Learnprograming byluckysir

High Paying Jobs after Learning Python

noreply@blogger.com (learnprogramingbyluckysir) — Tue, 07 Jun 2022 10:15:00 +0000

Everyone knows Python is one of the most demand Programming Language. It is a computer programming language to build web applications and scientific applications and to conduct data analysis.

python is Object Oriented and high level programming language and it is a general purpose programming language that means we can develop different types programs or applications irrespective of specific purpose.

Now a days most of the candidates preferred to learn python programming language only because it is easy to learn and understanable for beginners. Now Let us talk about what are the Highest paying IT jobs after learning core python.

Here are the List of Highest paying jobs after Learn python:

1. Python web Developer:

After Learning core python then learn python web development framework such as Django or Flask. Flask is easy to learn compare to Django. But Flask is used to develop medium size applications or projects. If you want develop complext web applications then use Django framework. You will get package if you are 3 years experienced candidate around 8 to 14 LPA. It depends on the company and your skill set and interview performance.

2. Data SCIENCE:

Python have set or rich librarires to develop Data science projects like Numpy, Pandas, Matplotlib, Scipy etc.. You can high package if you have 4 years experience then you can expect 17 LPA TO 25 LPA depends on the company

3. Machine Learning or Artificial Engineer:

If you learning Machine Learning related python libraries like scikit-learn , keras,Pytorch and Tensorflow etc..then you can become Machine Learning engineer. You will get good package like if you have 3 years of experience you will get around 16 LPA to 20 LPA it depneds on the company.

4. Full stack Python Developer:

Full stack developer means who know front end technologies and backend technologes that person is called full stack developer. so to become python full stack developer you should know fron end technologies like HTML, CSS, JavaSCRIPT and front end framework like Angular or React JS and Back end framework like DJango or Flask and one database application and any cloud service provider like AWS/AZURE/GCP. You will get good package like for 4 years experience candidate around 15 LPA TO 24 LPA it depends on the company

5. Data Analyst:

you should have good skills like Data visualization tool like power bi or Tableau, data warehouse skills and ETL SKILLS and database modeling skills then you can become Data analyst. You can expect good package like 3 years experience candidate 9 LPA 13 LPA Along with above skills you should have Good Logical Thinking Good analytical thinka and problem solver and Good Communication Skills to get high package.

Top 10 Programming Languages to Learn in 2021

noreply@blogger.com (learnprogramingbyluckysir) — Fri, 20 Nov 2020 12:27:00 +0000

Hello Everyone in this post you will know Top 10 programming Languages to learn in 2021 and also to get job in 2021. These programming languages are very demand in 2021. •Programming language is a computer language which is used by programmers to develop software programs. In today’s world people are getting smart and they want to use applications and tools.

Software engineers use a programming language that’s appropriate for the platform for which they’re building an application. It depends on what kind of software do you want to write? Web-based? Machine learning? Mobile? Device drivers? Robotics? Virtual reality? Video games?

ALL IT COMPANIES ARE HIRING WHO ARE GOOD AT ANY PROGRAMMING SKILLS AND WHO ARE STRONG CODING SKILLS THOSE PROGRAMMERS GETTING HIGH PACKAGE.

1. JavaScript:

JavaScript is one of the most popular languages in 2021 all over the world. It is used for front end web development and increases interactivity to the website by using graphic effects, animations, dynamic styling, forms. JavaScript language is widely applied in Game Development, Web and Mobile Development and Desktop Applications.

2. Python:

Python is quickly gaining its popularity by its applications in projects of Machine Learning and Data Science. The best thing about Python programming is that being a high level language it is easy to learn. Python language is used to develop Web & Desktop Development, Network Servers, Machine Learning, GUI Based Desktop applications, In Enterprise and Business and Data Science.

3. Java:

Java is again a popular language to acquire. It is also easier and faster to maintain with fewer bugs. It is well known for its features such as it has great portability as of JVM, Java can nearly run on any system. It is highly scalable. It another important feature is "Write once, run anywhere". Java has been applied in numerous fields, some of which are Scientific Applications, Banking & Financial Services, Web & Mobile Development and Desktop Development.

4. C#:

C# is a general-purpose language to acquire as it is one of the oldest and most popular languages. It is an Object-Oriented language. It runs on a .Net platform and is effective to build Windows desktop application and games using the C# language. It can be applied in creating VR Games, Windows 8 & 10 and in Game Development.

5. R is an open source software, which works best on GNU, Linux and Microsoft Windows. Compared to Python, R is difficult to learn. The application of R programming language is in the field of Data Science, Statistical Computing and Machine Learning.

6. C++ is considered as one of the most highly efficient and flexible to use programming language.

This language is used for writing device drivers and compilers and programming robots and the application of C++ can be seen in Game Development, Web & Mobile Solutions, Desktop Applications and Embedded Systems.

7. Go Language:

Go language was developed at Google to overcome the failings of other coding languages used by developers.

Go displays large data sets in an easy to understand workflow. Its’ most important feature is its concurrency, the ability of a program to run multiple tasks simultaneously. There are no complex abstractions or clever metaprogramming in Go—just basic features specified in a straightforward syntax.

8. Swift:

SWIFT is a general purpose, open source, compiled programming language developed by Apple. So, if you love using iOS apps and want to develop native iOS or Mac apps, then SWIFT is the one for you.

9. Kotlin:

Kotlin one of most used programmng language by Google for android development. It also supports functional programming languages. The application of KOTLIN is for Android Development, Web Development, Desktop Development and Server Side Development.

10. PHP

Php is used to create Web pages, which are written in HTML. PHP language is mainly used to create dynamic and static websites.

Project Manger Interview Questions and answer for Automation Testing

noreply@blogger.com (learnprogramingbyluckysir) — Fri, 23 Oct 2020 09:10:00 +0000

In this post you will know real time project manager interview questions and answers for automation testing experienced engineers. These manager round interview questions helpful who are going face technical round.

The following are the FAQ's for automation Testing engineers:

if you want answers with explanation watch this video:

1. Explain about your project?

2. Explain about responsibilities in your project?

• Identification of test cases for automation from existing test case documentation.

• Applying Designing and Test Automation Strategy Document

• Creating an automation test plan and getting approval.

• Configure Selenium Test Environment for setup(ex: Java, Selenium WebDriver and TestNG etc.).

• Participation in Selenium Environmental Setup with IDE.

• Automation framework design and implementation according to project structure.

• Creating, Enhancing, Debugging and Running Test Cases.

• Organizing, monitoring defect management process Handling changes and conducting regression tests.

3. How will you receive the project Requirements?

Project requirement will be receive from project repository like github. Once SRS completed then this SRS will put into the repository from there every tester will access.

4. What are the challenges you faced in the project?

5. What is your team size?

6. What you people discuss in sprint plan meeting?

7. How many test cases will execute per day?

8. Have you involved in the project release process?

9. Do you run all regression tests for every bug fixed?

10. Have you written any SQL Queries in your project? If you write SQL Query in which situation you used.

When we are going to fill data in the application form to ensure that the data is stored in the correct tables and columns and retrieve the data from the database by that time we used SQL Queries.

what should i learn selenium with java or selenium with python 2021

noreply@blogger.com (learnprogramingbyluckysir) — Wed, 21 Oct 2020 08:55:00 +0000

In this post you will know which is better career option selenium with java or selenium with python in 2021. Selenium is automation Testing tool it is used to automate the web applications.

Python is a good language, no doubt about it and works pretty well with Selenium. But there are good reasons to choose Java for Selenium:

For More Information watch this video in detailed:

a) Java is a more powerful language and has been evolving regularly with updated versions for every 6 months to one year that means that it will be able to constantly provide you more efficient code writing ability.

If we learn the Java programming language, then we can learn Rest Assured tool for Web services Automation. Rest Assured API will use Java programming language. Similarly we can learn Appium for mobile Automation and JMeter for performance testing. So learning Java will make you as an Full stack QE easily.

These are highly demand skills in IT market now and upcoming years also.

Selenium with Java community is much larger and it means that, if you are stuck, you will have plenty of support available to get out of that.

Job Opportunities : More than 70-80 % of companies uses Selenium with Java. , Means existing companies already they are having their own framework and they want expansion either in the existing projects or new projects. Probability of chances with Java with Selenium is High. Most of the level 4 and level 5 companies come under this strategy.

Python:

Python is mostly used in Telecommunications companies.

Who are introducing and traversing from Manual Testing to Automation they used selenium with python and who are working with Robot Framework they are using selenium with python.

The overall probability of getting jobs Selenium with Java : Selenium with Python = 7 : 4

My suggestion is to learn Java with Selenium and work for 2 years you will be hands on. Then learn Python language also, if you have both skills then you will better career scope in feature. After learning and getting experience with Selenium with Java. Learning Selenium with Python is easy.

You should be open to learn newer technologies, rather than going into comfort zone either you choose selenium with java or python

8. if you upgrade your skills will make you confident and also gives an upper edge over the other resources in the company.

Trends in current Market :

1. SDET is the most wanted skill set in the current market.

2. Learning Cloud based platforms such as AWS and Microsoft Azure is an added advantage.

3. Learning DevOps tools like Jenkins, Docker, kubernetes makes you to become Testing architect with high package.

My conclusion words are choose any programming langue depending on the application you test.

Page Object Model Interview Questions and answers for Selenium Tester

noreply@blogger.com (learnprogramingbyluckysir) — Tue, 20 Oct 2020 10:28:00 +0000

In this post you will know Most asked page object model interview questions and answer for selenium automation Tester. These POM interview questions frequently asked for automation testing engineer.

The following are the POM interview questions and answers:

If you want more questions with explanation watch below Video:

1. What is POM ? Advantages of POM?

Page Object Model (POM) is a design principle to manage the test cases and page objects separately.Framework types like data-driven, behavior-driven, keyword-driven, etc. can be designed with the page object model.

The main advantage of Page Object Model is that if the UI changes for any page, it don’t require us to change any tests, we just need to change only the code within the page objects.

improves code readability - Allows us to separate operations and flows in the UI from Verification

Re-usability of code - a locator or function can be reused in the tests.Eliminate

redundancy – no duplicity of functions or locators.

2. What is Page Factory?

Page Factory is enhancement of POM. Page factory provide the facility to locate and initialize web elements of an page without using findElement( ) or findElements( ) method of selenium

Page factory provides annotations like @FindBy, @FindAll, which locate the web element and return the WebElement instance for the same

These annotations use the attributes for specific locator types like id, name, class name, CSS, link text, partial link text, class-name, and XPath

3. How page classes will interact with Web Elements in POM?

The Page object is an object-oriented class which acts as an interface for the page of your Application under test. Page class contains web elements and methods to interact with web elements. While automating the test cases, we create the object of these Page Classes and interact with web elements by calling the methods of these classes

4. What are the OOPS Concepts applied in POM?

Abstraction:

Both POM and page Factory Design patterns inspired through abstraction.

Interface:

WebDriver driver = new FirefoxDriver();

Inheritance:

Polymorphism:

Encapsulation:

5. What are the Design Pattern used in the Project?

Most frequently used design patterns is POM (Page Object Model). Enhanced POM, also known as Page Factory can be used which helps you in resolving stale element exception, also provides cache management.Both POM and Page Factory design patterns are inspired through Abstraction

Strategy Design pattern

6. What are the Challenges faced while Working with Selenium Automation?

Generally an automation engineer face is maintaining the code.

If your application is frequently changing html elements of the page and some new components are being added and so on, this may affect your code especially locators.

To get rid of these situations we have certain design patterns like POM (Page Object Model), Page Factory.

One more challenge is while working with Selenium is Synchronization.

7. How to Explain Project in Interview For Experienced?

Tell me about yourself interview question for Java Experienced Developer

noreply@blogger.com (learnprogramingbyluckysir) — Thu, 15 Oct 2020 05:16:00 +0000

In this post you will know how to introduce yourself as senior java developer in the interview. This is one of the best answer for the interview question is tell me about yourself some thing or introduce yourself or how your friends describe you.

How to Prepare Java Interview for 3 Years Experinced

noreply@blogger.com (learnprogramingbyluckysir) — Wed, 14 Oct 2020 12:20:00 +0000

In this post you will know how to crack Java Developer interview for Experienced Candidates. Java is one of the popular programming Language in the world. Java is every where. With the help of java we can developer Web applications, Mobile applications , enterprise applications and it also supports to work with Bigdata and IoT.

Now we will see what are the concepts must prepare before attending technical interview.

Core java : You have must have deep knowledge on String class, Collections Framework, Oops, exception handling, multithreading, Logical thinking,(You are going to asked 50% of the questions from Core java only)

If you want too see more Explanation on this topic then watch this video:

Core java

• OOPS ( specially differentiating abstraction & encapsulation)

• String ( immutability ), String Buffer , String Builder

• Threads (implementing ways ,race around condition, deadlock etc )

• Exception Handling

• Object class ( hash code and equals methods )

• Comparator , comparable

• Interface , abstract class

• Collections ( differences and when to use )

• static class , static method , static block difference

• final keyword - significance and use

• heap area , stack area , string pool

• Singleton class and its implementation

Advance Java: Concepts of servlet, Jsp (Basics), life cycles(15% questions)

Advanced Java

3. Difference between JSP , Servlet

4. forward and redirect

5. life cycle of JSP and servlet

6. JSP scriptlets , directives , declaration , expressions

FrameWork :

Spring(Dependencynjection,AOP.JDBC,MVC, autowiring, annotations like @component @controller @repository, spring MVC related interview questions like validate data from spring web mvc, Transaction management, Dispatchservlet, Security,cache, spring integration) is must,

SpringBoot related Interview Questions

hibernate Interview Questions

webservices Interview Questions like SOAP/REST (25% question )

Design patterns like strategy, singleton, factory, abstract factory.

Build Tools: Maven or Gradle

Version Control: SVN , Git

Servers: tomcat, web logic and Web Sphere

Project methodology: Agile, Scrum

Project Manager round: which domain you are working, who is you client, which part you have developed in the project, which App server you are using and version, Describe your role in project.(10% questions)

If you are attending Interview with product based company then you must prepare Data Structure and algorithms in Depth. Since Product based companies most focus on problem solving skills and algorithms.

Data structure & Algorithm : this is one of the major section where you have to code on the provided question or explain the one. so prepare & practice well on trees, tries, BFS, DFS, String search, searching & sorting, Arrays etc

How to Learn Java 2021 | What are the skills required to become Java Developer 2021

noreply@blogger.com (learnprogramingbyluckysir) — Mon, 05 Oct 2020 12:29:00 +0000

In this post you will now what are the skills required to become a java developer 2021 based on their experience. Java has been a leading programming language In IT. It is widely used for developing web applications, enterprise applications, cloud computing applications, Machine learning environment and IoT . Java is most popular choice writing android apps.

Fresher or Beginner

Core Java

Advanced Java Servlets and JSP(Good to have)

Basic Knowledge Of spring framework

Database Skills like SQL , oracle

Frontend Tech like HTML,CSS and JS

Basic knowledge on Linux and windows environments

For 1 to 3 Years Experience Java Developer

Core Java

Advanced Java Servlets and JSP

Web framework like Spring and Springboot framework

Hibernate Framework

Database skills: SQL, ORACLE

Micro services

Frontend Tech like HTML, CSS and JS

Web services like SOAP/REST(Intermediately)

Java Build Tool: Maven, ant

Any web or application server like Tomcat, web logic

• Comfortable with Linux/Unix and Windows environments.

For 3 to 7 Years Experience Java Developer:

Core Java

Advanced Java Servlets and JSP

Web framework like Spring and Springboot framework

Hibernate Framework

Database skills: SQL, ORACLE

Microservices

Front-end Tech like HTML, CSS and JS

Web services like SOAP/REST

Design Patterns

Java Build Tool: Maven, ant, Gradle

Any one JS framework( React, angular,JQuery)

JUNIT( Testing framework)

Any application server like weblogic , JBOSS, Tomcat and web sphere

Software methodology like agile

Any automation Testing tool like Selenium

Any Cloud Services Exp like AWS , azure or GCP

Basic Network related skills.

Comfortable with Linux/Unix and Windows environments.

For 7 to 15 Years Experience Java Developer:

The above Skills and the following skills:

• Strong Experience with relational databases, SQL, ORACLE . Experience with PostgresSQL

• Experience working with Docker

• Familiar with security, authentication , authorization (Oauth2.0) technologies

• Comfortable with Linux/Unix and Windows environments.

• Software development and engineering skills on large-scale, mission-critical infrastructure applications is a plus.

• Demonstrated ability to develop tests at the unit and component level for either frontend or backend.

• Exp with Agile SCRUM development methodologies

Experience with SaaS, container development strongly desired.

• Experience with distributed and/or big data systems

• Experience with concurrency issues in multi-threaded programs

• Experience working with Kubernetes

• Experience working with jenkins

• Should have good debugging skills, project set up etc..

• Project Management skills(nice to have PMP Certification)

• Nice to certifications like OCAJP ,Spring profession certification, aws solution architect, scrum master certification, pmp certification

How to Learn Python

noreply@blogger.com (learnprogramingbyluckysir) — Tue, 29 Sep 2020 08:33:00 +0000

In this post you will learn how to learn python as beginner step by step easy way to learn python within one month.If your are thinking to start learning python then I guess you made the right choice by starting to learn Python because Python is the world’s fastest and most popular programming language not just among SDE’s but also among Data Analysts, Scientists and even Kids too!!! The reason is simple because Python is a very beginner-friendly programming language and one of the most used programming language. Python has found its places everywhere such as web development, machine learning, and artificial intelligence or even the programming of micro controls –

You may have doubt why everyone says python is easy programming language the reason is due to its syntax and readability. hence it reduces the cost of maintenance of the program. The syntax of Python is smaller than most other programming languages like Java, C, C++.

Before starting learning about Python, it is very important to understand your areas of interest. Pick an area you’re interested in, such as:

Data science / Machine learning

Mobile apps

Web Development

Games

Scripts to automate your work

Now we will see step by step the best way to learn python programming

Step 1: ( one week to 15 Days)

Python Basics like history of python, variables, oprtaors, functions and control structures these topics extremely easy compared to other languages like JAVA, c, c++

Step 2: OOPS concept, Built-in Data Structures (10 to 15 Days)

OOPS in Python

List, Tuples, Dictionary.

String Formatting

Exception Handling

If you are a beginner then I would recommend you to focus on this section as it is widely used while making complex applications.You might not understand a lot of things at first, but give things time to sink in and it will make sense.

Step 3: Web Frameworks(2 Weeks)

There are so many frameworks for web applications in Python.

Django: A high-level web framework mostly used in startups and enterprises for web development. It follows the MVC pattern and you can use multiple databases such as PostgreSQL, MySQL, SQLite, and Oracle.

Flask: Flask is one of the easiest micro-frameworks to learn in Python.

Web-crawler:

Building a web crawler was interesting as well, crawler which was used by search engines back in the early days to crawl web pages, find links and store those links in a file.

Step 4: Python Libraries ( 1 week)

If you aspire to be a data analyst/ data scientist then focus on learning these libraries.

Learned about the Numpy and Pandas library which are extensively used to perform data analysis with Python.

Step 5: ML: (2 weeks)

For learning you need to learn

TensorFlow: It is one of the most famous and popular deep learning library developed by Google

Scikit-Learn: It is Machine learning library for Python designed to work with numerical libraries.

PyTorch: It is the library that can handle dynamic computation graphs.

Step 6: Learn Automation with selenium(1 week)

After learning almost everything about Python selenium felt pretty easy.

Selenium is originally used for testing purposes but it turns out that you can automate various tasks with it. So overall It took around 10 - 14 weeks to complete the python course

Note that you have to dedicate 2–3 hours every day for learning.

After learning everything try to build your own projects like calculator, weather applicaton, E commerce, online cv generator etc..

Here are the python best books for beginners

learn python

python cookbook

python essenstional reference

python in nutshell

online Resources:

Some of the tips from my side:

Have patience, it’s not just in case of learning Python but also it’s in the case of learning another language. Learning a first language always requires more effort and time so understand that it will take time to sink everything.

Be consistent, if you are not consistent in learning it will take a lot more time and effort.

The building project is always helpful in building confidence so don’t ignore its importance.

Due to some complex terms, errors, and issues, you will feel like giving up. Don’t do that, it happens with everyone in programming.

Interview Questions for experienced java developer

noreply@blogger.com (learnprogramingbyluckysir) — Thu, 24 Sep 2020 11:55:00 +0000

In this post you will know 22 most asked core java interview Questions and answers for java developers who are having 1 to 4 years of experienced.

When you are attending for Java interview core java interview questions plays important role no matter you are fresher or mid level developer or senior java developer. This technical round decides outcome of your interview.

1. Why you override hashcode along with equls() method?

2. How to prevent a class from being sub classed in java?

When a final modifier is used with a class then the class cannot be extended further. This is one way to protect your class from being sub classed and often sensitive classes are made final due to security reason. This is also one of the reasons why String and wrapper classes are final in Java.

Want see all answers then watch this video:

3. Can we override static method?

No, you cannot override static method in Java because method overriding is based upon dynamic binding at runtime and static methods are bonded using static binding at compile time. Though you can declare a method with same name and method signature in sub class which does look like you can override static method in Java but in reality that is method hiding.

4. Can we access private method in Java?

Yes, we can access private method in the same class but not outside the class.

5. Can you explain final keyword?

Final is a special keyword it can be used in different context such as:

When the final keyword is used with a variable then its value can’t be changed once assigned.

When a method is declared final then it can’t be overridden by the inheriting class.

When a class is declared as final in Java, it can’t be extended by any subclass class but it can extend other class.

6. Difference between checked Exception and unchecked Exception

Checked Exception: The exceptions which are checked by the compiler for smooth excetuon of the program at runtime is called checked exception:

It means if a method is throwing a checked exception then it should handle the exception using try-catch block or it should declare the exception using throws keyword, otherwise the program will give a compilation error.

• Ex: SQLException

• IOException

• ClassNotFoundException

Unchecked Exception: The exceptions which are not checked by the compiler are called unchecked Exception.

Ex: NullPointerException

ArrayIndexOutOfBound

IllegalArgumentException

IllegalStateException

7. How to fix concurrentModificationException?

8. Difference between abstract class and interface?

9. When to use abstract class and interface in java?

10. Difference Btw method overloading and overriding in java?

11. Difference between encapsulation and abstraction?

12. Have you applied object cloning in your project?

Object cloning in Java is the process of creating an exact copy of an object. It basically means the ability to create an object with a similar state as the original object. To achieve this, Java provides a method clone() to make use of this functionality. This method creates a new instance of the class of the current object and then initializes all its fields with the exact same contents of corresponding fields.

13. Difference between HashTable and HashMap

14. When to use Transient variable?

when you want to make a variable non-serializable in a class, which implements the Serializable interface. In other words, you can use it for a variable whose value you don't want to save.

15. Tell me one example when to use ArrayList and when to use LinkedList?

Arraylist is best choice is if our frequent operation is retrival that means get(int) or when search operation need to be performed.

Whereas Linkedlist is best choice if our frequent operation is insert and delete operations in the middle. Since it does not need several shift operation internally.

16. Diff b/w StringBuffer and StringBuilder

Every method present in StringBuffer is synchronized that means at a time only one thread is allowed to operate on StringBuffer object, hence StringBuffer obj is ThreadSafe whereas no method present in stringbuilder is synchronized that means multiple threads are allowed to operate simulountesly hence stringbuffer is not thread safe.

Stringbuffer increases waiting time of threads and hence performance is low whereas threads are not req to hold and hence performance is high.

17. How to create custom exception? Or user defined exception

To create user defined exception we need to write subclass simply extending the java Exception class and you can override toString()function to display your customize message on catch.

In the Exception class provides methods to show error message to the end users. They are

getLocalizedMessage()

getMessage()

toSting()

While you want to develop user defined exception in your programming project no need to override any of the above methods which are available in the Exception class in the sub class. Based on your project requirement you have to customize your message to show end users.

Simply says You can Override toString() method to display custom message.

You must extend the Exception class to create custom exceptions

18. When we should go for join() method?

If a thread wants to wait until completing some other thread then we should go for join() method. Join() method throws interruptedexception which is checked exception, hence we should handle either try-catch or throws keyword.

19. What type of exceptions faced in your project and how you resolve it?

I have faced different types of exceptions but some of the exceptions like nullpointerexceptions, concurrentmodification exception and illegalmonitorstateexception.

Wait(), notify() and notifyall() methods are available in Object class but not in Thread class becaz thread can call these methods on any common object.

To call wait(), notify() and notifyall() methods compulsory the current thread should be owner of that object that is current thread should has lock of that object that is current thread should be synchronized area. Hence we can call wait(), notify() and notifyall() methods only from synchronized are otherwise will get Runtime exception says Illegalstatemonitorexception.

Tell me some java8 features with example

Java 8 has been one of the biggest releases after Java 5 annotations and generics. Some of the important features of Java 8 are:

1. Interface changes with default and static methods

2. Functional interfaces and Lambda Expressions

3. Java Stream API for collection classes

4. Java Date Time API

20. Why we need generics? Have you used generics in Your Project?

21. Difference between Loose coupling and tight coupling?

22. Difference between BufferReader and Scanner in Java? which one prefer?

23. Explain collection conepts with realtime examples?

24. Exalain oops concepts with real time examples

25. What is singleton class in Java?

26. Difference between ClassNotFoundException and NoClassDefFoundError

27. Difference between constructor and method

28. Explain public static void main()

29. Difference between Heap Memory and Stack

30. How to explain Spring MVC Architecture

31. How to explain project architecture?

Top 5 Best Microservices Books

noreply@blogger.com (learnprogramingbyluckysir) — Fri, 18 Sep 2020 12:16:00 +0000

In this post you will know the top 5 MicroServices Architecture Books for java developers as well as software architect position developers.

Microservices architecture allows developers to build and maintain applications with ease, and enterprises are rapidly adopting it to build software using Spring Boot as their default framework. With this book, you’ll learn how to efficiently build and deploy microservices using Spring Boot.

1. Hands - on Microservices with springBoot and spring Cloud

This book covers the following exciting features:

Build reactive microservices using Spring Boot

Develop resilient and scalable microservices using Spring Cloud

Use OAuth 2.0/OIDC and Spring Security to protect public APIs

Implement Docker to bridge the gap between development, testing, and production

Deploy and manage microservices using Kubernetes

Apply Istio for improved security, observability, and traffic management

2: Building Microservices

In this book, sam newman covered the principles of Microservice Architecture as well as how to design, deploy, test and observe Microservice Architecture in length. He also pointed out the potential pitfalls about designing Microservices and how to migrate a Monolith application into Microservices in an evolutionary way. As a bonus, Sam Newman’s writing is elegant, clear and he has explained such a complex topic in a surprisingly simple way. This is a must-read book for anyone wants to be engaged in Microservices

3. Microservices Patterns

In this book: the topics covered the advantages of Microservice Architecture as well as the disadvantages and challenges of Microservices. For every challenge, he has then offered one or more patterns to solve the problem and their merits/demerits. This book also summarizes all the patterns used in the Microservices world.

4. Spring Microservices in Action

This book teaches you how to build microservice-based applications using Java and the Spring platform. You'll learn to do microservice design as you build and deploy your first Spring Cloud application. Throughout the book, carefully selected real-life examples expose microservice-based patterns for configuring, routing, scaling, and deploying your services. You'll see how Spring's intuitive tooling can help augment and refactor existing applications with microservices.

5. Cloud native architecture

The book starts with a quick introduction to cloud native architectures, helping you get up to speed with what cloud native architecture is. You will learn what a cloud adoption framework looks like and even go on to develop cloud native architectures using microservices and serverless computing as design principles. You'll then explore the major pillars of cloud native design including scalability and availability, cost optimization, security, and operational excellence to build on your knowledge of effectively running and managing cloud environments. In the concluding chapters, you will learn about a variety of public cloud architectures, right from Amazon Web Services (AWS) and Azure through to the Google Cloud Platform (GCP).

What you will learn

Understand the difference between cloud native and traditional architectures

Explore different aspects of migration, including when and why you should migrate

Identify the elements you need to consider when selecting a technology for your architecture

Automate security controls and configuration management

Use Infrastructure as Code(IaC) and CI/CD pipelines to run environments in a sustainable manner

Understand the cloud native application development capabilities of AWS

Who this book is for

This book is for software architects who want to design resilient, scalable, and highly available applications that are native to the cloud.

When to use SQL and NoSQL

noreply@blogger.com (learnprogramingbyluckysir) — Wed, 09 Sep 2020 08:47:00 +0000

In this post you will know when to use SQL and NoSQL . This is question may rise from many of software developers what exactly difference between SQL and NoSQL and when to use SQL and NoSQL.

First let us understand why nosql came into IT Market though sql already exist. The main reason is, with rise of social media,E commerce, search, and the explosion of data, SQL was struggling to manage all the requests, transactions, and activity occurring online. NoSQL is designed to manage lots of traffic and data.

SQL is used to communicate with Relational Databases. It is used to store ,update,delete the data.

RDBMS stores the data in a very organized way in tabular format.

Examples for RDBMS are:

oracle, mysql, sql server

whereas nosql(not only sql) can store the data in different types of data together. Data is stored in many ways which means it can be document-oriented, column-oriented, graph-based or organized as a Key-value store. It is used for flexibility and therefore speed and scalability in managing large volumes of data.

There are four types of NoSQL databases.

Key value: data is stored as attribute names or keys with values

Document: contains many different key value pairs

Graph: used to store data related to connections or networks

Column: data is stored as columns instead of rows

Examples for nosql database are:

MongoDB, Cassandra, Redis, Couchbase, DynamoDB and Hbase

Now lets talk about when to use SQL and nosql

Use SQL instead of Nosql

You’re working with complex queries and reports. With SQL you can build one script that retrieves and presents your data.

NoSQL doesn’t support relations between data types.

SQL databases are a better fit for heavy duty or complex transactions because it’s more stable and ensure data integrity.

if you’re not working with a large volume of data and not expecting constant changing in your project then sql is best choice.

use nosql instead of sql

if You are not concerned about data consistency and 100% data integrity then no sql is best choice.

For example, with social media platforms, it isn’t important if everyone sees your new post at the exact same time, which means data consistency is not a priority.

You have a lot of data, many different data types, and your data needs will only grow over time. NoSQL makes it easy to store all different types of data together and without having to invest time into defining what type of data you’re storing in advance.

It can’t guarantee ACID properties. In such cases like financial transactions, etc., you may go with SQL databases.

If you have local data transactions that need not be very durable.

if You are constantly adding new features, functions, data types then nosql is better choice.

The choice of the database will depend upon your preferences, business requirements, volume, and variety of data.

NoSQL databases are gaining large popularity these days due to their capacity to integrate big data, low cost, easy scalability,

and open source features. However, it is still a relatively young technology and lacks standardization, unlike SQL which in

turn creates some issues during migration. Lack of ACID compliance is also a concern with NoSQL.

Will you Leave this company if you get better opportunity?

noreply@blogger.com (learnprogramingbyluckysir) — Fri, 04 Sep 2020 06:39:00 +0000

In this post i am going to sharing frequently asked HR Tricky Interview Question and also who attend for government jobs also may face this type of tricky interview questions. In this session you will find Best answer for the HR interview " will you leave this organization if you get better opportunities?

Okay, these kinds of questions are quiet tricky. Either of a straight YES and NO can create a negative image of yours. You need to be sincere enough to deal with such a situation.

Sometimes it's good to be diplomatic to get an offer with a handsome paycheck. Let's find out the consequences of saying yes or no:

If you directly say YES then it leaves a negative impression about you which is not acceptable in the corporate environment and it would be significant enough to disqualify you for the further rounds. So not a direct yes on this question.

If you directly say NO then the interviewer might think that you are lying to land into a job.

What should be your ideal take on this???

This question must be answered in a somewhat diplomatic manner. I would answer this question like — “For me, better opportunities does not mean a raise in salary. If I would get better opportunities in terms of learning, opportunities to showcase my skills, better career growth options, good working culture, opportunities to work in my areas of interest only then would I consider leaving the organization. Working for this organization has always been my dream and I would not leave the organization just for a mere hike in my salary.”

Second answer should be like “First of all, I will explore the information about the opportunity to figure out the outcomes of joining. Everybody loves the comfort zone and once I start feeling comfortable here, it would be hard for me to switch my loyalty and compromise my comfort level. Comfort in terms of cordial relationship with my peers, not finding comfort in my tasks.

I love challenging tasks only. To be honest, I will try to seek advice from my college seniors and the elders in my family. If the opportunity fits all the aspects then I will definitely reveal the same to my reporting manager and I hope your employee retainment policies must be reasonable enough to retain my employment with this organization.”

How to become full stack .Net Developer

noreply@blogger.com (learnprogramingbyluckysir) — Mon, 04 May 2020 07:40:00 +0000

In this post you will know how to become a full stack .net Developer and also known who is full stack developer and what are the skills required to become a full stack .net developer.

A full stack developer is capable of working both front and Back end Technologies and also should have worked on servers, database, software design, cloud technologies etc..

The following are the skills required to become a full stack .net developer:

Front End:

· HTML

· CSS

· Bootstrap

· JavaScript

· jQuery/ Angular JS

· AJAX

Back End:

· C#

· ASP.NET

· .NET Core(Newly released)

Frameworks:

· Web API

· MVC

Database:

· Sql Server

Cloud Technology:

· Microsoft Azure

Added Skills:

· Devops

· Testing skills

· Software Design skills

· Version Control : GIT (or) SVN

· Communication and Presentation

When to use SQL and when to use NoSQL

noreply@blogger.com (learnprogramingbyluckysir) — Sat, 15 Feb 2020 00:24:00 +0000

In this post you will know what is SQL and NoSQL and the main differences between them and also covered when to use SQL and Which scenario recommended to use NoSQL,

SQL stands for Structured Query language, pronounced as "S-Q-L" or sometimes as "See-Quel". SQL is the standard language for dealing with Relational Databases. SQL can be used to insert, search, update and delete database records. SQL can do lots of other operations including optimizing and maintenance of databases. Relational databases like MySQL Database, Oracle, Ms SQL server, Sybase, etc uses SQL.

NoSQL is not a relational database. The reality is that a relational database model may not be the best solution for all situations. The easiest way to think of NoSQL, is that of a database which does not adhering to the traditional relational database management system (RDMS) structure. Sometimes you will also see it revered to as 'not only SQL'.

Now we will see the key differences between SQL and NoSQL

SQL

NoSQL

1. SQL is Relational data base(RDBMS)

2. It is a query based language

3. These databases are table based databases.

4. SQL databases are vertically scalable.

5. SQL databases are suitable for complex query intensive work environments.

6. SQL follow ACID model such as:

· Atomicity

· Consistency

· Isolation

· Durability

Examples: oracle,mysql,sql server etc..

1. These databases are called non relational databases or distributed data bases.

2. This database is no declarative query language.

3. This database can be document based, graphs, key-value paired data bases.

4. NoSQL databases are horizontally scalable.

5. It is not suitable for complex query.

6. NoSQL follows BASE model such as

· Basically available

· Soft State

· Eventually Consistent

Examples: MangoDB, DaynoDB, Cassandra etc..

when to use SQL:

 SQL Preferred when building customer reports
 When the requirement is to store and get data from a database.
 If communication is required from different related tables then should use SQL
 If you want write complex queries using joins, views , stored procedures.

When to use NoSQL:
 Need to handle large volumes of structured, semi-structured, and unstructured data
 Follow modern development practices such as agile sprints, quick iterations, and frequent code pushes
 Prefer object-oriented programming that is easy to use and flexible
 Used when logging data from variety of sources.

Network Engineer Interview Questions and answers

noreply@blogger.com (learnprogramingbyluckysir) — Sat, 01 Feb 2020 07:30:00 +0000

In this post you will learn network administrator interview questions and answers. These questions from basic to advanced level interview questions.

1. What is Network?

A network is a set of devices connected by physical media links. It is used to share resources such as data, printers,CD-ROM and exchanging files. The main purpose of the networking is to share information.

2.What is firewall and how it is used?

A firewall is simply a program or hardware device that filters the information coming through the Internet connection into your private network or computer system. If an incoming packet of information is flagged by the filters, it is not allowed through. Firewall prevents a connection between two or multiple sources; it basically blocks any incoming or outgoing traffic.

3. What type of authentication do you use for network access?

Knowledge of different types of authentication, an understanding of different security protocols

"Two-factor authentication is substantially more secure than single factor authentication. For sensitive information, I would definitely recommend an upgrade if you don't already use two-factor authentication. Biometrics are often the easiest for users, provided you already have the hardware. If not, a token is a great way to add security without spending a lot on hardware."

4. Difference Between workgroup and Domain?

With a Workgroup you have a collection of systems that are connected to the same network but have their own set of rules and permission set at local level. With a Domain you have a group of systems that are bound by the rules of centralized authentication server. In a Domain each system has to connect through the Domain server using provided credentials.

5. What is 255.255.255.255 used for?

A broadcast address is always relative to a given network, there is no broadcast per se; when you have a network, you can compute its broadcast address by replacing all the host bits with 1s; simply put, the broadcast address is the highest numbered address you can have on the network, while the network address is the lowest one (with all host bits set to 0s); this is why you can't use either of them as actual host addresses: they are reserved for this use.

If your network is 192.168.1.0/24, then your network address will be 192.168.1.0 and your broadcast address will be 192.168.1.255.

If your network is 192.168.0.0/16, then your network address will be 192.168.0.0 and your broadcast address will be 192.168.255.255.

And so on...

255.255.255.255 is a special broadcast address, which means "this network": it lets you send a broadcast packet to the network you're connected to, without actually caring about its address; in this, is similar to 127.0.0.1, which is a virtual address meaning "local host".

6 Can you name different types of network cables?

Cat-5 runs at 100Mb/s maximum, Cat-5e can run up to 1Gb/s, and Cat-6 can run up to 1OGb/s connection speed. All cables are limited to 100 meters distance in order to run at optimum speed

7 What is TCP/IP?

Transmission Control Protocol/Internet Protocol (TCP/IP) is a networking protocol that allows two computers to Communicate. TCP is used in conjunction with IP in order to maintain a connection between the sender and the target and to ensure packet order.

The Internet Protocol (IP) is the address system of the Internet and has the core function of delivering packets of information from a source device to a target device. IP is the primary way in which network connections are made, and it establishes the basis of the Internet. IP does not handle packet ordering or error checking. Such functionality requires another protocol, typically TCP

8. What is UDP? Use of UDP?

UDP is a communication protocol used across the Internet for especially time-sensitive transmissions such as video playback or DNS lookups. It speeds up communications by not requiring what’s known as a “handshake”, allowing data to be transferred before the receiving party agrees to the communication. This allows the protocol to operate very quickly, and also creates an opening for exploitation.

9. What is Proxy Server? Use of Proxy Server?

A proxy server is basically another computer which serves as a hub through which internet requests are processed. By connecting through one of these servers, your computer sends your requests to the server which then processes your request and returns what you were wanting. In this way it serves as an intermediary between your home machine and the rest of the computers on the internet.

If you want to surf the web anonymously then proxies can provide you with a means to hide your home IP address from the rest of the world. By connecting to the internet through proxies, the home IP address of your machine will not be shown but rather the IP of the proxy server will be shown. This can provide you with more privacy then if you were simply connecting directly to the internet

10. What is the maximum length of UTP cable allowed?

The maximum length of UTP is 90 to 100 meters for a single segment connection. If you have a switch or a repeater it can compensate for this limitation.

11. How can you tell a connection is passed between local host and server?

The tracert command is a Command Prompt command that's used to show several details about the path that a packet takes from the computer or device you're on to whatever destination you specify. It is used for troubleshooting dead connections as well.

12. What is VPN Network? What is the use of it?

In very simple terms, a VPN connects your PC, smartphone, or tablet to another computer (called a server) somewhere on the internet, and allows you to browse the internet using that computer’s internet connection. So if that server is in a different country, it will appear as if you are coming from that country, and you can potentially access things that you couldn’t normally.

Bypass geographic restrictions on websites or streaming audio and video.

Watch streaming media like Netflix

Protect yourself from snooping on untrustworthy Wi-Fi hotspots.

Gain at least some anonymity online by hiding your true location.

Protect yourself from being logged while torrenting.

13. What is DHCP?

DHCP (Dynamic Host Configuration Protocol) is a network management protocol used to dynamically assign an Internet Protocol (IP) address to any device, or node, on a network so they can communicate using IP. DHCP automates and centrally manages these configurations rather than requiring network administrators to manually assign IP addresses to all network devices. DHCP can be implemented on small local networks, as well as large enterprise networks.

DHCP will assign new IP addresses in each location when devices are moved from place to place, which means network administrators do not have to manually configure each device with a valid IP address or reconfigure the device with a new IP address if it moves to a new location on the network.

14. What is FTP?

FTP stands for File transfer protocol.FTP is a standard internet protocol provided by TCP/IP used for transmitting the files from one host to another.It is mainly used for transferring the web page files from their creator to the computer that acts as a server for other computers on the internet.It is also used for downloading the files to computer from other servers.

15. What is Subnet?

A subnet is a logical partition of an IP network into multiple, smaller network segments

Difference Between V-Model and Agile Methodology

noreply@blogger.com (learnprogramingbyluckysir) — Thu, 07 Nov 2019 11:03:00 +0000

In this post we will discuss one of the frquently asked interview question who are survive in the IT field that is what is difference Between V-model and Agile Methodology. The following are the key differences

Difference Between V-Model and Agile Methodology v- model Agile

. V-model is also called as Verification and validation model.
2. It is not iterative approach
3. Developers and Testers are independent.
4. Developers and Testers do not interact much with end users.
5. We can not accommodate frequently changed requirements in the middle of the project
6. It is rigid and not flexible
7. It has two phases like verification and validation.
8. No Customer Satisfaction
9. If requirement is change(but not frequently),larger project, proper validation to take place in each phase then choose V- model

1. Agile is an iterative approach to project management and software development that helps teams deliver value to their customers faster.
2. It is Iterative approach
3. Both Developers and Testers are dependent on each other.
4. Communication is easy between end users, developer team and Testing team
5. We can easily accommodate frequently changed requirements in the middle of the project
6. It is flexible
7. It consists of different sprints.
8. Customer satisfaction by giving rapid and continuous delivery of small and useful software.
9. If requirement changes frequently, deliver product in short period of time then choose Agile methodology.

Agile Manifesto Principles

noreply@blogger.com (learnprogramingbyluckysir) — Sun, 18 Aug 2019 00:44:00 +0000

In this post you will know the 12 Agile principles where every team member should follow to develop and delivery quality software product. Agile software development is an approach to software development under which requirements and solutions evolve through the collaborative effort of self-organizing and cross-functional teams and their customer(s)/end user(s).The following are the 12 agile principles.

1. Customer Satisfaction:

Manifesto provides high priority to satisfy the costumer's requirements. This is done through early and continuous delivery of valuable software.

2. Welcome Change:

Making changes during software development is common and inevitable. Every changing requirement should be welcome, even in the late development phase. Agile process works to increase the customers' competitive advantage.

3. Deliver the Working Software:

Deliver the working software frequently, ranging from a few weeks to a few months with considering the shortest time period.

4. Collaboration:

Business people (Scrum Master and Project Owner) and developers must work together during the entire life of a project development phase.

5. Motivation:

Projects should be build around motivated team members. Provide such environment that supports individual team members and trust them. It makes them feel responsible for getting the job done thoroughly.

6. Face-to-face Conversation:

Face-to-face conversation between Scrum Master and development team and between the Scrum Master and customers for the most efficient and effective method of conveying information to and within a development team.

7. Measure the Progress as per the Working Software:

The working software is the key and primary measure of the progress.

8. Maintain Constant Pace:

The aim of agile development is sustainable development. All the businesses and users should be able to maintain a constant pace with the project.

9. Monitoring:

Pay regular attention to technical excellence and good design to maximize agility.

10. Simplicity:

Keep things simple and use simple terms to measure the work that is not completed.

11. Self-organized Teams:

The Agile team should be self-organized. They should not be depending heavily on other teams because the best architectures, requirements, and designs emerge from self-organized teams.

12. Review the Work Regularly: The work should be reviewed at regular intervals, so that the team can reflect on how to become more productive and adjust its behavior accordingly.

Prerequisites to learn Artificial Intelligence

noreply@blogger.com (learnprogramingbyluckysir) — Wed, 07 Aug 2019 13:11:00 +0000

In this post you will know what are the things should know to learn AI. You should know one programming language and must have sound knowledge on Mathematical, statistics etc..

Artificial Intelligence or AI is the term used for the ability of a computer program or a machine to learn. This learning enables the program to think, decide and do work based on pre-programmed instruction sets.
In the field of research and analysis AI is used. Its very import in the current time of Big Data also.

What are prerequisites for learning Artificial Intelligence?
Let's see the prerequisites for learning exciting Artificial Intelligence technologies.

Strong hold over python,R,Scala
Very good Statistical Knowledge and some of the books that i would recommend would be
A Probabilistic Theory of Pattern Recognition
Advanced Engineering Mathematics
Probability and Statistics Cookbook
Some books on Machine Learning like
An Introduction to Statistical Learning (with applications in R)
Probabilistic Programming and Bayesian Methods for Hackers
Bayesian Reasoning and Machine Learning
And most important is continuous learning.
Having good knowledge of python libraries like sklearn,pandas,numpy.

How long it will take to complete Course?

In my opinion, learning AI it it not a matter of 4 hours or 1 hour crash course, it will take around 6 to 8 months to become expert in it. One weapon is to become expert is continue learning and keep practice.

Where i can learn AI?

I strongly recommended learn AI from Professionals through online. My favorite websites are Edx and Coursera.

I hope you enjoy this article keep follow me for more update all the best

Is Data Scientist is Difficult to learn?

noreply@blogger.com (learnprogramingbyluckysir) — Sun, 04 Aug 2019 01:41:00 +0000

In this post you will know why becoming a data scientist is difficult. what are the reasons behind that. In my experience doing machine learning and data science, there are a lot of different elements you have to know quite well to be effective in your work. These include the following:

General programming familiarity. I consider data scientists to be engineers, where instead of coding a web app as a front-end engineer would do, they are responsible for architecting data processing pipelines, designing and implementing models, and developing infrastructure for system evaluation and metrics computation. As you can imagine, performing these tasks requires a reasonable amount of fluency with a high-level programming language (think Python, R, Matlab, or Julia), as well as data science specific libraries (think Pandas, Scikit-learn, Matplotlib, or Tensorflow). Developing this skill alone is something that can make up a year or more of an undergraduate computer science degree.

Mathematical maturity. Data scientists must be comfortable with a variety of mathematical topics. These include statistics, probability theory, and linear algebra, to name a few. Very often in a traditional data science role, you will have to read academic papers describing some model or dataset and be able to utilize and implement the key ideas of the paper. This requires being comfortable understanding mathematical concepts and notation, which can be quite hard since research papers are rarely written as if they are trying to be a New York Times popular science book, comprehensible by the general public. I would also argue that developing this skill is more important than the programming familiarity, since this is what makes data scientists…well scientists. You need to build intuition for the models you are implementing, data you are processing, and analyses you are performing, since this intuition will help you to truly do your job well.

Data insights. Using, understanding, and manipulating data is a very different skill from other traditional engineering jobs. I remember once walking into an interview for a data science role some years ago. After a brief introduction, the interviewer literally pulled up a CSV file in Sublime text with just a bunch of numbers in different columns and said “Here are our records for the past month of customers using our product. What would you do with this?” While this may seem like an unorthodox (and admittedly intimidating) interview, these are the types of situations data scientists have to deal with on a daily basis. You will often be presented with unfiltered, incomplete, and sparse datasets and expected to derive meaningful insights from them. This will require you to get comfortable asking a score of different questions about your data including:

How do I fill in missing values?
How do I deal with/remove outliers?
How do I get more even label distributions to train my model?
What kinds of features are most relevant for my model?
How do I detect/deal with model overfitting/underfitting?
What metrics are most useful to assess model performance?

As you can see, being a data scientist oftentimes amounts to being a jack-of-all-trades. You have to know a fair bit, which is why it seems that there is a pretty high barrier to entry. That being said, it is an extremely rewarding job, one where you are the person shedding light on the unknown, a data-whisperer of sorts :)

I’m also very confident that anyone with a disciplined course of study can achieve the skills necessary to become a data scientist, without having to spend years at some top university.

Best Project Management Tools for Agile

noreply@blogger.com (learnprogramingbyluckysir) — Mon, 22 Jul 2019 23:56:00 +0000

In this post you will know the top project management software tools which are used to maintain your project. The best project management solutions for agile projects should have the following capabilities.

1. Tracking progress - capability to visualize progress so it’s easy to see which team members belong to what project or associate urgent tasks to teams. It’s also easy to spot bottlenecks visually. Don’t just rely on Gantt charts for milestones, the software should be flexible to accommodate kanban and other visualization charts.

Solutions with good visualization:

Wrike - visual timelines help you to track performance and clearly see dependencies between tasks

Asana - subtasks, task dependencies and columnar project structures let you connect the dots easily and track project progress

Clarizen - track and upgrade milestones and avoid duplicate activities

Podio - real-time data visualization can surface trends on your project progress

2. Monitoring issues - capability to spot urgent tasks and associate causality relationships among tasks. Gantt charts are good at causality tracking by laying down tasks in order of accomplishment. But it isn’t enough. You should be able to arrange causality in various ways, for instance, available resources, by location, group vs. individual tasks, etc. There should also be clear historical referencing so you can backtrack on a given task pipeline and identify what’s causing the delay.

Solutions with good issue tracking:

Zoho Projects - log issues and keep a close tab on them until they’re resolved

JIRA - connect issues to commits via GitHub

Smartsheet - visual pipeline to track tasks and bottlenecks

Asana - custom tracking fields lets you zero in on specific indicators

3. Collaboration - capability to connect teams, streamline communications and share files in real time. Among others, look for tools like chat, email syncing, activity stream, @mentions and tagging for communication; for sharing, check range of file format compatibility, storage capacity and centralized processes. Access is also key here, so prefer cloud-hosted solutions with mobile apps.

Solutions with good collaboration space:

Wrike - has end-to-end collaboration tools

Bitrix24 - has 34+ collaboration tools

Clarizen - social collaboration

Asana - allows collaboration with third-party guests

Trello - team grouping allows members to work closely together

KanbanFlow - real-time collaboration from any device

You should also check these features for more agility:

Estimates - so you can manage budget, keep to your targets and anticipate overruns

Project portfolio management - so you can shift from one project to another and easily monitor their expenses, bottlenecks, other issues and accomplishments

Resource management - so you can juggle shared resources, budget and talents when running multiple projects all at once

IT Skills in Demand for the Next 5 years

noreply@blogger.com (learnprogramingbyluckysir) — Mon, 22 Jul 2019 17:22:00 +0000

In this post i brought a very interesting topic that is what are the most demanding skills for the next 5 to 10 years in IT industry to survive long time. After a long Research and Analyse i list out some of the most demanding IT sills for the next 5 Years. They are

Computer Science related skills:

· Machine Learning and Artificial Intelligence (AI)

· Data engineering

· Cyber Security

· Cloud computing

· Blockchain

· Internet of Things (IoT)

· Extended Reality (AR and VR)

· Quantum computing

· Python, Web development and Game development.

· Digital Marketing

· Mobile Application Development

· How to write efficient code within deadlines.

Soft Skills:

· Mental elasticity and ability to solve complex problems

· Creativity

· Communication skills, especially verbal.

· Adaptability

· Leadership and Social-media Marketing

Other Skills:

· How to work in pressure.

· Responsibility and ethics.

· Teamwork and also, how to work alone.

· Thinking skills (critical thinking, problem-solving, creativity, originality, strategizing)

· Management skills.

· Persistency.

· Adaptability or flexibility

· Ability to put Ego aside.

· Emotional intelligence.

Top Trending Software Technologies in 2019

noreply@blogger.com (learnprogramingbyluckysir) — Sun, 21 Jul 2019 12:09:00 +0000

In this post you will know Top Trending and Feature Software Technologies. The following are the Top Technologies.

1. Artificial Intelligence :
AI refers to computers systems built to mimic human intelligence and perform tasks such as recognition of images, speech or patterns and decision making. AI can do these tasks faster and more accurately than humans.The number of jobs in AI will number 23 million by 2020.

2. Machine Learning :

Machine Learning is a subset of AI. The Machine Learning market is expected to grow to $8.81 billion by 2022. In 2017, the median salary for a machine learning engineer was $106,225. Machine Learning jobs include engineers, developers, researchers, and data scientists.

3. Blockchain Technology :

In the simplest of terms, it can be described as data you can only add to, not take away from or change. The term “chain” because you’re making a chain of data. Not being able to change the previous blocks is what makes it so secure. Mostly related to cryptocurrency. The average yearly salary of a block-chain developer is about $130,000.

4. Virtual and Augmented Reality

Augmented reality (AR) adds digital elements to a live view often by using the camera on a smartphone. Examples of augmented reality experiences include Snapchat lenses and the game Pokemon Go.

5. Cyber Security:

This is a big one. In 2018, there have been quite a few huge hacks: Quora, Facebook, and Marriott. In the case of the last one, the data of approximately 500 million users were exposed – how bad does it sound?

There is a controversy about the state of the cybersecurity. Some people claim that companies need to have stricter punishments for the breaches or they should implement better security practices. However, as one of the engineers from Silicon Valley says, Google and Facebook have some of the best security teams in the world. So how can the problem of cybersecurity be fixed?

In its report, Wipro names Machine Learning & AI and Security Design & Architecture to be the top two security competencies for the upcoming years. As well, the company emphasized the importance of focusing on the following areas of cybersecurity:

6. Internet of Things :

The number of IoT devices reached 8.4 billion in 2017 is and expected to reach 30 billion devices by 2020.Thus, as number of devices increase, the jobs will also increase.

How do you Use Python to make Website?

noreply@blogger.com (learnprogramingbyluckysir) — Sat, 20 Jul 2019 04:15:00 +0000

In this post you will know how to make websites using python. Python is an easy, flexible and powerful general purpose programming language (which is specially suited for web development), but you should bear in mind that in order to become a web developer you must learn several different skills besides python.

Firstly you need to understand that a website/ web application consists of two major parts.

The front end: Client side.

The back end: Server side.

Front-end / Client side is nothing but what you see as a user on the browser, i.e the webpage, the layout, images and the small widgets like buttons and badges

The first basic skill you must learn is HTML.

HTML is the markup language of the web. All web pages are created with HTML, which defines the different elements contained in a web page.

Then you should learn CSS, which is another little language that defines the way each HTML element looks within a page (its color, the font type, its position on the page, etc).

And the third skill you should master to become a complete web developer is JavaScript.

JavaScript is a scripting language, just as python, but it runs within the browser.

It is a fundamental part of HTML 5 (the newest incarnation of the HTML , which powers all the new applications being written for the web and mobile phones and tablets (iphone, ipad, blackberry, etc...).

HTML + CSS + JAVASCRIPT are different parts of the whole HTML5 platform, and they all work in tandem to create a full web application.

Where does Python fit in?

Although you can create a full web application with just HTML, CSS and javascript, chances are that your application will need to access data stored in a server, most likely a database.

That means that you will have to write code that will be run in a remote server rather than in the browser.

The server side is different than the browser (or client side). In the client side you only have one option: JavaScript.On the other hand, you can use any imaginable language on the server side.

People use php, java, ruby, python, c#, etc...

Python will let you talk to the database or data store, perform queries, retrieve information and format the output to your web page.

Is it possible to forget about JavaScript and write your whole application in python?

Yes, and many web sites work this way. But you would be limiting yourself (and your website usability).

Code written in JavaScript runs in your browser (it doesn't need to communicate with a distant server and wait for the response) hence, its faster, and the user experience is better. That's why the new HTML5 web applications feel more and more like desktop applications.

Applications written entirely in JavaScript that talk directly to the database are known as Ajax applications.

But code written on the server side may give you more security and scalability, so both sides should be mastered to become a competent web developer.

As for web development frameworks:

Again, please first stand on your feet... When you reach the moment where you find yourself needing a framework, you will probably find out that you can get by with a simpler solution rather than Django. Django lets you create the whole structure of your website on the server side.

My advice: Forget about all these things, get a good python tutorial and learn it (and enjoy it!) before looking at all the other technologies you will need.

Learnprograming byluckysir

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