The Free Online Courses

Learn DeepLearning with PyTorch for FREE!

noreply@blogger.com (Unknown) — Sat, 21 Jun 2025 04:38:00 -0700

https://www.youtube.com/playlist?list=PLN8j_qfCJpNhhY26TQpXC5VeK-_q3YLPa

Think Python Third Edition for FREE

noreply@blogger.com (Unknown) — Sat, 4 Jan 2025 07:37:00 -0800

Download the book: https://allendowney.github.io/ThinkPython/

Deep Learning Interviews Book for FREE

noreply@blogger.com (Unknown) — Sat, 4 Jan 2025 07:19:00 -0800

Deep Learning Interviews is home to hundreds of fully-solved problems, from a wide range of key topics in AI. It is designed to both rehearse interview or exam-specific topics and provide machine learning M.Sc./Ph.D. students, and those awaiting an interview a well-organized overview of the field. The problems it poses are tough enough to cut your teeth on and to dramatically improve your skills-but they’re framed within thoughtprovoking questions and engaging stories. That is what makes the volume so specifically valuable to students and job seekers: it provides them with the ability to speak confidently and quickly on any relevant topic, to answer technical questions clearly and correctly, and to fully understand the purpose and meaning of interview questions and answers. These are powerful, indispensable advantages to have when walking into the interview room. The book’s contents is a large inventory of numerous topics relevant to DL job interviews and graduate-level exams. That places this work at the forefront of the growing trend in science to teach a core set of practical mathematical and computational skills. It is widely accepted that the training of every computer scientist must include the fundamental theorems of ML, and AI appears in the curriculum of nearly every university. This volume is designed as an excellent reference for graduates of such programs.

Download the PDF: https://arxiv.org/pdf/2201.00650

Python for Data Analysis Book for FREE

noreply@blogger.com (Unknown) — Fri, 3 Jan 2025 04:53:00 -0800

"Python for Data Analysis" by Wes McKinney is great book for learning Data wrangling with Pandas, NumPy and Jupyter Notebooks.

Find the book link here: https://wesmckinney.com/book/

Data Analyst Bootcamp for Beginners (SQL, Tableau, Power BI, Python, Excel, Pandas, Projects, more)

noreply@blogger.com (Unknown) — Wed, 31 Jan 2024 08:31:00 -0800

Become a data analyst by following along with this massive course. You will learn the core topics that data analysts need to know. And along the way, you will build plenty of projects to gain hands-on experience.

⭐️ Chapters ⭐️ 00:00:00 Introduction 00:01:10 How to Become a Data Analyst in 2023 (Completely FREE!) 00:15:08 SQL Basics Tutorial | Installing SQL Server Management Studio and Create Tables 00:24:44 SQL Basics Tutorial | Select + From Statements 00:30:57 SQL Basics Tutorial | Where Statement 00:38:54 SQL Basics Tutorial | Group By + Order By Statements 00:47:03 Intermediate SQL Tutorial | Inner/Outer Joins | Use Cases 01:02:55 Intermediate SQL Tutorial | Unions | Union Operator 01:08:19 Intermediate SQL Tutorial | Case Statement | Use Cases 01:15:44 Intermediate SQL Tutorial | Having Clause 01:19:15 Intermediate SQL Tutorial | Updating/Deleting Data 01:23:51 Intermediate SQL Tutorial | Aliasing 01:30:02 Intermediate SQL Tutorial | Partition By 01:34:16 Advanced SQL Tutorial | CTE (Common Table Expression) 01:37:59 Advanced SQL Tutorial | Temp Tables 01:48:18 Advanced SQL Tutorial | String Functions + Use Cases 02:02:06 Advanced SQL Tutorial | Stored Procedures + Use Cases 02:08:20 Advanced SQL Tutorial | Subqueries 02:16:57 Data Analyst Portfolio Project | SQL Data Exploration 03:34:01 Data Analyst Portfolio Project | Data Cleaning in SQL 04:28:41 Pivot Tables in Excel | Excel Tutorial 04:46:15 Formulas in Excel | Excel Tutorial 05:20:07 XLOOKUP in Excel | Excel Tutorial 05:38:52 Conditional Formatting in Excel | Excel Tutorial 05:59:49 Charts in Excel | Excel Tutorial 06:14:58 Cleaning Data in Excel | Excel Tutorial 06:36:02 Full Project in Excel | Excel Tutorial 07:16:49 How to Install Tableau and Create First Visualization | Tableau Tutorial 07:33:53 How to use Calculated Fields and Bins in Tableau | Tableau Tutorial 07:40:17 How to Create Visualizations in Tableau | Tableau Tutorial 07:54:20 How to use Joins in Tableau | Tableau Tutorial 08:08:47 Full Beginner Project in Tableau | Tableau Tutorial 08:53:02 How to Install Power BI | Building First Visualization | Microsoft Power BI 09:05:51 How to use Power Query in Power BI | Microsoft Power BI 09:18:57 How to Create and Manage Relationships in Power BI | Microsoft Power BI 09:27:33 How to use DAX in Power BI | Microsoft Power BI 09:43:16 How to use Drill Down in Power BI | Microsoft Power BI 09:49:18 How to use Conditional Formatting in Power BI | Microsoft Power BI 09:59:10 How to use Bins and Lists in Power BI | Microsoft Power BI 10:08:40 Popular Visualizations in Power BI | Microsoft Power BI 10:22:54 Full Power BI Guided Project | Microsoft Power BI 11:05:31 Installing Jupyter Notebooks/Anaconda | Python 11:15:34 Variables in Python | Python 11:28:51 Data Types in Python | Python 11:50:48 Comparison, Logical, and Membership Operators in Python | Python 11:58:03 If Else Statements in Python | Python 12:04:42 For Loops in Python | Python 12:13:59 While Loops in Python | Python 12:19:39 Functions in Python | Python 12:32:22 Converting Data Types in Python | Python 12:38:57 Building a BMI Calculator with Python | Python Project 12:53:19 Building an Automated File Sorter in File Explorer using Python | Python Project 13:10:10 Inspecting Web Pages with HTML | Web Scraping in Python 13:16:03 BeautifulSoup + Requests | Web Scraping in Python 13:23:01 Find and Find_All | Web Scraping in Python 13:35:11 Scraping Data from a Real Website | Web Scraping in Python 14:00:33 Reading in Files in Pandas | Python Pandas Tutorials 14:19:49 Filtering Columns and Rows in Pandas | Python Pandas Tutorials 14:31:37 Indexes in Pandas | Python Pandas Tutorials 14:42:59 Group By and Aggregate Functions in Pandas | Python Pandas Tutorials 14:54:04 Merging DataFrames in Pandas | Python Pandas Tutorials 15:16:13 Creating Visualizations using Pandas Library | Python Pandas Tutorials 15:33:02 Data Cleaning in Pandas | Python Pandas Tutorials 16:11:39 Exploratory Data Analysis in Pandas | Python Pandas Tutorials 16:43:52 Amazon Web Scraping Using Python | Data Analyst Portfolio Project 17:31:03 Automating Crypto Website API Pull Using Python | Data Analyst Project 18:22:13 How to Create a Portfolio Website 18:57:39 Create the Perfect Data Analyst Resume 19:15:16 Top 3 Tips on Using LinkedIn to Land a Job 19:22:05 Get Your Data Analyst Bootcamp Certification

🔗 Analyst Builder: https://www.analystbuilder.com/ 💻 Access the datasets used here: https://github.com/AlexTheAnalyst

MLOps course for Beginners for FREE

noreply@blogger.com (Unknown) — Sat, 27 Jan 2024 02:01:00 -0800

MLOps Course – Learn to Build Machine Learning Production Grade Projects

MLOps, or Machine Learning Operations, revolutionizes machine learning project development by applying DevOps principles. Learn the ins and outs of MLOps in our new course on the freeCodeCamp.org YouTube channel. This cutting-edge field intersects machine learning, data engineering, and DevOps, providing learners with essential skills to deploy and maintain machine learning models effectively in real-world scenarios.

Key Highlights:

Fundamental Concepts and Tools: Understand the basics of MLOps, its significance, and integration with existing machine learning and software engineering practices. Explore essential tools in the MLOps ecosystem, focusing on Zenml, an innovative tool simplifying the creation and management of MLOps workflows.
Practical Applications and Real-World Projects: Dive into hands-on learning with real-world datasets like the Olist customer dataset. Apply theoretical knowledge to practical problems, such as predicting customer satisfaction.
Comprehensive Skill Development: Gain expertise in critical MLOps areas, including environment setup, designing workflows, data cleaning, and model preparation. Cover the entire machine learning model lifecycle, from development and evaluation to deployment and monitoring in production.
Advanced Techniques and Best Practices: Explore advanced topics like experiment tracking and model evaluation. Emphasize best practices in model development and deployment, preparing learners for real-world machine learning challenges.
Interactive Learning Experience: Create a Streamlit application to build user-friendly interfaces for machine learning models. Enhance your learning experience and discover how to make ML models accessible to a wider audience.

This MLOps course on freeCodeCamp.org's YouTube channel is a valuable resource for anyone venturing into the world of machine learning operations. Watch the full 3-hour course to elevate your MLOps skills.

Python Quiz 13

noreply@blogger.com (Unknown) — Thu, 21 Sep 2023 04:33:00 -0700

Power BI End to End Project with Source Code

noreply@blogger.com (Unknown) — Thu, 14 Sep 2023 19:14:00 -0700

Power BI End to End Project with Source Code

Prompt Engineering for Everyone Course for FREE by IBM

noreply@blogger.com (Unknown) — Thu, 14 Sep 2023 10:02:00 -0700

Free Certification Course in Prompt Engineering by IBM

Course Syllabus

Module 1: Introduction to Prompt Engineering

Lab 1: What is Prompt Engineering, and why do we care?
Lab 2: English as a new programming language
Quizzes

Module 2: Getting Started with Prompt Engineering

Lab 3: Getting to know our GPT-based AI tool
Lab 4: The Naive Prompting Approach and the Persona Pattern
Lab 5: The Interview Pattern
Quizzes

Module 3: The Chain-of-Thought Approach

Lab 6: The Chain-of-Thought Approach in Prompt Engineering
Quizzes

Module 4: Advanced Techniques

Lab 7: The Tree-of-Thought Approach in Prompt Engineering
Lab 8: Controlling Verbosity and the Nova System
Lab 9: Getting to know WatsonX Prompt Lab
Quizzes

Module 5: Final Project

Course Summary
Final Project (optional)

Enroll for FREE here: https://cognitiveclass.ai/courses/prompt-engineering-for-everyone

Harvard CS50's Introduction to Artificial Intelligence with Python – Free University Course

noreply@blogger.com (Unknown) — Wed, 13 Sep 2023 06:32:00 -0700

Introducing CS50's Introduction to Artificial Intelligence with Python

Artificial intelligence (AI) is rapidly transforming the world around us. From self-driving cars to personalized recommendations, AI is becoming an essential part of our lives.

If you're interested in learning more about AI, then you're in luck! CS50's Introduction to Artificial Intelligence with Python is a groundbreaking course that demystifies the concepts and algorithms shaping modern AI.

This course is taught by Brian Yu, a software developer and instructor at Harvard University. Brian has a passion for teaching and a knack for making complex topics easy to understand.

In this course, you'll explore the concepts and algorithms at the foundation of modern AI, diving into the ideas that give rise to technologies like game-playing engines, handwriting recognition, and machine translation.

You'll also gain exposure to the theory behind graph search algorithms, classification, optimization, reinforcement learning, and other topics in artificial intelligence and machine learning.

This course has been updated for 2023 to include an in-depth section on large language models. Large language models are a type of artificial intelligence that can generate text, translate languages, and answer your questions in an informative way.

If you're new to AI or just want a refresher on the core concepts, then CS50's Introduction to Artificial Intelligence with Python is the perfect place to start.

The course is available for free on the freeCodeCamp.org YouTube channel. So what are you waiting for? Enroll today and start your journey into the world of AI!

Here are some of the benefits of taking this course:

Learn the fundamentals of artificial intelligence and machine learning
Gain hands-on experience with Python, one of the most popular programming languages for AI
Build your own AI projects
Prepare for a career in AI

If you're interested in learning more about AI, then I encourage you to check out CS50's Introduction to Artificial Intelligence with Python. It's a great way to get started in this exciting field.

Python for beginners by Microsoft for FREE

noreply@blogger.com (Unknown) — Tue, 12 Sep 2023 19:50:00 -0700

Get started with Python! Learn how to create programs and projects in Python. Work with strings, lists, loops, dictionaries, and functions.

In this learning path, you'll:

Write your first program in Python
Explore packages to better manage projects
Learn Python basics, including the following elements:
- Boolean types
- Strings
- Mathematical operations
- Lists and loops
- Dictionaries
- Functions
- Error checking
Get familiar with Jupyter notebooks

Check out the course for FREE from here: Python for beginners - Training | Microsoft Learn

Free Python Course by Microsoft 2023

Check out the course for FREE from here: Python for beginners - Training | Microsoft Learn

Introduction to Computer Science and Programming Using Python

noreply@blogger.com (Unknown) — Mon, 11 Sep 2023 20:46:00 -0700

Introduction to Computer Science and Programming Using Python by MIT for FREE

This course covers:

A Notion of computation
The Python programming language
Some simple algorithms
Testing and debugging
An informal introduction to algorithmic complexity
Data structures

Enroll for Free here

Free Prompt Engineering Tutorial – Master ChatGPT and LLM Responses

noreply@blogger.com (Unknown) — Sun, 10 Sep 2023 21:55:00 -0700

Learn prompt engineering techniques to get better results from ChatGPT and other LLMs.

✏️ Course developed by @AniaKubow ⭐️ Contents ⭐️ ⌨️ (00:00) Introduction ⌨️ (01:31) What is Prompt Engineering? ⌨️ (02:17) Introduction to AI ⌨️ (03:52) Why is Machine learning useful? ⌨️ (06:36) Linguistics ⌨️ (08:04) Language Models ⌨️ (14:35) Prompt Engineering Mindset ⌨️ (15:38) Using GPT-4 ⌨️ (20:41) Best practices ⌨️ (31:20) Zero shot and few shot prompts ⌨️ (35:06) AI hallucinations ⌨️ (36:43) Vectors/text embeddings ⌨️ (40:28) Recap

Download Statistics and Machine Learning in Python Book for FREE

noreply@blogger.com (Unknown) — Sun, 10 Sep 2023 00:09:00 -0700

Download Statistics and Machine Learning in Python Book for FREE

Introduction

Python ecosystem for data-science

Introduction to Machine Learning

Data analysis methodology

Python language

Import libraries

Basic operations

Data types

Execution control statements

List comprehensions, iterators, etc.

Functions

Regular expression

System programming

Scripts and argument parsing

Networking

Modules and packages

Object Oriented Programming (OOP)

Style guide for Python programming

Documenting

Exercises

Scientific Python

Numpy: arrays and matrices

Pandas: data manipulation

Data visualization: matplotlib & seaborn

Statistics

Univariate statistics

Lab: Brain volumes study

Linear Mixed Models

Multivariate statistics

Time series in python

Machine Learning

Linear dimension reduction and feature extraction

Manifold learning: non-linear dimension reduction

Clustering

Linear models for regression problems

10 PowerBI Projects with Source Code

noreply@blogger.com (Unknown) — Tue, 7 Feb 2023 19:38:00 -0800

10 PowerBI Projects with source code, which you can add to your resume.

1. Sales Dashboard

https://youtu.be/mXD0Peot4hY

2. Health Care Dashboard

https://youtu.be/Ni_aMKO05kc

3. HR Analytics Dashboard 

https://youtu.be/vkUXAKqbEjY

4. Email Marketing Analysis

https://youtu.be/ayYMzlkkHZw

5. Zomato Case Study
https://youtu.be/jVs9cT1tm9Y

6. Power BI Projects for the Banking Domain
https://youtu.be/aXNhtcQ4nEU

7. 𝗧𝘄𝗶𝘁𝘁𝗲𝗿 𝗔𝗻𝗮𝗹𝘆𝘀𝗶𝘀 𝗗𝗮𝘀𝗵𝗯𝗼𝗮𝗿𝗱
https://lnkd.in/gMwGZj-D

8. 𝑶𝑻𝑻 𝑴𝒆𝒅𝒊𝒂 𝑫𝒂𝒔𝒉𝒃𝒐𝒂𝒓𝒅
https://lnkd.in/gE_kvDe8

9. 𝗔𝗱𝘃𝗲𝗻𝘁𝘂𝗿𝗲𝗪𝗼𝗿𝗸𝘀 𝗗𝗮𝘁𝗮𝗯𝗮𝘀𝗲 𝗔𝗻𝗮𝗹𝘆𝘀𝗶𝘀
https://lnkd.in/gJedZA4Y

10. Power BI Complete RealTime Projects
https://lnkd.in/gVMiaYcf

50+ Python Projects with source code

noreply@blogger.com (Unknown) — Fri, 3 Feb 2023 06:03:00 -0800

In this article, we’ll be showcasing 50+ Python projects with source code. These projects are designed to help you improve your coding skills, gain hands-on experience, and develop practical knowledge in different areas. Some of these projects are simple, while others are more complex, but all are suitable for anyone looking to learn Python programming.

Python Projects with source code (Click the links below)

Rock Paper Scissor Game in python
QR code generator
Snake Game using Python
Weight Converter GUI | Python
Text to speech using Python
Scientific Calculator GUI
Random Password Generator
Track Phone Numbers with a Map Using Python
Create Bank Management Project with Python
Language Translator using Python
CARD GAME | PYTHON
merry christmas using python turtle
Get Wifi Password Using Python
ROCK PAPER SCISSORS | PYTHON
Calendar GUI using python
Egg-Catcher using Python
URL Shortener using Python
Newspaper Articles Text to Speech
Face Detector Using Python
How to Create a Random Password Generator in Python
SIMPLE WORD EDITOR | PYTHON
Voice Recorder Using Python
Alarm Clock Using Python
Bounce Ball Game | Python
JSON to CSV converter | Python
Remove Duplicate Files | Python
DIGITAL CLOCK | PYTHON
Download Online articles as PDFs | Python
Email Validation Using Python
YouTube video downloader | Python
ANALOG CLOCK | PYTHON
Make GIFs from videos using Python
Extract Audio From Video Using Python | convert video to audio
Track Phone Number Using Python
Countdown timer | Python project
Battery alert! | Python
Key Logger using Python
Image to Cartoon using python
Whatsapp automated bot using python
Convert any eBook into Audiobook: 12 lines of Python
Student Management System using python
Make a Clock using Python: Python Project.
gingerit python — Grammer correction using python
Create Cab Booking System: Python Project
Bank Management System in Python using Tkinter
Make Fidget Spinner using Python
notepad app using python — python project
Space Shooter Game Using Python — python project
Create Flappy Bird Game using Python- Project
Make Personal Assistant using Python, Like Jarvis
python code for the snake game
Dino chrome game Python : source code
Make Super Mario Game using Python.
Flappy Bird game Using Python soure code
These are 54 python projects with source code which you should definitely try and level up your python learning skills

Original article: https://medium.com/@inprogrammer/50-python-projects-with-source-code-336bd54fea11

Power BI End to End projects for FREE with source code

noreply@blogger.com (Unknown) — Wed, 25 Jan 2023 03:29:00 -0800

End to End Power BI Projects with Source code for FREE. Practise 4 End-End Power BI projects and add them to your resume.

1. 𝗧𝘄𝗶𝘁𝘁𝗲𝗿 𝗔𝗻𝗮𝗹𝘆𝘀𝗶𝘀 𝗗𝗮𝘀𝗵𝗯𝗼𝗮𝗿𝗱
https://github.com/MohamedHmini/tweetsOLAPing

2. 𝑶𝑻𝑻 𝑴𝒆𝒅𝒊𝒂 𝑫𝒂𝒔𝒉𝒃𝒐𝒂𝒓𝒅
https://github.com/undiscovered-genius/Netflix-Prime-Hotstar-Dashboard-Power-BI/tree/main/dataset

3. 𝗔𝗱𝘃𝗲𝗻𝘁𝘂𝗿𝗲𝗪𝗼𝗿𝗸𝘀 𝗗𝗮𝘁𝗮𝗯𝗮𝘀𝗲 𝗔𝗻𝗮𝗹𝘆𝘀𝗶𝘀
AhmadSabbirChowdhury/Microsoft-AdventureWorks-Database-Analysis-Visualization-with-PowerBI: I chose 'AdventureWorksLT2019.bak' and 'AdventureWorksLT2017.bak' data for analysis & visualization. The query editing was done in 'Microsoft SQL Server Management Studio' and the visualization part was using 'Microsoft Power BI'. Also for analysis, I used MS Excel and PowerBI's query tool. (github.com)

4. Power BI Complete RealTime Projects
https://www.youtube.com/watch?v=xTmlPGOZfOk&list=PLBGVH95YWOV0U2_qvcQ1uBkCZwsZtLUkz

Learn Everything for Free in 2023

noreply@blogger.com (Unknown) — Sat, 21 Jan 2023 07:28:00 -0800

There are two ways to learn anything in 2023.

One Pay $1000s for programming Bootcamp or follow these sites to learn everything for FREE

1. Python

http://pythontutorial.net

2. JavaScript

http://learnjavascript.online

3. SQL

http://sqlbolt.com

4. Git

http://atlassian.com/git/tutorials

5. DevOps

http://edx.org/learn/devops

6. HTML

http://w3schools.com

7. CSS

http://css-tricks.com

8. React

http://react-tutorial.app

9. Angular

http://scrimba.com/learn/yourfirstangularapp…

10. Vue →

http://vueschool.io

11. Tailwind

http://scrimba.com/playlist/pdq3QsM…

12. Algorithms

http://khanacademy.org/computing/computer-science/algorithms…

13. DSA Visuals

http://visualgo.net

14. Cyber Security

http://classcentral.com/subject/cybersecurity…

15. AWS

http://aws.amazon.com/training

16. GCP

http://coursera.org/learn/gcp-fundamentals

Top 5 websites to build resumes

noreply@blogger.com (Unknown) — Thu, 12 Jan 2023 06:01:00 -0800

Building a resume can be a daunting task, but by following a few key steps, you can create a resume that effectively showcases your skills, experiences, and qualifications.

Here are a few tips on how to build a resume:

Tailor your resume to the job: Before you begin, research the job you're applying for and tailor your resume to fit the qualifications and responsibilities listed in the job description.
Use a clear and professional format: Use a clean and easy-to-read font, and make sure your resume is well-organized with clear headings and bullet points. Use a template if you are not sure about the format.
Highlight your most relevant experiences: Focus on your most recent and relevant experiences and skills, and be sure to include any accomplishments or quantifiable results you've achieved.
Use action verbs: Use action verbs such as "managed," "designed," or "created" to describe your experiences and responsibilities, and avoid using passive phrases such as "was responsible for."
Include keywords: Research the most common keywords used in the job listing, and include them in your resume, this will help your resume to be found by the applicant tracking system (ATS)
Proofread and edit: Carefully proofread and edit your resume for spelling and grammatical errors, and have someone else review it as well.
Tailor your resume to the company: If you know more about the company, highlight how you align with the company's values, mission, and culture.
Keep it concise: A resume should be one or two pages maximum, avoid including unnecessary information or repeating the same information multiple times.

By following these tips, you can create a resume that effectively showcases your qualifications and experiences and increase your chances of landing an interview.

Here are the Top website to build your resume

→ Wozber

→ FlowCV

→ ResumeBuild

→ Resumonk

→ Kick Resume

Please let me know what you think about it.

Python GUI app for Calendar

noreply@blogger.com (Unknown) — Mon, 9 Jan 2023 09:14:00 -0800

To create a Python GUI app for a calendar, you can use a library like PyQt5, which has a built-in calendar widget. Here is an example of how you could use it:

This will create a simple calendar GUI app with a calendar widget that you can navigate by clicking on the arrow buttons or by using the dropdown menus to select a specific month and year. You can customize the appearance of the calendar widget by setting various properties, such as the grid size, the first day of the week, and the selection mode. You can also use the clicked signal to connect the calendar widget to a custom handler function that can perform some action when a date is selected.

Remote jobs for Data Analysts and Data Scientists

noreply@blogger.com (Unknown) — Thu, 5 Jan 2023 04:49:00 -0800

Find your next Remote Data Science Job 👇

1. Junior Data Analyst at Launch Gift Cards

https://t.co/C7Fhwvr7Jz

2. Data Analyst at NHIT :

https://t.co/XTVQltlzZV

3. Data Analyst & Engineer at Scantrust

https://t.co/ThHIyfC8ri

4. Data Scientist at BlueUrbn

https://t.co/1gl7QldhXV

5. Machine Learning Engineer at Weights & Biases

https://t.co/o2ypriYZZH

Double Linked List Program in C

noreply@blogger.com (Unknown) — Sat, 17 Dec 2022 20:02:00 -0800

 /*  
      dlinkedlist.c: This programs is implementation of doubly linked list.   
      @uthor: itsafiz@gmail.com   
      Date: 11Oct2010.   
 */  
 #include<stdio.h>   
 typedef struct   
      {  
           int data;   
           struct dnode *next;   
           struct dnode *prev;   
      }dnode;  
 typedef dnode *list;   
 list head, tail;   
 main()  
 {  
      list temp,paste;   
      head=NULL;   
      int ch, n;   
      while(1)  
      {  
      printf("\t##Double Linked list ##\n\t1.Add element\n\t2.Display\n\t3.Delete\n\t4.Exit\n");  
      scanf("%d",&ch);  
      switch(ch)  
           {  
           case 1:   
           temp=(list)malloc(sizeof(dnode));  
           printf("Enter Data = ");  
           scanf("%d",&n);  
           temp->data=n;  
           if(head==NULL)  
           {  
           temp->prev=NULL;   
           head=temp;   
           }  
           else  
           {  
           temp->prev=tail;  
           tail->next=temp;  
           }  
           temp->next=NULL;  
           tail=temp;   
           break;   
           case 2:   
                paste=head;  
                for(;paste!=NULL;paste=paste->next)  
                     {  
                          printf("%d\t",paste->data);  
                     }  
                printf("\n");  
           break;   
           case 3: break;   
           case 4: exit(1);   
           }  
      }  
 }

STRUCTURES EXAMPLE PROGRAM IN C

noreply@blogger.com (Unknown) — Sat, 17 Dec 2022 20:02:00 -0800

 /*  
 */  
 #include<stdio.h>  
 struct student  
 {  
      char name[20];  
      char id[10];  
      char class[5];   
      float marks;   
 };   
 main( )  
 {  
   struct student std[10];   
   int i;   
   for(i=0;i<10;i++)  
        {  
             scanf("%s%s%s",std[i].name,std[i].id,std[i].class);  
             scanf("%f",&std[i].marks);  
        }  
  printf("Name\tId\tclass\tmarks\n");  
   for(i=0;i<10;i++)  
        {  
             printf("%s\t%s\t%s",std[i].name,std[i].id,std[i].class);  
             printf("\t%0.2f\n",std[i].marks);  
        }  
   printf("Students Details of More than 5 Marks:\n");  
   printf("Name\tId\tclass\tmarks\n");  
   for(i=0;i<10;i++)  
        {  
             if(std[i].marks>=5){  
             printf("%s\t%s\t%s",std[i].name,std[i].id,std[i].class);  
             printf("\t%0.2f\n",std[i].marks);}  
        }  
 }

POINTER STRUCTURES EXAMPLE PROGRAM IN C

noreply@blogger.com (Unknown) — Sat, 17 Dec 2022 20:02:00 -0800

 #include <stdio.h>  
 #include <stdlib.h>   
 #include <memory.h>  
 struct mystruct {  
      int a;  
 };  
 typedef struct mystruct * pmystruct;  
 pmystruct getpstruct()  
 {  
      pmystruct temp=(pmystruct)malloc(sizeof(pmystruct*));  
      return temp;  
 }  
 int main(int argc, char* argv[])  
 {    
      int * fred;  
      pmystruct b= getpstruct();  
      b->a = 8;  
      ++b->a;  
      printf ("The value of b->a is %i \n",b->a);  
      free(b);  
      fred = (int *) malloc(sizeof(int));  
      memset(fred,0x100,sizeof(int));  
      printf("Value of *fred = %i\n",*fred);  
      free(fred);  
      return 0;  
 }

STRUCTURE IN STRUCTURE EXAMPLE PROGRAM IN C

noreply@blogger.com (Unknown) — Sat, 17 Dec 2022 20:01:00 -0800

 #include<stdio.h>  
 struct date  
 {  
      int year;   
      int month;  
      int day;  
 };  
 struct student   
 {  
      char name[20];  
      struct date dob;   
 };  
 main()  
 {  
      struct student s1;   
      printf("Enter student Name\n");  
      scanf("%s",s1.name);  
      printf("Enter Date of Birth\n");  
      scanf("%d%d%d",&(s1.dob.year),&(s1.dob.month),&(s1.dob.day));  
      printf("%s\n%d-%d-%d\n",s1.name,s1.dob.day,s1.dob.month,s1.dob.year);       
 }