Python for Everybody

This repository contains the projects and assignments developed during the Python for Everybody Specialization available on Coursera. It is a great resource for anyone starting with Python, offering hands-on exercises in areas like data structures, databases, web data access, and data visualization.

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Table of Contents

1. About the Specialization
2. Projects, Assignments and Exercises
   • Course 01: Getting Started with Python
   • Course 02: Python Data Structures
   • Course 03: Using Python to Access Web Data
   • Course 04: Using Databases with Python
   • Course 05: Capstone
3. Certificate

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About the Specialization:

This specialization consists of five courses, covering essential Python topics:

1. Programming for Everybody - Getting Started w/ Python
   • Introduction to Python programming, including variables, expressions, functions, loops, and conditionals.
2. Python Data Structures
   • Covers fundamental data structures like strings, lists, dictionaries, and tuples.
3. Using Python to Access Web Data
   • Learn how to scrape and work with web data using Python libraries like requests and BeautifulSoup.
4. Using Databases with Python
   • Introduction to SQL and using Python to interact with relational databases.
5. Capstone: Retrieving, Processing, and Visualizing Data with Python
   • The final project where you build a search engine that retrieves, processes, and visualizes data.

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Projects, Assignments and Exercises:

Course 01 - Getting Started with Python

• Topics Covered:

  • Introduction to programming and Python basics like variables, expressions, and functions.
  • Understanding loops and conditionals.

• Projects and Exercises:

  • Implementing basic Python scripts using functions and loops to solve small tasks.

Course 02 - Python Data Structures

• Topics Covered:

  • Handling strings, files, lists, dictionaries, and tuples in Python.

• Projects and Exercises:

  • Working with various data structures to manipulate and store information efficiently.

Course 03 - Using Python to Access Web Data

• Topics Covered:

  • Using requests, BeautifulSoup, and regular expressions to extract data from websites.
  • Accessing web services and handling JSON and XML data.

• Projects and Exercises:

  • Scraping and processing data from websites and APIs.

Course 04 - Using Databases with Python

• Topics Covered:

  • Introduction to databases, SQL, and using Python to interact with databases.

• Projects and Exercises:

  • Implementing Python scripts to query databases and work with relational data.

Course 05 - Capstone: Retrieving, Processing, and Visualizing Data with Python

• Capstone Project:
  • Build a search engine that retrieves, processes, and visualizes data using the skills acquired throughout the specialization.

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Certificate

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How to Contribute

Feel free to fork this repository, make changes, and submit pull requests. If you find any errors or want to improve the content, contributions are always welcome!

1. Fork the repository.
2. Create a new branch (git checkout -b feature-name).
3. Commit your changes (git commit -am 'Add new feature').
4. Push to the branch (git push origin feature-name).
5. Create a new Pull Request.