https://github.com/pankaj-str/complete-python-mastery
Explore the world of Python programming with 'Complete Python Mastery'! Our repository, led by Pankaj, offers a series of in-depth tutorials under the banner 'Codes with Pankaj.' Dive into hands-on coding examples, insightful explanations, and practical projects as Pankaj guides you through mastering Python.
https://github.com/pankaj-str/complete-python-mastery
pandas programming-language python pythontutorial
Last synced: about 1 month ago
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Explore the world of Python programming with 'Complete Python Mastery'! Our repository, led by Pankaj, offers a series of in-depth tutorials under the banner 'Codes with Pankaj.' Dive into hands-on coding examples, insightful explanations, and practical projects as Pankaj guides you through mastering Python.
- Host: GitHub
- URL: https://github.com/pankaj-str/complete-python-mastery
- Owner: Pankaj-Str
- Created: 2023-07-18T14:45:10.000Z (almost 2 years ago)
- Default Branch: main
- Last Pushed: 2025-04-10T03:06:36.000Z (about 1 month ago)
- Last Synced: 2025-04-12T00:53:16.754Z (about 1 month ago)
- Topics: pandas, programming-language, python, pythontutorial
- Language: Jupyter Notebook
- Homepage: https://www.codeswithpankaj.com/
- Size: 61.1 MB
- Stars: 40
- Watchers: 7
- Forks: 34
- Open Issues: 6
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Metadata Files:
- Readme: README.md
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README
# Learn Python Programming - Codes with Pankaj
# About Us
## Complete Python Mastery
Welcome to the **Complete Python Mastery** repository! This repository is your ultimate destination for mastering Python, whether you're a beginner just starting out or an experienced developer looking to refine your skills.
### Repository Overview
Our repository is structured to provide a comprehensive, step-by-step learning path through Python's vast landscape. We cover everything from the basics to advanced topics, ensuring a thorough understanding of the language and its applications.
### Repository Structure
- **Day 01: Introduction**: Kickstart your Python journey with an introduction to the language and its core concepts.
- **Day 02: Primitive Data Types**: Learn about Python's primitive data types and how to use them effectively.
- **Day 03: Type Conversion**: Understand the nuances of converting between different data types in Python.
- **Day 04: Assignments**: Practical assignments to reinforce your understanding of the topics covered.
- **Day 05: Operators**: Dive into Python's operators and learn how to perform various operations.
- **Day 06: If Else Statements**: Master conditional statements to control the flow of your programs.
- **Day 07: Looping Constructs**: Explore different looping mechanisms to iterate over data.
- **Day 08: Functions**: Learn to write reusable code with functions.
- **Day 09: Lists and Tuples**: Get to grips with Python's powerful list and tuple data structures.
- **Day 10: Sets and Dictionaries**: Understand sets and dictionaries and how to use them in your programs.
- **Day 11: Strings**: Manipulate and work with strings in Python.
- **Day 12: File and Directory Operations**: Handle files and directories, perform read/write operations.
- **Day 13: Classes and Objects**: Introduction to object-oriented programming in Python.
- **Day 14: Inheritance and Polymorphism**: Learn about inheritance and polymorphism to create versatile code.
- **Day 15: Python Exception Handling**: Write robust programs with effective exception handling.
- **Day 16: Python Modules and Packages**: Organize your code using modules and packages.
- **Day 17: Python Multithreading**: Explore multithreading to write efficient, concurrent programs.
- **Day 18: Working with MySQL**: Integrate Python with MySQL for database operations.
- **Day 19: NumPy and Pandas**: Harness the power of NumPy and Pandas for data analysis.
- **Day 20: Visualization with Matplotlib**: Create stunning visualizations using Matplotlib.
- **Day 21: Scientific Computing with SciPy**: Perform scientific computations with SciPy.
- **Day 22: Regular Expressions**: Master regular expressions for pattern matching and text processing.
- **Day 23: Advanced Topics and Case Studies**: Apply your knowledge in advanced topics and real-world case studies.### Why Complete Python Mastery?
- **Comprehensive Coverage**: We cover all aspects of Python, ensuring no stone is left unturned.
- **Hands-on Assignments**: Practical assignments and exercises to solidify your understanding.
- **Real-world Applications**: Learn how to apply Python in various real-world scenarios.
- **Continual Updates**: Our repository is frequently updated with new content and improvements.### Get Started
Start your Python journey today by exploring the repository and following along with our structured lessons. Whether you're aiming to become a data scientist, software developer, or just want to learn a new skill, Complete Python Mastery has you covered.
### Contact Us
For any questions, suggestions, or feedback, feel free to reach out to us. Happy coding!