This repository contains Colab Notebooks covering essential Python topics for data science, including NumPy, Matplotlib, Pandas, and basic Python concepts.
- Introduction to Python basics
- Data types, variables, and operators
- Control structures (loops, conditions)
- Recursion and its applications
- Factorial and Fibonacci series implementations
- String operations and file handling
- Basics of NumPy
- Creating and manipulating arrays
- NumPy functions for mathematical operations
- Introduction to Matplotlib for data visualization
- Line plots, scatter plots, bar charts, and histograms
- Customizing plots and using subplots
- Introduction to Pandas for data manipulation
- Creating and modifying DataFrames
- Data cleaning and analysis techniques
Feel free to fork the repo and submit pull requests to improve the colab notebooks!
This repository is open-source and available under the MIT License.