This repository contains essential Python topics and examples to help beginners and learners get started with core Python concepts and libraries. It includes fundamental tools for data visualization, object-oriented programming, data manipulation, and text processing.
Topics Covered Matplotlib — Plotting and visualizing data using various chart types.
Object-Oriented Programming (OOPs) — Classes, objects, encapsulation, inheritance, polymorphism, and more.
Pandas — Powerful data structures (Series and DataFrame) for data analysis and manipulation.
Regular Expressions — Pattern matching and string manipulation using regex.
Repository Structure
Python_Essentials/
│
├── matplotlib.ipynb # Examples and notes on Matplotlib
├── oops.ipynb # Object-Oriented Programming concepts and code
├── pandas.ipynb # Data manipulation with Pandas
├── regular_expression.ipynb # Regex examples and explanations
├── data.csv # Sample dataset for practice
Quick Overview of Each Topic
Create plots like line, bar, scatter, histogram, and pie charts.
Customize charts with titles, labels, and legends.
Learn about classes and objects.
Understand core principles: encapsulation, inheritance, polymorphism, abstraction.
Work with Series and DataFrame for efficient data handling.
Perform filtering, grouping, merging, and cleaning data.
Use regex to find, match, and replace patterns in text.
Practice common regex operations like search(), match(), and sub().
You need Python installed with the following packages:
pip install pandas matplotlib notebook