/python_basics

Primary LanguageJupyter Notebook

Python Basics with Data Types, NumPy, Pandas, Regular Expressions, and Functions 🐍🚀

Welcome to the world of Python! This repository will guide you through the basics of Python programming, including an introduction to data types, NumPy, Pandas, regular expressions, and functions. Let's dive in and explore the wonders of Python together! 🌟

Table of Contents 📚

  • Introduction 🌟
  • Data Types 📋
  • NumPy 🔢
  • Pandas 🐼
  • Regular Expressions 🔍
  • Functions 📜
  • Contributing 🚀
  • License 📝

Introduction 🌟

Python is a charming and user-friendly programming language known for its simplicity and versatility. Whether you're new to coding or an experienced developer, Python has something magical to offer. Let's start our Python adventure with the essential concepts!

Data Types 📋

In Python, data types define the type of data a variable can hold. We'll explore some common data types such as numbers, strings, lists, tuples, dictionaries, and more. Learning about data types will give you the power to manipulate different kinds of data in Python.

NumPy 🔢

NumPy is a powerful library for numerical computing in Python. It provides support for arrays and matrices, along with a vast collection of mathematical functions to perform complex operations efficiently.

Pandas 🐼

Pandas is an enchanting library for data manipulation and analysis. It offers data structures like DataFrames and Series, making it easier to work with structured data and perform data exploration tasks with elegance.

Regular Expressions 🔍

Regular expressions (regex) are powerful tools to search, match, and manipulate text patterns. With regex, you can perform advanced text processing and pattern matching, adding a touch of magic to your Python code!

Functions 📜

Functions in Python are like magic spells that allow us to break our code into reusable blocks. We'll learn how to create functions, pass arguments, and return values. Functions will help you create organized and efficient code!

Contributing 🚀

You are warmly invited to contribute to this repository by adding your own enchanting Python code, fixing bugs, or improving existing examples. Let's collaborate and make this Python journey even more magical! ✨

License 📝

This repository is licensed under the MIT License, which means you have the freedom to use, modify, and share the code. Python is all about spreading the magic and sharing knowledge!

Now that you have the spellbook of Python basics with NumPy and Pandas, it's time to unleash your creativity and cast some Python spells! Happy coding! 🎩🔮