Python Notes for Beginners and Data Science Learners

A comprehensive and beginner-friendly collection of Python programming notes, examples, and tips — ideal for students, educators, and data science enthusiasts.

Welcome to the A-Z Guide to Python in Data Science repository! This comprehensive supplement offers an exhaustive exploration of Python in the context of Data Science, covering topics from basic to advanced levels of proficiency.

📚 Table of Contents

• Overview
• Features
• Contents
• Getting Started
• Contributing
• Contact
• Getting Started-Course 01
• Useful Python Resources

Overview: Python Notes for Beginners

These notes cover the most essential topics in Python programming, designed for absolute beginners, students in computer science, and professionals learning data science.

Features👋🛒

1- Comprehensive Coverage: Delve into the vast landscape of Python in Data Science, encompassing fundamental concepts, libraries, tools, and advanced techniques essential for data analysis, visualization, machine learning, and more.

2-Progressive Learning Path: Follow a structured learning path that starts with foundational Python concepts and gradually progresses to advanced topics, ensuring a smooth and comprehensive learning experience.

3- Practical Implementations: Gain practical insights through hands-on implementation examples, exercises, and projects that reinforce theoretical knowledge and foster a deeper understanding of Python's role in Data Science.

4- Supplementary Resources: Access additional resources, including articles, tutorials, datasets, and recommended readings, to supplement your learning journey and stay updated with the latest developments in Python and Data Science.

Contents👋🛒

1- Foundations: Explore basic Python syntax, data types, control structures, functions, and object-oriented programming principles.

2-Data Manipulation and Analysis: Learn how to work with data using popular Python libraries such as NumPy, pandas, and matplotlib for tasks like data cleaning, transformation, aggregation, and visualization.

3- Machine Learning with Python: Dive into the world of machine learning using libraries like scikit-learn and TensorFlow/Keras, covering topics such as regression, classification, clustering, and neural networks.

Getting Started

To follow these notes interactively:

1. Install Python 3.x from python.org
2. Use Jupyter Notebook Colab or VS Code to open and run .ipynb or .py files.
3. Clone the repository:

   git clone https://github.com/dr-mushtaq/Python-Notes.git
   
   

Contributing🙌

Contributions are welcome! Whether it's fixing a bug, enhancing existing content, or adding new material, your contributions can help improve the learning experience for others. Please contact me on skype:themushtaq48, email:[email protected] for guidelines on how to contribute.

Also please subscribe to my Youtube channel

Contact

If you want to contact me, you can reach me through following social handles.

🙏 Special thanks 🙏 to our Virtual University of Pakistan students (Mr Saad Abbasi), reviewers, and content contributors, notably Dr Said Nabi

                              Star this repo if you find it useful ⭐
                              Also please subscribe to my [Youtube channel](https://www.youtube.com/@coursesteach-mv5si)

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📕Getting Started-Course 01 - 🐍Python

##📚 Python Basics

Tutorial	Video▶️	Code	Note	Extra Reading
✅1- Setup Environment for Python	1	Content 3
1- What is mean by programming⭐️	1-2	Content 3	Link
🌐2- What is Python⭐️	1-2	Content 6
3- Python integrated development environment (IDE)⭐️	---	---	Link	1
🌐4- Best Free Resources to Learn Python⭐️	---	---
🌐5- Understanding Variables and Types in Python⭐️	Content 2
🌐6-Understanding Operators in Python: A Comprehensive Guide⭐️	1
🌐7-Understanding string in Python⭐️	Content 2
🌐8- Understanding Control Flow in Python⭐️	Content 2
🌐9- Loops and Iterables⭐️	1-2
🌐10-Function⭐️	1-2
🌐11- Dictionaries	Content 2
🌐12- List	Content 2
🌐13-Classes and Objects	Content 2
🌐14-Modules	1
🌐15-Packages	1
🌐16-File handling	--

📕 Course 02 - 🛠️Machine Learning Libraries

📚Chapter: 1 - NumPy

Tutorial	Video	Code
✅1- Exploring the Power of Machine Learning Libraries in Python-G	1
✅2- NumPy-Create Array	1
✅3- NumPy-Arithmetic Operation	--
✅4- NumPy-Basics operations	1
✅5- NumPy for Statistical Analysis-s	1-2-3-4
✅5- NumPy for Linear Algebra-S	--
✅6- NumPy for Data Cleaning⭐-S	--

📚Chapter: 2 - Pandas

Tutorial	Video	Code
✅1- Introduction of Pandas-s	1-2
✅2-Pandas Data Structures⭐️	1-2
✅3-Data Preparation using pandas	1-2
✅4-Data Visualization with Pandas⭐️	1
✅5-Data Visualization with Pandas⭐️	--

📚Chapter: 3 - Exploratory Data Analysis(EDA)

Tutorial	Video	Code
✅1-Skimpy	1
✅2-Sweetviz	1
✅3-Cufflinks	---
✅5-Pandas Profiling	---
*✅6-Chartify	---
✅7-pygwalker	1
✅8-Vizard	---
*✅9-Matplotlib	---
✅10-seaborn	1
🌐11-plotly.express	---
🌐12-ydata-profiling	---
🌐13-Vega-Altair	---
🌐14-PyVista	---
🌐15-Wordcloud	-1
🌐16-hvPlot	-1

📚Chapter: 5 - Explainable AI (XAI) techniques

Tutorial	Video	Code	Resources
🌐1-ExplainerDashboard	1
🌐2-SHAP	1		1
🌐3-InterpretML	1
🌐4-Dalex	1
🌐5-LINE	1
🌐6-eli5 library	1

📚Chapter: 6 - Auto Machine Learning

Tutorial	Video	Code	Status
✅1-Pycaret Introduction	1
✅2-Classification	1-2
✅3-Regression	1-2
✅4- Clustering	1
✅5- Anomaly Detection	1
✅6-Time Series Forecasting	1
✅7-Automated Feature Engineering in PyCaret	1
7-Auto-Sklearn2	---		blog need to developed

📚Chapter: 7 - Building Interactive Web Applications with Streamlit

This Chapter introduces students to Streamlit, a powerful open-source app framework designed to create beautiful, interactive, and data-driven web applications in Python with minimal effort. By the end of the course, students will be able to build, deploy, and share fully functional Streamlit apps for use in data science, analytics, and machine learning projects.

Tutorial	Video	Code	Notes	Extra Reading
✅1-Introduction	1
✅2-Streamlit vs Flask/Django for ML apps	1
✅3-Streamlit Basic Functions	1
✅4-Displaying Media filesPage	1
✅5-Input Widgets	1
✅6-Chart elements	1		Link
✅7-Machine Learning modeling	1		Link

📕 Resources - Other Best Free Resources to Learn Python

👁️ Chapter1: - Free Courses

Title/link	Description	Reading Status
✅ 1-Harvard CS50’s Introduction to Programming with Python	by Eddy Shyu,Cousera,Goog	InProgress
✅ 2-Python Cheat Sheet	by Eddy Shyu,Cousera,Goog	Pending
✅ 3-Getting Started with Streamlit	Stramlite, Other GUI library
Pending

👁️ Chapter1: - Books

Title/link	Description	Reading Status
✅ 1-Interpretable Machine Learning	by Christoph Molnar A Guide for Making Black Box Models Explainable	InProgress

🔹Python Projects**

Title	Description	Code	Status	Completed On	Author
✅1-Create a Simple Voice Assistant	---		Completed
✅2-Autocorrect	---		Completed
✅3-Audio_book	---		Completed
✅4-Chatboot	Chat Bot GUI Using Python		Pending
**✅5-Build a Python Module and Share it with Pip Install	---		Pending

🔹 Important Websites

🔢	Project Title	Description	LINK	Status
✅	PyCaret Official Website	Comprehensive tutorials and official docs to learn PyCaret, an easy-to-use machine learning library.		✅ Completed
✅	Learnpython.gr	A basic NLP project that automatically corrects user-input text using Python's autocorrect library.	link	✅ Completed
✅	Audio Book Converter	Convert text documents into spoken audio using Python's text-to-speech (TTS) libraries.		✅ Completed
⏳	Chatbot GUI (Chatboot)	A basic chatbot with GUI built using Python. Includes intent matching and response logic.		⏳ Pending

👁️ Chapter5: - Github Repository

Title/link	Description	Status	Feedback
✅ 1- Best-of Machine Learning with Python	This curated list contains 920 awesome open-source projects with a total of 4.9M stars grouped into 34 categorie	Pending	⭐️⭐️⭐️

Module 01: Basics

================================================================

1. Basic

2. Projects

   • Fastapi-webapp.py
   • GUI-Calculator.py
   • To_Send_Email_Using_Python.ipynb
   • qr.py
   • reddit_bot.py
   • spelingCorrection.py
   • try_and_catach.py
   • Send Daily Push Notifications to Your Phone Using Python
   • Make a News App with Python | News API | Python Project for Beginners
   • Shutdown Computer with Voice in Python
   • A Simple Spelling & Grammar Checker using Python
   • How To Send For Free SMS Using Python With Twilio [ updated ]
   • How to Convert Speech to Text in Python
   • Create Your Own Translator Using Python
   • Convert Speech to Text in Python Using speech_recognition Module
   • Python Auto Clicker

Module 02: Projects that needs to be solved

================================================================

4. Python Projects need to be solve.
   • Python Projects You Can Build
   • I know python
   • Python GUI App Using Tkinter - Step by Step Tutorial
   • How to make a Discord Bot using Python 2021! (Discord.py)
   • 15 Python GUI Projects with Source Code
   • Draw multiple pattern using Python Turtle
   • Web Scraping Python App That Tracks Amazon Prices & Sends Email Alert! | BeautifulSoup - Requests
   • How to Create Home surveillance system using Python
   • Build A Mobile App With Python 🔥 Kivy Python Tutorial || Python Project
   • How to create a smart attendance system using python
   • How to find Wifi Passwords using python 2021
   • Convert PY to EXE Automaticall
   • Build a Weather App in Excel by using Python
   • Generating Dashboards using Python Dash Framework-Khattak
   • Python Projects You Can Build
   • Transcribe Video to Text with Python and Watson in 15 Minutes
   • Create Your Own Security Camera Using Python
   • How to Convert any Python File to .EXE
   • Quickly build Explainable AI dashboards in Python (explainerdashboard library
   • Learn How to Build a Self-Driving Car System with Python
   • Screen Recorder in Python
   • Create Your Own Browser Using Python | Python Project | PyQt5
   • Live Speech to Text with Watson Speech to Text and Python | FREE Speech to Text API
   • How To Create a Simple Web Server Using Python and the http.server Module
   • Python Project || Build A Mobile App With Python 🔥 kivy python tutorial
   • 120 Python Projects with Source Code
   • Python GUI Development With PySimpleGUI
   • How to Create a Chrome Plugin using Python
   • Let's Create a Python Package Together for Computer Vision | CVZone
   • Realtime chat application using python
   • 12 Beginner Python Projects - Coding Course
   • How to Create Home surveillance system using Python
   • 165+ Python Projects with Source Code

Module 03: Important Python Language Resources

================================================================

5. Impotant Python resourses
   • Python Programming Interview Questions – Get Hired as Python Developer
   • Web code
   • Coding Lifestyle 4u
   • The Ultimate Python Resource hub
   • File Handling in Python; Read, Write, Create, Append, Open Files
   • 18 Python scripts that help you write code faster
   • How to connect Python with MySQL database?
   • Comprehensive Python Beautiful Soup Web Scraping Tutorial! (find/find_all, css select, scrape table
   • Generating Dashboards using Python Dash Framework
   • AK Python Projects
   • The Big Book of Small Python Projects
   • techprofree
   • 130+ Python Projects with Source Code
   • Data Science Garage

💻 Workflow:

• Fork the repository

• Clone your forked repository using terminal or gitbash.

• Make changes to the cloned repository

• Add, Commit and Push

• Then in Github, in your cloned repository find the option to make a pull request

print("Start contributing for Python")

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• Introduction of Python!
• Machine Learning libraries!”

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