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A-Z Guide to Python in Data Science πŸ‘‹πŸ›’

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.

Overview

The A-Z Guide to Python in Data Science is your go-to resource for mastering Python's applications in the field of Data Science. Whether you're a novice looking to build a solid foundation or an experienced practitioner aiming to enhance your skills, this repository caters to learners at all levels.

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.

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 refer to the CONTRIBUTING.md file for guidelines on how to contribute.

πŸ™ Special thanks πŸ™ to our Virtual University of Pakistan students, reviewers, and content contributors, notably Dr Said Nabi

                              Star this repo if you find it useful ⭐

Getting Started-Course 01 - 🐍Introduction of Python

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

Course 02 - πŸ“šMachine Learning Libraries

πŸ“šChapter: 1 - NumPy

Tutorial Video Code
🌐1- Exploring the Power of Machine Learning Libraries in Python Content 2 Colab icon
🌐2- NumPy-Create Array 1 Colab icon
🌐3- NumPy-Arithmetic Operation -- Colab icon
🌐4- NumPy-Basics operations -- Colab icon
🌐5- NumPy for Statistical Analysis 1-2-3-4 Colab icon
🌐5- NumPy for Linear Algebra -- Colab icon

Resources - πŸ“šOther Best Free Resources to Learn Python

Module 01: Basics

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  1. Basic
  2. Projects

Module 02: Projects that needs to be solved

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  1. Python Projects need to be solve.

Module 03: Important Python Language Resources

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  1. Impotant Python resourses

✨Top Contributors

We would love your help in making this repository even better! If you know of an amazing Python course that isn't listed here, or if you have any suggestions for improvement in any course content, feel free to open an issue or submit a course contribution request.

                   Together, let's make this the best AI learning hub website! πŸš€

Thanks goes to these Wonderful People. Contributions of any kind are welcome!πŸš€

Test by mehboob added on april 01,2024

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This repository is related to all about Python - an A-Z guide to the world of Data Science. This supplement contains the implementation of Python from Basic to advance level. Follow Coursesteach for more content 😊

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