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Introduction to Python for Data Science

Introduction

1. Programming for Data Science and Artificial Intelligence
2. Getting Started with Python
3. Data Types
4. Variables

Functions and Modules

5. Control Structures and Conditions
6. Functions
7. Importing from Libraries/Modules
8. Special Functions

Data Types & String Handling

9. Data Types II
10. String Handling

Error Handling und Best Practices I

11. Error Handling
12. Clean Code and Best Practices
13. Reading and Writing Files

Of Classes and Objects

14. Object-Oriented Programming - Introduction
15. Object-oriented programming in Python

Working with Numerical Data - Numpy

16. Numerical Data in Python with NumPy
17. Numerical Data in Python with NumPy - Part 2

First Steps towards Data Science

18. Pandas!
19. Pandas - Part 2
20. Data visualization with Python

A few missing things

21. Python Debugging
22. Generators / Iterators

Source Code and Contributions

Source Code on GitHub

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Durch Florian Huber

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