Introduction to Python

A practical Python course for beginners and experienced developers.

Structure:

• Basic programming concepts and eco system
• Advanced development techniques
• Web-Development
• Data-Analysis and Visualization

Introduction

Why Python?

• Very easy to learn
• Open-Source with an awesome community
• Productive tools and a lot of exisiting libraries

Why Python instead of R, SPSS, PASW, etc.?

• Who want's to learn a development tool to build Command-Line, Web, Data-Analytics, and Scientific Applications
• Can become a common language for data science and production of web based analytics products

Slides

• Python + Pandas in a Nutshell
• Introduction Python Data-Apps

Basics in Python

• Introduction
• Setup and Basics
• Variables
• Conditional Statements
• Functions
• Data Types - Lists, Tuples, Dictionaries
• Modules
• Classes
• Exceptions
• Testing

Advanced Development

• Collection
• Functional Python
• Decorators
• Magic Methods
• Iterables, iterators and generators

Web-Development

• Basics
• Server Side Rendering
• JSON
• Testing

Data-Access

• Files
• Databases
• JSON
• XML
• CSV
• Excel

Data-Analysis

• NumPy
• SciPy
• MatPlotLib
• Pandas

More Python

• Web based Microservices with Python + Flask
• Event-Driven Microservices with Python + RabbitMQ
• Function as a Service (FaaS) with Python
• DDD in Dynamic Languages

Issue Reporting

If you have found a bug or if you have a feature request, please report them at this repository issues section. Please do not report security vulnerabilities on the public GitHub issue tracker.

License

This project is licensed under the MIT license. See the LICENSE file for more info.

Thanks

You like this Python introduction and you want to see what coming next? Follow me on Twitter @mikebild.

Enjoy!