https://github.com/mikebild/introduction-python

An introduction to Python, Flask, Numpy, MatPlotLib and Pandas
https://github.com/mikebild/introduction-python

data-analysis flask introduction iterables json jupyter matplotlib microservice numpy pandas python python3 sqlalchemy tutorial

Last synced: 5 days ago
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An introduction to Python, Flask, Numpy, MatPlotLib and Pandas

• Host: GitHub
• URL: https://github.com/mikebild/introduction-python
• Owner: MikeBild
• Created: 2017-12-31T06:53:57.000Z (almost 7 years ago)
• Default Branch: master
• Last Pushed: 2018-12-30T06:27:52.000Z (almost 6 years ago)
• Last Synced: 2024-11-04T01:42:27.226Z (about 2 months ago)
• Topics: data-analysis, flask, introduction, iterables, json, jupyter, matplotlib, microservice, numpy, pandas, python, python3, sqlalchemy, tutorial
• Language: Jupyter Notebook
• Homepage: https://mikebild.com
• Size: 134 KB
• Stars: 4
• Watchers: 4
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# 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](https://speakerdeck.com/mikebild/python-and-pandas-in-a-nutshell)

* [Introduction Python Data-Apps](https://speakerdeck.com/mikebild/introduction-data-apps-with-python)

## Basics in Python

* [Introduction](python/1-introduction.md)

* [Setup and Basics](python/2-setup-basics.md)

* [Variables](python/3-variables.md)

* [Conditional Statements](python/4-conditional.md)

* [Functions](python/5-functions.md)

* [Data Types - Lists, Tuples, Dictionaries](python/6-data-types.md)

* [Modules](python/7-modules.md)

* [Classes](python/8-classes.md)

* [Exceptions](python/9-exceptions.md)

* [Testing](python/10-testing.md)

## Advanced Development

* [Collection](python/11-collection.md)

* [Functional Python](python/12-functional-python.md)

* [Decorators](python/13-decorators.md)

* [Magic Methods](python/14-magic-methods.md)

* [Iterables, iterators and generators](python/15-iter.md)

## Web-Development

* [Basics](web/1-app.md)

* [Server Side Rendering](web/2-ssr.md)

* [JSON](web/3-json.md)

* [Testing](web/4-testing.md)

## Data-Access

* [Files](data-access/1-files.md)

* [Databases](data-access/2-database.md)

* [JSON](data-access/3-json.md)

* [XML](data-access/4-xml.md)

* [CSV](data-access/5-csv.md)

* [Excel](data-access/6-excel.md)

## Data-Analysis

* [NumPy](data-analysis/1-numpy.md)

* [SciPy](data-analysis/2-scipy.md)

* [MatPlotLib](data-analysis/3-matplotlib.md)

* [Pandas](data-analysis/4-pandas.md)

## More Python

* [Web based Microservices with Python + Flask](https://github.com/umermansoor/microservices)

* [Event-Driven Microservices with Python + RabbitMQ](https://github.com/rochacbruno/nameko-example)

* [Function as a Service (FaaS) with Python](https://github.com/fnproject/fdk-python)

* [DDD in Dynamic Languages](https://github.com/valentjedi/ddd-dynamic)

## 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](https://github.com/MikeBild/introduction-python/issues).

## License

This project is licensed under the MIT license. See the [LICENSE](LICENSE) file for more info.

## Thanks

You like this **Python introduction** and you want to see what coming next? Follow me on Twitter [`@mikebild`](https://twitter.com/mikebild).

Enjoy!