Python Packages

This article is about Python packages I use. Some of them are well known, others might be new to you. Let me know if I missed some that are important to you.

Data Science

Data Formats

• Pypdf2
• HDF5: read & write
• msgpack: read & write
• PyYAML

Data Analysis

• matplotlib
• seaborn
• Pandas: Data analysis of tabular data
• edapy: Exploratory data analysis tool

Scientific Computation

• numpy: Use arrays for efficiency
• scipy: Statistical functions, image manipulation and more

Machine Learning

• Tensorflow: Create neural networks
  • Keras: Create neural networks more easily
• sklearn: Various machine learning stuff
• gym: Creating environments for reinforcement learning
• clana

Web and Services

• Flask: web framework
• boto3: AWS
• moto: Testing AWS boto3 code

Datetime

• dateutil: Parsing datetime strings
• pytz: Timezones in Python
• freezegun: Fake time for testing

Testing

• pytest: Writing unittests
• tox: Running tests

Misc

• cfg_load: Loading of configuration files
• exchangelib: Interactions with Microsoft Exchange Server
• itertools: Iterating stuff
• natsort: natural sorting
• Pillow: Image manipulation
• pint: Units
• progressbar2
• shutil: high-level operations on files and collections of files
• six: Backwards compatibility with Python 2.7

Honorable Mentions

I know that the following packages are popular, but I never really used them:

• Django