List of Useful Libraries/Tools in Python

[yiboj]

Python is a fast growing script language widely used in the scientific community. Here we list some but not complete python tools or libraries, so that the user community could refer to this whenever they need it. Users are encouraged to send your recommendations here, and we will incorporate users' comments into this list.

Python Language

Python

Package Installer

Anaconda

Most Useful Python Package Installer and Updater

Python IDE

PyCharm	Python IDE for Professional Developers
Wing	Python IDE for Professional Developers

PODAAC Web Service Library

podaacpy

HDF5 Library

HDF5	HDF5 for Python
PyTables	managing hierarchical datasets

netCDF Library

netCDF 4	Python interface to the netCDF C library
xarray	N-D labeled arrays and datasets

Research Collaboration

jupyter notebook

Dataset Access

THREDDS Crawler	Package for crawling THREDDS servers
Pydap	Package for OPeNDAP

Python GUI Programming

wxWidgets	Python GUI Programming
Tkinter	Popular GUI Programming
PythonWin	Python GUI Programming for MFC

Data Visualization

matplotlib	2D plotting library
Matplotlib Basemap	Plotting on Map
Mayavi	3D scientific data visualization and plotting
pyresample	Geospatial image resampling
PyQtGraph	Scientific Graphics and GUI Library
seaborn	Statistical data visualization
bokeh	Interactive visualization
Iris	Meteorology and Climatology Package by the Met Office
scikit-image	Image processing in Python
Cartopy	Map data visualization

Data Engineering

dask	Parallel computing
airflow	Data pipeline
luigi	Data pipeline

Numerical Analysis

NumPy	Scientific Computing
SciPy	Scientific Computing
Statsmodels	Statistical analysis
pandas	Data structures and data analysis
EOF Analysis	Empirical Orthogonal Function

Machine Learning

scikit-learn	Data mining and data analysis
TensorFlow	Machine Intelligence
theano	Deep Learning
keras	Deep Learning
Lasagne	Neural Networks

Security

pyOpenSSL	Python interface to OpenSSL
ecdsa	cryptographic signature
passlib and bcrypt	password hashing

Data Search Engine

elasticsearch

Data search

Cloud Computing

AWS SDK	Amazon Cloud
Google Cloud	Google CloudPlatform

Google Python

Google APIs Client Libraries

Google Earth Engine API

Dev Tools

pytz	time zone library
lxml	XML/HTML Processing
cffi	C code interface

Database Access

SQLAlchemy	SQL Toolkit
pyMySQL	MySQL connector
pymongo	MongoDB driver

[latheexperts]

Thanks for sharing, it's very useful for me

[batsc]

I would like to advertise two libraries from the Met Office Sci Tools (http://scitools.org.uk/) collection:

Cartopy
Cartopy is a Python package designed to make drawing maps for data analysis and visualisation as easy as possible.

Cartopy makes use of the powerful PROJ.4, numpy and shapely libraries and has a simple and intuitive drawing interface to matplotlib for creating publication quality maps.

Some of the key features of cartopy are:

object oriented projection definitions

point, line, vector, polygon and image transformations between projections

integration to expose advanced mapping in matplotlib with a simple and intuitive interface

powerful vector data handling by integrating shapefile reading with Shapely capabilities

Iris
Iris seeks to provide a powerful, easy to use, and community-driven Python library for analysing and visualising meteorological and oceanographic data sets.

With Iris you can:

Use a single API to work on your data, irrespective of its original format.

Read and write (CF-)netCDF, GRIB, and PP files.

Easily produce graphs and maps via integration with matplotlib and cartopy.