Data science blogs provide an ideal forum to show off your work in job applications and to the public. Learn to build one with Pelican, Jupyter Notebook, and Github pages.

Testing Configuration Parameters A lot of applications end up growing a complex configuration system,
with a large number of different knobs and dials you can turn to change
behaviour. Some of these are just for performance tuning, some change
operational concerns, some have other functions.

Testing these is tricky. As the number of parameters goes up, the number
of possible configuration goes up exponentially. Manual testing of the
different combinations quickly becomes completely unmanageable, not
to mention extremely tedious.

Fortunately, this is somewhere where property-based testing in general
and Hypothesis in particular can help a lot.

Test faster, fix more

Welcome to This Month in Open Source at Scrapinghub! In this regular column, we share all the latest updates on our open source projects including Scrapy, Splash, Portia, and Frontera. If you’re in…

Are you interested in building your own custom deep learning system? If so, you might want to consider an Uninterrupted Power Supply and a dedicated rack.

In this blog series we will showcase Orange, an open source data visualization and data analysis tool, through two simple predictive models and a Monte Carlo Simulation. Orange is a comprehensive, component-based framework for machine learning and data mining. It is intended for both experienced users and researchers in machine learning, who want to prototype new algorithms while reusing as much of the code as possible, and for those just entering the field who can either write short Python scripts for data analysis or enjoy the powerful, easy-to-use visual programming environment.

Interview with Robert Collins, current core maintainer of Python's unittest module. Some of the topics covered How did Robert become the maintainer of unit

Продолжаем серию интервью с докладчиками PyCon Russia о Python, их работе и увлечениях. Готовы мини-интервью с разработчиком языка Python Андреем Светловым и...

Update: This article is part of a series. Check out the full series: Part 1, Part 2, Part 3, Part 4, Part 5, Part 6, Part 7 and Part 8! You…

​This guide is about using the Elasticsearch python client to do useful things with Elasticsearch. The python client makes use of the Elasticsearch REST interface.

About a year ago, I wrote an article introducing the concept of optimizing road trips using a combination of genetic algorithms and Google Maps. During that time, I’ve given some thought to h…

programming thought recycle bin of sashe

requests-respectful - Minimalist Requests wrapper to work within rate limits of any amount of services simultaneously. Parallel processing friendly.

FyPress is a mini CMS in Python based on Flask and Jinja2, aimed to easily deploy content-managed websites through organized articles and pages, using simply HTML - Fy-/FyPress

Open source time series library for Python. Contribute to RJT1990/pyflux development by creating an account on GitHub.

A very simple content-based recommendation engine. Great for learning, but also ready for real-world use. - groveco/content-engine

TextRank for Korean. Contribute to theeluwin/textrankr development by creating an account on GitHub.

Flake8's release notes.