Hello! My name is Kenneth Reitz.
I create tools for creators.
requests
An elegant and simple HTTP library for Python, built for human beings.
requests-html
Scraping the web as simply and intuitively as possible.
pipenv
A tool that aims to bring the best of all packaging worlds to the Python world.
responder
Experimental asynchronous web framework with novel concepts & customer ideas.
records
A simple & powerful library for making raw SQL queries to most relational databases.
maya
A UTC-first datetime library that enforces best practices and eases cognitive overhead.
pep8.org
An easier-to-parse presentation of the PEP 8 style guide for Python code.
tablib
A format-agnostic tabular dataset library for Python
“I learned a lot of things, especially things I didn't even know I didn't know—and found very useful to know.”
–⭐⭐⭐⭐⭐
If you like to write programs that go out into the world and present themselves in a professional way BECAUSE they are professionally conceived and implemented, you'll want to have this book.
“It was a great pleasure getting to know Ken and working with him, he is definitely one of the most inspirational person I have ever met. I have learned a lot working with him on Open source projects. Not only on the technical side, but he also motivated me to contribute more to open source!”
– Luna Chen, Site Reliability Engineer at Pollen
“If you want an insight to software as a craft, you can’t go wrong with Ken Reitz.”
— Mahdi Yusuf, Senior Staff Engineer at 1Password
“The attention to detail Ken puts into his code and best practices is something that everyone can aspire to achieve. With his help, I have gone from novice to a full-time developer in under a year.”
– Shane McDonald, Ansible / Red Hat
“Ken embraces efficiency in ways I don't think I will ever aspire to reach. He has true passion for his work, and it shows best when the work he has before him is the kind of work he enjoys.”
– Aaron Collegeman, CTO at CENTURY 21 Redwood Realty
Total Downloads: Requests Library (pypi.org)
This data visualization was derived from the Python Software Foundation’s publicly available BigQuery dataset.
There are inherent problems with this approach, and is meant to be considered a subset of actual installation numbers.
ENCAPSULATION
THE PRACTICE OF STANDING ON THE SHOULDERS OF EACH OTHER, AS WE PROGRESS UPWARDS — TOWARDS THE CASTLES WE BUILD IN THE SKY.
