Motivation

A tutorial on deep learning with python for text. You will learn how to build a Tensorflow Text Classification system for any scenario.

An introduction to garbage collection and reference counting techniques in Python.

My experiences with different approaches to testing

An overview of some of the mistakes that are commonly made by the beginners in Python.

Jupyter Notebook exercises for k-means clustering with Python 3 and scikit-learn - benjaminwilson/python-clustering-exercises

People don’t speak entirely in idioms unless they are totally off their rockers. Overusing idioms makes you seem more than self-confident…

Do you really know how you ended up with those results after analyzing the data from Public Source?

This article was originally published at iamtk.co.

We're excited to announce the release of Zulip Server 1.7, containing hundreds of new features and bug fixes. Zulip is the world’s most productive team chat software, an alternative to Slack, HipChat, and IRC. Zulip combines the immediacy of chat with the…

Edit: The popularity of this post has inspired me to write a machine learning test library. Go check it out!

A Step by Step Guide with Code Snippets for Packing Your Python 2.7 Function for AWS Lambda

Analyse your conversation history on Telegram programatically

If your Python programs are slower than you’d like you can often speed them up by parallelizing them. In this short primer you’ll learn the basics of parallel processing in Python 2 and 3.

Suman Karumuri | Pinterest technical lead, Visibility & Ruth Grace Wong | Pinterest engineer, Core Site Reliability

This article is an extension to a previous article titled, Recursive Model Relationships in Django, which demonstrated a way to utilize the bare-bones Django c...

holy grail for python environments