In this article, we will see how to deploy django channels to production and how we can scale it to handle more load. We will be using nginx as proxy server, daphne as ASGI server, gunicorn as WSGI se

Go beyond pandas, scikit-learn, and matplotlib and learn some new tricks for doing data science in Python.

…and not in the right way

Anaconda is the birthplace of Python data science. We are a movement of data scientists, data-driven enterprises, and open source communities.

Tensorflow 2.0 will be a major milestone for the most popular machine learning framework: lots of changes are coming, and all with the aim of making ML accessible to everyone. These changes, however, require for the old users to completely re-learn how to…

The first post in a series that explores what it means to write tests for our code. This introduction provides a high-level overview of various testing concepts; the goal is to build a common vocabulary for future posts.

In this step-by-step tutorial, you’ll learn how to create a Python package for your project and how to publish it to PyPI, the Python Package Repository. Quickly get up to speed on everything from naming your package to configuring it using setup.cfg.

Being in the data science domain for quite some years, I have seen good Jupyter notebooks but also a lot of ugly. Notebooks can have the perfect balance between text, code and visualisations but how often do your notebooks rather get messy and incomprehensible…

How we finally made Django admin fast for large tables

In 1998, Michael Luby published the Luby Transform Code (LT Code), an error correction algorithm belonging to the “fountain” code class, a type of corrector code that can generate an infinite number…

Do you or your team maintain a large Python 2 code base? Would you like to move to Python 3 but there's just too much in place keeping you on legacy Python? Then you will definitely enjoy this story from Jason Fried. He created a grassroots campaign to move…

It’s as good a time to be writing code as ever – these days, a little bit of code goes a long way. Just a single function is capable of performing incredible things. Thanks to GPUs, Machine Learning, the Cloud, and Python, it’s is easy to create “turbocharged”…

Hi Pythonistas, Welcome to Pybites Code Challenge 58! In this two part challenge we're going to do some natural language processing on podcast transcript data. Prepare to have fun expanding your data science skills!

Here we will learn how to use Pandas Sample to select rows, set a random seed, sample by group, using weights, and conditions, among other useful things

The current state of packaging a Python library (not a Python application).

For my first Medium article, we’re going to go into a quick and easy way to speed up your Python code (and pass those pesky HackerRank…

Build and deploy a serverless Python app with AWS Chalice, a microframework that ships your code to AWS Lambda and scales it for you.

We found our hard to diagnose Python memory leak problem in numpy and numba using C/C++.  It turned out that the numpy array resulting from the above operation was being passed to a numba generator compiled in "nopython" mode. This generator was not being…