If you want to become an expert in Python, you should definitely watch this PyData talk from James Powell.

EVENT: PyData, 2017

SPEAKER: James Powell

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Scikit-learn is a free machine learning library for Python. Learn to code python via machine learning with this scikit-learn tutorial.

In this tutorial you will learn how to use Mask R-CNN with Deep Learning, OpenCV, and Python to predict pixel-wise masks for every object in an image.

This article describes how to create a repeatable process for analyzing data with Jupyter Notebooks.

This is a tutorial style post that walks through using the RPython translation toolchain to create a REPL that executes basic math expressi...

An exploration of NFL play-by-play statistics with Bokeh and Pandas.

Tutorial using Python library LightGBM with code samples

Or: the mystical art of turning a list of D&D spells into a much longer list of much weirder spells

MySQL Shell 8.0.13 (GA) introduced a new feature to allow you to easily import JSON documents to MySQL. The basics of this new feature were described in a previous blog post. In this blog we we will provide more details about this feature, focusing on a practical…

In a few months I’ll have to leave my rented apartment and look for a new one. As painful as this experience can be, especially as a real…

This article is a follow-up on another one where I built a web scraper to look for houses for sale in Lisbon. This time, I will focus on…

Hi, I wrote a comparison of some points which I consider important in governance PEPs. I chose to ignore some aspects which I consider less important like exact organization of votes (see each PEP for that). It is not always easy to extract the information…

flask httpie requests simplejson botocore scrapy docker-compose ansible What are those diagrams ? They show dependencies between the internal modules of various well-known Python libraries. They goal is to provide a global overview of a Python project architecture…

This Python tutorial will get you up and running with Bokeh, using examples and a real-world dataset. You'll learn how to visualize your data, customize and organize your visualizations, and add interactivity.