Fifa-world-cup - Analyses of faces of fifa world cup 2018

What does Python 3.7 bring to the table? Learn about some of the biggest changes and see you how you can best make use of them.

The official home of the Python Programming Language

Ed note: If you want to see the latest in AWS Lambda observability and monitoring for Python, check out what’s new here.

Documenting code is one of the tasks I really don’t want to do, but I’ll do it for the grades anyway.

A short and sweet idiom for making multiline strings beautiful.

I wrote an article sometime ago on the iterator protocol that powers Python’s for loops.
One thing I left out of that article was how to make …

Cortex automates machine learning pipelines at Twitter with Airflow.

Ed note: If you want to see the latest in AWS Lambda observability and monitoring for Python, check out what’s new here.

Learn to build a Mars-themed Twilio SMS web app with Python, Flask and Contentful.

I wrote this blog to wrap up my first ever public talk at PyCon Thailand 2018 and to add some more details . Download all materials.

Common signal processing tasks in the numerical handling of experimental data include interpolation, smoothing, and propagation of uncertainty. A comparison of experimental results to a theoretical model further requires curve fitting, the plotting of

Data Wrangling and Exploratory Data Analysis of Non-Performing Loan (NPL) Data

A NumPy implementation of the famed Convolutional Neural Network: one of the most influential neural network architectures to date.

Managing multiple versions of Python is not an easy task and sometimes it even gets worse when you want to develop multiple projects with different Python versions.

Let us suppose that you have access to a corpus of text. You want to build a tool to explore this corpus but do not have access to any…

Learn how to use Kafka Python to pull Google Analytics metrics and push them to your Kafka Topic for analysis using Apache Spark for Big Data Analysis.