A developer shares how they built a low-cost Azure game using Logic Apps and Face API for event engagement, with code on GitHub.
A crash course on the theory behind linear regression models, a fundamental machine learning algorithm for predicting numerical values.
Connecting a Django Shiv application to Nginx to complete the deployment process for a SaaS project.
A tutorial explaining how to create and use Python decorators that accept arguments, with code examples.
A technical guide comparing Python methods for efficiently loading and transforming large, messy datasets into a PostgreSQL database.
A talk and article showcasing surprising and advanced features of the IPython interactive Python shell.
Explains web caching concepts, benefits, and common issues like race conditions, with Python examples and mentions of Memcached/Redis.
A guide to encoding and decoding multipart/form-data in Python without external libraries, covering native methods and the email.mime module.
Explores the psychological reasons behind heated debates in data science, like R vs. Python, and why they are often unproductive.
Compares the runtime performance of pandas' crosstab, groupby, and pivot_table methods for data aggregation.
A technical tutorial on encoding hidden messages in text using different apostrophe characters to represent Morse code dots and dashes.
A technical guide analyzing and improving serialization performance in Django Rest Framework, with benchmarks and practical solutions.
A step-by-step guide for migrating a Python project's CI/CD pipeline from Travis CI to Azure Pipelines, focusing on simplicity.
Learn how to speed up Python I/O-bound tasks like downloading multiple URLs using the ThreadPoolExecutor for multithreading.
A technical guide on using the Twython library to upload videos longer than 30 seconds to Twitter via the chunked/async API.
An overview and comparison of six different open-source systems for running Python code directly within a web browser.
Explains the difference between axis=0 and axis=1 in Pandas DataFrames with a practical car sales example.
Learn how to load Excel files using Python and Pandas with examples for local files and URLs.
Learn how to load a CSV file using Python and Pandas, including from local directories and URLs.
Explains the difference between axis=0 and axis=1 in Pandas DataFrames using a car sales example.
