Pieces of Py #1: Decorator with arguments
A tutorial explaining how to create and use Python decorators that accept arguments, with code examples.
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.
Learn how to use CircleCI orbs to upload a Python Shiv application to an AWS S3 bucket for deployment.
Announcing the second edition of 'Data Science from Scratch', updated for Python 3 with cleaner code, type hints, and a new deep learning chapter.
A review and tips for the OMSCS CS7646 Machine Learning for Trading course, covering the author's experience and key takeaways.
A personal request for help finding a short-term sublet in NYC after a last-minute cancellation.
Explores functional programming concepts in Python, covering pure functions, benefits like modularity and testability, and built-in functional tools.
A technical walkthrough of creating a word cloud visualization from highly-gilded Reddit comments using Python, spaCy, and BigQuery.
A guide to maintaining open-source Python projects efficiently, covering tools, workflows, and community management for solo maintainers.