A talk on using Python to efficiently process and analyze large datasets from mass spectrometry, presented at a Python Frederick event.
A speaker's review of PyGotham 2019, covering talk quality, event organization, and highlights like a talk on web archiving tools.
An analysis and English translation of Jacek Kaczmarski's poem 'The Statues', exploring the legacy of tyranny.
A guide to creating, installing, and using IPython extensions to customize and enhance the IPython interactive shell.
A technical guide on integrating WhiteNoise into a Django app to manage static assets, replacing Nginx.
Explains the Python module reloading problem and solutions, including importlib.reload and IPython's %autoreload magic command.
Explains how to prevent SQL injection in Python using psycopg2's low-level sql.Identifier and sql.Literal functions for safe query building.
A guide to using the GitHub API and PyGithub to automatically filter and close spam pull requests based on keywords.
Explores a simpler alternative to Docker for deploying Python web apps, comparing it to common methods and containers.
A student requests help finding a Summer 2020 software engineering internship, sharing their skills and preferences for small teams or specific tech sectors.
A technical deep-dive into diagnosing and solving severe performance issues caused by an 'Export to Excel' feature in a Django system.
Explains the theory behind linear regression models, a fundamental machine learning algorithm for predicting continuous numerical values.
This article details integrating the wal-e Postgres backup tool into a Shiv app format to streamline deployment processes.
Integrating Celery worker and beat scheduler into a Shiv app to simplify Python SaaS deployment and tool management.
A developer discusses the implications of still using Python 2 in 2019, sharing slides from a conference talk on the topic.
A quick one-liner command to clean up temporary and test conda environments in Python development.
Explores the practical uses of reversible computing, from automatic differentiation in deep learning to distributed systems and database operations.
A developer shares how solving coding puzzles on Advent of Code helps practice algorithms, learn Python, and improve problem-solving skills.
Explains the theory behind linear regression models, a fundamental machine learning algorithm for predicting continuous numerical values.
Explains two Python solutions to a coding puzzle where a function must return True using integer interning or a custom class.
