Instant access to auto-scaling personal Python clusters
A tutorial on using Daskernetes to create auto-scaling, personal Python clusters on Kubernetes for distributed computing tasks.
A tutorial on using Daskernetes to create auto-scaling, personal Python clusters on Kubernetes for distributed computing tasks.
A guide to installing and running the Rainbow Stream Twitter client on Windows Subsystem for Linux (WSL).
Explains how data is represented as objects in CPython, covering types, identity, binding, and mutability.
Explores solutions for monitoring multi-process Python applications with Prometheus, addressing metric inconsistency across workers.
Explores scaling a Python polling app using parallelism to manage thousands of SSH/ping connections efficiently, focusing on concurrent.futures.
A guide to using Python's platform module to retrieve system information on Linux, covering Python 2 and 3 differences.
A tutorial on using Python and the Twython library to automatically create a Twitter list of users who use the #freeCodeCamp hashtag.
A review and tips for the OMSCS CS7641 Machine Learning course, covering assignments, exams, and workload.
A summary of a Python Frederick meetup featuring Christine Lee's presentation on data science tools and features available in Python.
A technical analysis of the Chutes & Ladders board game using Python simulation and Markov chain modeling to calculate expected game length.
A tutorial on using Cython to optimize slow numerical Python code, demonstrated with an Ising Model simulation.
Learn how to use the vim-test plugin to run automated tests instantly within Vim, eliminating the need to switch terminals.
A guide to installing Python packages in Jupyter Notebooks, explaining common issues with pip and conda, and how to ensure packages are available.
Introduces Python experts featured in the book 'Scaling Python', covering topics like distributed systems, performance, and APIs.
Explains Python's __eq__ and __hash__ methods, their interaction, and the critical rule that an object's hash must never change.
A recap of PyData Warsaw 2017, covering key talks, new package announcements, and analytics on the conference's international attendees.
Analyzes line length distributions in popular Python packages, comparing them to Twitter's character limit analysis and exploring PEP8 style guide adherence.
A guide on improving code review communication and avoiding conflict, based on a real-world example of a failed review process.
A summary of a Python Frederick talk on using Scrapy, a Python framework for web scraping, including a link to the presentation.
A comparison of 5 popular Python web frameworks: API Star, Falcon, Flask, Django, and Pyramid, from a Python Frederick presentation.