A guide for academics with math/physics backgrounds transitioning into data science, covering skills, learning paths, and practical advice.
Analysis of a cryptographic vulnerability in the Beaker Python library's session encryption due to nonce reuse in AES-CTR mode.
A curated list of resources for beginners to learn Python specifically for data science, including tutorials, courses, and books.
A tutorial on using Python, Tesseract, and Wand to perform OCR (Optical Character Recognition) on PDF files and extract text.
A technical guide demonstrating how to call the RSiteCatalyst R package from Python using the rpy2 library for data analysis.
A Fedora maintainer shares a Python script to scrape and email daily reports of failed live CD builds from Koji.
A technical tutorial on building a data product using Python, Markov chains, and a dataset of science questions to generate random quiz questions.
A PhD graduate shares tips and observations on writing a long LaTeX thesis, including visualizations and color analysis.
A technical guide on processing millions of small text files using GNU Parallel and stream processing, without needing Hadoop or a database.
A guide on using the moto library to mock AWS S3 interactions in Python tests, replacing complex boto mocks.
A technical guide on using Python to scrape public data, including answers to questions, from the European Parliament website.
A guide to using Python's tempfile.NamedTemporaryFile() for creating and managing temporary files with control over deletion.
Explains why Python's hasattr() function is dangerous and misleading, especially in Python 2, and recommends using try/except or getattr() instead.
Explains how Python's Mock objects handle non-existent attributes and methods, focusing on special behavior for 'assert' prefixes.
Argues that Python is the best programming language for scientists to learn, highlighting its community, learning resources, and scientific packages.
A tutorial on building a Twitter bot using Python 2.7 and AWS Lambda, covering setup, dependencies, and deployment.
Nilearn 0.2 release enhances machine learning for neuroimaging with new spatial regularizations, dictionary learning, and improved visualization tools.
A post-doc position in computational neuroscience using Python and machine learning to find biomarkers from fMRI brain connectivity data.
A developer's journey from avoiding virtualenvs to adopting 'pew', a tool that simplifies Python virtual environment management.
Analyzing Twitch chat data from Bob Ross painting marathons on Twitch Creative, including scraping methods and message volume statistics.
