Explains the benefits of using Pipfile over requirements.txt for managing Python dependencies and how to get started.
A practical guide outlining essential tools, skills, and practice methods for beginners to start a career in data science.
Final post in a Pythonic code series about leveraging PyPI packages to write better Python code by using community-developed tools.
A Python script to check and warn about upcoming SSL certificate expirations, designed for easy use in environments like AWS Lambda.
A technical deep dive into exposing and accessing Python 3.6's private dictionary version number using ctypes.
A technical talk summary on building reliable software systems, covering key concepts, books, and practices from Site Reliability Engineering (SRE).
A review and tips for Georgia Tech's OMSCS CS6476 Computer Vision course, covering content, assignments, and personal experience.
Explores how to write Pythonic code by effectively using the Python standard library's built-in modules for tasks like CSV handling.
A guide for beginners on how to start learning deep learning using the Keras library, including recommended resources and prerequisites.
A tutorial for Node.js developers on building a CRUD API with Python's Flask framework, covering setup, SQLite, and routing.
Explores Python's built-in functions like any, enumerate, and print to help developers write more idiomatic and efficient Python code.
A tutorial on building a Facebook Messenger bot that fetches and delivers content like memes and jokes from Reddit.
Explains the Python @property decorator as a tool for encapsulation and clean attribute access, contrasting it with Java-style getters/setters.
A guide to the Lomb-Scargle periodogram, explaining its use, common misconceptions, and practical considerations for analyzing astronomical data.
A tutorial on implementing distributed tracing in a Python microservices application using Zipkin and py_zipkin to monitor request latency.
Explores implementing group-by operations from scratch in Python, comparing performance of Pandas, NumPy, and SciPy for data aggregation.
A technical analysis using sentiment analysis on Warren Buffett's shareholder letters from 1977-2016 to identify trends in tone and market influence.
A guide to recovering lost Python source code from a running process using pyrasite and uncompyle6.
A developer investigates and fixes a subtle bug in Python tests for Themis' Secure Comparator, caused by C integer overflows in ctypes.
A technical walkthrough of simulating a chaotic triple pendulum system in Python using Sympy and Kane's Method.
