Auto-Sklearn - Automated Machine Learning in Python
Discover Auto-sklearn, an open-source AutoML tool that simplifies machine learning pipeline development. Learn its functionality, benefits, and how to implement it as a scikit-learn replacement.
Hiring Demystified
Insights on effective hiring practices for tech teams, analyzing popular tactics and their implications, and strategies for finding the right developers with minimal hassle.
How Scientific Computing is Advancing the World of Football
Explore how Python's scientific computing and data science applications are revolutionizing football, from tactical analysis to player insights, with potential for wider accessibility and impact.
SQLite, an (un) known super ant
Explore SQLite's advantages, best practices with Python, transactions, indexing, and special data types. Learn when and how to leverage this powerful lightweight database effectively.
Documentation-Driven Development for Python Web APIs
Explore documentation-driven development for Python web APIs to minimize integration failures, using standards and tools for efficient API lifecycle management and testing.
Introduction to Quantum Deep Learning
Explore quantum computing's impact on deep learning, including hybrid quantum-classical models, variational circuits, and applications in reinforcement learning and NLP.
Creative Coding with imagiLabs
Explore Python basics through creative coding, making colorful animations using the imagiLabs app and programmable accessories. Ideal for young coders aged 8-16.
The Pattern - Machine Learning Natural Language Processing Meets VR/AR
Explore open-source NLP tools and techniques through three ML pipelines using Redis modules. Learn to build knowledge graphs, deploy BERT Q&A models, and implement text summarization with Google's T5.
Taming Nondeterminism with Dependency Injection
Learn to control nondeterminism in Python using dependency injection. Explore challenges, identify issues, and implement solutions to improve code reliability and testability.
Fast Native Data Structures - C-C++ from Python
Explore efficient data processing using Cython to leverage native C/C++ data structures, optimizing performance for large-scale numerical and string operations in Python.
Django with PostgreSQL Superpowers
Explore PostgreSQL's exclusive features and superpowers in Django projects, leveraging built-in contrib modules and third-party packages for enhanced database functionality.
Nobody Expects the Spanish Inquisition
Explore the fascinating world of Python development, including insider stories, bug battles, and unexpected challenges faced by the core team.
Towards a Sustainable Solution to Open Source Sustainability
Exploring strategies for open source sustainability, from donation-based models to helping companies understand the business value of contributing to open source projects.
Virtual Tourism in COVID Times
Explore building an interactive dashboard using Python to relive past travels during lockdown. Learn data processing, visualization, and integration of external sources for a personalized virtual tourism experience.
Functional Programming Inside OOP - It’s Possible With Python
Explore functional programming concepts in Python, including pure functions, side effects, and decorators. Learn to implement functional patterns for robust, concise, and easily testable code.
Protecting Your Machine Learning Against Drift - An Introduction
Introduction to detecting and protecting against machine learning model drift, covering statistical methods, offline and online detection strategies, and practical implementation using alibi-detect library.
Heartbeats for Hackers
Explore electrocardiography, from heart basics to building an ECG with Arduino. Learn data analysis and machine learning techniques for heart data interpretation.
Learn from LL-1 to PEG Parser the Hard Way
Explore parser evolution from LL(1) to PEG, covering compiler fundamentals, traditional techniques, and CPython's implementation. Gain insights into parsing concepts and their practical applications.
Computational Complexity Theoretical Foundation on How Long Will Program Run
Explore computational complexity with 7-year-old programmer Kautilya Katariya. Learn time complexity, Big-O notation, and algorithm analysis through searching and sorting examples. Gain insights from the youngest Guinness World Record holder.
Designing Functional Data Pipelines for Reproducibility and Maintainability
Explore functional programming principles to build scalable, reproducible, and maintainable data pipelines in Python. Learn key concepts, design patterns, and practical applications for data-intensive projects.
Writing a Python Web Framework in 2021
Explore modern Python web framework development, examining tools and libraries available in 2021 to create a framework suited for today's API and websocket-focused web landscape.