
Educators discuss innovative approaches to teaching Python, including critical data science, context-based learning, and principles-driven development, to enhance coding literacy for diverse audiences.

Explore strategies for effective Python training, including business aspects, teaching setups, conference tutorials, and adapting to online formats. Gain insights from experienced trainers to enhance your skills.

Explore PYNQ: Python-based platform integrating microprocessors, microcontrollers, and FPGAs. Learn to leverage programmable system-on-chips for embedded development using familiar Python ecosystem and Jupyter notebooks.

Explore how Apache Airflow bridges data science and infrastructure, enabling collaboration between teams and facilitating the development of flexible, observable, and resilient data pipelines.

Explore polyglot data handling with Python using Pandas and Apache Arrow for efficient data exchange between ecosystems, improving performance and reducing file sizes.

Python Steering Council addresses community questions on governance, priorities, and packaging. Insights into Python's development process and future direction from key decision-makers.

Explore Finite State Machines in Django for automating business processes, including workflow creation, audit logging, and visualization generation.

Explore scaling Python with Dask on distributed systems, focusing on deployment challenges and solutions for cluster resource managers like Kubernetes, Yarn, and cloud platforms.

Explore Python decorators: enhance code functionality, improve efficiency, and add capabilities with ease. Learn to create and apply decorators for more powerful and flexible programming.

Learn strategies for migrating Python 2 code to Python 3, focusing on writing single-source programs compatible with both versions using python-future. Gain practical skills for a smooth transition.

Explore probability distributions using Python, demystifying key concepts like sampling, joint, conditional, and marginal distributions for a solid foundation in Bayesian statistics.

Explore speech recognition systems and develop an isolated word recognition system in Python, with insights into real-world applications and advanced techniques.

Explore GPU-accelerated data analytics using RAPIDS libraries in Python. Learn ETL, machine learning, graph analytics, and more with familiar APIs for faster computation and model iteration.

Explore Python's performance, comparing it to other languages, and learn optimization techniques and future improvements for faster execution.

Explore how Python and open source tools drive Salesforce.org's development, enabling community-built solutions for nonprofits and education. Learn to integrate Python apps with Salesforce's CRM platform.

Explore automatic differentiation in Python, its applications in optimization and computational art, using libraries like JAX, TensorFlow, and PyTorch. Gain intuition for derivatives and gradients.

Explore phonetic analysis and word generation using Python and machine learning. Learn to create nonsense verse and analyze word sounds with the Pincelate library.

Insider's look at building Python from source across platforms, focusing on Windows challenges and ActiveState's efforts to contribute to the Python community.

Explore alternatives to mocks in testing, focusing on design patterns and techniques for better code structure, maintainable tests, and a healthy test pyramid.

Learn essential Git concepts and commands for effective collaboration in software development projects, including cloning, inspecting, and comparing repositories.

Explore JAX's NumPy-compatible API for performant numerical modeling and gradient-based optimization. Learn functional programming, deterministic random number generation, and neural network integration.