Visual Debugger for Jupyter Notebooks - Myth or Reality?
Explore the challenges and possibilities of implementing a visual debugger for Jupyter Notebooks, including architecture insights and current limitations in existing tools.
Do We Have a Diversity Problem in Python Community
Exploring gender diversity in the Python community through data analysis, examining representation at conferences, and proposing actionable steps to foster inclusivity and balance.
From Days to Minutes, From Minutes to Milliseconds with SQLAlchemy
Optimize SQLAlchemy performance by addressing N+1 queries, improving mass operations, and understanding ORM-database interactions for significant speed improvements.
Image Processing with Scikit-Image and Dash
Explore image processing using scikit-image and Dash. Learn to build interactive applications for transforming, analyzing, and visualizing images with Python tools in various scientific and industrial contexts.
How Software Can Feed the World
Explore how Python-based software supports innovative indoor farming, addressing global food challenges through IoT, real-time monitoring, and edge computing with AI.
Opt Out of Online Sexism – Open Source Activism
Explore an open-source browser extension combating online sexism. Learn about challenges, community-led development, and balancing NLP with web development for digital activism.
PyRun - Shipping the Python 3.7 Runtime in Just 4.8MB
Discover PyRun: a compact Python 3.7 runtime for Unix systems. Learn about its benefits, customization options, and applications in Docker containers. Ideal for efficient deployment and distribution.
Python for Realtime Audio Processing in a Live Music Context
Explore real-time audio processing for live music using Python, leveraging the pyo module to augment acoustic instruments with digital capabilities and create unique sonic experiences.
Accelerate Your Deep Learning Inferencing with the Intel DL Boost Technology
Explore Intel® DL Boost technology for efficient deep learning inference acceleration using low-precision INT8 and VNNI instructions on 2nd gen Intel Xeon Scalable processors.
Geospatial Analysis Using Python and JupyterHub
Explore geospatial data processing and visualization using Python, covering vector and raster analysis, deep learning applications, and high-performance computing techniques for efficient spatial data handling.
Python's Parallel Programming Possibilities - 4 Levels of Concurrency
Explore Python's parallel programming options: multiple machines, processes, threads, and green threads. Learn implementation techniques, potential pitfalls, and practical examples for each concurrency level.
Unleash the Power of C++ in Python
Explore techniques for integrating C++ libraries with Python, enhancing performance while maintaining simplicity. Learn about language bindings and the Qt project's approach using Shiboken.
Publish a Perfect Python Package on PyPI
Learn to create and publish a Python package on PyPI, covering project structure, setup files, testing, documentation, and best practices for successful distribution and maintenance.
PEP Yourself - 10 PEPs You Should Pay Attention To
Explore 10 essential Python Enhancement Proposals (PEPs) and their impact on everyday coding, from style guides to advanced features like data classes and assignment expressions.
Using Python to Teach Computational Finance
Explore computational finance using Python and Probo package. Learn derivative pricing, Monte Carlo simulation, and dynamic hedging through hands-on demos and Jupyter notebooks.
Dash - Interactive Data Visualization Web Apps with No Javascript
Learn to create interactive data visualization web apps using Dash, a Python framework that requires no JavaScript. Discover best practices, common pitfalls, and when to transition to traditional web development.
Boosting Research with Machine Learning
Explore machine learning applications in research, from neuron recognition to EEG-based movement prediction. Learn Python techniques for data preparation and analysis using various ML methods.
Bioinformatics Pipeline for Revealing Tumour Heterogeneity
Explore a Python-based bioinformatics pipeline for analyzing single-cell DNA sequencing data to reveal tumor heterogeneity, aiding in personalized cancer treatment decisions.
The Dos and Don'ts of Task Queues
Explore task queue implementation challenges and solutions for processing high-volume requests. Learn from real-world experiences to make informed choices when experimenting with new tools in microservice architectures.
Don't Do This at Work
Recreación de un taller de programación para niños, explorando técnicas y herramientas de Python poco conocidas, cuestionando procesos de aprendizaje y demostrando capacidades sorprendentes del módulo turtle.
Distributed Multi-GPU Computing with Dask, CuPy and RAPIDS
Explore distributed multi-GPU computing using Dask, CuPy, and RAPIDS. Learn to leverage GPU acceleration and distributed systems for faster, more efficient data processing and analysis.