
Explore computational finance using Python and Probo package. Learn derivative pricing, Monte Carlo simulation, and dynamic hedging through hands-on demos and Jupyter notebooks.

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.

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.

Explore a Python-based bioinformatics pipeline for analyzing single-cell DNA sequencing data to reveal tumor heterogeneity, aiding in personalized cancer treatment decisions.

Learn to extract tabular data from PDFs using open-source Python tools Camelot and Excalibur. Discover installation, usage, and automation techniques for efficient data extraction and processing.

Explore a novel approach to enhance neural network accuracy and robustness in adversarial situations, focusing on classification based on missing features in deep convolutional models.

Explore secure execution of Python ML models using distroless images at ING. Learn about security risks, minimal Docker images, and practical implementation in a banking environment.

Explore CPython's new security features: auditing hooks and verified open call. Learn how to detect and prevent malicious use of Python, integrating with OS security frameworks.

Explore the complexities of Python autoreloaders, their inner workings, and challenges in implementation. Learn from Django 2.2's refactoring process and discover a new library for simplifying autoreloader development.

Explore methods and tools for analyzing Python's Global Interpreter Lock impact on application performance, helping developers focus on actual problematic areas needing improvement.

Discover best practices for building and shipping high-quality desktop applications using Python, drawing from Dropbox's decade-long experience in developing cross-platform software for millions of users.

Explore TensorFlow 2.0's new features, including Keras API, eager execution, and improved production pipeline, enhancing usability while maintaining performance and scalability.

Discover strategies for improving Python code quality, from easy wins to advanced techniques. Learn to identify and replace problematic patterns, write maintainable code, and prevent future issues.

Explore how MicroPython and ESP32 MCUs can create innovative Industry 4.0 logistics solutions, focusing on a forklift hailing application. Learn about prototyping, deployment, and live demonstration.

Learn to build database applications using PyMongo for MongoDB. Live coding demonstration showcases the simplicity and power of integrating Python with this popular NoSQL database.

Learn to build an ultra-cheap plotter using a Raspberry Pi Zero, servo motors, and everyday materials. Explore Python-driven robotics with minimal resources and skills, ideal for education and introducing young people to programming.

Explore the intersection of biology and Python, discovering how computational tools enhance biological research and improve scientific workflows.

Transforming banking sales with Python: data-driven client management, machine learning pipelines, and automated processes for improved efficiency and personalized service.

Comprehensive guide to transform a Python script into a polished open-source project, covering structure, testing, automation, and best practices for community contribution and maintenance.

Explore the intersection of biology and Python, discovering how this programming language revolutionizes research in computational biology and bioinformatics through various modules and tools.

Explore Cython 3.0's capabilities for optimizing Python code, enhancing performance, and integrating native code. Learn about upcoming changes and their impact on user experience.