We Have Nearly One Million Lines of Python 2 Code in Production – And Now?
Strategies and experiences for migrating large Python 2 codebases to Python 3, using a real-world case study of a CMS with nearly one million lines of code. Practical insights for successful migration projects.
NLPeasy - A Workflow to Analyse, Enrich, and Explore Textual Data
Discover NLPeasy: a streamlined workflow for analyzing, enriching, and exploring textual data using pre-trained models, Docker, and Jupyter Notebooks. Simplify your NLP projects with this powerful Python package.
The Python Data Visualization Landscape in 2020
Explore Python's data visualization libraries including Matplotlib, Plotly, Bokeh, and Altair. Learn about dashboarding solutions like Dash, Panel, and Voila, and understand their key features and recent developments.
The Painless Route in Python to Fast and Scalable Machine Learning
Learn to optimize Python for high-performance machine learning, from Intel-enhanced packages to scalable data processing and analytics pipelines that rival C++/MPI performance on large datasets and clusters.
Top 15 Python Tips for Data Cleaning - Understanding
Discover 15 essential Python tips for effective data cleaning and understanding, focusing on Pandas and NumPy libraries to enhance your data analysis skills.
Can We Deploy Yet?
Prepare your Python project for production deployment with essential checklist, Docker image optimization, environment differences, and real-world strategies for handling exceptions, logs, and metrics.
Automating Machine Learning Workflow with DVC
Discover how to automate and streamline machine learning workflows using DVC, from data ingestion to model deployment. Learn to organize pipelines efficiently, regardless of project size.
Mastering a Data Pipeline with Python - 6 Years of Learned Lessons from Mistakes
Explore key insights and best practices for building robust data pipelines with Python, covering data acquisition, transformation, storage, and workflow management based on 6 years of experience.
How to Be Pythonic - Design a Query Language in Python
Explore the design of WOQLpy, a Python query language for TerminusDB. Learn about challenges, methods, and best practices in creating Pythonic packages, with interactive discussions on effective Python design.
Python Emergency Remote Teaching
Experiências reais de ensino de programação durante a pandemia: desafios, adaptações e lições aprendidas na transição para o ensino remoto emergencial de Python.
Sharing Reproducible Python Environments with Binder
Learn to share reproducible Python environments using Binder, integrating Jupyter Notebooks and Docker for easy packaging and cloud-based sharing of data science projects without complex setup.
Growing a Python Community at an Enterprise Scale
Discover strategies for fostering a thriving Python community within large enterprises, focusing on growth, organization, and impactful initiatives.
Running Unit Test on Top of Serverless Service
Explore serverless architecture for unit testing, including parallelization approaches, implementation insights, and cost-benefit analysis for improved developer productivity.
Developing a Match-Making Algorithm Between Customers and Go-Jek Products
Explore how GoJek developed a personalized recommendation system using PySpark to match customers with relevant products and vouchers, improving conversion rates.
Making Pandas Fly
Optimize Pandas for larger datasets: compression techniques, faster operations, and alternatives like Dask and Vaex. Learn to process more data efficiently and boost your data analysis capabilities.
The Hidden Power of the Python Runtime
Explore Python's hidden runtime events, frame objects, and powerful tools for inspecting program state during execution, enhancing your programming skills and debugging capabilities.
gRPC Python, C Extensions, and AsyncIO
Explore gRPC Python's C extensions and AsyncIO implementation, covering Cython usage, GIL challenges, non-blocking I/O solutions, and performance improvements for efficient asynchronous programming.
Writing Clean Abstractions
Learn to create clean, extendable, and scalable abstractions in programming. Explore strong vs. weak abstractions, design patterns, and best practices through interactive examples and real-world case studies.
Speak Python with Devices
Explore controlling hardware devices with Python, expanding your skillset beyond data analysis and web development. Learn practical applications for IoT and infrastructure automation.
Writing and Scaling Collaborative Data Pipelines with Kedro
Discover how Kedro framework facilitates collaboration between data scientists and engineers, enabling scalable and sustainable data pipelines while balancing flexibility and stability.
Python Table Manners - Cut the Cookie Gracefully
Discover essential Python tools for efficient software engineering, covering dependency management, testing, style checks, task automation, and security. Enhance your development workflow with practical insights.