Astro Pi - Python on the International Space Station
Explore Python programming on the International Space Station with Astro Pi, a collaboration between Raspberry Pi Foundation and ESA, offering exciting opportunities for students to conduct space experiments.
PyRT - Computer Graphics in Jupyter Notebooks for Fun and Teaching
Explore pyRT for raytracing in Jupyter notebooks, creating 2D animations, visualizing algorithms, rendering geodata, and generating 3D graphics with Python.
Supercharge Your Data Science Workflow with Notebooks, VS Code, and Azure
Enhance data science productivity using Notebooks, VS Code, and Azure. Learn efficient tools and techniques to streamline your workflow and boost project outcomes.
A Pythonic Full-Text Search
Implementación eficiente de búsqueda de texto completo en sitios web usando Django y PostgreSQL, evitando motores de búsqueda adicionales y mejorando la arquitectura y el rendimiento.
IoTPy - Python + Streams + Agents for Streaming Applications
Explore IoTPy for building concurrent, non-terminating streaming applications in Python, leveraging existing libraries for data analysis and distributed systems.
Practical Optimisations for Pandas
Discover techniques for optimizing Pandas code, including bottleneck identification, computational efficiency, and memory management for improved performance in data processing tasks.
Radio Astronomy with Python
Explore radio astronomy using Python, focusing on redshift studies, galaxy distribution analysis, and machine learning techniques for processing large astronomical datasets.
Speed Up Your Data Processing
Explore parallel and asynchronous programming techniques to optimize data processing pipelines, enhancing efficiency in data science workflows and overcoming common bottlenecks.
Train, Serve, Deploy - Story of a NLP Model ft. PyTorch, Docker, Uwsgi and Nginx
Learn to build, train, and deploy NLP translation models using PyTorch, Flask, Docker, uWSGI, and Nginx. Covers data preprocessing, model training, web app creation, containerization, and production serving techniques.
Painless Machine Learning in Production
Discover strategies for efficient machine learning deployment, covering infrastructure, tooling, and best practices for managing the ML lifecycle in production environments.
Deploy Your Machine Learning Bots Like a Boss with CI/CD
Learn to deploy machine learning chatbots using CI/CD, covering load balancing, testing, and model retraining. Gain practical insights for taking prototypes to production and iterating faster.
Docker and Python - Making Them Play Nicely and Securely for Data Science and ML
Learn Docker best practices for data-intensive Python applications, covering image optimization, security, automation, and efficient deployment workflows in Data Science and Machine Learning contexts.
Detecting and Analyzing Solar Panels in Switzerland Using Aerial Imagery
Explore innovative techniques for detecting and analyzing solar panels in Switzerland using aerial imagery, enhancing renewable energy mapping and urban planning strategies.
Real Time Stream Processing for Machine Learning at Massive Scale
Practical insights on building scalable data streaming ML pipelines for real-time processing using Python, Kafka, SpaCy, and Seldon. Covers key concepts and best practices through a Reddit comment moderation case study.
IPython - The Productivity Booster
Discover IPython's power for rapid development, including magic commands, external processes, and integration with existing tools. Learn popular extensions and configuration hacks applicable to Jupyter.
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.
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.