Data Science with Julia - Hands-on Tutorial
Hands-on tutorial exploring Julia for data science, covering interactive analysis, visualization, and machine learning algorithms. Equips participants to apply Julia in their own projects.
Julia for Python Programmers
Hands-on introduction to Julia for scientific computing and data science, focusing on its efficiency and interactive capabilities for technical applications and scalable computing.
How Companies Think About Hiring - Insights from a Tech Lead
Insights into tech hiring processes, company culture, and interview strategies from a staff developer's perspective. Valuable advice for job seekers in the tech industry.
Streamlining Data Preparation with Pydantic - A 25-Minute Guide
Explore Pydantic's power in data validation and cleaning for Python projects. Learn to ensure consistency, handle missing values, and streamline data preparation in just 25 minutes.
Exploring Data Wrangler in VS Code - Python Data Science
Discover Data Wrangler in VS Code: Efficiently explore, analyze, and clean Airbnb listings data. Learn to invoke and use this powerful tool for streamlined data preprocessing in Python notebooks.
Data Science: The Bear Necessities - Exploring Koala Data with Python and Pandas
Explore koala data using Python, Pandas, and Matplotlib to create informative visualizations and gain insights into protecting these endangered Australian icons.
Breaking Data Silos with Semantic Link in Microsoft Fabric
Explore Semantic Link in Microsoft Fabric to break data silos, enabling seamless collaboration between data scientists and analysts for creating insightful solutions and leveraging semantic information.
Simplifying Data Analysis and Visualization with Developer Tools and AI
Explore data analysis and visualization using AI-assisted tools. Learn to leverage GitHub, Jupyter, Copilot, and LIDA for efficient insights and visualizations, even without extensive Python experience.
Solving Real-World Data Science Problems with LLMs - Historical Document Analysis
Learn to analyze historical documents using Python and LLMs. Covers entity parsing, document connection, and data insights extraction. Practical application with Freedmen's Bureau dataset and both closed and open-source LLMs.
How to Reach 100k+ People with Code and Content - Developer Advocacy and Growth Strategies
Insights from a developer advocate on content creation, career growth, and leveraging social media. Learn about Docker, DevRel, and strategies for personal and professional development in tech.
Data Science: Complete Roadmap to Become a Data Scientist
Comprehensive roadmap to becoming a data scientist, covering essential skills, tools, and resources. Includes job prospects, learning strategies, and recommended books for career advancement.
Tech Recruiting Academy - How to Recruit a Python Developer
Learn effective strategies for identifying, attracting, and evaluating Python developers. Gain insights into the Python ecosystem and essential skills for successful tech recruitment.
TDA for Chromatic Point Clouds
Generalizace persistentní homologie pro barevné bodové mraky. Detekce prostorových interakcí mezi různými typy bodů s aplikacemi v biologii a medicíně.
PyScript for Data Science: Writing Python in the Browser
Explore PyScript's potential for data scientists to write Python in browsers, revolutionizing web development and enhancing data science workflows.
Deploying Generative AI Models - Best Practices and Interactive Example
Explore best practices for deploying generative AI models at scale, with an interactive example using UbiOps for serverless and cloud-agnostic implementation.
Pandas 2, Dask or Polars? Quickly Tackling Larger Data on a Single Machine
Explore Pandas 2, Dask, and Polars for efficient large data processing on a single machine. Compare features, performance, and ecosystem compatibility to choose the best tool for your research workflow.
Power Query in 20 Minutes - How it Works
Explore Power Query's internals and gain a deeper understanding of this increasingly prevalent tool in Power BI and Fabric technologies.
Batch and Stream Analysis with TypeScript Using Apache Beam
Explore batch and stream analysis using Beam's Typescript SDK. Learn API choices, usability, and functionality through demos. Discover how to leverage Typescript for efficient data processing workflows.
Apache Arrow DataFusion: Vectorized Execution Framework for Maximum Performance
Explore Apache Arrow DataFusion's architecture, extension capabilities, and use cases for high-performance data processing and query execution using vectorized execution and Rust implementation.
Apache Arrow DataFusion - A Fast, Embeddable, Modular Analytic Query Engine
Explore Apache Arrow DataFusion's fast, embeddable, and modular analytic query engine capabilities with insights from expert Andrew Lamb.
Establishing a Code of Conduct and Response Team for Global Open Source Projects
Learn to implement and enforce a code of conduct for global open source projects, including creating a response team and aligning with open source values.