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Comprehensive workshop on building HR tools using data science, covering Python basics, class creation, and practical applications for industry professionals.
Learn hands-on web scraping techniques using BeautifulSoup, including script tag extraction with regex and simple class selector methods for efficient data extraction and automation.
Explore LangChain with GPT-2 and HuggingFace for AI development without OpenAI costs. Learn to integrate cutting-edge LLMs, text embeddings, and vector stores for innovative applications.
Learn to build and train a PyTorch neural network for image classification, achieving 85% accuracy on Fashion MNIST. Covers data preparation, network architecture, loss functions, optimization, and model visualization.
Discover Taskwarrior's powerful features for enhanced productivity: terminal-based management, customization, filtering, syncing, reporting, date handling, contexts, and extensibility. Boost organization and efficiency with this free, open-source tool.
Explore PyTorch's data handling tools: Datasets, DataLoaders, and Transforms. Learn to prepare, visualize, and optimize data for GPU-accelerated deep learning using Fashion-MNIST dataset.
Explore tensor initialization, GPU usage, operations, memory sharing, and profiling in PyTorch for efficient deep learning model development.
Learn to configure and manage multiple Docker containers using Docker Compose v2, focusing on a WordPress, MySQL, and PHPMyAdmin setup. Covers networks, bind mounts, port mapping, and volumes for seamless local development.
Comprehensive Docker tutorial covering image management, container operations, Dockerfile creation, and data persistence using volumes and bind mounts. Hands-on approach with practical examples.
Learn to perform high-performance SQL queries on pandas dataframes using DuckDB. Explore its features, interface with Python, and discover tools for efficient data analysis and manipulation.
Hands-on guide to setting up and using Elasticsearch and Kibana on Docker. Covers installation, configuration, data management, querying, visualization, and dashboard creation.
Learn to write user-friendly regex for web scraping, focusing on BeautifulSoup and Python. Discover techniques to make your regular expressions more readable and maintainable for team collaboration.
Master Altair's scales, axes, and legends for effective data visualization in Python. Learn to customize charts, enhance readability, and extract insights using advanced techniques and color encoding.
Learn to create a knowledge bot using PyScript's Fetch API and Wikimedia, enabling quick access to Wikipedia summaries for any topic or keyword.
Explore data preparation techniques in Altair for effective visualization, including aggregation, binning, time unit transforms, and filtering to shape and analyze your data effectively.
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