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Learn Test-Driven Development in Python by implementing Caesar's Cipher. Practice unit testing, follow TDD principles, and participate in a coding challenge to reinforce your new skills.
Build a stylish GUI for image classification using Taipy and TensorFlow. Learn to process images, create neural networks, and design user-friendly interfaces for machine learning applications.
Build a Flask web app with SQLite, HTML, CSS, and JavaScript. Learn database integration, templating, styling, and client-side interactions. Deploy your app to production using Wayscript.
Learn to create a simple Twitter bot using Python and Selenium. Explore web automation techniques, HTML basics, and ethical considerations while building a retweet bot with customizable features.
Learn to build a text-to-image AI app using Stable Diffusion, Docker, and Flask. Create high-res images from text prompts, explore Docker Init, CUDA, FreeU, and more in this beginner-friendly Python tutorial.
Explore NVIDIA NIM platform to create a Llama 3.1 Powered Application. Learn about microservices, APIs, and build a custom Dataset Maker App using Python, suitable for beginners and professionals alike.
Master practical machine learning with Scikit-Learn through a step-by-step tutorial covering data loading, model training, optimization techniques, and evaluation metrics using the California Housing dataset.
Master the process of building and deploying a web app using Flask, Docker Swarm, and VPS hosting with zero downtime updates. Learn to customize templates, set up production servers, and manage secure deployments.
Discover how to accelerate Scikit-learn with NVIDIA cuML GPU powers, comparing CPU vs GPU performance on large datasets with zero code changes. Learn setup on Google Colab and local systems with real-world benchmarks.
Master building a data science dashboard that predicts stock values using Taipy, incorporating multiple algorithms like Linear Regression, KNN, and RNN to analyze S&P 500 data and visualize future market trends.
Master LoRA fine-tuning to customize pre-trained LLMs with your own data using Hugging Face Transformers, PEFT, and Python in this hands-on coding tutorial.
Build a complete AI assistant with memory using Docker, Streamlit, and LangChain. Switch between local and cloud models while maintaining conversation history across sessions.
Master the process of creating and publishing your own Python library on PyPI, from setting up project files to deploying modules that others can easily install and import using pip.
Master high-performance data analysis with Polars, exploring GPU acceleration, lazy evaluation, and advanced querying techniques for processing massive datasets efficiently in Python.
Master web scraping techniques using Playwright, from basic automation to advanced CAPTCHA bypassing. Learn essential commands, selectors, and tools to create undetectable bots for efficient data extraction.
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