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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.
Hands-on Docker tutorial for beginners, covering containers, images, and Dockerfiles. Build a simple ML project using Huggingface Transformers and deploy to DockerHub.
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.
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 high-performance data analysis with Polars, exploring GPU acceleration, lazy evaluation, and advanced querying techniques for processing massive datasets efficiently in Python.
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.
Build a complete Flask web app with PostgreSQL database from scratch to deployment in just 20 minutes, creating dynamic user profiles and publishing live online.
Discover fundamental programming concepts from OOP and recursion to machine learning, cloud computing, and API development through practical Python examples.
Discover essential data science tools including Pandas, NumPy, Matplotlib, SQL, and machine learning through hands-on tutorials and real-world projects.
Discover Python programming fundamentals through hands-on tutorials covering installation, syntax, data types, functions, OOP, and NumPy for complete beginners.
Discover classes, objects, inheritance, and unit testing through visual examples with OpenCV, Pygame, and TDD workflows to master Python's object-oriented paradigm.
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.
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