Getting Started with Python for Data Science
Learn how to use Python for data science with steps for setting up your environment, analyzing data, visualizing insights, and building machine learning models.
The Future, Built by Students.
Learn how to use Python for data science with steps for setting up your environment, analyzing data, visualizing insights, and building machine learning models.
Learn to build web applications with Node.js and Express, including setup, routing, middleware, and creating a simple server.
Get started with cloud computing using AWS by setting up an EC2 instance and running a web server.
Explore blockchain technology, its core concepts, features, use cases, and how to start developing with tools like Solidity.
Learn to build cross-platform mobile apps with React Native, including setup, creating a basic UI, and adding navigation.
Get started with TensorFlow for machine learning by building and training a simple neural network for digit classification.
Learn how to secure APIs using JSON Web Tokens (JWT) in Node.js, including token generation and verification.
Discover GraphQL for building flexible APIs with Apollo Server, including schema definition, queries, and mutations.
Learn how to automate server tasks with Ansible, including installation, inventory setup, and writing playbooks.
Learn to containerize applications with Docker, including creating a Dockerfile and running a Node.js app.