Elm Basics
Learn Elm fundamentals: installation, tools, REPL, program structure, data handling, and building a working application. Gain practical skills for functional programming in Elm.
How to Build a Chat App with React and Stream
Learn to build a robust chat application using React and Stream Chat API, covering server setup, authentication, and customizing features like channel lists and conversations.
Build and Deploy a Full Stack MERN Application With CRUD, Auth, and Charts Using Refine
Develop a full-stack MERN dashboard with CRUD, authentication, and advanced features. Learn Material UI, TypeScript, and optimize performance using refine framework.
Create Your Own Scalable Dropbox Clone With Object Storage
Learn to build a scalable Dropbox-like website using Node.js and Linode's Object Storage. Step-by-step guide covers server setup, file operations, UI creation, and styling for a powerful, affordable file storage solution.
Learning Emacs Lisp
Dive into Emacs Lisp programming, covering types, functions, variables, buffers, file management, and custom minor modes for enhanced Emacs customization and automation.
Scheme
Learn the fundamentals of Scheme, covering pairs, lists, closures, recursion, quotation, lambda, and macros in this comprehensive programming introduction.
Structure and Interpretation of Computer Programs
Comprehensive exploration of computer programming concepts, covering data structures, abstraction, recursion, interpreters, and more. Ideal for deepening understanding of programming fundamentals.
Fall 2017
Explore AI, ML, NLP, and Lisp through comprehensive lectures covering semantic spaces, classification, language models, and parsing techniques for advanced computational linguistics.
Common Lisp
Learn Common Lisp through hands-on tutorials, covering setup, basic projects, advanced concepts like macros and functional programming, and culminating in a Turing Machine project.
JavaScript Tutorials
Comprehensive exploration of JavaScript arrays, covering properties, methods, and manipulation techniques for effective data handling and processing.
Programming Terms
Explore essential programming concepts like closures, first-class functions, and memoization. Gain a deeper understanding of key terminology to enhance your coding skills and software development knowledge.
Setting Up a Python Environment
Comprehensive guide to setting up Python development environments across various text editors and IDEs, covering installation, customization, and essential tools like pip and virtualenv.
Python Programming Beginner Tutorials
Comprehensive Python fundamentals covering installation, data types, control structures, functions, modules, and practical applications. Ideal for beginners seeking hands-on programming skills.
Python Interview Q-A
Comprehensive Python interview preparation with detailed explanations and practice questions, covering trending topics to enhance your coding skills and interview readiness.
Complete Numpy and Pandas
Master essential data science libraries: array operations, data manipulation, cleaning, and analysis techniques for efficient data handling and processing.
Pytest
Comprehensive introduction to pytest in Python, covering theory and hands-on practice. Learn features, advantages, test types, execution methods, and markers for effective unit testing.
Advanced Python - English
Comprehensive video series on advanced Python, covering object-oriented programming concepts, multithreading, and file operations through practical examples and clear explanations.
Pandas Library
Learn Python's Pandas library through hands-on tutorials. Covers data manipulation, analysis, and visualization techniques using real datasets. Ideal for beginners and intermediate users.
Numpy Library
Master NumPy: array creation, manipulation, indexing, slicing, arithmetic operations, and matrix functions for efficient data handling and scientific computing in Python.
Python for Beginners - English
Learn Python fundamentals including data types, loops, functions, OOP, file handling, and advanced concepts like inheritance, decorators, and polymorphism in this comprehensive beginner's guide.
Python Projects
Learn Python through hands-on projects: build apps, games, and tools while mastering practical programming skills and real-world applications.