Python
Learn Python fundamentals, virtual environments with pipenv, and gain practical skills through hands-on tutorials and a crash course for beginners.
Algorithms
Learn efficient sorting techniques with hands-on implementations in Java, Python, and JavaScript. Master Bubble Sort and Selection Sort algorithms to enhance your programming skills.
Python for Beginners - Python Tutorial
Learn Python basics and build a CV generator program. Covers functions, loops, classes, and working with Word documents. Includes hands-on exercises and text-to-speech integration.
Python Full Course
Comprehensive Python tutorial covering fundamentals to advanced topics. Learn syntax, data structures, control flow, functions, OOP, file handling, and web interactions. Ideal for beginners seeking practical skills.
A Second Course in Differential Equations
Explore advanced topics in ordinary differential equations, including linear systems, eigenvalues, numerical methods, and Python implementations for solving complex ODEs.
Learn Statistics with Python
Master Python for statistical analysis: design matrices, linear models, F distribution, and OLS. Hands-on tutorials using Orange and Patsy libraries for practical data science skills.
Learning Medical Statistics with Python and Jupyter Notebooks
Learn medical statistics using Python and Jupyter notebooks. Covers common tests, data analysis, and visualization techniques. Ideal for healthcare professionals seeking practical skills in statistical analysis.
Modern Linear Algebra Using Python Instead of a Textbook
Explore linear algebra concepts through hands-on Python programming, covering matrix operations, decompositions, and applications in machine learning and data analysis.
Web Scraping and Covid 19
Learn web scraping techniques to gather COVID-19 data, with practical examples and ethical considerations for responsible data collection and analysis.
Python 3
Comprehensive Python 3 video series covering basics to advanced topics, including data structures, functions, file handling, OOP, decorators, threading, and networking.
Learn Python the Hard Way
Comprehensive video series covering Python basics through hands-on exercises, from setup to advanced concepts like functions, file handling, and loops. Perfect for beginners seeking a structured learning approach.
Getting Ready to Learn Python, Mac Edition
Prepare your Mac for Python programming: navigate files, use command line, create text files, install Python, write and run programs, and download packages with pip.
Getting Ready to Learn Python, Windows Edition
Prepare your Windows environment for Python programming: learn file management, command prompt usage, text editing, Python installation, and essential tools like pip and git.
Intro to Python
Learn Python basics through hands-on projects: build a functional clock and timer while mastering fundamental programming concepts.
Python Tutorial for Beginners
Learn Python fundamentals, from installation to advanced concepts like classes and modules, through hands-on coding exercises and practical projects.
Web Scraping With Python
Learn to extract data from websites using Python, focusing on scraping search results from Ask.com as a practical example.
Django Projects
Learn to build diverse Django projects including a Bitcoin wallet, search engine, geolocation app, weather app, chat system, and social media platform. Covers deployment and database integration.
Django Tutorial for Beginners
Learn Django web framework basics, including URL mapping, templates, data handling, models, and database integration for building web applications.
Advanced Django Tutorials
Explore advanced Django concepts including dynamic routing, AJAX, pagination, REST API, email sending, and Docker integration for enhanced web development skills.
Building a GeoLocation App with Django
Learn to build a GeoLocation app with Django in under an hour with Code with Tomi. Source code available on Github.
Build a Blog with Django
Learn to build a blog with Django and Python in under an hour with Code with Tomi. Full source code available on Github.