
Learn to create and use Python functions through practical exercises, covering function definition, return statements, and problem-solving techniques for beginners.

Hands-on tutorial exploring advanced NumPy concepts: broadcasting, strides, and indexing. Ideal for Python users familiar with array computing, taught by scikit-image core developer.

Build a wireless weather station using Raspberry Pi Pico W and BME280 sensor. Learn to program with MicroPython, connect hardware, and transmit real-time temperature, pressure, and humidity data to a web browser.

Introduction to the Raspberry Pi Pico microcontroller, covering MicroPython installation, LED control, and comparisons with Raspberry Pi Zero. Explores specifications and potential applications.

Enhance Raspberry Pi robot control using Pygame for keyboard input and PWM for motor speed, improving functionality and precision in robotics projects.

Comprehensive guide to Python's Requests module, covering installation, GET/POST requests, file handling, proxies, and web scraping. Ideal for developers seeking to master HTTP interactions in Python.

Explore Python lists: store, manipulate, and organize data collections. Learn essential methods for adding, removing, and managing list items. Includes hands-on coding and exercises.

Crash course on Python essentials for machine learning in robotics, covering Spyder IDE, variables, data structures, control flow, and NumPy for matrix operations.

Explore flat clustering with KMeans using Scikit-learn and Python. Learn to categorize unlabeled data into specified groups through hands-on coding and visualization techniques.

Explore autonomous driving simulation using Carla and Python. Learn to create virtual environments, control vehicles, and implement self-driving logic with open-source tools and APIs.

Learn data analysis with Python and Pandas through practical examples. This tutorial covers installation, datasets, reading data, and basic operations to help you start working with Pandas independently.

Explore Requests-HTML, a new Python library for HTML parsing, with practical examples and demonstrations of its key features and capabilities.

Learn to optimize Python code using Cython, bridging Python and C/C++ for enhanced performance. Explore setup, declarations, testing, and improvements in this practical tutorial.

Learn to build a Tic-Tac-Toe playing robot using Raspberry Pi Pico and MicroPython. Covers hardware setup, inverse kinematics, coding, and includes a demonstration of the finished project.

Learn to use Raspberry Pi Pico with 7-segment displays and shift registers. Covers 3D printing, MicroPython programming, and hardware integration for creating custom digital displays.

Learn to integrate Node-Red, MQTT, NodeMCU, and MicroPython for home automation. Explore building dashboards, connecting devices, and creating smart systems with practical demonstrations and expert guidance.

Comprehensive guide to Python dictionaries and sets, covering creation, manipulation, and advanced operations. Ideal for beginners looking to enhance their data structure skills.

Learn to build and deploy a Django REST Framework API on Linode, covering project setup, database configuration, API development, and deployment to a Linux server with a managed PostgreSQL database.

Learn to build a calculator app with Kivy framework in Python. Create a user-friendly Android application with basic arithmetic functions, suitable for beginners and those interested in mobile app development.

Comprehensive introduction to Python libraries for machine learning, covering NumPy, Pandas, and Seaborn. Includes practical implementations of algorithms and data visualization techniques.

Explore essential Python libraries for machine learning, including NumPy for numerical computation, Pandas for data manipulation, and Seaborn for visualization. Gain practical skills through demos and Q&A.