Build Your Own AI Assistant Part 1 - Creating the Assistant
115007 Views
Is the new Raspberry Pi AI Kit better than Google Coral?
103855 Views
Control Arduino with Python using Firmata / PyFirmata
86426 Views
How to Map with LiDAR - using a Raspberry Pi Zero 2W, RPLidar and Rviz
55270 Views
Node-Red Automation, MQTT, NodeMCU & MicroPython
51306 Views
Creating a Supercomputer with a Raspberry Pi 5 Cluster and Docker Swarm!
50568 Views
Installing and Using DeepSeek-R1:1.5 on a Raspberry Pi with Docker
Gamepad & BurgerBot
Level Up your CAD Skills
Operation Pico
Raspberry Pi Home Hub
Hacky Temperature and Humidity Sensor
Using the Raspberry Pi Pico's Built-in Temperature Sensor
0h 24m
Getting Started with SQL
0h 32m
Introduction to the Linux Command Line on Raspberry Pi OS
0h 42m
How to install MicroPython
0h 8m
Wall Drawing Robot Tutorial
0h 22m
BrachioGraph Tutorial
0h 16m
Learn Linux from the basics to advanced topics.
Learn how to use a Raspberry Pi Pico
Learn MicroPython the best language for MicroControllers
Learn Docker, the leading containerization platform. Docker is used to build, ship, and run applications in a consistent and reliable manner, making it a popular choice for DevOps and cloud-native development.
Learn how to build SMARS robots, starting with the 3D Printing the model, Designing SMARS and Programming SMARS
Learn how to build robots, starting with the basics, then move on to learning Python and MicroPython for microcontrollers, finally learn how to make things with Fusion 360.
Learn Python, the most popular programming language in the world. Python is used in many different areas, including Web Development, Data Science, Machine Learning, Robotics and more.
Learn how to create robots in 3D, using Fusion 360 and FreeCAD. The models can be printed out using a 3d printer and then assembled into a physical robot.
Learn how to create Databases in Python, with SQLite3 and Redis.
KevsRobots Learning Platform
8% Percent Complete
By Kevin McAleer, 3 Minutes
Welcome to the Data Manipulation with Pandas and NumPy course! In this course, you will explore how to handle and analyze data efficiently in Python using the powerful libraries Pandas and NumPy. You’ll learn about different data structures, how to manipulate and process data, and how to import/export data in various formats.
Data Manipulation with Pandas and NumPy
This course is divided into the following lessons:
After completing this course, you will be able to:
To follow along with this course, you will need:
Each lesson is structured to provide a comprehensive guide on different aspects of data manipulation with Pandas and NumPy. Concepts are explained in a step-by-step manner, accompanied by examples and practical exercises.
New terms and concepts are highlighted and explained in detail, like DataFrame and Series.
DataFrame
Series
Important tips and notes are provided in highlighted sections like below:
Pro Tip Useful tips and best practices are shared in sections like this
Useful tips and best practices are shared in sections like this
Caution Key points to be cautious about are highlighted in different colored sections
Key points to be cautious about are highlighted in different colored sections
This course is designed to be interactive and hands-on. We encourage you to practice the examples and exercises provided in each lesson. If you have any questions or need assistance, please reach out through the comments section or contact us directly. Let’s dive into the world of data manipulation with Python!
Next >