Python Tutorial About the Tutorial Today, Python is one of the most popular programming languages. Although it is a general- purpose language, it is used in various areas of applications such as Machine Learning, Artificial Intelligence, web development, IoT, and more. This Python tutorial is ...
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Teaching Introduction to Python Programming Learn more View all PD Courses Mini Online PD Courses Teachers can level up their computer science education knowledge over a week or even a weekend with these mini PD courses. The time commitment to complete a mini PD course is roughly 5 hours. Pro...
(1) GitHub – ingolemo/python-lenses: A python lens library for manipulating ….https://github.com/ingolemo/python-lenses. (2) Functional Programming HOWTO — Python 3.12.6 documentation.https://docs.python.org/3/howto/functional.html. (3) Functional Programming in Python: When and How to...
skills to the advance level. Raspberry Pi Robotics is ideal for those who are inquisitive in exploring the possibilities of IoT using Raspberry Pi 2. The course assumes basic knowledge of computer hardware and software. However, knowledge of Python programming will help you in getting up to ...
An introductory course on data science with Python! Course Overview Request Quote MicroPython 101 Grades 7+ • Advanced • 14 Lessons • 86 Activities An advanced introduction to micro:bit programming using MicroPython. Course Overview Request Quote ...
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MakeCode for the micro:bit Engage in making and physical computing with the micro:bit – a small programmable device with lights, buttons and sensors. Even if you do don’t have a micro:bit at home, you can use MakeCode with the simulator. ...
So a few days ago, I posted about a game which Anum had made about 'Ocean Cleanup' using concepts learnt from coding and game development by Edvon : Robotics Community. We submitted that game for a competition and Anum was lucky enough to grab 2nd position and won a microbit & buggy...
also, right now the server launches a separate Docker process for every incoming (non-Python) request, which is probably super-wasteful; a potentially more efficient solution is to have a persistent microservice server running inside of a long-running Docker container for each individual language ...