Machine Learning Prague 2020 is a highly practical and insightful conference about ML, AI and Deep Learning applications that’ll take place in Prague at the end of March (March 20-22, 2020).
We at AI Energizer are media partners of the Machine Learning Prague Conference, thanks to this cooperation they kindly offered a free ticket to our followers! If you want to win a free ticket, follow the steps on the end of this LinkedIn article before March 4.
This article was originally published on freeCodeCamp, you can read the full article here.
In this article, I’d like to share with you the articles I found most interesting and insightful & inspiring last year and this year (so far). My other goal was to create a comprehensive list of the most valuable pieces for my Python students.
I bookmarked so many great resources that it was not easy to select the best ones. So I divided the article into 10 categories — this, by the way, resonates well with the versatile and multipurpose nature of Python.
I have over two decades of professional experience as a developer, I know a wide variety of frameworks and programming languages, and one of my favorites is Python. I’ve been teaching it for quite some time now, and according to my experience, establishing Python environments is a challenging topic.
Thus, my main motivation for writing this article was to help current and potential Python users to have a better understanding of how to manage such environments.
If you’ve opened this article, chances are that you already know what Python is, why it is a great tool, and you even have a Python installed on your computer.