We had a bit of an identity crisis. The result? A glow-up. 💅🏽

code-campus.at

First things first, we've moved. You can find us at our new address: code-campus.at.
Update your bookmarks. Or don't. Your loss. 🤷🏽‍♀️

A new vibe (and a light switch)

We updated the old look, changed a couple of colors and went to the drawing board (quite literally), all for a sleeker design.
For those of you who aren't vampires, we've added a light mode! 🤯

But don't get too comfortable, we're already refining the design further.

Contributors

@JakobKlotz @manuf3006

Here's what's new:

Content, content, content

We have been busy writing a ton of content and happily announce the addition of 3 whole new courses: 🚀

Python Extensive Course

Do you really want (or have) to get into Python? Just simply take the extensive course, a superset of our Python Crash Course. The basics are expanded with practical guides on plotting, data acquisition and graphical user interfaces.

Data Science (aka the guide to scikit-learn)

After having you fixed onto the Python programming language, we introduce you to the field of data science. You will learn about data preparation, preprocessing, concepts and algorithms. At some places we had to sprinkle in some theory. 😱 Fear not, everything is explained with code examples. At the end, we provide a step-by-step guide to a real world data science project, leaving you with a blueprint for your own projects!

Computer Vision

We got one more, computer vision! Learn how to use state of the art models, for image detection, segmentation and keypoint extraction. And it's not just images, we transfer the knowledge to analysing (even!) videos. At the end you will train your own model to solve real world tasks! 🏋️

Free & Open Source

All educational materials on our page can be followed without any prior knowledge - All you need is a computer, an internet connection, and curiosity. Get started ➡

Contributors

Not just our course offerings expanded, our team of authors did too...

@manuf3006 @JakobKlotz @verenitas @christinastampfer

Til the next release,

The MCI | WING [Python 🐍] Team

We're happy to announce the 0.1.0 release of the page, hosting course materials for various Python lectures. 🎉

The 0.1.0 release incorporates all lecture materials for the course Mathematics & IT.

Content

• Data Basics:
  • From data structures to attribute types and big data.
• Python Crash Course
  • Motivation and installation of Python including VSCode. The Crash Course covers basic types, containers control flow and functions.
    The course concludes with package management and an introduction to pandas.
• Statistics
  • Covers topics from frequency distributions, boxplots to correlation. It continues with sampling, the law of
    large numbers, central limit theorem and linear regression. All concepts are illustrated with code examples and plots.

Contributors

@JakobKlotz @manuf3006

Full Changelog: https://github.com/mciwing/mciwing.github.io/commits/0.1.0