0.1.0

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.

What's Changed

• Simple navigation set-up by @JakobKlotz in #1
• CI + Docs by @JakobKlotz in #2
• Motivation section for the Python Crash Course by @JakobKlotz in #3
• Added Part Statistics Univariat by @manuf3006 in #4
• [Python Crash Course] Sections on Python and VSCode installation by @JakobKlotz in #5
• [Python Crash Course] Variables, Types, Comparisons & Logical Operators by @JakobKlotz in #8
• New Chapter Statistics Bivariat by @manuf3006 in #10
• [Python Crash Course] Containers (list, dict, tuple) by @JakobKlotz in #11
• Added chapter regression by @manuf3006 in #15
• [Python Crash Course] Control structures by @JakobKlotz in #16
• [Python Crash Course] Functions by @JakobKlotz in #18
• Chapter parameter by @manuf3006 in #20
• [Python Crash Course] Package & virtual environment management by @JakobKlotz in #19
• Restructur statistics part by @manuf3006 in #21
• [Python Crash Course] pandas introduction by @JakobKlotz in #22
• [Python Crash Course] Consistently style output blocks by @JakobKlotz in #23
• [Python Crash Course] Improvements to the pandas section by @JakobKlotz in #26
• Chapter probability by @manuf3006 in #24
• [Python Crash Course] Slight style changes + more GIFs by @JakobKlotz in #27
• [Chapter: databasics] by @manuf3006 in #28
• [Python Crash Course] Cover PATH issues by @JakobKlotz in #29
• [Statistics Chapter] Minor Adoptions (Code Snippets, Box Labelings) by @manuf3006 in #30
• [Python Crash Course] Incorporate suggestions from Christina by @JakobKlotz in #31
• Chapter Sampling by @manuf3006 in #32
• [Python Crash Course] Incorporate remaining suggestions from Christina by @JakobKlotz in #34
• [Statistics] New chapter LLN by @manuf3006 in #33
• [Statistics] Chapter CLT by @manuf3006 in #35
• [Statistics] Chapter hypothesis basics by @manuf3006 in #36
• Dependency updates by @JakobKlotz in #38
• [Statistics] Added Chapter T-Test and Adjusted the overall Landing Page by @manuf3006 in #39
• License by @JakobKlotz in #41
• [Statistics] Added part Confidence Interval by @manuf3006 in #42
• [Python Crash Course] Fixes (stemming from the first session) by @JakobKlotz in #43
• Render example box (Statistics) by @JakobKlotz in #44
• [Statistics] Chapter anova by @manuf3006 in #45
• Prepare for release by @JakobKlotz in #46

New Contributors

• @JakobKlotz made their first contribution in #1
• @manuf3006 made their first contribution in #4

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