--- title: Time Table - Note short_desc: tags: - Note - Vorlesung - Uni - Work timestamp: 24.09.2025 - 11:51 path: public: true update: true editor: markdown uuid: "1758707464213" feature: thumbnails/external/89b30361e78c63dafa937dce92b1f550.svg --- ![ifn-logo](https://www.tu-braunschweig.de/fileadmin/Logos_Einrichtungen/Institute_FK5/logo_IFN.svg) # Time Table **Every Friday from 15-16.30h** | Datum | Thema | | ------------------------------------------------------------------------------------ | ----------------------------------------------------------------------------------------------------------------------- | | [[24.10.2025]] | Organisation | | 31.10.2025 | entfällt | | [[07.11.2025]] | Tutorial 1 - Printing, Datatypes & Variables, Sequentials, Functions, Conditionals, Conditional Loops, Sequential Loops | | [[14.11.2025]] | Tutorial 2 - Hash Tables, Error Handling, System Interactions, Modularization, Dataclasses | | [[Documents/Arbeit/IFN/Programmieren WiSe 25 26/Vorlesungen/21.11.2025\|21.11.2025]] | Extended Applications - Functions, Generators, Dataclasses, Built-In Modules, Syntax Styling PEP8, Working with AI | | [[Documents/Arbeit/IFN/Programmieren WiSe 25 26/Vorlesungen/28.11.2025\|28.11.2025]] | Matplotlib - Plotting basics
NumPy - Multidimensional Arrays, Random Numbers, Efficient Computing | | [[05.12.2025]] | SciPy - Distributions, Generating & Sampling Data | | [[12.12.2025]] | Simulation - Monte Carlo, Generating Data | | [[19.12.2025]] | Pandas - Dataframes, Series, Dataclasses | | 26.12.2025 | entfällt | | 02.01.2026 | entfällt | | [[09.01.2026]] | Statistical Test Methods - T-Test, Correlations | | [[16.01.2026]] | Data Analysis - Demo Project | | [[23.01.2026]] | Folium - Maps, Markers, HTML | | [[30.01.2026]] | Data Analysis - Demo Project | | [[06.02.2026]] | Projects | | 19.02.2026 | Prüfung (Termin unter vorbehalt) | | 20.02.2026 | Prüfung (Termin unter vorbehalt) | --- Ideen: - Stock Market Simulation (Animal Crossing) - Gini Index 938-828 791-748 ```python from matplotlib.patches import Patch colors = ['#0095D9','#F7EC59','#CBBE4A'] # Color Picker helps plt.pie( [0.8, 0.15, 0.05], # Try and Error ratios colors=colors, startangle=-55 ) plt.legend( labels=["Sky", "Sunny side of pyramid", "Shady side of pyramid"], # Set right color and size for Patches handles=[Patch(facecolor=color) for color in colors], handlelength=1, handleheight=1, # Move Legend to the right loc="center left", bbox_to_anchor=(1, 0.5), fontsize=16, # Disable background and edge facecolor='none', edgecolor='none' ) plt.tight_layout() # Layout shouldnt Overflow plt.show() ```