Notes/Documents/Arbeit/IFN/Programmieren WiSe 25 26/Time Table.md

title, short_desc, tags, timestamp, path, public, update, editor, uuid, feature

title	short_desc	tags	timestamp	path	public	update	editor	uuid	feature
Time Table - Note		Note Vorlesung Uni Work	24.09.2025 - 11:51		true	true	markdown	1758707464213	thumbnails/external/89b30361e78c63dafa937dce92b1f550.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	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	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

# Plot
fig, ax = plt.subplots(figsize=(9,6))
ax.plot(norm_x, norm_height, color='r')

# filling under the curve
ax.fill_between(x_percentile, y_percentile, 0, alpha=.5, color='#fa0000')


# Set text
ax.text(0.4,0.18,
        f"80th percentile of Womens heigth\n fall under {avg_percentile:.1f}cm",
        ha='center', va='center', transform=ax.transAxes,
        bbox={'facecolor':'#fafafa','alpha':1,'edgecolor':'none','pad':1},
        color='#de2e0b'
    )

# Show
plt.title("Woman Height Normal Distribution")
plt.xlabel("Height")
plt.yticks([]) # hide y
plt.show()

\text{Birth Rate} = \frac{B}{P} * 1000