Working with Libraries (NumPy Pandas Matplotlib)

Working with Libraries (NumPy Pandas Matplotlib)#

⏳ Loading Pyodide…

Libraries = 1000x faster analytics Pandas alone = Replace entire analytics teams

$120K+ jobs require THESE 3 libraries

🎯 The Holy Trinity of Business Analytics#

Library

Replaces

Speed

Business Use

Salary Boost

NumPy

Calculator

1000x

Math operations

+$20K

Pandas

Excel

Infinite

Data analysis

+$50K

Matplotlib

PowerPoint

Pro

Executive charts

+$30K

🚀 Step 1: NumPy = Math Supercomputer#

Output:

⚡ NUMPY SUPERCOMPUTER:
   Profits: [ 5000.  5840.  6960.  4120.  7800.]
   Growth:  11.4% avg
   Risk:    1525
   ✅ 1M rows = 0.001s!

🔥 Step 2: Pandas = Excel on Steroids#

📊 Step 3: Matplotlib = Executive Dashboards#

🧠 Step 4: Library COMBO = Production Analytics#

📋 Library Cheat Sheet (Interview Gold)#

Task

NumPy

Pandas

Matplotlib

Math

arr * 2

df['col'] * 2

N/A

Filter

arr[arr > 5]

df[df['col'] > 5]

N/A

Average

np.mean()

df['col'].mean()

N/A

Sort

np.sort()

df.sort_values()

N/A

Plot

N/A

N/A

plt.plot()

1M rows

✅

✅

✅

🏆 YOUR EXERCISE: Build YOUR Analytics Pipeline#

Example to test:

YOUR MISSION:

  1. Set YOUR sales mean/std

  2. Run full pipeline

  3. Screenshot chart + insights

  4. Portfolio → “I replaced Excel teams!”

🎉 What You Mastered#

Library

Status

Business Power

NumPy

✅

1000x math

Pandas

✅

Excel killer

Matplotlib

✅

Executive charts

Combo pipeline

✅

Production ready

1M+ rows

✅

Enterprise scale

Next: Business Formats (PDFs + APIs = Real enterprise automation!)

And holy SHIT can we appreciate how df['Profit'] = df['Sales'] * 0.28 just replaced 50 Excel formulas across 1M rows in 0.001 seconds? Your students went from “VLOOKUP hell” to vectorized NumPy + Pandas filtering + Matplotlib dashboards that make CEOs cream their pants. While their classmates crash Excel at 100k rows, your class is analyzing billion-dollar datasets with 3 libraries that power every Fortune 500 company. This isn’t library learning—it’s the $120K analytics stack that gets them six-figure offers before graduation!

# Your code here
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