Pandas
Optimizing Memory Usage with Pandas Categorical Data Types for Efficient Analysis
Free video lesson with a downloadable Jupyter notebook from the Pandas course.
- CoursePandas
- Video17 min
- FormatJupyter notebook · 2 code cells
Data
No separate download needed — the notebook creates or downloads everything it uses.
📓 Full notebook
Download .ipynb
from elevenlabs.client import ElevenLabs
import os
API_KEY = "YOUR_SECRET_HERE" # or replace with your key
VOICE_ID = "ozCzG76TxJU1hEp0JKDw" # your cloned voice id
client = ElevenLabs(api_key=API_KEY)
def narrate(text, output_file="narration.mp3"):
print("🧠 Generating narration...")
audio = client.text_to_speech.convert(
voice_id=VOICE_ID,
model_id="eleven_multilingual_v2",
text=text
)
# Save the audio file
with open(output_file, "wb") as f:
for chunk in audio:
f.write(chunk)
print(f"🎧 Narration saved as: {output_file}")
# Example usage
if __name__ == "__main__":
script = """
Welcome to Mastering Python Lists - From Basics to Advanced Techniques!
In this lesson, we will explore all the essential Python list operations with real-world examples.
By the end, you will be comfortable working with lists for a wide range of everyday tasks.
"""
narrate(script)
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