Python for data science
NumPy-first mental models, tidy pandas workflows, visualization discipline.
Lesson outline
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1
Set Up Python for Data Science
Set up Python for data science with this hands-on tutorial. Learn the essential tools, step-by-step setup, troubleshooting, and what to study next.
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2
Python for data science — Part 001
Placeholder slot — edit in console (python-data-science-stub-001).
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3
Install Jupyter Notebook and pandas
Install Jupyter Notebook and pandas — Python for data science. Step-by-step setup for your data analysis environment.
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4
Python for data science — Part 002
Placeholder slot — edit in console (python-data-science-stub-002).
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5
Load Your First CSV with pandas
Load your first CSV with pandas — Python for data science tutorial, lesson 3.
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6
Python for data science — Part 003
Placeholder slot — edit in console (python-data-science-stub-003).
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7
Explore DataFrames with head and info
Explore DataFrames with head and info — Python for data science. Learn to inspect your data quickly with pandas' head() and info() methods, understand their output, and apply them in a hands-on exercise. Get troubleshooting tips and know what to study next.
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8
Python for data science — Part 004
Placeholder slot — edit in console (python-data-science-stub-004).
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9
Slice and Filter DataFrame Rows
Master slicing and filtering pandas DataFrame rows with practical steps, troubleshooting tips, and hands-on exercises. Perfect for the Python for data science track.
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10
Python for data science — Part 005
Placeholder slot — edit in console (python-data-science-stub-005).
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11
Select & Rename DataFrame Columns
Learn to select and rename columns in pandas DataFrames. Practical examples for Python data science.
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12
Python for data science — Part 006
Placeholder slot — edit in console (python-data-science-stub-006).
Python for data science — step-by-step tutorials
What you will find here
This track walks through python for data science in order — each lesson is server-rendered HTML you can read without JavaScript. Follow the outline, then practice in the browser IDE when a lesson links to runnable code.
Tutorials vs quizzes and code samples
Tutorials teach in sequence. For quick checks use quizzes. For copy-paste snippets see code samples. For deeper reading browse articles.