Python for data science
NumPy-first mental models, tidy pandas workflows, visualization discipline.
Lesson outline
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25
Datetime Data in Pandas
Learn to work with datetime data in pandas — parsing, resampling, filtering, and time-based operations. Hands-on examples and troubleshooting for data science workflows.
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26
Python for data science — Part 015
Placeholder slot — edit in console (python-data-science-stub-015).
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27
Summary Statistics in Python
Create summary statistics quickly in Python for data science. Use pandas and NumPy to compute mean, median, mode, and more. Practical examples, pitfalls, and next steps for your data analysis workflow.
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28
Python for data science — Part 016
Placeholder slot — edit in console (python-data-science-stub-016).
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29
Visualize Data with Matplotlib
Learn matplotlib basics for data visualization in Python. Step-by-step tutorial covering core concepts, hands-on exercises, troubleshooting, and next steps for data science.
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30
Python for data science — Part 017
Placeholder slot — edit in console (python-data-science-stub-017).
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31
Line and Bar Charts in pandas
Learn to build line and bar charts in pandas with this hands-on tutorial. Master plot() basics, customization, and common pitfalls. Ideal for data science beginners.
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32
Python for data science — Part 018
Placeholder slot — edit in console (python-data-science-stub-018).
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33
Customize Plot Labels and Legends
Learn to customize plot labels and legends in Python for data science. This hands-on tutorial covers core concepts, step-by-step implementation, troubleshooting, and what to study next.
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34
Python for data science — Part 019
Placeholder slot — edit in console (python-data-science-stub-019).
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35
Plot Histograms and Box Plots
Learn to create histograms and box plots in Python for data science. This lesson covers the core concepts, step-by-step instructions, hands-on coding exercises, and troubleshooting tips.
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36
Python for data science — Part 020
Placeholder slot — edit in console (python-data-science-stub-020).
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.