Introduction
Welcome
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What you should know
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NumPy, data science, and IMQAV
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Using the exercise files
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Install software
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1. Introduction to Notebooks
Introduction to Jupyter Notebook
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Launch Jupyter Notebook
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Notebook basics
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Markdown
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Markdown tables
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Beautiful mathematics typesetting
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2. Pandas Overview
Object creation
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Selection
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Assignment statements
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Missing data
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Operations
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Merge: concat, join, append
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Input and output
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Remote data access
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Grouping
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Categoricals
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Time series resampling
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3. Series
Create series
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Vectorized operations
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Date arithmetic
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4. Data Frames and Panels
Create data frames
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Select, add, and delete
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Indexing and selection
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NumPy universal functions
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Create panels
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5. Plotting
Inline plotting
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Figures and subplots
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Multiple lines in a single plot
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Tick marks, labels, and grids
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Plot annotations
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Data frame plots
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Ex_Files_Pandas_Data.zip
(578 KB)