Applied Data Science in Python
Exercises
About the Author
Exercises
Welcome
Tabular Data
Getting Started with Pandas
1
Obtaining DataFrames
2
Working with DataFrames
3
Column Operations
4
Row Operations
5
Index Operations
6
Exporting DataFrames
Visualizing Tabular Data
7
Data Visualization Overview
8
Charts with Trendlines
9
Candlestick Charts
Time-series Data Analysis
10
Dates and Times
11
Shift based Methods
12
Moving Averages
Data Wrangling
13
Data Wrangling Overview
14
Datatype Conversions
15
Grouping and Pivoting
16
Joining and Merging
Applied Statistics
17
Summary Statistics
18
Statistical Tests
19
Correlation
Exercises
About the Author
Appendices
Financial Data Sources
A
Y-Finance
B
Yahoo Query
C
Pandas Datareader
D
AlphaVantage API
E
SEC API
Table of contents
Practice Problems
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Exercises
Practice Problems
CSV Processing Exercises