Python3 Data Science Introduction and combat

The 1th chapter constructs the experiment environment
1-1 guided Video
1-2 Anaconda and Jupyter Notebook introduction
1-3 Anaconda installation demo on Mac
1-4 Anaconda Installing the demo on Windows
1-5 Anaconda installation demo on Linux
Use of 1-6 Jupyter-notebook demo
2nd Chapter NumPy Introduction
2-1 Data Science field 5 common Python libraries
2-2 matrix operations for the review of Mathematical fundamentals
2-3 Array creation and access
2-4 Array and matrix operations
Input and output of the 2-5 array
3rd Chapter Pandas Introduction
3-1 Pandas Series
3-2 Pandas DataFrame
3-3 in-depth understanding of series and Dataframe
3-4 Pandas-dataframe-io operation
3-5 Dataframe's Selecting and indexing
3-6 series and Dataframe's reindexing
3-7 Talk about Nan
3-8 Multilevel Index
3-9 Mapping and replace
4th Chapter Pandas Play data
Simple mathematical calculation of 4-1 dataframe
Sorting of 4-2 series and Dataframe
4-3 renaming the index of the Dataframe
4-4 Dataframe's merge operation
4-5 concatenate and combine
4-6 data preprocessing via apply
4-7 Data Cleansing by deduplication
4-8 Time Series Operations Basics
4-9 sampling and drawing of time series data
4-10 Data sub-box technology binning
4-11 Data grouping Technology GroupBy
4-12 Data Aggregation Technology aggregation
4-13 pivot Table
4-14 grouping and perspective function combat
4-15 Streaming DataFrame
The 5th chapter of the Matplotlib of cartography and visualization
5-1 matplotlib Introduction
Plot of 5-2 Matplotlib simple plot
The subplot of 5-3 matplotlib simple drawing
5-4 Pandas Drawing Series
The dataframe of 5-5 pandas drawing
5-6 Histogram and density graphs
The 6th chapter of the Seaborn of cartography and visualization
6-1 Seaborn Introduction
6-2 Seaborn for histogram and density graphs
6-3 Seaborn for histogram and heat force diagram
6-4 Seaborn Graphical Display effect settings
6-5 Seaborn Powerful tinting function
The 7th Chapter Data Analysis Project actual combat
7-1 Combat Readiness
7-2 data acquisition in the stock market analysis
Analysis on the historical trend of 7-3 stock market analysis
7-4 risk analysis of the stock market analysis
The 8th chapter of the course summary
8-1 Summary

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Python3 Data Science Introduction and combat