Python End to end Data Analysis

python

数据分析

需积分: 17 13 下载量 172 浏览量更新于2023-03-16 评论收藏 28.65MB PDF 举报

身份认证购VIP最低享 7 折!

领优惠券(最高得80元）

试读

1501页

Python End to end Data Analysis 英文版英文版英文版，重要的事情说三遍；还有个副标题 leaning path；数据分析Python的完整路径

资源详情

资源评论

资源推荐

Python: End-to-end Data Analysis

Download from finelybook www.finelybook.com

Table of Contents
Python: End-to-end Data Analysis
Python: End-to-end Data Analysis
Credits
Preface
What this learning path covers
What you need for this learning path
Who this learning path is for
Reader feedback
Customer support
Downloading the example code
Errata
Piracy
Questions
1. Module 1
1. Introducing Data Analysis and Libraries
Data analysis and processing
An overview of the libraries in data analysis
Python libraries in data analysis
NumPy
Pandas
Matplotlib
PyMongo
The scikit-learn library
Summary
2. NumPy Arrays and Vectorized Computation
NumPy arrays
Data types
Array creation
Indexing and slicing
Fancy indexing
Numerical operations on arrays
Array functions
Data processing using arrays
Loading and saving data
Download from finelybook www.finelybook.com
3

Saving an array
Loading an array
Linear algebra with NumPy
NumPy random numbers
Summary
3. Data Analysis with Pandas
An overview of the Pandas package
The Pandas data structure
Series
The DataFrame
The essential basic functionality
Reindexing and altering labels
Head and tail
Binary operations
Functional statistics
Function application
Sorting
Indexing and selecting data
Computational tools
Working with missing data
Advanced uses of Pandas for data analysis
Hierarchical indexing
The Panel data
Summary
4. Data Visualization
The matplotlib API primer
Line properties
Figures and subplots
Exploring plot types
Scatter plots
Bar plots
Contour plots
Histogram plots
Legends and annotations
Plotting functions with Pandas
Additional Python data visualization tools
Bokeh
Download from finelybook www.finelybook.com
4

MayaVi
Summary
5. Time Series
Time series primer
Working with date and time objects
Resampling time series
Downsampling time series data
Upsampling time series data
Time zone handling
Timedeltas
Time series plotting
Summary
6. Interacting with Databases
Interacting with data in text format
Reading data from text format
Writing data to text format
Interacting with data in binary format
HDF5
Interacting with data in MongoDB
Interacting with data in Redis
The simple value
List
Set
Ordered set
Summary
7. Data Analysis Application Examples
Data munging
Cleaning data
Filtering
Merging data
Reshaping data
Data aggregation
Grouping data
Summary
8. Machine Learning Models with scikit-learn
An overview of machine learning models
The scikit-learn modules for different models
Download from finelybook www.finelybook.com
5