更新时间：2021-07-15 17:16:18
cover
Title Page
Copyright
Hands-On Data Science and Python Machine Learning
Credits
About the Author
www.PacktPub.com
Why subscribe?
Customer Feedback
Preface
Who this book is for
Conventions
Reader feedback
Customer support
Downloading the example code
Downloading the color images of this book
Errata
Piracy
Questions
Getting Started
Installing Enthought Canopy
Giving the installation a test run
If you occasionally get problems opening your IPNYB files
Using and understanding IPython (Jupyter) Notebooks
Python basics - Part 1
Understanding Python code
Importing modules
Data structures
Experimenting with lists
Pre colon
Post colon
Negative syntax
Adding list to list
The append function
Complex data structures
Dereferencing a single element
The sort function
Reverse sort
Tuples
Dereferencing an element
List of tuples
Dictionaries
Iterating through entries
Python basics - Part 2
Functions in Python
Lambda functions - functional programming
Understanding boolean expressions
The if statement
The if-else loop
Looping
The while loop
Exploring activity
Running Python scripts
More options than just the IPython/Jupyter Notebook
Running Python scripts in command prompt
Using the Canopy IDE
Summary
Statistics and Probability Refresher and Python Practice
Types of data
Numerical data
Discrete data
Continuous data
Categorical data
Ordinal data
Mean median and mode
Mean
Median
The factor of outliers
Mode
Using mean median and mode in Python
Calculating mean using the NumPy package
Visualizing data using matplotlib
Calculating median using the NumPy package
Analyzing the effect of outliers
Calculating mode using the SciPy package
Some exercises
Standard deviation and variance
Variance
Measuring variance
Standard deviation
Identifying outliers with standard deviation
Population variance versus sample variance
The Mathematical explanation
Analyzing standard deviation and variance on a histogram
Using Python to compute standard deviation and variance
Try it yourself
Probability density function and probability mass function
The probability density function and probability mass functions
Probability density functions
Probability mass functions
Types of data distributions
Uniform distribution
Normal or Gaussian distribution
The exponential probability distribution or Power law
Binomial probability mass function
Poisson probability mass function
Percentiles and moments
Percentiles
Quartiles
Computing percentiles in Python
