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Index
PYTHON FOR DATA ANALYSIS
A Step By Step Guide To Build Intelligent System Machine Learning, Scikit-Learn, Keras And Tensorflo
Table of Contents
INTRODUCTION
CHAPTER ONE
Stimulate the Flavor
CHAPTER TWO
2.1.1. Passing Argument
2.1.2 Interactive Mode
CHAPTER THREE
AN INFORMAL INTRODUCTION TO PYTHON
3.1.3 Lists
3.2 First Steps Towards Programming
CHAPTER FOUR
More Control Process Tools
4.2 for Statements
4.3 The range() Function
4.5 pass Statements
... pass
4.6 Defining Functions
4.6. Defining Functions
4.7 More on Defining Functions
4.7.1 Default Argument Values
4.7.2 Keyword Arguments
4.7.3 Arbitrary Argument Lists
4.7.5 Lambda Expressions
CHAPTER FIVE
5.1.1 Using lists in the stacks
5.2. The del statement
5.6 Looping Techniques
5.6. Looping Techniques
CHAPTER SIX
6.1 More on Modules
6.1.1 Executing modules as scripts
6.1.2 Search Modules Method
6.1. Read more about modules
6.2 Standard Module
6.3 The dir() Function
6.3. The dir() Function
CHAPTER SEVEN
INPUT AND OUTPUT
7.1. Fancier Output Formatting
7.1.1 Old string formatting
7.2 Reading and Writing Files
7.2.1 Methods of File Objects
7.2.2 Saving structured dаtа with JSON
CHAPTER EIGHT
8.1 Syntax Errors
8.2 Exceptions
8.3 Handling Exceptions
... break
... pass
8.3. Handling Exceptions
8.4 Raising Exceptions
... raise
8.5 User-defined Exceptions
8.5 Defining Clean-up Actions
8.7 Predefined Clean-up Actions
CHAPTER NINE
9.1 A Word About Namеs and Objеcts
9.2 Python Scopes and Namespaces
9.2.1 Scopes and Namespaces Example
9.3 A First Look at Classes
9.3.1 Class Definition Syntax
9.3.2 Class Objects
9.3.3 Instance Objects
9.3.5 Class and Instance Variables
9.4 Random Remarks
9.4. Random Remarks
9.5 Inheritance
9.5.1 Multiple Inheritance
9.6 Private Variables
9.7 Odds and Ends
9.8 Iterators
9.7. Odds and Ends
9.10. Generator Expressions
Conclusion
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