Python:

• Python is a high-level programming language which is made to easy read and very simple to use.
• Python is an open source language which means it is free to use. Python is used for Game development.
• Python is used for Artificial Intelligence and machine learning also used as Data analytics.
• Python is also used for commercial applications.
• Python can run on Mac, Unix system and Windows.

Benefits of Python:

• Python is used as learning ease and support available language

• It is like an extensive support libraries

• It is like an extensive support libraries

• It is like an extensive support libraries

• It is like an extensive support libraries

• Productivity and Speed

From this book you will learn these interesting topics in detail:

• Data Structures and Algorithms
• Unpacking a Sequence into Separate Variables
• Sorting a List of Dictionaries by a Common Key
• Sorting Objects Without Native Comparison Support
• Grouping Records Together Based on a Field
• Filtering Sequence Elements
• Extracting a Subset of a Dictionary
• Mapping Names to sequence Elements
• Transforming and reducing data at the same time
• Combining multiple mappings into a single mapping
• Specifying a regular expression for the shortest match
• Writing a regular expression for multiline patterns
• Normalizing Unicode text to a standard representation
• Working with Infinity
• Calculating with Fractions
• Calculating with Large Numerical Arrays
• Performing Matrix and Linear Algebra Calculations
• Converting Days to Seconds, and Other Basic Time Conversions
• Determining Last Friday’s Date
• Finding the Date Range for the Current Month
• Reading and Writing Text Data
• Printing to a file
• Printing with a different separator
• Reading and Writing Binary Data
• Performing I/O Operations on a String
• Reading and Writing Compressed Datafiles
• Iterating Over Fixed-Sized Records
• Reading and writing CSV data
• Reading and writing JSON data
• Parsing simple XML data
• Parsing Huge XML Files incrementally
• Writing functions that accept any number of arguments
• Writing Functions That Only Accept keyword arguments
• Attaching informational metadata to function arguments
• Returning multiple values from a function
• Defining functions with default arguments
• Defining anonymous
• Capturing variables in anonymous functions
• Changing the string representation of instances
• Customizing string formatting
• Making objects support the context-management protocol
• Saving memory when creating a large number of instances
• Encapsulating names in a class
• Creating managed attributes
• Calling a method on a parent class