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‚Äôs 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

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