Python is an interpreted high-level programming language for general-purpose programming. Created by Guido van Rossum and first released in 1991, Python has a design philosophy that emphasizes code readability, and a syntax that allows programmers to express concepts in fewer lines of code.
Python is a general-purpose interpreted, interactive, object-oriented, and high-level programming language. Python has been one of the flexible, and powerful open-source language that is easy to learn, easy to use, and has powerful libraries.
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Python Training Content
Introduction to Python
- > What is Python?
- > Why Python?
- > Who Uses Python?
- > Characteristics of Python
- > History of Python
- > What is PSF?
- > Python Versions
- > How to Download Python
- > How to Install Python
- > Install Python with Diff IDEs
- > Features of Python
- > Limitations of Python
- > Python Applications
- > Creating Your First Python Program
- > Printing to the Screen
- > Reading Keyboard Input
- > Using Command Prompt and GUI or IDE
- > Python Distributions
Different Modes in PYTHON
- > Execute the Script
- > Interactive Mode
- > Script Mode
- > Python File Extensions
- > SETTING PATH IN Windows
- > Clear screen inside python
- > Learn Python Main Function
- > Python Comments
- > Quit the Python Shell
- > Shell as a Simple Calculator
- > Order of operations
- > Multiline Statements
- > Quotations in Python
- > Python Path Testing
- > Joining two lines
- > Python Implementation Alternatives
- > Python Sub Packages
- > Uses of Python in Data Science
- > USES OF PYTHON IN IOT
- > Working with Python in Unix/Linux/Windows/Mac/Android..!!
Variables in Python
- > What is Variable?
- > Variables in Python
- > Constants in Python
- > Variable and Value
- > Variable names
- > Mnemonic Variable Names
- > Values and Types
- > What Does “Type” Mean?
- > Multiple Assignment
- > Python different numerical types
- > Standard Data Types
- > Operators and Operands
- > Order of Operations
- > Swap variables
- > Python Mathematics
- > Type Conversion
- > Mutable Versus Immutable Objects
String Handling
- > What is string?
- > String operations
- > String indices
- > Basic String Operations
- > String Functions, Methods
- > Delete a string
- > String Multiplication and concatenation
- > Python Keywords
- > Python Identifiers
- > Python Literals
- > String Formatting Operator
- S> tructuring with indentation in Python
- > Built-in String Methods
- > Define Data Structure?
- > Data Structures in PYTHON
Python Operators and Operands
- > Arithmetic Operators
- > Relational Operators
- > Comparison Operators
- > Python Assignment Operators
- > Short hand Assignment Operators
- > Logical Operators or Bitwise Operators
- > Membership Operators
- > Identity Operators
- > Operator precedence
- > Evaluating Expressions
Python Conditional Statements:
- > How to use “if condition” in conditional structures
- > if statement (One-Way Decisions)
- > if .. else statement (Two-way Decisions)
- > How to use “else condition”
- > if .. elif .. else statement (Multi-way)
- > When “else condition” does not work
- > How to use “elif” condition
- > How to execute conditional statement with minimal code
- > Nested IF Statement
Python LOOPS
- > How to use “While Loop”
- > How to use “For Loop”
- >How to use For Loop for set of other things besides numbers
- > Break statements in For Loop
- > Continue statement in For Loop
- > Enumerate function for For Loop
- > Practical Example
- > How to use for loop to repeat the same statement over and again
- > Break, continue statements
Learning Python Strings
- > Accessing Values in Strings
- > Various String Operators
- > Some more examples
- > Python String replace() Method
- > Changing upper and lower case strings
- > Using “join” function for the string
- > Reversing String
- > Split Strings
Sequence or Collections in PYTHON
- > Strings
- > Unicode Strings
- > Lists
- > Tuples
- > buffers
- > xrange
Python Lists
- > Lists are mutable
- > Getting to Lists
- > List indices
- > Traversing a list
- > List operations
- > List slices
- > List methods
- > Map, filter and reduce
- > Deleting elements
- > Lists and strings
Python TUPLE
- > Advantages of Tuple over List
- > Packing and Unpacking
- > Comparing tuples
- > Creating nested tuple
- > Using tuples as keys in dictionaries
- > Deleting Tuples
- > Slicing of Tuple
- > Tuple Membership Test
- > Built-in functions with Tuple
- > Dotted Charts
Python Sets
- > How to create a set?
- > Iteration Over Sets
- > Python Set Methods
- > Python Set Operations
- > Union of sets
- > Built-in Functions with Set
- > Python Frozenset
Python Dictionary
- > How to create a dictionary?
- > PYTHON HASHING?
- > Python Dictionary Methods
- > Copying dictionary
- > Updating Dictionary
- > Delete Keys from the dictionary
- > Dictionary items() Method
- > Sorting the Dictionary
- > Python Dictionary in-built Functions
- > Dictionary len() Method
- > Variable Types
- > Python List cmp() Method
- > Dictionary Str(dict)
Python Functions
- > What is a function?
- > How to define and call a function in Python
- > Types of Functions
- > Significance of Indentation (Space) in Python
- > How Function Return Value?
- > Types of Arguments in Functions
- > Default Arguments
- > Non-Default Arguments
- > Keyword Arguments
- > Non-keyword Arguments
- > Arbitrary Arguments
- > Rules to define a function in Python
- > Various Forms of Function Arguments
- > Scope and Lifetime of variables
- > Nested Functions
- > Call By Value, Call by Reference
- > Anonymous Functions/Lambda functions
- > Passing functions to function
- > map(), filter(), reduce() functions
- > What is a Docstring?