Core Python Programming

Core Python Training Content



    Introduction to Python

    Python is an interpreter, high-level, general-purpose programing language created by Guido van Rossum and first released in 1991, Python's design philosophy emphasizes code readability with its notable use of serious white-space. Its language constructs an object-oriented approach aim to assist programmers writes clear, logical code for little and large-scale projects. Python is dynamically typed and garbage-collected. It supports multiple programming paradigms, including procedural, object-oriented, and functional programming. Python is usually described as a "batteries included" language because of its comprehensive standard library.

    Python Language Feature and How to Use.

    Python is a multi-paradigm programming language. Its object-oriented programming and structured programming are fully supported, and lots of its features support functional programming and aspect-oriented programming (including by met programming and met objects (magic methods). Many other paradigms are supported via extensions, including design by contract and logic programming.

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    Now you will learn Below python module

  •  What is Python?
  •  Why Python?
  •  Who Uses Python?
  •  Characteristics of Python
  •  History of Python
  •  What is PSF?
  •  Python Versions
  •  How to Download and Install Python
  •  Install Python with Diff IDEs
  •  Features and 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 and 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
  •  Sub Packages in Python
  •  Uses of Python in Data Science, IoT
  •  Working with Python in Unix/Linux/Windows/Mac/Android..!!
  • PYTHON NEW IDEs
  •  PyCharm IDE
  •  How to Work on PyCharm
  •  PyCharm Components
  •  Debugging process in PyCharm
  •  PYTHON Install Anaconda
  •  What is Anaconda?
  •  Coding Environments
  •  Spyder Components
  •  General Spyder Features
  •  Spyder Shortcut Keys
  •  Jupyter Notebook
  •  What is Conda? and Conda List?
  •  Jupyter and Kernels
  •  What is PIP?
  • Variables in Python
  •  What is Variable?
  •  Variables and Constants in Python
  •  Variable,Variable names and Value
  •  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 and indices
  •  Basic String Operations
  •  String Functions, Methods
  •  Delete a string
  •  String Multiplication and concatenation
  •  Python Keywords, Identifiers and Literals
  •  String Formatting Operator
  •  Structuring with indentation in Python
  •  Built-in String Methods
  •  Define Data Structure?
  •  Data Structures in PYTHON
  • Python Operators and Operands
  •  Arithmetic, Relational Operators and 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
  •  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” and “For Loop”
  •  How to use For Loop for set of other things besides numbers
  •  Break statements, Continue statement, 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, slices and 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 and Non-Default Arguments
  •  Keyword Argument and 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?