Python Programming

Enrolled (1850+)

Python Programming Course Overview: Learn Python from basics to advanced topics. Cover fundamental syntax, data structures, and algorithms. Develop skills in web development, data analysis, automation, and machine learning. Gain hands-on experience through coding projects, preparing you for versatile applications in software development and data science

Course Eligibility: – BE/B.Tech/BCA/MCA

Course Overview

Python Programming Course Overview: Master Python fundamentals, syntax, data structures, and algorithms. Explore web development, data analysis, automation, and machine learning. Hands-on projects ensure practical proficiency, preparing you for diverse software development and data science applications.

Course Benefits

Python Programming Course Benefits: Acquire a strong foundation in Python, a versatile and widely-used language. Enhance problem-solving skills, develop web applications, analyze data, and delve into machine learning. Gain practical experience through projects, preparing you for diverse roles in software development, data science, and automation, with high demand in the job market.

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Course Details

Course overview and objectives
Importance of ML and AI in the industry
Understanding the learning path and outcomes

  • Introduction of Python
  • Statements and syntax in python
  • Basics of python programming
  • Data types & operators
  • String operation in Python
  • Advantages of Python
  • Interactive Shell
  • Executable or script files
  • User Interface or IDE
  • Python Interactive/ Script mode
  • Python Character Set
  • Python Tokens, Keywords, Identifiers, Literals, Operators
  • Variables and Assignments
  • Input and Output in Python
  • Data types in python
  • Numbers
  • Strings
  • Lists
  • Tuples
  • Dictionary
  • Set
  • Frozenset
  • Bool
  • Mutable and Immutable
  • Basics of String
  • Unicode string
  • String functions, methods
  • String indexing and slicing
  • String formatting
  • If statement
  • If else statement
  • If elif statement
  • If elif else statement
  • Nested if statement
  • Python Indentation
  • Looping and Iteration
  • The For Loop
  • The While Loop
  • Loop else Statement
  • Nested Loops
  • Break and Continue
  • Assert
  • Basics of Python function
  • Types of functions
  • Function scope
  • Function object
  • Function arguments
  • Variable Arguments
  • Variable Scope
  • Function Doc String
  • Function parameter
  • Positional arguments, keyword arguments
  • Default arguments, non-default arguments
  • Arbitrary arguments, keyword arbitrary arguments
  • Function return statement
  • Nested function
  • Function as return statement
  • Decorator function
  • Lambda function & maps
  • Closure
  • Map(), filter(), reduce(), any() functions
  • Anonymous or lambda function
  • Object oriented programming
  • Concept of OOPs
  • Instance Methods
  • Class Methods & Static Methods
  • New Style Classes
  • Variable Type
  • Static Variable in class
  • Creating Classes
  • Instance Methods
  • Inheritance
  • Polymorphism
  • Encapsulation
  • Scope and Visibility of Variables
  • Exception Classes & Custom Exceptions
  • Need of regular expressions
  • Re module
  • Functions /methods related to regex
  • Substituting
  • Splitting a String
  • Meta characters & special sequences
  • List Comprehensions
  • Nested List Comprehensions
  • Dictionary Comprehensions
  • Functions
  • Default Parameters
  • Variable Arguments
  • Specialized Sorts
  • Iterators
  • Generators
  • The Functions any and all
  • The with Statement
  • Data Compression
  • Closer
  • Decorator
  • Built-in Modules
  • Script v/s module
  • Importing Modules in Python Programs
  • Working with Random Modules, os Module, DateTime Module
  • File Handling Modes
  • Reading Files
  • Writing & Appending to Files
  • Handling File Exceptions
  • The with statement
  • Default Exception and Errors
  • Catching Exceptions
  • Raise an exception
  • Try except statement
  • Raise, Assert, Finally blocks
  • User defined exception
  • Introduction to Python GUI
  • Components and Events
  • The root Component
  • Adding a Button
  • Entry Widgets
  • Text Widgets
  • Checkbuttons
  • Radiobuttons
  • Listboxes
  • Frames
  • Menus
  • Binding Events to Widgets
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