Python 3

Master basic concepts of the Python programming language like data-types (list, tuple, set, dictionary), operators, flow control and loops & collections in Python
Important concepts of Object Oriented Programming (OOPs), file handling, exception handling, modules, decorators & generators etc.
Python practice programs, applications & Projects

Live (Instructor-led)
Intermediate

Programming, Coding, Software
Programming, Python

What this course covers

This course includes basics and important concepts of Python programming language
Covers basic concepts like variables, data types (list, tuple, set, dictionary) collection, operators and loops in Python

Also includes important concepts of Object Oriented Programming (OOPs), file handling, exception handling and modules in Python programming language
Includes practice programs, assignments & practical labs using the concepts of Python programming language

Requirements for this course

Machine with Windows, Linux or Mac OS X Operating System
Basic Knowledge of Programming is an advantage

Who can benefit from this course

Candidates studying in higher secondary & graduation
Software Developers and Testing professionals wants to work towards automation
Whoever wants to work in the field of Data Science, Machine Learning, Artificial Intelligence

Course Syllabus

Introduction to Python
- What is Python?
- Python popularity
- Features of Python
- Career with Python
Python Installation & IDEs
- Python Installation on Windows
- Python Installation on Linux
- IDEs for Python
- PyCharm Overview
- First Python Program
Python Comments & Variables
- Comments in Python
- Docstring in Python
- Variables in Python
- Variable data types in Python
- Variable Scope in Python
- Delete Variable
Python Data types
- Number Data Type
- String Data Type
- Boolean Data Type
Python Data type – List
- List in Python
- Creation of List
- Add elements in List
- Remove elements from List
- Index of Elements in List
- Index() method of List
- Slice object in Python
- Slice elements from List
- Concatenate Lists
- Delete of Elements & List
- Count of Elements in List
- Reverse of List
- Sorting of List
Python Data type – tuple
- Tuple in Python
- Creation of Tuple
- Index of Elements in Tuple
- Index() method of Tuple
- Change elements in Tuple
- Delete elements in Tuple
- Slice elements from Tuple
- Concatenate Tuple
Python Data type – set
- Set in Python
- Creation of Set
- Access elements in Set
- Add elements in Set
- Remove elements in Set
- Union Join of Sets
- Intersection of Sets
- Difference of Sets
- Symmetric difference of Sets
- Disjoint, subset & superset
- List vs. Tuple vs. Set
Python Data type – dictionary
- Dictionary in Python
- Creation of Dictionary
- Add elements in Dictionary
- Access elements in Dictionary
- Update elements in Dictionary
- Remove elements in Dictionary
- Copy of Dictionary
- Nested Dictionary
- Dictionary built-in functions
- Dictionary methods
Python Arrays
- Array in Python
- Creation of Array
- Add elements in Array
- Index of elements in Array
- Update elements in Array
- Remove elements in Array
- Append elements in Array
- Concatenate Arrays
- Reverse elements in Array
Flow control & Loops in Python
- if-else statement
- while loop
- for loop
- loop control statements
- Nested loops

Python Operators
- Operators in Python
- Arithmetic Operators
- Bitwise Operators
- Assignment Operators
- Comparison Operators
- Logical Operators
- Identity Operators
- Membership Operators
Functions in Python
- function definition
- function arguments
- arguments – pass by reference
- return statement & recursive function
- lambda function
File handling in Python
- File handling
- File create, write & delete operations
- File operation read
- With function
- File remove & rename
- File other methods
- Read standard input
Object Oriented Programming (OOPs) in Python
- Classes and Objects
- Classes in Python
- Inheritance, Encapsulation in Python
- Abstraction in Python
- Super function in Python
- Method overriding
Exception handling in Python
- What are exceptions
- What is exception handling
- Process of exception handling
- Python for exception handling
- try, catch, except, else & finally block
Python Collections
- namedtuple()
- deque
- ChainMap
- Counter
- OrderedDict
- defaultdict
- UserDict
- UserList
- UserString
Module in Python
- What is module in Python
- Creating a Python module
- Use of Python modules
- Built-in modules in Python
Python Decorators
- Functions in Python
- Decorators in Python
- Fancy Decorators
- Decorator Examples
Generators in Python
- Introduction to Generators
- Advantages of Generators
- Normal function vs. Generator function
- Generator expressions
- Generators with loops
- Generator function use cases
NumPy Basics
- NumPy Introduction
- NumPy create arrays
- NumPy array indexing
- NumPy array slicing
Python Applications & Projects
- Multiple logical programs for practice
- Pattern Programs
- English Thesaurus Application
- Application program for Authentication
- Application program to manage finances
- Application program with cache as database
- Project simulating stock trading
- Project guidance for real time web applications

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~~INR 16,000~~ INR 9,000 GST Inclusive

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Course Features

365 days access
Live interactive sessions
Certificate of completion
Mock interview
Hands on labs
Practice assignments
Resume preparation
Interview guidance
Job assistance
Industry use cases
Doubt clarity sessions

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