#1 Python Full Stack Developer Course Training in Bangalore for 2023/24 passouts

• Introduction to programming
• R or Python?
• Why Python for Data Science?
• Different job roles with Python
• Different Python IDEs
• Downloading and setting up python environment
Hands-On – Installing Python – IDLE

• Python input and output operations.
• Comments
• Variables, rules for naming variables
• Basic Data Types in Python
• Typecasting in python
Hands-On – Using comments, variables, data types, and typecasting in python program

● Arithmetic operators
● Assignment operators
● Comparison operators
● Logical operators
● Identity operators
● Membership Operators
● Bitwise Operators
Hands-On – Working with different data types in a program

• Creating strings
• String formatting
• Indexing
• Slicing
• String methods
Hands-On – Performing string operations

● Creating lists
● Properties of lists
● List indexing
● List slicing
● List of lists
● List Methods
● Adding, Updating & removing elements from lists
Hands-On – Slicing, Indexing, and using methods on lists

• Syntax to create tuples
• Tuple properties
• Indexing on tuples
• Slicing on tuples
• Tuple methods
Hands-On – Working with tuples

• The Syntax for creating sets
• Updating sets
• Set operations and methods
• Difference between sets, lists and tuples
Hands-On – Performing set operations in a program

• The Syntax for creating Dictionaries
• Storing data in dictionaries
• Dictionaries keys and values
• Accessing the elements of dictionaries
• Dictionary methods
Hands-On – Creating dictionaries and using dictionaries methods

• Setting logic with conditional statements
• If statements
• If -else statements
• If-elif-else statements
Hands-On – Setting logic in programs using conditional statements

• Iterating with python loops
• while loop
• for loop
• range
• break
• continue
• pass
• enumerate
• zip
• assert
Hands-On – Iterating with loops in python

● Solving Level by Level Challenges
● Assignments to acquire Bronze and Silver Level badges

• Why List comprehension
• Syntax for list comprehension
• Syntax for dict comprehension
Hands-On – Using List and Dictionary comprehension

• What are Functions
• Modularity and code reusability
• Creating functions
• Calling functions
• Passing Arguments
• Positional Arguments
• Keyword Arguments
• Variable length arguments (*args)
• Variable Keyword length arguments (**kargs)
• Return keyword in python
• Passing function as argument
• Passing function in return
• Global and local variables
• Recursion
Hands-On – Creating our own functions,passing arguments and performing operations

• Lambda
• Lambda with filter
• Lambda with map
• Lambda with reduce
Hands-On – Working with lambda, filter,map and reduce in python

● Creating and using generators
Hands-On – Creating and using generators

• Creating modules
• Importing functions from different module
• Importing Variables from different modules
• Python builtin modules
Hands-On – Creating and importing Modules

• Syntax errors
• Logical errors
• Handling errors using try,except and finally
Hands-On – Handling Errors with try and except

• Creating classes & Objects
• Attributes and methods
• Understanding __init__ constructor method
• Class and instance attributes
• Different types of of methods
• Instance methods
• Class methods
• Static methods
• Inheritance
• Creating child and parent class
• Overriding parent methods
• The super() function
• Understanding Types of inheritance
• Single inheritance
• Multiple inheritance
• Multilevel inheritance
• Polymorphism
• Operator overloading
Hands-On – Creating classes, objects. Creating methods and attributes. Working with different methods. Using inheritance and polymorphism.

• Creating packages
• Importing modules from package
• Different ways of importing modules and packages
• Working on Numpy,Pandas and Matplotlib
Hands-On – Creating and importing packages

• date module
• time module
• datetime module
• time delta
• formatting date and time
• strftime()
• striptime()
Hands-On – working with date and time

• Understanding the use of regex
• re.search()
• re.compile()
• re.find()
• re.split()
• re.sub()
• Meta characters and their use
Hands-On – using a regular expression to search patterns

• Opening file
• Opening different file types
• Read,write,close files
• Opening files in different modes
Hands-On – Reading, Writing, Appending, opening and closing files.

Use Cases: Download Instagram public Data
                           Download Youtube Videos with its details
                          Sending Automated Emails
Learner will achieve five star badge in HackerRank Able to Crack any competitive coding question Learner HackerRank rank will be less than 1 Lakh.