• 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

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

• 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

• 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

• 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.

• 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.

• Installing BeautifulSoup
• Understanding web structures
• Chrome devtools
• request
• Scraping data from web using beautifulsoup
• scraping static websites
• Scraping dynamic websites using beautiful soup.
Hands-On – Scraping static and dynamic websites using beautifulsoup and selenium

● Accessing Database using sqlite3 and MySql
● Creating tables
● Insert Values
● Commit changes
● Query
● Update and Delete
Hands-on – Connecting and Querying the database

● Introduction to APIs
● Accessing Public APIs
Hands-on – Accessing Public Weather APIs and People in Space API

● Introduction to Python Web Framework Flask
● Installing Flask
● Working on GET, POST, PUT, METHODS using Python FlaskFramework
● Working on Templates, render_template function