# Topic covered
* Introduction to Python
* Python Name
* Where we can use Python
* Python Versions
* Flavors of Python
* Features of Python
* Why to use Python
* PEP - Python Enhancement Proposal
* Python Library
* Compiled language vs interpreted language
* Identifiers
* Reserved Words (Keywords)
* Process: Making Chai (Tea) - in Pythonic View
# Topic covered
* Data Types
* Python inbuilt functions
* Dynamic type and Strong Type
* Python collections
# Topic covered
* Flow Control
* Conditional / Decision Making statements
* if, if-else, if-elif-else
* Iterative Statements
* for, while
* Transfer Statements
* break, continue, pass
# Topic covered
Python provides the following set of operators
1. Arithmetic Operators
2. Relational Operators or Comparison Operators
3. Logical operators
4. Bitwise operators
5. Assignment operators
6. Identity Operators
7. Membership Operators
# Topic covered
* String Data Type
* Define String literals
* Slicing of Strings
* String in-built function
* Formatting the Strings
# Topic covered
* List Data Structure
* List declaration
* List access
* Mathematical operators for List Objects
* Comparing List objects
* List in-built function
* List Comprehensions
# Topic covered
* Tuple Data Structure
* Tuple Packing and Unpacking
* Mathematical operators for tuple
* Tuple in-built function
* Tuple Comprehension
* Set Data Structure
* Mathematical operations on the Set
* Set in-built function
* Set Comprehension
# Topic covered
* Dictionary Data Structure
* Dictionary declaration
* Keys of Dictionary
* Update Dictionary
* Display/access Dictionary
* Dictionary in-built function
* Dictionary Comprehension
* Iterate Through a Dictionary
* Usage
# Topic covered
* Functions
* User Defined Functions
* Return Statement
* Parameters & Arguments
* Positional arguments
* Keyword arguments
* Default arguments
* Variable length arguments
# Topic covered
* Built-in Functions
* Anonymous/lambda Functions
* map() function
* reduce() function
* filter() function
* eval() function
Sometimes we can declare a function without any name, such type of nameless functions are called
anonymous/lambda functions
The main purpose of anonymous function is just for instant use(i.e. for one time usage)
AKA lambda functions or shorthand function
# Syntax
lambda argument_list : expression
print((lambda x: x + 1)(2)) # 3
s = lambda n:n*n
print(s(4)) # 64
s = lambda a,b:a+b
print(s(2, 3)) # 5
s = lambda a,b:a if a>b else b
print(s(10,20)) # 20
print(s(100,200)) # 200
print((lambda x, y, z=3: x + y + z)(1, 2))
Lambda Function internally returns expression value and we are not required to write return statement explicitly