Learn with Python Language with Explanation

This is a Python Course we discuss the 'Introduction to Python' which analogy to Python Statement, Expression, Data Types and Different Types of Data Types and their details, Type Conversion and Python Operator.

This is a Python Course Firstly we discuss the 'Introduction to Python' which analogy to Python Data Types

• Python’s Core Data Types

   o List and Dictionaries can be nested

   o key : value

• Numbers

  o + Is addition, * is multiplication, ** is power or exponentiation(ex)

• Strings

  o Order collection Data Types

  o Sequence Operation

  o Immutability Ordered Sequence

  o Type-Specific Methods

This is a Python Course Firstly we discuss the 'Introduction to Python' which analogy to Python Data Types

• Getting Help

• Other Ways to Code Strings

• Unicode Strings

• Pattern Matching

• List

o Mutable Ordered sequences

o Sequence Operation

o Type-Specific Methods

o Bounding Checking

o Nesting

o List Comprehensions

• Dictionaries

o Mutable Mapping Data Types

o Mutable Unordered sequences

o Mapping Operations

o Nesting Revisited

o Missing Keys: if Tests

o Sorting Keys: for Loops

• Iteration and Optimization

• Tuples o Immutable Ordered sequences

o Why Tuples? • Files o excel

Types of Sequences:-

• Immutable Ordered Sequence – String and Tuples

• Mutable Ordered sequences – List • Mutable Unordered sequences - Dictionary

This is a Python Course we discuss the 'Introduction to Python' which analogy to Python Statement:-

• Types of Statement:-

1. Conditional Statement:-    

   1. if statement:-

   2. else Statement:-

      1. if-else statement

   3. elif Statement:-

      1. If-elif-else statement

2. break Statement:-

   1. break with for loop

   2. break statement with while loop

3. continue Statement

4. pass Statement

• Function:-

  1. range() Function

  2. next() function:

• Loops:- finite and infinite loop

  1. for loop

     1. for loop with string

  2. while loop

• Iterables means collection of other objects

  1. Iterable

• Iterator

This is a Python Course we discuss the 'Python Function' which analogy to

• What is a Function?

  o Use def keyword

• Defining a Python function

• Function with positional arguments

• Function with the argument and return value

• Function with default argument • Function with variable-length arguments

• Function with keyworded arguments

• Argument pass by reference or value

• Scope:-

o Types of Scope:-

• Local Scope

• Enclosing Scope

• Global Scope

• Built-in Scope

• Memory management

• Scope of variables:-

  o Local variables

  o Global variables

Hello Guys, this a Python Course in which we discuss the 'Python Modules and Functions' which analogy to:-

• Random Module:-

o Random functions for integers

• randint()

• randrange()

o Random functions for sequence

• Choice(rnlist)

• shuffle()

• Sample()

o Random functions for floats

• random()

• Uniform(start, end)

• Tombola game

  • Number must be interger

  • Ranges from 1 to 100

  • Non-repeatable

• OTP generator

  • OTP must contain the numbers and letters

  • OTP length should be 6

  • Python special functions:-

o Lambda()

•    lambda can take any number of arguments and retuens only one expression

o filter()

o map()

o reduce()

o isinstance()

o eval()

o repr()

Hello Guys, this a Python Course in which we discuss the 'Python Data Types or Python Data Structure' which analogy to:-

• Tuples:-

o What is Tuple?

1. Ordered sequences of objects

2. Defined using parenthesis

3. Immutable sequence

4. Store different data types

5. container

6. Creating tuple

7. Creating tuple with items

o Indexing of Tuple

o Slicing of Tuple

1. print(tup1[start:end:step size])

2. default value of start is always zero

3. default value of step size always 1

o Tuple Methods

1. count()

2. index()

o Tuple Function

1. len()

2. max()

3. min()

o Tuple Operations

1. Addition

2. Multiplication

3. In operator

4. Not in operator

o Unpacking of Tuple

o For loop with Tuple

• Lists:-

o What is List? – 1 & 2

1. Container like a tuple

2. Store different data types

3. Mutable data structure

4. Collection of arbitrary objects

5. Ordered sequences of arbitrary objects

6. Creating a list

• Empty list

• List with elements

1. Array of object references

o List in Action - 2

1. List Iteration and Comprehensions – 1 & 2

• List Comprehension is a concise way to create lists.

• One-line codes to make a list with for loop, map() & lambda()

1. List Operation – 1 & 2

• Accessing the item of a list

• Updating list

• Deleting list item

• Addition of the lists

• Multiplication of List

• In operator

• List with for loop

1. Indexing, Slicing and Matrixes - 2

Hello Guys, this a Python Course in which we discuss the 'Python Data Types or Python Data Structure' which analogy to : -

o List functions – 1

1. len()

2. max()

3. min()

o List methods – 1

1. Dir()

2. Insert methods

   •  append()

   •  insert()

3. Deletion methods • remove() • pop()

4. count()

5. index()

6. copy()

7. sort()

8. reverse()

9. sum()

10. extend()

11. clear()

• Dictionaries:-

o What is Dictionaries? – 2 & 3

1. {}

2. Creating a dictionary

3. Features

o Dictionaries in Action - 2

1. Dictionary Operation – 2 & 3

   • Accessing the values of dictionary

   • Deleting item from dictionary

   • Updating and adding in dictionary

   • Adding item to dictionary

2. Changing Lists in Place - 2

o Dictionary Methods – 2 & 3

1. copy()

2. get()

3. setdefault()

4. items()

5. keys()

6. values()

7. update()

Hello Guys, this a Python Course in which we discuss the 'Python Data Structure like Tuples , Lists , Dictionaries and Sets' which analogy to:-

o Dictionary Methods – 2 & 3

1. copy()

2. get()

3. setdefault()

4. items()

5. keys()

6. values()

7. update()

o Other ways to make Dictionaries - 2

o Dictionary Function – 3

1. len()

2. Max(dict)

• Sets:- 3

o With Item

o Without Items

o Set Methods:-

1. add(x)

2. update(x,y,z)

3. copy()

4. pop()

5. discard(i)

6. remove()

7. intersection()

8. difference()