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Course Content
video recordings
0/17
Recording – Course Introduction | Indentation | Variables
02:08:15
Recording – Python DataTypes | Numbers | Booleans
46:22
Recording – String Processing part 1 | Get inputs from users
01:32:43
Recording – Type Casting | String Processing | Assignment Operators
58:12
Recording – Collections in Python
00:00
Recording – Python Sets and Dictionaries
02:36:26
Recording – Program-flow in Python programming
00:00
Recording – Python Functions
00:00
Recording – Python Modules
00:00
Recording – Object Oriented Programming in Python
00:00
Recording – Exception Handling in Python
00:00
Recording – Python Pandas
02:43:33
Recording – File Handling in Python
00:00
Data Visualisation
00:00
Unit Testing, Email Sending and Database management
00:00
Consume APIs using Python
02:01:32
Regular Expression – Regex
02:48:14
Introduction to Python Programming Language
0/2
Introduction to Python Programming Language
00:00
Getting Started with Python
00:00
Python Indentation, Comments and Variables
0/2
Python Indentation and Comments
00:00
Python Variables
00:00
Python Data Types
0/5
Python Data Types
00:00
Numerics (mathematical relevance)
00:00
Booleans (checking for truth)
00:00
String (sequences of characters)
00:00
Type Casting
00:00
Inputs , operators
0/2
Inputs from users
00:00
Python Operators
00:00
Collections in Python
0/7
Introduction to Python Collections
00:00
Python Lists
00:00
Python Tuples
00:00
Python Sets
00:00
Dictionaries
00:00
The `collections` module in Python
00:00
Exercises
00:00
Program Flow
0/5
Introduction to program flow
00:00
if … else
00:00
for loop
00:00
`while` loop
00:00
`break`, `continue`, and `exit`
00:00
Python Functions
0/2
Python Functions
00:00
In-built Functions in Python Programming
00:00
Python Modules
0/4
Modules vs. Functions in Python programming
00:00
Python Modules
00:00
Python Datetime (as an example of a Python module)
00:00
User-defined modules
00:00
Object Oriented Programming in Python
0/1
Object Oriented Programming in Python
00:00
File Handling in Python
0/1
File Handling in Python Programming
00:00
Exception Handling in Python
0/1
Exception Handling in Python
00:00
Python Pandas
0/9
Intro to Python Pandas
00:00
Data input in Pandas
00:00
Series in Pandas
00:00
Dataframe
00:00
Data manipulations using pandas
00:00
Data cleaning
00:00
Data Analysis
00:00
Data Output using Pandas
00:00
Data Visualisation
00:00
Data Visualisation using Python
0/8
Data Visualisation Introduction
00:00
Matplotlib Library for data visualisation
00:00
Line Graph
00:00
Scatter plots
00:00
Subplot
00:00
Bar Graph
00:00
Histograms
00:00
Pie Charts
00:00
Sending emails with Python
0/1
Email sending template
00:00
Unit test in python programming
0/1
unit test in python programming
00:00
Using Databse with Python programming
0/16
Database with Python
00:00
Python SQLite – introduction
00:00
Python SQLite – Connecting to Database
00:00
SQLite Datatypes and its Corresponding Python Types
00:00
Python SQLite – Cursor Object
00:00
Python SQLite – Create Table
00:00
Python SQLite – Insert Data
00:00
Python SQLite – Select Data from Table
00:00
Python SQLite – WHERE Clause
00:00
Python SQLite – ORDER BY Clause
00:00
Python SQLite – LIMIT Clause
00:00
Python SQLite – Update Data
00:00
Python SQLite – Update Specific Column
00:00
Python SQLite – JOIN Clause
00:00
Python SQLite – DROP Table
00:00
Python SQLite – Deleting Data in Table
00:00
Regular Expressions using Python
0/6
Regular expressions
00:00
Metacharacters in regular expressions
00:00
Regex – special Sequences
00:00
Regex – sets
00:00
The `finditer()` function
00:00
Regex – split function
00:00
Consuming APIs in Python
0/4
Introduction to APIs
00:00
Getting Started
00:00
Authenticating to Access Python APIs
00:00
Consuming Google Books API with Python: Practical Examples
00:00
Python Technical Interview Assignments – with solutions
Sharpen your Python skills with these programming challenges. Go through the solutions and then try to attempt them on your own.
0/24
Capital indexes
00:00
Middle letter
00:00
Online status
00:00
Randomness
00:00
Type check
00:00
Double letters
00:00
Adding and removing dots
00:00
Counting syllables
00:00
Anagrams
00:00
Flatten a list
00:00
Min-maxing
00:00
Divisible by 3
00:00
Tic tac toe input
00:00
Palindrome
00:00
Up and down
00:00
Consecutive zeros
00:00
All equal
00:00
Boolean and
00:00
Writing short code
00:00
Custom zip
00:00
Solution validation
00:00
List xor
00:00
Counting parameters
00:00
Thousands separator
00:00
Python programming (zero to advance!!!)
About Lesson

MODULES VS FUNCTIONS IN PYTHON PROGRAMMING

In Python, both inbuilt functions and modules serve different purposes.

1. Inbuilt Functions:
– Inbuilt functions are predefined functions that come with the Python interpreter.
– They are ready-to-use and do not require importing any module explicitly.
– Examples of inbuilt functions include `len()`, `print()`, `type()`, `sum()`, etc.
– These functions are part of the core Python language and can be used directly without additional imports.

2. Modules:
– Modules are files containing Python code that define functions, variables, and classes that can be used in other Python scripts.
– Modules provide a way to organize and structure code, making it more modular and reusable.
– To use the functions or variables defined in a module, you need to import that module into your script using the `import` keyword.
– Examples of modules include `math`, `datetime`, `random`, etc. Each of these modules contains functions and classes related to specific functionalities.

In summary, inbuilt functions are functions that are available without the need for explicit imports, while modules are collections of code, including functions and classes, that need to be imported to be used in a script. Modules are a way to organize and distribute reusable code in Python.

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