Learning Python : Visual approach With Interview Questions

Name: Learning Python : Visual approach With Interview Questions
Rating: 4.6 (30 reviews)

Course by Kaggle Grandmaster, More than 300 Quizzes, Python Hands on coding, 40 Problem solving and Interview Questions

Created byRaju Kumar Mishra

Last updated 10/2025

English

English [Auto],

What you'll learn

This course provides a visual approach to learn Python concepts and how to use the concepts to solve programming problems.
This course can be used as pre-requisite to move to other branches such as web development with python, statistics, machine learning, network programming etc
How to write clear Python code
Solve programming problems
More than 300 Multiple choice questions and More than 40 Interview questions and problem solving
Use Python to solve day to day problem
Python Interview preparation

Coding Exercises

This course includes our updated coding exercises so you can practice your skills as you learn.

Course content

22 sections • 62 lectures • 31h 19m total length

Introduction To Course14:47
This is an introduction video to the course Learning Python : A Visual Approach. This video will help learner to find, if this course is suitable to them or not. I have provided the topics, i am going to discuss in this course and what is the meaning of visual approach of training. I will show by two examples that, how visual approach will make their learning journey faster and enjoyable.

Installation9:40
Install and configure Anaconda on Windows and Ubuntu, including Anaconda Navigator and Jupyter Notebook, to set up your data science environment. Use Miniconda for lightweight environment management and package installation.
Introduction to Jupyter Notebook7:01
Create and rename a Jupyter Notebook in a directory and set the working directory. Run code cells to view outputs, then convert to markdown and download or save the notebook.

Python Introduction, Variables, Data Type and Data typecasting54:30
Explore Python fundamentals, including variables, data types, type casting, static and dynamic typing, and indented blocks, plus memory management and procedural, object-oriented, and functional paradigms.
Typecasting Problem
Operators in Python1:22:37
Operators in Python will provide you detailed discussion on following topics
Assignment Operator
Arithmetic Operator
Relational Operators
Logical Operators
Bitwise Operators
Learner will able to apply these operators in their code efficiently and also able to read code written in python and able to solve bugs related to Python operators
Operators in Python Exercise
Interview Questions10:27
There is discussion on following interview questions?
Benefits of using Python?
Explain PIP.
What is PEP8?
What is Global Interpreter Lock?
Explain Memory Management in Python?

List : Creation,Indexing and Slicing42:30
We are going to learn following concepts
Collections in Python
Characteristic of Collections
List
List Creation
List Indexing and Slicing
List creation, Indexing and slicing
List : Adding Element, Deleting Element32:08
List adding element and deleting element
List : Sorting, Element Frequency and Element Index15:03
List : Some Operation on List17:19
Explore Python list operations, including counting elements, finding minimum and maximum values, computing the sum, and unpacking into variables with mean function.
List : More Operations22:19
List : Interview Questions18:24
List : Problem Solving2:53
Nested List9:19
Nested List
Introduction
Indexing
Substitution
Deep Copy and Shallow Copy32:58
Copying List
Shallow Copy
Deep Copy
copy package
List Codes

Tuple : Concepts 148:38
Tuple
Tuple Creation
Typecasting to Tuple
Tuple Indexing
Tuple Negative Indexing
Tuple Mutability
Tuple Slicing
Tuple Slicing With Negative index
Tuple : Concepts 240:23
Tuple
Finding tuple element frequency
Finding tuple element index
Length of Tuple
Sum of elements of tuple
Finding minimum value element
Finding Maximum Value Element
Tuple Unpacking
Tuple : Interview Questions8:57
Interview Questions
Similarity and Differences between Tuple and List
Tuple Concatenation
Tuple and List Concatenation
Tuple Coding Exercise

Set1:33:28
Set
Set Introduction
Set Creation
Adding new element to set
Deleting element from a set
Union
Intersection
Difference
Symmetric difference
Disjoint set
Equality of set
Minimum value element
Maximum value element
Set : Interview Questions9:43
Some interview questions
Difference between remove() and discard()
Removing duplicates elements from list
Finding common element in two lists
Frozen Set13:31
Set coding exercise

Dictionary : One50:29
Introduction to dictionary
Creation of a Dictionary
Dictionary indexing
Adding a new key value pair
Adding new key values pairs
Value substitution
Dictionary : Two27:57
Dictionary keys
Dictionary values
Dictionary Items
Dictionary pop()
Dictionary popitem()
Dictionary del
Dictionary clear()
Dictionary Equality
Dictionary : Interview Questions2:55
Concatenating two dictionaries
Dictionary : Problem Solving6:05
Dictionary coding exercise

String : Creation, Indexing, Slicing, Concatenation and Replication36:47
String : Searching in String41:58
String : Substitution22:09
String : Frequency of sub-string and string split23:50
String : Uppercase and Lowercase, digit, alphabets and alpha-numeric26:04
String : Text Decoration42:08
Explore how to decorate text with Python strings by applying title case, capitalization, and case changes, and by trimming, centering, and padding strings.

Requirements

No. Any one from any course background can join the course. Just you need desire to learn and implement

Description

Learning Python : Visual approach, makes you learn Python using visual approach. Visual approach means, using appropriate diagram and charts to make you understand fast and retain it for longer time. Every topic is followed by set of quizzes to refresh your knowledge and provide deeper understanding of every concept explained. There are infinite number of problems included and with their solution. Problem solving help student understanding application of the concepts learned. Solution to the problems has been explained using visual approach. Visual approach of explanation will help learner understand problem solving steps and concept, easily. Visual approach of explanation also improve problem solving skill in general. Many interview questions have been added with detail answers. Interview questions and answers help you to prepare for your interview and made you job interview ready. This course can be used as prerequisite course for many domains like Data science, Network Programming, Machine learning, Statistics, Web Programming, Programming Desktop Applications and many more. Following topics are discussed in this course

Introduction to Python, Variables, and Operators.
Python collections : List, Tuple, Sets, Dictionary, Frozen Set.
Python String
Conditionals, Loops, Comprehension, Ternary operator,
Python Functions.
More on collections : NamedTuple, DefaultDict, OrderedDict, and Counter.
IO in python and Python module.
Regular Expression In Python.
Object Oriented Programming concepts and its implementation in Python
Concept of Inheritance and its implementation in Python.
Exception Handling In Python.
Iterator and Generator.
Decorator.
Functional Python.

Who this course is for:

Learner looking for Learning Python from Beginner to Intermediate Level. This course provides detailed conceptual explanation and their implementation.

Learning Python : Visual approach With Interview Questions

What you'll learn

Explore related topics

Coding Exercises

Course content

Introduction To Course1 lecture • 15min

Installation and Introduction to Jupyter Notebook2 lectures • 17min

Python Introduction, Variables, Data Type and Data Typecasting, Operators3 lectures • 2hr 28min

List9 lectures • 3hr 13min

Tuple3 lectures • 1hr 38min

Set3 lectures • 1hr 57min

Dictionary4 lectures • 1hr 27min

String6 lectures • 3hr 13min

Conditionals2 lectures • 50min

Loops4 lectures • 2hr 19min

Requirements

Description

Who this course is for: