Complete Bootcamp 2021 of Learning Python : Visual approach

Complete Bootcamp 2021 of Learning Python : Visual approach, available at $19.99, has an average rating of 4.5, with 62 lectures, 9 quizzes, based on 29 reviews, and has 106 subscribers.

You will learn about 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 This course is ideal for individuals who are Learner looking for Learning Python from Beginner to Intermediate Level. This course provides detailed conceptual explanation and their implementation. It is particularly useful for Learner looking for Learning Python from Beginner to Intermediate Level. This course provides detailed conceptual explanation and their implementation.

Enroll now: Complete Bootcamp 2021 of Learning Python : Visual approach

Summary

Title: Complete Bootcamp 2021 of Learning Python : Visual approach

Price: $19.99

Average Rating: 4.5

Number of Lectures: 62

Number of Quizzes: 9

Number of Published Lectures: 62

Number of Published Quizzes: 9

Number of Curriculum Items: 71

Number of Published Curriculum Objects: 71

Original Price: ₹1,199

Quality Status: approved

Status: Live

What You Will 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

Who Should Attend

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

Target Audiences

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

Complete Bootcamp 2021 of 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.

Course Curriculum

Chapter 1: Introduction To Course

Lecture 1: Introduction To Course

Chapter 2: Installation and Introduction to Jupyter Notebook

Lecture 1: Installation

Lecture 2: Introduction to Jupyter Notebook

Chapter 3: Python Introduction, Variables, Data Type and Data Typecasting, Operators

Lecture 1: Python Introduction, Variables, Data Type and Data typecasting

Lecture 2: Operators in Python

Lecture 3: Interview Questions

Chapter 4: List

Lecture 1: List : Creation,Indexing and Slicing

Lecture 2: List : Adding Element, Deleting Element

Lecture 3: List : Sorting, Element Frequency and Element Index

Lecture 4: List : Some Operation on List

Lecture 5: List : More Operations

Lecture 6: List : Interview Questions

Lecture 7: List : Problem Solving

Lecture 8: Nested List

Lecture 9: Deep Copy and Shallow Copy

Chapter 5: Tuple

Lecture 1: Tuple : Concepts 1

Lecture 2: Tuple : Concepts 2

Lecture 3: Tuple : Interview Questions

Chapter 6: Set

Lecture 1: Set

Lecture 2: Set : Interview Questions

Lecture 3: Frozen Set

Chapter 7: Dictionary

Lecture 1: Dictionary : One

Lecture 2: Dictionary : Two

Lecture 3: Dictionary : Interview Questions

Lecture 4: Dictionary : Problem Solving

Chapter 8: String

Lecture 1: String : Creation, Indexing, Slicing, Concatenation and Replication

Lecture 2: String : Searching in String

Lecture 3: String : Substitution

Lecture 4: String : Frequency of sub-string and string split

Lecture 5: String : Uppercase and Lowercase, digit, alphabets and alpha-numeric

Lecture 6: String : Text Decoration

Chapter 9: Conditionals

Lecture 1: Conditionals : Concepts

Lecture 2: Ternary Operator

Chapter 10: Loops

Lecture 1: Loops : For loop and While Loop

Lecture 2: Loops : Loops on Collections

Lecture 3: List Comprehension

Lecture 4: Set and Dictionary Comprehension

Chapter 11: Function in Python

Lecture 1: Function

Lecture 2: Problem Solving

Chapter 12: Problem Solving and Interview Questions

Lecture 1: Problem Solving and Interview Questions

Chapter 13: IO in Python

Lecture 1: Reading Writing Text File

Chapter 14: Module in Python

Lecture 1: Module in Python

Chapter 15: Regular Expression in Python

Lecture 1: Regular Expression in Python

Chapter 16: Object Oriented Python

Lecture 1: Introduction to Python Classes

Lecture 2: Some Interview Question

Lecture 3: Variables

Lecture 4: Different Types of Methods

Lecture 5: Inheritance

Lecture 6: Access Modifiers

Lecture 7: Interview Questions

Chapter 17: Minimum, Maximum and Sorting

Lecture 1: Minimum, Maximum and Sorting

Lecture 2: Interview Question

Chapter 18: Collections : namedtuple, defaultdict, and Counter

Lecture 1: Collections : namedtuple, defaultdict, and Counter

Chapter 19: Exception Handling

Lecture 1: Handling Exception

Lecture 2: Inbuilt Exception

Lecture 3: User Defined Exception

Chapter 20: Iterator and Generator

Lecture 1: Iterator

Lecture 2: Problem Solving and Interview Questions Using Iterator

Lecture 3: Generator

Lecture 4: Problem Solving and Interview Questions : Generator

Chapter 21: Decorators In Python

Lecture 1: Decorators

Chapter 22: Functional Programming in Python

Lecture 1: Functional Programming in Python

Instructors

Raju Kumar Mishra
A Kaggle Grandmaster, A writer, Instructor, Programmer

Rating Distribution

1 stars: 1 votes
2 stars: 1 votes
3 stars: 0 votes
4 stars: 2 votes
5 stars: 25 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!

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