Tame the Python A Beginners Masterclass
- IT & Software
- Feb 04, 2025

Tame the Python – A Beginners Masterclass, available at $44.99, has an average rating of 5, with 35 lectures, 2 quizzes, based on 2 reviews, and has 5 subscribers.
You will learn about Basics of computer programming Python programming How to build programming algorithms Create apps using Python This course is ideal for individuals who are Learners who have no prior knowledge in programming and want to start or Learners who have prior programming knowledge and wants to learn Python It is particularly useful for Learners who have no prior knowledge in programming and want to start or Learners who have prior programming knowledge and wants to learn Python.
Enroll now: Tame the Python – A Beginners Masterclass
Summary
Title: Tame the Python – A Beginners Masterclass
Price: $44.99
Average Rating: 5
Number of Lectures: 35
Number of Quizzes: 2
Number of Published Lectures: 35
Number of Published Quizzes: 2
Number of Curriculum Items: 40
Number of Published Curriculum Objects: 40
Number of Practice Tests: 2
Number of Published Practice Tests: 2
Original Price: ?799
Quality Status: approved
Status: Live
What You Will Learn
Who Should Attend
Target Audiences
Are you someone who want to learn how to code but don’t know where to start? Without competent guidance you are most likely headed towards the 3 steps to failure i.e. Get Lost, Get Frustrated and then Give up
No one can deny the power of mentorship when it comes to learning a new skill. More often than not it can prove to be the sole deciding factor for your success. And that is why we have created this python masterclass that is specially designed for beginners. In this course we take you through each and every topic from its very fundamentals in extreme details.
Having completed this course it can be guaranteed that you will have end to end understanding how Python as a language works and how it can be used.
Module 1: Getting Started with Python
Introduction
Installation and Setup
Introduction to Jupyter Notebook
Basic Syntax
Operators
Module 2: Variables and Data types
Variables and Assignment
Data Types
Numbers
String
Booleans
List
Tuples
Dictionary
Sets
Data Type Conversion
Module 3: Conditions and Loops
If-Else Conditions
While Loops
For Loops
Nested Loops
Loop Control Statements
Iterators
Module 4: Functions
Standard Functions
Function Arguments
Recursive Functions
Anonymous or Lamda Functions
Scope of Variables
Module 5: Classes and Objects
Object Oriented Programming in python
Creating Classes
Creating Instance Objects
Accessing Attributes and Methods
Built-In Class Attributes
Destroying Objects and Garbage Collection
Module 6: Inheritance
Inheritance
Types of Inheritance
Encapsulation
Polymorphism
Module 7: Error Handling
Exceptions
Exception Handling
Else Block
Raising an Exception
User Defined Exception
Module 8: Extended Topics
User Input
Python Date-time
Python Math
Regular Expressions
Course Curriculum
Chapter 1: Getting Started with Python
Lecture 1: Course Introduction
Lecture 2: Installation and Setup
Lecture 3: Introduction to Jupyter Notebook
Lecture 4: Basic Syntax
Lecture 5: Operators
Chapter 2: Variables and Datatypes
Lecture 1: Datatypes and Casting
Lecture 2: Strings
Lecture 3: String Modification and Formatting
Lecture 4: Numbers
Lecture 5: Lists
Lecture 6: Tuples
Lecture 7: Sets
Lecture 8: Dictionaries
Lecture 9: Booleans
Lecture 10: Variables and Assignment
Chapter 3: Conditions and Loops
Lecture 1: Conditional Statements
Lecture 2: Loops
Lecture 3: Nested Loops and Control Statements
Lecture 4: Iterators
Chapter 4: Functions
Lecture 1: Functions
Lecture 2: Function Arguments
Lecture 3: Recursive Functions
Lecture 4: Lambda Functions
Lecture 5: Scope of Variables
Chapter 5: Object Oriented Programming
Lecture 1: Classes and Objects
Lecture 2: Class Attributes, Destructors and Garbage Collection
Chapter 6: Inheritance
Lecture 1: Inheritance
Lecture 2: Polymorphism
Lecture 3: Encapsulation
Chapter 7: Error Handling
Lecture 1: Error Handling
Lecture 2: User Defined Exceptions
Chapter 8: Extended Topics
Lecture 1: User Input
Lecture 2: Python Math Module
Lecture 3: Working with Datetime
Lecture 4: Regular Expressions
Chapter 9: Projects and Assessments
Instructors

Partha Roy
Senior Solution Architect with vast industry experience
Rating Distribution
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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