Learn Python in 2 Hours (2024)
- Development
- Apr 29, 2025

Learn Python in 2 Hours (2024), available at $49.99, has an average rating of 4.35, with 62 lectures, based on 57 reviews, and has 3878 subscribers.
You will learn about Become proficient in Python Get all the skills to demonstrate expertise in Python programming Be able to program in Python professionally Learn Python in 2 hours This course is ideal for individuals who are Beginners Programmers – Those who want to Master Python Programming Skills or Python Programmers – Those who want to enhance their Python Programming Skills. or Students and Engineers – Those who are enrolling in Python as an academic course. or Professional Programmers – Those who want to switch to Python Programming. It is particularly useful for Beginners Programmers – Those who want to Master Python Programming Skills or Python Programmers – Those who want to enhance their Python Programming Skills. or Students and Engineers – Those who are enrolling in Python as an academic course. or Professional Programmers – Those who want to switch to Python Programming.
Enroll now: Learn Python in 2 Hours (2024)
Summary
Title: Learn Python in 2 Hours (2024)
Price: $49.99
Average Rating: 4.35
Number of Lectures: 62
Number of Published Lectures: 61
Number of Curriculum Items: 62
Number of Published Curriculum Objects: 61
Original Price: $19.99
Quality Status: approved
Status: Live
What You Will Learn
Who Should Attend
Target Audiences
Welcome to the 2-Hour Python Course by Studyopedia !!!
In this Video Course, learn Python and its concepts. We have covered Python Basics and Advanced concepts in this course. It consists of 20 sections, 60 lessons, and live running source codes (downloadable), including Functions, Classes and objects, Dictionary, Lists, Sets, Tuples, etc,
Python is a powerful, interpreted, object-oriented programming language. It is used in many areas for development and is considered a perfect language for scripting. A high-level programming language developed by Guido van Rossum and first released in 1991. More than 75% of programmers considered Python a must-have Data Science skill.
***Python Features***
Open Source
High-level programming language
Multiple Programming-paradigms
(object-oriented, functional programming, imperative, etc.)
Interpreted language
Dynamically Typed
Cross-Platform
Lesser LOC (Line of codes)
***Python Version***
We have covered Python 3.12 and all the examples are being implemented on PyCharm (Community Edition), a free and open-source Python IDE.
***Lesson Covered ***
1. Python – Introduction
2. Install Python on Windows
3. Python – Variables
4. Python – Scope of Variables
5. Python – Operators
6. Python – Comments
7. Python – Type Conversion
8. Python – Get User Input
9. Python – Decision-Making Statements
10. Python – break and continue statements
11. Python – Loops
12. Python – Numbers
13. Python – Strings
14. Python – Functions
15. Python – Lambda Functions
16. Python – Classes and Objects
17. Python – Tuples
18. Python – Dictionary
19. Python – Lists
20. Python – Sets
Let’s start the journey!
Hit the Enroll button!
Course Curriculum
Chapter 1: Python – Introduction
Lecture 1: Introduction & Features
Chapter 2: Install Python on Windows 10/11
Lecture 1: Install Python on Windows
Lecture 2: Install PyCharm Community Edition (free and open-source)
Lecture 3: Setup Python Interpretor in PyCharm
Lecture 4: Run first Python Project on PyCharm
Chapter 3: Python Variables
Lecture 1: What are Variables in Python?
Lecture 2: Variables – Example
Chapter 4: Python – Scope of Variables
Lecture 1: What are Scope of Variables?
Lecture 2: Local Scope
Lecture 3: Global Scope
Lecture 4: Global Keyword
Chapter 5: Python – Operators
Lecture 1: What are Operators?
Lecture 2: Arithmetic Operators
Lecture 3: Assignment Operators
Lecture 4: Logical Operators
Lecture 5: Identity Operators
Lecture 6: Membership Operators
Lecture 7: Bitwise Operators
Chapter 6: Python – Comments
Lecture 1: What are Comments?
Lecture 2: Single and Multiline Comments
Chapter 7: Type Conversion in Python
Lecture 1: What is Type Conversion
Lecture 2: 3 Coding Examples
Chapter 8: Python – Get User Input
Lecture 1: How to get user input (with example)
Chapter 9: Python – Decision Making Statements
Lecture 1: What are Decision Making Statements in Python?
Lecture 2: if statement
Lecture 3: ifelse statement
Lecture 4: ifelifelse
Chapter 10: Python – break and continue statements
Lecture 1: break statement
Lecture 2: continue statement
Chapter 11: Python – Loops
Lecture 1: What are Loops?
Lecture 2: while loop
Lecture 3: for loop
Chapter 12: Python – Numbers
Lecture 1: What are Numeric Datatypes?
Lecture 2: Types – Integer, Long, Float, Complex Datatypes
Chapter 13: Python – Strings
Lecture 1: What are strings?
Lecture 2: Create a String in Python
Lecture 3: String Literals
Lecture 4: Slicing in Strings
Lecture 5: Negative Indexing
Chapter 14: Python – Functions
Lecture 1: What are Functions?
Lecture 2: Create a Function
Lecture 3: Function Parameters
Lecture 4: Recursion
Lecture 5: The Return Statement
Chapter 15: Python – Lambda Functions
Lecture 1: What are Lambda Functions?
Lecture 2: 5 Coding Examples
Chapter 16: Python – Classes and Objects
Lecture 1: What are Class & Objects in Python?
Lecture 2: What is a class? How to create?
Lecture 3: What is an object?
Lecture 4: EXAMPLES – Classes and Objects
Lecture 5: _init_() Function
Chapter 17: Python – Tuples
Lecture 1: What are Tuples
Lecture 2: Tuples vs Lists
Lecture 3: Create a Tuple
Chapter 18: Python – Dictionary
Lecture 1: What are Dictionaries
Lecture 2: How to Create Dictionaries
Chapter 19: Python – Lists
Lecture 1: What are Lists?
Lecture 2: Tuples vs Lists
Lecture 3: How to Create a List
Chapter 20: Python – Sets
Lecture 1: What are Sets?
Lecture 2: How to create a Set
Instructors

Studyopedia Trainings
Studyopedia Team
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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