Learn Python for Total Beginners
- Development
- Apr 25, 2025

Learn Python for Total Beginners, available at Free, has an average rating of 4.19, with 32 lectures, based on 5884 reviews, and has 185396 subscribers.
You will learn about What lists, tuples and dictionaries are, and how to use them How to apply control flow (logic) to code Create and implement functions How to use for loops and while loops How to format strings Work with txt files This course is ideal for individuals who are Newbies to programming or new to Python It is particularly useful for Newbies to programming or new to Python.
Enroll now: Learn Python for Total Beginners
Summary
Title: Learn Python for Total Beginners
Price: Free
Average Rating: 4.19
Number of Lectures: 32
Number of Published Lectures: 32
Number of Curriculum Items: 32
Number of Published Curriculum Objects: 32
Original Price: Free
Quality Status: approved
Status: Live
What You Will Learn
Who Should Attend
Target Audiences
This course teaches you the fundamentals of any programming language, with Python 3 and Anaconda with Jupyter Notebook!
The course is suitable for those are either completely new to programming, or are coming from another programming language (R, JavaScript, etc) and are keen to get a solid grasp of using Python.
You’ll be learning:
Installing Jupyter Notebook IDE
Using all the vital features of Jupyter Notebook
Variables and comparison operators
Strings, slicing and formatting
Lists, Dictionaries and Tuples
Control flow (if, elif, else)
Advanced for loops and while loops
Functions and built-in functions
Working with text files
There are a total of 5 exercises between sections 3 to 7 with brain teasing tasks, along with full solutions provided in both lectures and in pdf format.
This is a taster of multiple up and coming courses I have in the pipeline, primarily in Python, but also other programming languages which will be released very soon!
If you enjoy this course, checkout my full Python for Developers 2023 course (coming soon).
P.S. I’d appreciate a 5 star review for this free course as that would help me out a lot to create to more content. If you’d rather give a low review, please do so after completing at least 50% of the course. Thanks and see in the course!
Course Curriculum
Chapter 1: Introduction
Lecture 1: Installing Jupyter Notebook with Python
Lecture 2: Command Terminal (PC + MAC)
Lecture 3: Overview of Jupyter Notebook (with PC + MAC short-cuts)
Chapter 2: BASICS
Lecture 1: Variables and Mathematical Operators
Lecture 2: Boolean and Comparison Operators (new version)
Lecture 3: Strings and Len (new version)
Lecture 4: Slice, Split and Join
Lecture 5: Formatting Strings (new version)
Chapter 3: DATA STRUCTURES
Lecture 1: Lists and Range
Lecture 2: Tuples and Built-in Functions
Lecture 3: Dictionaries (new version)
Lecture 4: Exercise
Lecture 5: Solutions
Chapter 4: CONTROL FLOW
Lecture 1: Control Flow (if, elif, else)
Lecture 2: Exercise
Lecture 3: Solutions
Chapter 5: LOOPS
Lecture 1: For Loops
Lecture 2: While Loops
Lecture 3: Loops with Control Flow
Lecture 4: Break, Pass, and Continue
Lecture 5: Zip and Enumerate
Lecture 6: Exercise
Lecture 7: Solutions
Chapter 6: FUNCTIONS
Lecture 1: Functions
Lecture 2: Random module
Lecture 3: Built-in Functions
Lecture 4: Exercise
Lecture 5: Solutions
Chapter 7: FILES (BONUS)
Lecture 1: Working with txt Files
Lecture 2: Exercise
Lecture 3: Solutions
Lecture 4: Whats Next? [MY OTHER COURSES}
Instructors

Michael S Russell
Instructor and Entrepreneur
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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