Python for Absolute Beginners- Learn Python in a Week!
- Development
- Apr 24, 2025

Python for Absolute Beginners: Learn Python in a Week!, available at $84.99, has an average rating of 4.61, with 120 lectures, 20 quizzes, based on 1693 reviews, and has 5347 subscribers.
You will learn about Go from a total beginner to a confident Python programmer Understand and implement basic Python Code Automate Tasks on the computer by writing simple Python Programs Build Python Projects Be able to program in Python professionally This course is ideal for individuals who are Complete Programming Beginners who have never programmed before or People with willingness for learning or Students transitioning over from another programming language to Python or Office workers, students, and administrators would want to improve their productivity or This course is a language tutorial, not a reference, and not an application course It is particularly useful for Complete Programming Beginners who have never programmed before or People with willingness for learning or Students transitioning over from another programming language to Python or Office workers, students, and administrators would want to improve their productivity or This course is a language tutorial, not a reference, and not an application course.
Enroll now: Python for Absolute Beginners: Learn Python in a Week!
Summary
Title: Python for Absolute Beginners: Learn Python in a Week!
Price: $84.99
Average Rating: 4.61
Number of Lectures: 120
Number of Quizzes: 20
Number of Published Lectures: 120
Number of Published Quizzes: 19
Number of Curriculum Items: 140
Number of Published Curriculum Objects: 139
Number of Practice Tests: 1
Number of Published Practice Tests: 1
Original Price: $89.99
Quality Status: approved
Status: Live
What You Will Learn
Who Should Attend
Target Audiences
COMPLETELY REDONE IN 2022, WITH OVER 75 BRAND-NEW VIDEOS! (with Python 3.9)
Start coding in Python immediately!
If you are a beginner in Programming, then this course will help you learn Python Programming fast. Python is an incredibly efficient language: your programs will do more in fewer lines of code than many other languages would require. It is also used in scientific fields for academic research and applied work.
Why you should take this Python course:
It’s the Perfect Length:The course is just 9 hours long, so you’ll actually be able to finish it and get your certificate.
It’s Practical:You actually use Python to create things. You can see you’ve understood because you make Python projects that work!
My goal was to create a Course for people of any age who have never programmed in Python before or have never programmed at all, so you can build programs that work.
The course is full of examples and projects that are carefully chosen to demonstrate each concept so that you can gain a deeper understand of the language. It is designed to serve as a single, all-inclusive learning resource for all Python newcomers, whether they will be using Python 2.X, Python 3.X, or both
We cover a wide variety of topics, including:
Command Line Basics
Installing Python
Running Python Code
Strings
Lists
Dictionaries
Tuples
Sets
Number Data Types
Print Formatting
Functions
Scope
Built-in Functions
Debugging and Error Handling
Modules
Object Oriented Programming
Inheritance
File I/O
Advanced Methods
and much more!
Are you looking to learn practical Python Programming you can put to use instantly? If so, then this is the course for you. It’s entirely project based and it’s full of examples which are fully explained and easy to understand. It has been recorder in full HD 1080p. If you get stacked don’t worry. I have fast and fully support through the discussion board.
Try out the course for a full 30 days, with a Udemy-approved Zero Risk, 30 Day 100% Money Back Guarantee! You have absolutely nothing to lose and everything to gain!
At the end of this Python class you will be given a Certificate of Completion.
Python is a great language to learn, so enroll in this course and let’s get started!
Course Curriculum
Chapter 1: Course Overview
Lecture 1: Introduction
Lecture 2: Course Resources & Important Notes for New Students
Lecture 3: Why Learn Python?
Lecture 4: Five (5) Beginner Tips for Learning Python Programming
Chapter 2: Setting Up Python
Lecture 1: Download & Install Python 3 (Windows)
Lecture 2: Download & Install Python 3 (masOS & Ubuntu Linux)
Lecture 3: Using the Python Shell
Lecture 4: REPLIT: A Powerful Online IDE (Python Editor)
Chapter 3: Your First Python Program
Lecture 1: Hello World! – Writing our First Program
Lecture 2: CHALLENGE: Interact with IDLE (Python Shell)
Lecture 3: Variables
Lecture 4: Adding Comments
Lecture 5: How to Find Help
Chapter 4: Strings and String Methods
Lecture 1: What is a String?
Lecture 2: String Indexing
Lecture 3: String Slicing
Lecture 4: String Concatenation
Lecture 5: Exercise: String Concatenation
Lecture 6: Manipulate Strings with Methods
Lecture 7: String Formatting
Lecture 8: F-Strings: An Improved String Formatting Syntax
Lecture 9: Print() Formatting Methods
Lecture 10: Interact With User Input()
Lecture 11: PROJECT: Create a Receipt Printing Program
Lecture 12: Exercise : Strings
Chapter 5: Numbers and Math
Lecture 1: Arithmetic & Comparison Operators
Lecture 2: Logical (Boolean) & Chained Comparison Operators
Lecture 3: Exercise 2: Operators & Variables
Lecture 4: Integers
Lecture 5: Floating Point Numbers & Complex Numbers
Lecture 6: Converting Strings to Numbers
Lecture 7: Reading Numbers with the Input Function
Lecture 8: CHALLENGE: The Remainder Operator
Lecture 9: CHALLENGE: Calculating a Percentage
Lecture 10: CHALLENGE: Calculating an Average
Lecture 11: CHALLENGE: Converting a Math Formula to a Programming Statement
Chapter 6: Lists – Tuples – Dictionaries – Sets
Lecture 1: What is a List?
Lecture 2: Working with Lists
Lecture 3: Making Numerical Lists
Lecture 4: Printing Lists
Lecture 5: Exercise: Lists
Lecture 6: Tuples
Lecture 7: Tuple Assignment, Packing, and Unpacking
Lecture 8: Working with Dictionaries
Lecture 9: Sets
Lecture 10: Exercise 7: Dictionaries
Lecture 11: Summary
Chapter 7: Statements and Loops
Lecture 1: If Statements
Lecture 2: EXAMPLES of Using the if Statement in an Application
Lecture 3: Break & Continue
Lecture 4: for Loops
Lecture 5: EXAMPLES of Using the for Statement
Lecture 6: while Loops
Lecture 7: Exercise 4: for Loops
Lecture 8: Exercise 5: if statement
Lecture 9: PROJECT: Guessing Game
Lecture 10: Summary
Chapter 8: Advanced Methods of Lists & Dictionaries
Lecture 1: Using if Statements with Lists
Lecture 2: Using for Loops with Lists
Lecture 3: Using a while Loop with Lists and Dictionaries
Lecture 4: Creating Stacks Using Lists
Lecture 5: Searching and Sorting Lists
Lecture 6: Looping Through a Dictionary
Lecture 7: Replacing the switch statement with a dictionary
Lecture 8: Working with the Counter Object
Chapter 9: Functions
Lecture 1: What are Functions?
Lecture 2: Built-In Functions
Lecture 3: List of Python Built-In Functions
Lecture 4: Defining your Own Function
Lecture 5: More Built-In Functions
Lecture 6: Exercise 6: Adding Evens
Lecture 7: Global and Local Scopes
Lecture 8: Summary
Lecture 9: Exercise 7: Functions
Lecture 10: PROJECT: Improved Guessing Game (version 2) – PART 1
Lecture 11: PROJECT: Improved Guessing Game (version 2) – PART 2
Lecture 12: PROJECT: Improved Guessing Game (version 2) – PART 3
Instructors

Andreas Exadaktylos
Best Selling Teacher | Msc Computer Scientist
Rating Distribution
Frequently Asked Questions
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