CF

Python for Beginners

2h 40m 33s
English
Paid

This course teaches you Python from the ground up. You start with simple ideas and build skill through clear steps. You learn by reading code, writing code, and fixing code.

What You Learn

You start with the basics. You learn what programming is and why Python is common in many fields. You also learn how to run Python with the interpreter.

Core Python Ideas

You work with data types, numbers, and variables. You learn how expressions and statements work. You also see how Python decides the order of operations.

Everyday Python Skills

You learn how to use strings. You format text, pick characters by index, and use escape sequences. You also practice type conversion, built‑in functions, and logical values.

Hands-On Practice

You solve short tasks during the course. These tasks help you build real skill, not just theory.

What You Can Do After

You will understand Python basics. You will write simple programs and use Python with more confidence. These skills help you start your own small projects and keep learning.

Additional

  • https://github.com/aneagoie/All-Python-codes-of-ZTM-course-by-Andrei-Neagoie
  • https://github.com/aneagoie/ztm-python-cheat-sheet

IMPORTANT: Replit Code

In the course, I use a tool like Glot.io called Replit. It used to be a great online editor. HOWEVER, since recording the course, Replit has completely changed their interface and now they have turned to a full AI company with way too much magic that makes you PAY for their features.

Therefore, moving forward, although I use Replit in the videos in this first sections of this course, I recommend you use the below open source alternative that does the same thing but better now which I talked about: Glot.io (you do not need to create an account to use it)

About the Author: Zero To Mastery

Zero To Mastery thumbnail

Zero To Mastery (ZTM) is a Toronto-based online coding academy founded by Andrei Neagoie, originally a senior developer at large Canadian tech firms before turning to teaching full-time. The academy's signature is the cohort-based bootcamp track combined with a deep self-paced course library, all aimed at career-changers and self-taught developers preparing to land software-engineering roles at top companies.

The instructor roster has grown well beyond Andrei to include other senior practitioners: Daniel Bourke (machine learning), Aleksa Tešić (DevOps), Jacinto Wong, and others. Courses cover the full software-engineering career path: web development with React and Next.js, Python, machine learning and deep learning, DevOps and cloud, system design, mobile, and the algorithm / data-structure interview prep that gates engineering jobs.

The CourseFlix listing under this source carries over 120 ZTM courses spanning that full range. Material is paid; ZTM itself runs on a monthly / annual membership model. The teaching style favours long-form, project-based courses where students build complete portfolio-quality applications rather than disconnected feature tutorials.

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#1: Introduction
All Course Lessons (31)
#Lesson TitleDurationAccess
1
Introduction Demo
00:51
2
What Is A Programming Language?
06:25
3
Python Interpreter
07:05
4
How To Run Python Code
04:16
5
Our First Python Program
07:20
6
Python 2 vs Python 3
06:41
7
Why So Many Languages?
04:15
8
Exercise: How Does Python Work?
02:10
9
Learning Python
02:06
10
Python Data Types
04:47
11
Numbers
11:10
12
Math Functions
04:30
13
DEVELOPER FUNDAMENTALS: I
04:08
14
Operator Precedence
03:11
15
Optional: bin() and complex
04:03
16
Variables
13:13
17
Expressions vs Statements
01:37
18
Augmented Assignment Operator
02:50
19
Strings
05:30
20
String Concatenation
01:17
21
Type Conversion
03:04
22
Escape Sequences
04:24
23
Formatted Strings
08:24
24
String Indexes
08:58
25
Immutability
03:14
26
Built-In Functions + Methods
10:04
27
Booleans
03:22
28
Exercise: Type Conversion
08:23
29
DEVELOPER FUNDAMENTALS: II
04:43
30
Exercise: Password Checker
07:22
31
Let's Keep Learning Python Together!
01:10
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Frequently asked questions

What prerequisites should I have before enrolling in this course?
There are no formal prerequisites for this course. It is designed for complete beginners who want to learn Python from the ground up. A basic understanding of how to use a computer and navigate the internet would be helpful, but not required.
What kind of projects will I be able to build after completing this course?
After completing this course, you will be equipped to write simple Python programs. You will gain confidence in working with strings, numbers, and variables, enabling you to start your own small projects, such as basic calculators or text-based games.
Who is the target audience for this course?
This course is tailored for beginners who are new to programming and want to learn Python. It is also suitable for those looking to refresh their foundational Python skills or complement their knowledge with practical exercises.
How does this course compare to other beginner Python courses in terms of depth and scope?
This course focuses on foundational Python concepts, covering 31 lessons that include data types, expressions, variables, and everyday Python skills like string manipulation and logical operations. It provides both theoretical understanding and hands-on practice through exercises.
What specific tools or platforms will I learn to use in this course?
In this course, you will learn how to use the Python interpreter to run Python code. You will also become familiar with concepts such as expressions, statements, and built-in Python functions, which are crucial for programming in Python.
What topics are not covered in this course?
This course does not cover advanced Python topics such as object-oriented programming, web development, or data science applications. It is focused on building a solid foundation in Python basics for beginners.
How much time should I expect to commit to this course?
The course consists of 31 lessons with an unspecified total runtime, designed for gradual learning. Time commitment will vary based on your pace, but regular practice and review of concepts are recommended to maximize understanding and retention.