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Python for Beginners

2h 40m 33s
English
Paid

Python for Beginners is a 31-lesson 2 hours 40 minutes self-paced course by Zero To Mastery. This course teaches you Python from the ground up.

Course facts

Lessons
31
Duration
2 hours 40 minutes
Level
All levels
Language
English
Updated
Instructor
Zero To Mastery
Price
Premium

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)

Who teaches Python for Beginners? 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.

What lessons are included in Python for Beginners?

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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 are needed before starting the Python for Beginners course?
The course is designed for complete beginners, so no prior programming experience is required. Basic computer skills, such as navigating files and using a text editor, are helpful, but all fundamental programming concepts are covered from the ground up.
What projects or exercises will I complete during the course?
Throughout the course, you will engage in hands-on practice through short tasks like writing and fixing code. These exercises, such as the 'Password Checker', are designed to help you build practical coding skills and reinforce your understanding of programming concepts.
Who is the target audience for this Python course?
This course targets individuals who are new to programming and want to learn Python. It is suitable for anyone looking to understand Python's basics and gain the confidence to start small projects or continue learning more advanced topics.
How does the depth of this course compare to other beginner programming courses?
The course focuses on foundational concepts such as data types, variables, expressions, and control structures. It emphasizes understanding Python's syntax and logic, making it a solid starting point compared to more specialized courses that may dive deeper into specific areas.
Does this course cover Python 2 or Python 3?
The course covers Python 3, which is the current and recommended version of Python for new learners. It includes a lesson on Python 2 vs Python 3 to help learners understand the differences and why Python 3 is preferred.
What topics are not covered in this Python course?
The course does not cover advanced Python topics such as object-oriented programming, web development frameworks, or data science libraries. Its focus is on teaching the basics to provide a strong foundation for future learning in these areas.
How much time should I commit to complete the course?
The course consists of 31 lessons with a runtime labeled as 00:00:00, suggesting flexibility in completion time. Learners are encouraged to spend time on each lesson and exercise to fully grasp the concepts. A few hours a week should suffice for most beginners.