Mastering Python - Everything You Need To Know To Become a Python Master

So what does it take to be a master at python? In this video I’ll list all of the skills and topics I think you need to know to master the python language and be an expert python programmer. Python has many different features and topics, hopefully this video will introduce you to something new you can learn!

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⭐️ Timestamps ⭐️
00:00 – Introduction
00:45 – Introduction Animation
00:54 – Video Resources
1:18 – Basic Skills
4:40 – Intermediate Skills
9:50 – Advanced Skills
13:25 – Expert/Master Skills

🔗 Resources 🔗
The Complete Python Course:
Machine Learning and AI Mega Course:
Threading Tutorials:
Python OOP:
Expert Python:
Intermediate Python:
Beginner Python:

📘 List of Topics 📘
– Variables
– Conditions
– Chained Conditionals
– Operators
– Control Flow (If/Else)
– Loops and Iterables
– Basic Data Structures
– Functions
– Mutable vs Immutable
– Common Methods
– File IO

– Object Oriented Programming
– Data Structures
– Comprehensions
– Lambda Functions
– Map, Filter
– Collections
– *args & **kwargs
– Inheritance
– Dunder Methods
– Environments
– Modules
– Async IO

– Decorators
– Generators
– Context Managers
– Metaclasses
– Concurrency
– Parallelism
– Testing
– Packages
– Cython

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48 thoughts on “Mastering Python – Everything You Need To Know To Become a Python Master”
  1. Wait but what about different directories and all this stuff? What should we learn and when? I think it's kind of mandatory to know how to use some directories in python

  2. This video is like a torchlight in the darkness.
    It told me exactly where I am in learning python and at the same time gave me an idea of roadmap of
    becoming an expert in python.
    I have just completed OOP and I am currently at Intermediate level.
    Knowing this I feel a certain urge to learn more in Python. Thanks to your video.
    Actually I am not computer science student. I am in 3rd and final year of my graduation and I
    have changed my field to Data Analyst and so I am learning Python.
    This video helped me a lot and gave an insight into where I am in this python learning process.

  3. I wish my college programming course could recommend this video for programming learning roadmap.

  4. This video was recommended to me, I just started learning Python can you please point me in the right direction on videos to help guide me ( I like the way you explain this very clear)

  5. Are there any classes, either at university or internet that go through these concepts, teaching them throught project oriented lessons? This video itself has taught me a good beyond many other classes I've taken. Any insight appreciated.

  6. You missed user input, typecasting, Math module, arrays in numpy, classes and objects, and some extras like Tkinter module and connecting to database etc. (I'm a beginner pythonist 😊BTW)

  7. After seeing your face for a while, it is bothering me that you look like Mike from 'Suits' on Netflix. That aside, thanks for this really informative video. I am glad to have found a good channel to begin my coding journey. Thanks and I really appreciate the effort.

  8. Just a quick thank you Tim. I've watched a lot of your videos and always learn something. You have a great teaching style and I really appreciate you offering so many great tutorials for free. People like you are what make the tech community so great. Good on you partner!

  9. I would not say that I am an expert in classes but I have been reading a book on OOP for about a month now. I am learning a lot about classes and inheritance . I am not sure I fully understand a supper class , parent class , child class etc… I do know that a mixed class is a class that has 2 or more arguments seperated by commas like this

    class example (argument,argument) :
    def __init__(self) :
    self . attribute
    self. attribute
    self. method
    self. method
    possible return value (not mandatory)
    but that is pretty much my understanding of classes.
    I know what strings are in python but my understanding of strings are limited
    I have down if statements and input and I can print to the screen. there is a lot more that I know but I am not going to write everything that I know because it would take forever

  10. Thanks for making these things so easy to understand! I enjoyed your curses tutorial, so now I'm watching this.

  11. Hi mate great explanation , Can you make a video on Jython , like you have discussed about cython, Can we use Java with python , and how it can be implemented just an overview, Thanks

  12. Thank you Tim! This helped me realize that I know most of the basics except chained conditional and file io. And mostly just need to practice the basics.

  13. Can you make a video for resources that are needed for Data Engineering especially? I want to practice Python with data pipelines especially. 🙂

  14. I love that list, however I'm missing
    – Proper exception handling (try, except)
    – Logging
    as intermediate topics. For me these two were essential for creating robust code.

  15. Yeah you can do it this way and learning it step by step, or you do it like me and just start with some C++ knowledge and directly jump into machine learning and AI, not the easiest way probably, but a very rewarding one

  16. This was very interesting. Good to get an overview over most of the important python concepts!
    Great work! I'm definitely going to use this while learning

  17. I’m a JavaScript programmer thinking of learning python…I did start with python before moving to JavaScript but rn I don’t think I can remember anything in python anymore as I’ve been using JavaScript for many years and not touched python for so long.
    How long do you think it’ll take me to learn python and get comfortable?

  18. — Basic —
    – Variables
    – Conditions
    – Chained Conditionals
    – Operators
    – Control Flow (If/Else)
    – Loops and iterables
    – Basic Data Structure
    – Functions
    – Mutable vs. Immutable
    – Common Methods
    – File IO

    — Intermediate —
    – Comprehensiona
    – Lambda
    – Collections Module
    – Map and Filter
    – *args and **kwargs
    – Inheritance
    – Advanced Class
    – Behaviour
    – PIP
    – Environments
    – Module Creation
    Async IO

    — Advanced —
    – Decorators
    – Genrerators
    – Context Managers
    – Metaclass
    – Concurrency
    – Parallelism
    – Testing
    – Packages
    – Cython

    — Expert/Master —
    – How Python is built
    – Where are you using your skills?
    – Apply skills to a profession

  19. Good and comprehensive. I’d argue with some of the categorization you made. Unit testing should be in the basic/intermediate. Please always leave testing for the end and code should be testable. And then design patterns. That should go into the expert. Design patterns are usually used by software engineers to architect a full software solution and knowing all design patterns and their implementation could save you lots of time and money as well as writing proper code.
    Las but not least, algorithms and how to implement them in python and using them! Algorithms is what will help you pass those job interviews at MAANG

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