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GeeksforGeeks
geeksforgeeks.org › python › python-projects-beginner-to-advanced
Python Projects for Beginner to Advanced - GeeksforGeeks - GeeksforGeeks
These projects help you master web scraping tools and techniques, such as Scrapy, OpenCV, and other Python libraries. ... Below is a curated list of more than 15 practical project ideas that focus on automating everyday, boring, or time-consuming tasks. ... These projects help beginners and intermediates learn the basics of GUI development, event handling, and creating user-friendly interfaces, providing a solid foundation for more advanced Python applications.
Published   December 6, 2025
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Programiz
programiz.com › python-programming › examples
Python Examples | Programiz
This page contains examples of basic concepts of Python programming like loops, functions, native datatypes and so on.
Discussions

were can i find advance ( hardest ) python projects with source code ?
The hardest Python projects? Try Cython parts of CPython/NumPy, Django metaclasses or implementation of advanced statistical algorithms of SciPy and PyTorch written in Fortran or heavily optimized C++. Most of these were written by literal PhDs, some parts are understood by no more than a dozen of people. More on reddit.com
🌐 r/learnpython
26
83
September 15, 2022
Interesting topics for an advanced Python lecture - Python in Education - Discussions on Python.org
I was asked to give a lecture (with a presentation) to a group of people about Python. This class already has a curriculum for Python, and it’s quite long and involves a lot of topics. I was asked to give an advanced lecture, which is not part of the curriculum, about anything I want. More on discuss.python.org
🌐 discuss.python.org
1
July 23, 2024
What topics/concepts are considered to be advanced level of Python?
I'd say anything to do with threads/concurrency is relatively advanced. More on reddit.com
🌐 r/learnpython
32
52
October 29, 2024
How to go from beginner to advanced in python?
If you've fully completed Angela Yu's course all the way to the end, including all the capstone project, I certainly wouldn't consider you to be a beginner by any stretch of the imagination. If you've done 100 days of Code, then you'll need practise to keep getting better and learning more, but you'll at least be aware of most of the things needed to be a programmer. More on reddit.com
🌐 r/learnpython
34
58
March 11, 2024
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Real Python
realpython.com › tutorials › advanced
Advanced Python Tutorials – Real Python
Explore advanced Python topics like concurrency, metaprogramming, performance optimization, and CPython internals. For experienced developers.
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CERN
indico.cern.ch › event › 884989 › contributions › 3732167 › attachments › 1991200 › 3331806 › Advanced_Programming_with_Python.pdf pdf
Advanced Programming with Python
Decorators are functions dedicated to enhance functionality of a given function, e.g., check parameter inputs, format input ... # this is a co-process. This function creates a code waiting to be executed, when we assign x = abc_generator( ... Is used to allocate and release some sort of resource when we need it. Which means that before we start a block we open e.g. a file, and when we are going out, the file is automatically released. If we don't close, it remains open in a file system. Closing a program, it would close.
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Sanfoundry
sanfoundry.com › python-problems-solutions
1000+ Python Programming Examples | Sanfoundry
May 25, 2025 - Explore 1000+ Python programming examples with output and detailed explanations. Learn Python basics to advanced concepts with free programs at Sanfoundry.
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Dataquest
dataquest.io › blog › python-projects-for-beginners
Python Projects: 80+ Ideas for Beginners to Advanced (2026)
3 weeks ago - Use Python to build a Discord bot — This project is a bit more advanced because it introduces APIs, event-driven programming, and authentication, but it's a practical way to learn how Python interacts with real users and messages.
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GeeksforGeeks
geeksforgeeks.org › python › advanced-python-tutorials
Advanced Python Topics Tutorial - GeeksforGeeks
August 18, 2025 - Understanding iterables, iterators and generators is key to working efficiently with large datasets and streams of data. They enable lazy evaluation and memory-efficient looping essential for scalable Python programs.
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Cuantum
cuantum.tech › post › mastering-python-5-advanced-concepts-explained-with-realworld-examples
Mastering Python: 5 Advanced Concepts Explained with Real-World Examples | Cuantum Technologies
May 15, 2025 - Learn advanced Python concepts with real-world examples. This guide covers decorators, generators, context managers, asynchronous programming, and metaclasses with practical examples. Master these techniques with insights from "Python Become a Master.”
Find elsewhere
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GitHub
github.com › krother › advanced_python
GitHub - krother/advanced_python: Examples of advanced Python programming techniques · GitHub
Examples and Exercises for advanced Python programming techniques
Starred by 150 users
Forked by 44 users
Languages   Python 92.3% | Batchfile 6.5%
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Python.org
discuss.python.org › python in education
Interesting topics for an advanced Python lecture - Python in Education - Discussions on Python.org
July 23, 2024 - I was asked to give a lecture (with a presentation) to a group of people about Python. This class already has a curriculum for Python, and it’s quite long and involves a lot of topics. I was asked to give an advanced le…
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Python Course
python-course.eu › advanced-python
Intro to Advanced Python | Advanced | python-course.eu
As in various other areas of life and science, it is not easy to find and describe the dividing line between beginners and advanced learners in Python. On the other hand, it is also difficult to decide what the appropriate topics are for this part of the tutorial. Some topics are considered by some as particularly difficult, while others rate them as easy. Like the hiking trail in the picture on the right. For people with mountain experience it is a walk, while people without experience or with a strong feeling of dizziness are already dreadful at the sight of the picture.
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Medium
medium.com › @datamount › advanced-python-concepts-enhancing-your-codebase-f148e9b81837
Advanced Python Concepts: Enhancing Your Codebase | by DataMount | Medium
April 24, 2024 - These 11 advanced Python concepts — higher-order functions, lambda functions, type hinting, decorators, generator functions, magic methods, *args and **kwargs, comprehensions, context managers, async programming, and error handling — are ...
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GitHub
hsf-training.github.io › analysis-essentials › advanced-python › README.html
Advanced Python Tutorial — Analysis essentials documentation
Notebook 10 starts out with a repetition of the basics of Python. In notebook 11, advanced concepts like exceptions, context manager and the factory-pattern together with decorators is introduced. 12 is a tutorial about classes, especially on the focus of dunder (__meth__) methods and covers from simpler __len__ and add up to the advanced __getattr__. ... Notebook 20 introduced data loading with uproot, Pandas DataFrames as the default container for ...
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Tutorial Gateway
tutorialgateway.org › python-programming-examples
Python Programming Examples
April 28, 2025 - On this page, find a List of Python Programming Examples on Numbers, Area, Array, Matrix, Series, String, Tuple, set, Sort & ndarray Programs
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Plain English
plainenglish.io › blog › 13-advanced-python-scripts-for-everyday-programming-1a52acb84101
13 Advanced Python Scripts For Everyday Programming
December 7, 2021 - # pip install pytesseract import pytesseract from PIL import Image pytesseract.pytesseract.tesseract_cmd = r'C:\Program Files\Tesseract-OCR\tesseract.exe' t=Image.open("img.png") text = pytesseract.image_to_string(t, config='') print(text) This simple advanced script will convert your Photo into Cartonize format. Check out the below example code and Try it. # pip install opencv-python import cv2 img = cv2.imread('img.jpg') grayimg = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY) grayimg = cv2.medianBlur(grayimg, 5) edges = cv2.Laplacian(grayimg , cv2.CV_8U, ksize=5) r,mask =cv2.threshold(edges,100,255,cv2.THRESH_BINARY_INV) img2 = cv2.bitwise_and(img, img, mask=mask) img2 = cv2.medianBlur(img2, 5) cv2.imwrite("cartooned.jpg", mask)
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StrataScratch
stratascratch.com › blog › a-comprehensive-guide-to-advanced-python-concepts
A Comprehensive Guide to Advanced Python Concepts - StrataScratch
October 12, 2023 - Advanced Python explained in a way that even beginners can get it. We’ll give you an overview of the concepts and then dedicate a separate article to each.
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w3resource
w3resource.com › python-exercises › advanced › index.php
Advanced Python Exercises and Solutions
This resource offers a total of 120 Python Advanced problems for practice. It includes 24 main exercises, each accompanied by solutions, detailed explanations, and four related problems. [An Editor is available at the bottom of the page to write and execute the scripts.] ... Write a Python program to implement a multi-threaded web scraper that respects robots.txt rules.
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Reddit
reddit.com › r/learnpython › what topics/concepts are considered to be advanced level of python?
r/learnpython on Reddit: What topics/concepts are considered to be advanced level of Python?
October 29, 2024 -

I’ve started learning OOP concept, especially classes, currently I’m learning iterators and generators, soon will start learning decorators and I wonder if knowledge of those is considered to be an advanced or still basic. And if it’s still basic, what is considered to be advanced knowledge of Python?

P.s. if it’s easier for you you can split topics into language levels (A1, A2, B1, B2, C1, C2)

UPD: Thanks everyone for your replies! If you’re interested in how ChatGPT decided to arrange concepts according to language levels (A1-C2), here is the reply:

•	A1: Basic syntax, variables, data types (int, float, str), basic arithmetic and string operations, conditional statements (if, else, elif), loops (for, while), simple functions (definition and calling).
•	A2: Lists and tuples (creation, element access, basic list methods like append and remove), dictionaries (creation and element access), file operations (basic read and write with text files).
•	B1: Modules and packages (importing standard libraries like math, datetime), exception handling (try, except), list comprehensions (syntax and use cases).
•	B2: OOP (Object-Oriented Programming: defining classes and objects, encapsulation, inheritance, polymorphism), decorators (definition and application to functions), generators (yield keyword and usage).
•	C1: Working with libraries and frameworks (using libraries like NumPy, Pandas, Flask, Django), asynchronous programming (async, await), unit testing (with unittest and pytest).
•	C2: Metaprogramming (using metaclasses and other advanced concepts), parallel and multithreaded programming (threading, multiprocessing), advanced API and web technologies (creating RESTful APIs, working with requests and Flask).
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Quora
quora.com › What-are-some-advanced-Python-programming-concepts-or-techniques-that-you-find-most-fascinating-or-challenging
What are some advanced Python programming concepts or techniques that you find most fascinating or challenging? - Quora
Finding problems where it’s a good fit is the first hurdle, but I’ve noticed it can crop in a lot in boards game conversions. For example: this card behaves like that card and that card.