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https://github.com/mateuszk098/python-learning-notes
Part of notes/scripts used during python learning - from the easiest up to advanced topics.
https://github.com/mateuszk098/python-learning-notes
algorithm-challenges algorithms data-structures exercises hackerrank hackerrank-solutions learning learning-exercise learning-python oop python python3 scripts-collection solutions
Last synced: 8 days ago
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Part of notes/scripts used during python learning - from the easiest up to advanced topics.
- Host: GitHub
- URL: https://github.com/mateuszk098/python-learning-notes
- Owner: mateuszk098
- License: unlicense
- Created: 2022-10-13T14:28:45.000Z (about 2 years ago)
- Default Branch: master
- Last Pushed: 2024-11-02T18:00:33.000Z (12 days ago)
- Last Synced: 2024-11-02T19:16:41.571Z (12 days ago)
- Topics: algorithm-challenges, algorithms, data-structures, exercises, hackerrank, hackerrank-solutions, learning, learning-exercise, learning-python, oop, python, python3, scripts-collection, solutions
- Language: Python
- Homepage:
- Size: 33.8 MB
- Stars: 0
- Watchers: 2
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# **Python Learning Notes**
![GitHub last commit](https://img.shields.io/github/last-commit/mateuszk098/python_learning_tools)
**That is a place where you get through Python from the beginning up to the end.**
## **What can you find here? 🐍**
- **[Algorithms & Data Structures](https://github.com/mateuszk098/python_learning_tools/tree/master/algorithms_and_data_structures)** - Data structures and problems discussed in "_Algorytmy w Pythonie_" by Piotr Wróblewski, and problems from [HackerRank](https://www.hackerrank.com/domains/algorithms) website. This section covers topics such as text searching, sorting, usage of dynamic programming, use of greedy, and implementation of various data structures such as linked lists, databases, graphs, binary search trees, etc.
- **[Beyond the Basic Stuff](https://github.com/mateuszk098/python_learning_tools/tree/master/beyond_the_basic_stuff)** - Problems discussed in "_Beyond the Basic Stuff with Python_" by Al Sweigart. This section covers a little bit more interesting topics and best practices in Python language. We can find something out about Big-O, profiling the code, higher-order functions, what we shouldn't do in Python, esoteric Python oddities, OOP and inheritance, including multiple inheritance (MRO - method resolution order).
- **[Different Things](https://github.com/mateuszk098/python_learning_tools/tree/master/different_things)** - Small scripts that don't fit anywhere else.
- **[Fluent Python](https://github.com/mateuszk098/python_learning_tools/tree/master/fluent_python)** - Problems discussed in "_Fluent Python. 2nd Edition_" by Luciano Ramalho. This section covers advanced topics which allow you to truly master Python skills. It covers data structures, functions as objects, object-oriented idioms, control flow and metaprogramming.
- **[Hacker Rank](https://github.com/mateuszk098/python_learning_tools/tree/master/hacker_rank)** - Solutions to Python tasks from [HackerRank](https://www.hackerrank.com/domains/python) website.- **[Packages Creation](https://github.com/mateuszk098/python_learning_tools/tree/master/packages_creation)** - How to create Python packages and get access to different modules from another module.
- **[Python Crash Course](https://github.com/mateuszk098/python_learning_tools/tree/master/python_crash_course)** - Solutions to tasks from "_Python Crash Course_" by Eric Matthes. This section includes the total basics of Python language.
- **[Python in Science](https://github.com/mateuszk098/python_learning_tools/tree/master/python_in_science)** - Applications of different libraries in science problems. Here we can find different problems using libraries such as Matplotlib, Numpy, Asyncio, BeautifulSoup, Pandas, Bokeh, Selenium, Numba, etc.
- **[Useful Tips](https://github.com/mateuszk098/python_learning_tools/tree/master/useful_tips)** - Interesting "_pythonic_" solutions for small elements of code, which I've encountered.