# Python Programming Language and Resources to Learn > Click :star: if you like the project. Pull requests are highly appreciated. Follow [@OmBharatiya](https://github.com/ombharatiya) for more updates. > **More from this repo**: [All guides](./README.md) | [Latest company questions](./FAANG-Recent-Questions.md) | [AI labs](./AI-Companies-Interview-Questions.md) | [System design](./SYSTEM_DESIGN_INTERVIEW.md) | [ML interviews](./ML_INTERVIEW_PREP.md) | [Blind 75](./Blind-75.md) | [NeetCode 150](./NeetCode-150.md) --- 1. ### Best YouTube Channels to Learn | No. | Channel | | --- | --------- | |1 | [Complete Python Tutorial for Beginners by Telusko](https://youtube.com/playlist?list=PLsyeobzWxl7poL9JTVyndKe62ieoN-MZ3) | |2 | [Python Programming Beginners by Corey Schafer](https://youtube.com/playlist?list=PL-osiE80TeTskrapNbzXhwoFUiLCjGgY7) | |3 | [Python for Beginners by Mosh](https://youtu.be/_uQrJ0TkZlc) | |4 | [Python for Beginners in Hindi by CodeWithHarry](https://www.youtube.com/watch?v=aqvDTCpNRek&list=PLu0W_9lII9agICnT8t4iYVSZ3eykIAOME) | |5 | [Python for Coding Interviews: Everything You Need to Know by NeetCode](https://www.youtube.com/watch?v=0K_eZGS5NsU) : Stdlib tour aimed at LeetCode, not a beginner course | |6 | [Learn Python: Full Course for Beginners by freeCodeCamp](https://www.youtube.com/watch?v=rfscVS0vtbw) | |7 | [Python Full Course for Free by Bro Code](https://www.youtube.com/watch?v=ix9cRaBkVe0) | 2. ### Best GitHub Learning Resources | No. | Repository | | --- | --------- | |1 | [30 days of Python](https://github.com/Asabeneh/30-Days-Of-Python) : A Step-by-step guide to learn Python programming language in 30 days.| |2 | [Learn Python](https://github.com/trekhleb/learn-python) : Playground and cheatsheets for learning Python, split by topics and contain code examples with explanations. | |3 | [Python Mini Projects](https://github.com/Python-World/python-mini-projects): A collection of simple python projects. Archived and read-only since 2022, still useful as practice material | |4 | [WTF Python](https://github.com/satwikkansal/wtfpython): Explains some counter-intuitive snippets and lesser-known features in Python | |5 | [Python Basics](https://github.com/learning-zone/python-basics): Python fundamentals and interview questions. The old python-interview-questions repository was renamed to this | |6 | [Python reference](https://github.com/rasbt/python_reference): Useful functions, tutorials, and other Python-related things. Last updated 2022 | |7 | [The Algorithms: Python](https://github.com/TheAlgorithms/Python): Reference implementations of standard algorithms and data structures, actively maintained. Read one after you solve the problem, not before | |8 | [Interactive Coding Challenges](https://github.com/donnemartin/interactive-coding-challenges): 120+ Python interview challenges as Jupyter notebooks, with Anki flashcards. Last updated 2024 | |9 | [Python Patterns](https://github.com/faif/python-patterns): Design patterns in idiomatic Python, useful for low-level design rounds | 3. ### Best Udemy Courses | No. | Course | | --- | --------- | |1 | [Complete Python Bootcamp](https://www.udemy.com/course/complete-python-bootcamp/)| |2 | [Python and Django Full Stack Web Developer Bootcamp](https://www.udemy.com/course/python-and-django-full-stack-web-developer-bootcamp/): Last updated 2019 | |3 | [REST APIs with Flask and Python](https://www.udemy.com/course/rest-api-flask-and-python/) | |4 | [Python A-Zā„¢: Python For Data Science With Real Exercises!](https://www.udemy.com/course/python-coding/) | |5 | [Python for Finance: Investment Fundamentals & Data Analytics](https://www.udemy.com/course/python-for-finance-investment-fundamentals-data-analytics/) | |6 | [Machine Learning A-Z: ML, DL, AI with AWS, Python & R](https://www.udemy.com/course/machinelearning/) | |7 | [Python for Data Structures, Algorithms, and Interviews!](https://www.udemy.com/course/python-for-data-structures-algorithms-and-interviews/): Jose Portilla. Last updated 2022 | 4. ### Python for Coding Interviews Python is the most common choice in coding interviews because it keeps solutions short. These are the parts that come up most often. LeetCode runs Python 3.14 as of October 2026 and preinstalls `sortedcontainers`, so 3.10+ syntax such as `match` and `itertools.pairwise` is safe there. Check the runtime on other platforms before relying on newer features. | Need | Reach for | Note | | ---- | --------- | ---- | | Counting | `collections.Counter` | `most_common(k)` solves top-K questions directly | | Queue or deque | `collections.deque` | O(1) `popleft()`. A plain list is O(n) | | Heap | `heapq` | Min-heap only. Push `-x` for a max-heap | | Sorted insert | `bisect` | `bisect_left` finds the slot in O(log n). `insort` still shifts the list, so each insert is O(n) | | Default values | `collections.defaultdict` | Avoids `KeyError` in graph adjacency lists | | Grouping | `itertools.groupby` | Input must already be sorted by the key | | Cache | `functools.cache` or `functools.lru_cache` | One decorator turns recursion into memoised DP. `@cache` (3.9+) is `lru_cache(maxsize=None)` with less typing | | Big integers | built-in `int` | No overflow, unlike C++ or Java | | Adjacent pairs | `itertools.pairwise` | 3.10+. `pairwise([1, 2, 3])` yields `(1, 2), (2, 3)` | | LRU cache question | `collections.OrderedDict` | `move_to_end(key)` and `popitem(last=False)` make LeetCode 146 a few lines | | Sorted multiset | `sortedcontainers.SortedList` | Not stdlib, but LeetCode preinstalls it. O(log n) `add`, `remove` and `bisect_left` | **Idioms interviewers expect to see** | Instead of | Write | | ---------- | ----- | | Manual index loop | `for i, x in enumerate(xs)` | | Building a list then filtering | A comprehension, or a generator when the input is large | | Swapping with a temp variable | `a, b = b, a` | | Nested `if` for bounds | `if 0 <= r < rows and 0 <= c < cols` | | String concatenation in a loop | `"".join(parts)`, since strings are immutable | **Things that cost people offers** - Mutable default arguments: `def f(acc=[])` keeps the same list across calls. Use `None` and create inside. - Shallow copies: `grid = [[0] * n] * m` makes m references to one row. Use a comprehension. - Recursion depth: the default limit is 1000, so deep DFS needs an iterative version. - Sorting cost: `sorted()` is O(n log n), which can quietly break a required O(n) bound. - Membership tests on a list: `x in xs` is O(n) per check. Inside a loop that becomes O(n^2); convert to a set first. ---
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