tgindex

Python Learning

описание

Python learning resources Beginner to advanced Python guides, cheatsheets, books and projects. For data science, backend and automation. Join 👉 https://rebrand.ly/bigdatachannels DMCA: @disclosure_bds Contact: @mldatascientist

← к каналу@python_bds
5 831
подписчиков
Охват к подписчикам
8,7%
ERR
Реакции к просмотрам
0,51%
77 на 26 постов
Пересылки к просмотрам
0,82%
124
Постов в день
0,4
всего 26

Где отзываются чаще

доля реакций к просмотрам
  • 14 авг.🔍 10 Useful String Methods in Python 1. split() → Break text into pieces. 2. join() → Combine multiple strings. 3. replace() → Replace part of a string. 4. strip() → Remove extra spaces. 5. startswith() → Check prefixes. 6. endswith() → Check suffixes. 7. find() → Locate text. 8. count() → Count occurrences. 9. upper() / lower() → Change case. 10. capitalize() → Capitalize the first letter. These methods appear in almost every real-world Python project.1,82%
  • 12:31без подписи1,48%
  • 27 июл.Python List Exercises Guide0,92%
  • 6 авг.🐍 15 Python Built-in Functions Every Developer Should Know You don't always need another library. Python already ships with powerful built-in functions that can make your code cleaner, shorter, and faster. 1. enumerate() - Loop through items while automatically keeping track of their index. 2. zip() - Combine multiple lists together element by element. 3. map() - Apply the same function to every item in an iterable. 4. filter() - Keep only the elements that satisfy a condition. 5. sorted() - Return a new sorted list without changing the original. 6. any() - Returns True if at least one item is truthy. 7. all() - Returns True only if every item is truthy. 8. sum() - Quickly calculate the total of numeric values. 9. min() / max() - Find the smallest or largest value instantly. 10. len() - Count the number of items in any iterable. 11. set() - Remove duplicate values while creating a collection of unique items. 12. isinstance() - Check whether an object belongs to a specific type. 13. range() - Generate sequences of numbers efficiently. 14. reversed() - Iterate over data in reverse order without modifying it. 15. help() - Open the built-in documentation for almost any Python object. Learning these built-ins will make your code look much more "Pythonic" and save you from writing unnecessary loops.0,79%
  • 13 июн.без подписи0,77%
  • 4 авг.A Japanese AI company called Preferred Networks has a mature open-source library for NumPy/SciPy calculations on GPUs. It's called CuPy 🚀. For massive datasets, it is often enough to replace a single line: import cupy as cp The same array operations can run on CUDA up to 100 times faster. What it can do: 🛠 Highly compatible with existing NumPy and SciPy code 📝 Dramatically reduces the need to rewrite code or learn new syntax 💻 Supports not only NVIDIA CUDA but also AMD ROCm architectures Keep in mind: → Only faster for massive arrays; small datasets will run slower due to CPU-to-GPU data transfer lag → Strictly bound by your physical GPU VRAM limits (can cause out-of-memory errors). → Covers most major math functions, but does not replicate 100% of NumPy/SciPy modules. The project is completely open-source and battle-tested since 2015 📂: https://github.com/cupy/cupy0,77%
  • 8 авг.📖 Reading Python Error Messages Suppose you see this. TypeError: 'NoneType' object is not iterable Instead of guessing, break it down. TypeError → You're performing an operation on an incompatible type. NoneType → The value is None. not iterable → Python expected something it could loop over, like a list or tuple. A common cause: def get_users(): print("Loading users...") for user in get_users(): print(user) get_users() doesn't return anything, so it returns None by default. Python can't loop over None. When you see this error, ask yourself: "Which variable was supposed to contain a list but ended up being None?"0,75%
  • 29 июл.без подписи0,73%
  • 31 июл.📘 Biopython: Tutorial and Cookbook ✍️ Authors: Jeff Chang, Brad Chapman, Iddo Friedberg, Thomas Hamelryck, Michiel de Hoon, Peter Cock, Tiago Antao, Eric Talevich, Bartek Wilczyński 🔗 Read Online #Python ──────────────────── 👉 @free_programming_books_bds 👈0,71%
  • 16 июл.✅ Python Scenario-Based Interview Question – List Comprehension 🐍 Scenario: You are given a list of numbers: numbers = [1, 2, 3, 4, 5, 6] Question: Write Python code to create a new list that contains: 1. Only the even numbers from the original list. 2. Each even number multiplied by 2. Expected Output: Answer: even_doubled = [num * 2 for num in numbers if num % 2 == 0] print(even_doubled) Explanation: ⦁ The list comprehension iterates over each num in numbers. ⦁ The if num % 2 == 0 condition filters to only even numbers (remainder 0 when divided by 2). ⦁ For those, num * 2 doubles them, building the new list concisely.0,67%
  • 6 маябез подписи0,62%
  • 12 авг.One of our members asked for a Python Book This book, Think Python, is an introduction to Python programming for beginners. It starts with basic concepts of programming; it is carefully designed to define all terms when they are first used and to develop each new concept in a logical progression.0,61%