#pythonTips

Python data beginners: df.describe() is your best friend. One line gives you count, mean, min, max, and quartiles for every number column. Run it first on every new dataset. It tells you where the problems are. #PythonTips #Pandas #DataAnalysis

Python has a lot of “magic” that isn't really magic. 🐍 Descriptors are one of the concepts behind controlled attribute access. __get__() __set__() __delete__() Understand those, and things like @property start making much more sense. Save this roadmap. 🔖 #Python #PythonTips #Coding

Class 07💖 @0xAsharib Python Revision + OOP Recap🔁 🔹 Iteration: for, while, break, continue 🔹 Mutable: list, set | Immutable: tuple, frozen set 🔹 Hashable = Immutable = Faster 🧠 OOP Core: Encapsulation | Abstraction | Inheritance | Polymorphism #OOP #CodeNewbie #PythonTips

#PythonTips Avoid using empty list ([]) as default parameters to a function. This can lead to unexpected behavior. In Python default parameters are evaluted once when the function is defined and not every time it’s called

Don't memorize OOP definitions. Build small objects. Then connect them. That's when OOP starts making sense. Save this roadmap for your Python journey. Which OOP concept took you the longest to understand? 👇 #Python #PythonTips #Coding #Programming

Looks like 3 separate lists. Is actually 3 names for the same list. a[0].append(10) -> all three change -> [[10], [10], [10]] * on a list doesn't clone it just copies references. Python is simple... until it isn't 🐍 #Python #Coding #PythonTips #DevLife #ThinkFirst

We’re back for another #PythonTips Tuesday! 🐍 This week, we dig deeper into LLM file names — specifically the B that stands for billions of parameters that act like tiny adjustable knobs in a neural network. Together these parameters shape how a model learns language. 💪

Python beginners: stop using .loc and .iloc randomly. Simple rule: Use .loc when you know the label (column/row name) Use .iloc when you know the position (number) Example: df.loc[df['city'] == 'Abuja', 'sales'] Small habit, big clarity. #PythonTips #DataAnalysis #Pandas

Python essentials in one glance ⚡ Know your data structures = unlock real power. #PythonTips #DevLife

Python doesn’t only understand True and False. 👀 It also checks whether a value is truthy or falsy. bool([]) # False bool([0]) # True bool("") # False bool("0") # True The interesting part? "0" is True, but 0 is False. 🤯 Do you know why? #Python #PythonTips #Coding #Programming

a = b -> same object a = b.copy() -> separate object Did you know = doesn’t create a copy in Python? 🐍 #Python #PythonTips #Programming #Coding #100DaysOfCode

#Python #pythontips 20 #python 3.5+ you can use * in function parameters to force the caller to use keyword arguments for certain parameters, refer the below code⤵️ #Data #pythonprogramming #pythonlearning #pythoncode #pythontraining #pythondeveloper #100DaysOfCode Keep learning!

python for data science #19 python quiz #1 by writing this code what output we will get. option a, b, c comment your answers #Python #pythonprogramming #pythontips #DataScience #datasciencewithpython

🚀 Elevate your Python skills! 📘 Get our FREE "250 Bulletproof Python Tips." Perfect for mastering idiomatic Python. Dive into practical, ready-to-use advice today! 🔗 #LearnPython #PythonTips #sponsored

Extracting data from nested structures often leads to complex, error-prone code with multiple checks and conditionals. Python 3.10's pattern matching provides a more declarative and readable way to handle complex data structures. #Python #PatternMatching #PythonTips

The map() function in Python is used to apply the same operation to every item in a list or any other iterable Instead of writing a loop, map() lets you transform data in one line #Python #PythonTips #Coding #Programming #LearnToCode #Developer #SoftwareEngineering #DataScience

What happens if I try math.log10 on a calculator from 1995? Source: #LearnToCode #TechTips #PythonTips #CodeNewbie

Master Python List Comprehension Technique in Just 2 Minutes. #python #python3 #pythontips

A DataFrame isn’t just a spreadsheet—it’s a flexible, two-dimensional structure built for serious data analysis 📊 In this week’s #PythonTips, learn how mastering DataFrames transforms how you think about data, making data analysis intuitive.

"What You Probably Don't Know About Python Decorators" #pythontips #python