Python `__all__` Variable: Control Module Public API

🐍 Python Tip of the Day: Remove duplicates from a list WITHOUT losing the order! Most developers jump to set() to remove duplicates — but there's a catch: ❌ list(set(items)) → fast, but shuffles your order ✅ list(dict.fromkeys(items)) → removes duplicates AND keeps original order Here's how it works: Dictionaries can't have duplicate keys. So when you pass your list into dict.fromkeys(), it silently drops any repeated values — keeping only the first occurrence. Since Python 3.7+, dictionaries also maintain insertion order, which means you get back a clean, deduplicated list in the exact order you started with. 🎯 Simple. Elegant. No extra imports needed. ♻️ Repost if this helps someone on your feed! #Python #CodingTips #SoftwareDevelopment #ProgrammingTricks #CleanCode

Today I went deeper into Python file handling and it turned out to be more interesting than I expected. What seems simple at first (open(), read(), write()) actually hides subtle behavior: • "w" and "w+" clear the file the moment it’s opened • "r+" allows modification without automatically deleting content • The file pointer silently moves after read/write operations making seek(0) essential • truncate() prevents unexpected leftover data when rewriting shorter content It’s easy to use these functions. It’s harder and more valuable to understand how they behave internally. Worked through practical problems to move from just using file handling to actually understanding it. #Python #learningpython #filehandling

Did you know? Python versions >= 3.11.7, has set a limitation on the number of digits(i.e 4300) that can be convert string to integer and vice-versa. This is to prevent the Dos attack and low conversion speed, defined in `CVE-2020-10735`. If you want to convert more than that, then you will have to update the setting by using the following: ``` import sys sys.set_int_max_str_digits(452463) # or any number you want ``` #python #python_spec #language_updates #features

Have you ever written a perfectly “correct” Python function… that still feels slow and clumsy? Not because the logic is bad, but because it keeps doing expensive work over and over again: • re-reading files • re-parsing data • recomputing values that never change In today’s video, I walk through 10 Python features hiding in the standard library that make your code faster, clearer, and easier to reason about. Things like caching expensive operations, expressing intent more clearly, managing resources safely, and writing logic that scales without turning into spaghetti. 👉 Watch the video here: https://lnkd.in/eXcxPAQe #Python #PythonTips #ArjanCodes #CleanCode #SoftwareDesign #Pythonic

Day 25 | The Python Feature That Made My Code Cleaner 🐍 One small Python concept that felt confusing at first — but now I love: List Comprehensions. Earlier, I used to write: squares = [] for i in range(10): squares.append(i * i) Then I learned this: squares = [i * i for i in range(10)] Same result. Cleaner. Shorter. More readable. At first it looked complicated. Now it feels natural. That’s the thing about Python — Many concepts look hard until you understand the pattern. List comprehensions taught me: • Think in expressions • Write concise logic • Read code more efficiently Still practicing. Still improving. What Python concept took time to “click” for you? #Day25 #PythonLearning #ListComprehension #CodingJourney #AIJourney #DataScienceStudent #LearningInPublic #TechGrowth

Type Conversion I made a mistake today that every Python beginner makes. 🤦♂️ I tried adding user input directly: age = input("Enter age: ") # This gives a STRING new_age = age + 5 # ERROR! The fix? Type conversion: age = int(input("Enter age: ")) new_age = age + 5 # Works perfectly! Lesson learned: Python doesn't automatically convert data types. You need to be explicit with int(), str(), or float(). Small concept. Big impact on writing bug-free code. What's a coding mistake that taught you the most? 💭 #Python #TypeConversion #CodingMistakes #LearnFromErrors #PythonTips #BeginnerProgrammer #TechJourney

Most Python bugs don’t happen because the logic is wrong. They happen because we keep solving common, boring problems in bad ways. Some Python libraries that helped me fix this: cattrs – helps handle structured data instead of messy dictionaries hypothesis – finds bugs by testing cases you didn’t think about pyrsistent – makes shared data safer and more predictable msgspec – shows how slow normal JSON handling can be watchfiles – reliable file watching without random issues datasketch – handles large-data problems in a simple way These libraries don’t make your code fancy. They make it more stable and harder to break. #Python #CleanCode #SoftwareEngineering #ProgrammingTips #DeveloperCommunity

🚀 Importing from Packages (Python) Importing from packages follows a similar syntax to importing from modules, but with the addition of package names. You can import entire subpackages, specific modules, or individual functions/classes from modules within the package. Proper package structure and import statements are essential for using external libraries and frameworks effectively. #Python #PythonDev #DataScience #WebDev #professional #career #development

🐍 Day 32 — Writing Clean Python Code Day 32 of #python365ai ✨ Clean code is easier to read, understand, and maintain. Good practices: - Meaningful variable names - Consistent formatting - Simple logic Example: total_score = marks + bonus 📌 Why this matters: Clean code is a professional habit — especially in teamwork and research. 📘 Practice task: Refactor a small script to improve readability. #python365ai #CleanCode #BestPractices #Python

🚀 Comments (Python) Comments are used to add explanatory notes to your code. They are ignored by the Python interpreter. Single-line comments start with a `#` symbol. Multi-line comments are enclosed in triple quotes (`'''` or `"""`). Comments are crucial for improving code readability and maintainability. They help other developers (and yourself) understand the purpose of the code. #Python #PythonDev #DataScience #WebDev #professional #career #development