Understanding the finally Clause in Python's try...except Blocks

Python programm to reverse number using class as below: #Defining python class class Number_Reverse: # Initializing the number in class object     def __init__(self, num):         self.num = num # define class method to perfor reverse the number      def reverse_num(self):         return int(str(self.num)[::-1]) # Creating class object and calling reverse_num method if __name__ == "__main__":     num = 123456789 # Defining the class object     t = Number_Reverse(num)     print(t.reverse_num())

🚀 The `__all__` Variable in Modules and Packages (Python) The `__all__` variable is a list of strings defining the public names of a module or package. When `from module import *` is used, only the names listed in `__all__` are imported. If `__all__` is not defined, all names that do not begin with an underscore are imported. It provides explicit control over the module's public API. #Python #PythonDev #DataScience #WebDev #professional #career #development

🚀 Relative Imports (Python) Relative imports are used within packages to import modules or subpackages relative to the current module's location. They use the `.` (current package) and `..` (parent package) syntax. Relative imports are preferred within packages to avoid ambiguity and ensure portability. They maintain the package's internal structure when moved or renamed. #Python #PythonDev #DataScience #WebDev #professional #career #development

Python Day 5 Tip: Difference Between append() and extend() Both are used to add elements to a list , but they work differently! # Example list1 = [1, 2, 3] list1.append([4, 5]) print(list1) #output is [1, 2, 3, [4, 5]] list1 = [1, 2, 3] list1.extend([4, 5]) print(list1) #output is [1, 2, 3, 4, 5] 1) append() adds the entire object as a single element. 2) extend() adds each element from the iterable individually. Tip: Use append() for single items and extend() for adding multiple items at once. #Python #30DaysOfpythonCode #PythonTips #Coding #FullStackDeveloper #LearnPython #PythonLearning

🚀 Mutability vs. Immutability: Understanding the Difference (Python) Mutability refers to whether the contents of a data structure can be changed after it is created. Lists, dictionaries, and sets are mutable, while tuples, strings, and numbers are immutable. When a mutable object is modified, its identity remains the same. When an immutable object appears to be modified, a new object is created instead. Understanding mutability is crucial for avoiding unexpected side effects in your code. #Python #PythonDev #DataScience #WebDev #professional #career #development

Python Tip – Day 6: Make Your Loops Cleaner with enumerate() Ever used range(len()) to get both index and value in a loop? There’s a better and more Pythonic way , use enumerate()! Here’s a quick example: x = [1, 2, 3, 4, 5, 6] s = 0 for i in enumerate(x): print(i[0], i[1]) enumerate() returns both the index and value as a tuple! That’s why i[0] gives the index and i[1] gives the list element. Try unpacking it directly for cleaner code: for index, value in enumerate(x): print(index, value) enumerate() improves readability and makes your code look more professional. Keep your loops clean and efficient! #Python #30DaysOfpythonCode #PythonTips #CodingJourney #LearnPython #CodeBetter

I think my initial hypothesis about the most valuable languages for GitHits was wrong. The data now points to C, C++, and Rust (among others) being in more demand than Python, TS, or JS. It makes sense in hindsight. LLMs are biased toward scripting languages because those dominate their training data. I’ll be rolling out support for some of the less-represented languages soon, after gathering feedback from users. Sometimes the data simply proves your assumptions wrong.

Test Python code not "by feel," but through three levels. First, unit tests for basic logic, then fixtures for the real environment (files, databases, HTTP mocks), and on top hypothesis for the automatic search for hidden bugs. This way, the tests will be short, and the coverage and reliability will be maximal. That is the goal of hypothesis. To learn more about hypothesis check the documentation here https://hypothesis.works/ Did you know it before for testing ? To discover more tips like this let connected :) #python #test #pytest #hypothesis #fastapi #django

A quick Python refresher - 👇 def test_value(a): if (a): print("✅ TRUE") else: print("❌ FALSE") test_value(5) # ✅ test_value(0) # ❌ test_value("Hi") # ✅ test_value("") # ❌ test_value([]) # ❌ test_value({}) # ❌ test_value(None) # ❌ In Python, it’s not just about True or False — it’s about truthiness. Empty values like 0, "", [], {}, and None are Falsy. Everything else is Truthy. 💡 Pro tip: Always include an else (or even better, elif) — it keeps your logic clear and helps catch unexpected falsy cases. #PythonTips #CodeQuality #CleanCode

👉How does lazy import caching improve Python's performance?  • Lazy import caching in Python significantly boosts performance by postponing module loading until they're actually needed. • This strategy minimizes start-up time and memory usage, with real-world applications reporting up to 70% faster start-ups and 40% less memory usage. • It also helps break import cycles, reducing headaches from circular dependencies. • While it does add a tiny runtime cost when modules are first accessed, the tradeoff is usually worth it for apps with lots of rarely used modules. #python #softwareengineering