How to Optimize Python Memory with __slots__

🚀 Exploring the future of Python — Version 3.14 The latest Python 3.14 release shows how the language keeps evolving to improve both performance and developer experience. 🔹 Template strings (t-strings): a more flexible and readable way for string formatting. 🔹 Deferred evaluation of annotations: faster runtime and cleaner type hints. 🔹 Enhanced error messages: debugging made simpler for developers. 🔹 Free-threaded improvements: better multi-threading support and efficiency. 🔹 Improved interpreters and memory management: smoother execution. 💡 Python continues to prove that simplicity and power can go hand in hand. What are your thoughts on this release? Have you tried any of the new features yet? #Python #Python314 #BackendDevelopment #SoftwareEngineering #TechUpdate #ContinuousLearning

Python Basics: List vs Tuple — Know the Difference! When working with Python, understanding the difference between Lists and Tuples can help you write cleaner and more efficient code. Here’s a quick comparison: 🔹 List Mutable (you can modify elements) Slower but flexible Defined with [ ] Example: fruits = ['apple', 'banana'] 🔹 Tuple Immutable (you cannot modify once created) Faster and memory-efficient Defined with ( ) Example: colors = ('red', 'blue') ✅ When to Use: Use List when your data needs to change. Use Tuple when your data should stay constant. #Python #DataEngineering #PythonProgramming #DataScience #ETL #SoftwareDevelopment #CodeNewbie #TechLearning #ETLTesting

Find the smallest number in python? given_list = [10, 1, 2, 3,54,61, 3, 5, 6, 7] #expected output : 1 # method 1 def smallest_num(given_list):     smallest = given_list[0]     for i in range(1, len(given_list)):         if given_list[i]< smallest:             smallest = given_list[i]     return smallest print(smallest_num(given_list)) # method 2 print(min(given_list)) # method 3 given_list.sort() print(given_list[0]) # method 4 new_list = [x for x in given_list] new_list.sort() print(new_list[0])

How Python Handles Multiple Exceptions Gracefully Have you ever seen your Python program crash because of a small typo or missing variable? That’s where exception handling saves the day. The try...except block lets your code handle errors without stopping execution. In this example, even though xyz is not defined, the program doesn’t crash — it continues safely! Handle multiple exceptions like this: except (Error1, Error2, Error3): #Python #Learning #ErrorHandling #CodeNewbie #ProgrammingJourney #100DaysOfCode #LearnToCode #LinkedInTech #DevelopersCommunity #CodingMotivation #SoftwareEngineering #TechCareer #KeepLearning

Is your Python code leaking resources? 🚰 Let's talk about going beyond with open(). We all use with open() for files. It's great! But what about your own resources? Database connections, temporary files, or custom states that need clean-up. This try...finally pattern works, but it's verbose and the clean-up logic is separated from the setup. #Python #ContextManager #SoftwareDevelopment #BestPractices #CodeQuality #PythonTips #CleanCode #PythonMagic

Today, I practiced creating a simple Python calculator using loops and conditional statements. 💻 This small project helped me understand: 🔹 How to take user input in Python 🔹 How to use while loops for continuous execution 🔹 How to apply if-elif conditions for different operations (+, -, *, /) 🔹 And how to break the loop using a quit command (q) Here’s what the program does: It asks the user to enter two numbers Then takes an operator (+, -, *, /) Displays the result instantly Keeps running until you press q to quit This might look simple, but every small program builds a strong foundation. Step by step, I’m getting more comfortable with logic building in Python. 🚀 #Python #CodingJourney #Programming #LearningByDoing #Tech #Developer

🚀 Python 3.14 is here! 🐍 The new version of Python brings improvements that make our code cleaner, faster, and easier to understand. Here are some highlights: # T-Strings: A new way to interpolate strings, perfect when we need more control over the content inserted. # Lazy Annotations: Type annotations are now evaluated only when needed, improving performance and code clarity. # Safer Debugging: A new debugging interface allows debuggers and profilers to connect safely to running Python processes without interrupting or restarting them (docs.python.org). # Colorful REPL: The interactive interface is now more user-friendly with syntax highlighting and improved autocomplete. # New pathlib Methods: You can now copy and move files directly with Path objects, without relying on shutil. These changes make Python even more accessible and powerful, whether you’re a beginner or an experienced developer. #Python314 #Development #Technology #Innovation #Programming #Python

Hello, everyone 👋 Welcome to Day 7 of my #30DaysOfPython journey! 🚀 Today, I explored one of the most powerful concepts in Python — Loops! 🐍 Loops are used to repeat a block of code multiple times, making our programs more efficient and easier to manage. Python provides two main types of loops : 🔹 for loop — used when we know how many times we want to repeat. 🔹 while loop — used when we want to repeat code until a condition becomes False. I also learned about loop control statements like break, continue, and pass which help manage how loops behave. Learning loops is an important step to write dynamic and smart programs! 💡💻 LogicWhile #Day7 #Python #LearnPython #PythonBasics #PythonLoops #ForLoop #WhileLoop #InfiniteLoop #CodingJourney #PythonProgramming #ProgrammingBasics #TechLearning #Developers #CodeEveryday #KeepLearning #ProgrammingCommunity #StudyPython #CodeWithMe #100DaysOfCode #PythonForBeginners

Python tip - Day 8 of #30DaysOfPythoncode — Ternary Operator in Python The ternary operator lets you write an if-else statement in a single line perfect for short, simple conditions. Example: age = 18 message = "Eligible to vote" if age >= 18 else "Not eligible" print(message) Output: Eligible to vote Why use it? 1) Makes your code cleaner and more readable 2) Ideal for quick conditional assignments 3) Commonly used in list comprehensions or lambda functions. Simplify your if-else logic using the Ternary Operator "X if condition else Y" — One line that saves time and makes your code look elegant! #Python #PythonTips #Coding #LearnPython #30DaysOfpythonCode

🚀 File Pointers and Seeking (Python) When a file is opened, Python maintains a file pointer that indicates the current position within the file. The `seek()` method allows you to move the file pointer to a specific position. This is useful for reading or writing data at specific locations within the file. The `tell()` method returns the current position of the file pointer. Understanding file pointers is essential for advanced file manipulation techniques. #Python #PythonDev #DataScience #WebDev #professional #career #development