Today I learned something new in Python. There is nothing truly private in Python; even so-called private class variables can be accessed from outside the class. Python relies on developer discipline rather than strict enforcement. Privacy in this context is a convention, not a rule. This is a small detail, but it represents an important mindset shift. #Python #PythonProgramming #TIL #Programming #SoftwareEngineering #CodingLife #DeveloperMindset #CleanCode #OOP #LearningEveryDay
Python's Lack of Private Variables
More Relevant Posts
-
Master these 3 essential Python string programs that every developer should know! 🔥 ✅ Anagram Checker ✅ Pangram Checker ✅ Unique Words Checker These short and elegant programs demonstrate core Python concepts like sorting, sets, and string manipulation. Which one is your favorite? Would you use any of these in your projects? Save this post for quick reference and tag a friend who is learning Python! Follow Ultra Pythonic for more clean, practical Python code and learning resources. #Python #LearnPython #Coding #Programming #PythonProgramming
To view or add a comment, sign in
-
-
Unlock the secrets of Python's conversion process Learn how to master data type conversion in Python, from integers to complex numbers. Discover the different methods and techniques used to convert data types in Python. Read the full article 👉 https://lnkd.in/dszn8g3i #pythonprogramming #itfresher #pythonconverting #datatyping #programmingbasics #TechLab Code. Learn. Build. — TechLab by Neeraj
To view or add a comment, sign in
-
-> How Python Manages Memory Automatically – Garbage Collection While exploring Python internals, I learned something interesting about how Python handles memory. Python uses a mechanism called Garbage Collection to automatically remove objects that are no longer being used by the program. This helps prevent memory leaks and keeps applications efficient. Python mainly manages this using two techniques: 🔹 Reference Counting – Each object keeps track of how many variables reference it. When the reference count becomes 0, Python deletes that object from memory. 🔹 Generational Garbage Collection – This handles circular references, where objects reference each other and cannot be cleaned by reference counting alone. This automatic memory management is one of the reasons why developers can focus more on logic and less on manual memory handling when working with Python. Always fascinating to learn what happens behind the scenes in Python. #Python #PythonInternals #GarbageCollection #BackendDevelopment #LearnInPublic
To view or add a comment, sign in
-
(DAY- 10) 🚀 Python String Functions Made Simple Understanding string functions is essential for every Python learner. From converting text using "upper()" and "lower()" to modifying and analyzing data with "replace()", "split()", and "find()", these functions help you handle text efficiently in real-world projects. In this post, I’ve covered important Python string functions with clear definitions and examples to make learning easy and practical. 💡 Save this for revision and keep practicing! #Python #Programming #LearnPython #Coding #DataAnalytics
To view or add a comment, sign in
-
-
One concept in Python that appears simple but carries deeper implications is mutability. On the surface, we categorize: - Lists and dictionaries as mutable - Strings and tuples as immutable However, the real impact becomes clear when considering memory and references. In Python, variables do not store values directly; they store references to objects. Thus, when you assign one variable to another, you are not copying data — you are pointing to the same object in memory. This distinction leads to very different behaviors between mutable and immutable types. With immutable objects, any modification results in the creation of a new object. In contrast, mutable objects allow the original object to be modified in place. This difference directly influences: - How functions behave - How data flows across modules - The emergence of subtle bugs in production Understanding this concept has aided me in debugging issues that initially seemed perplexing. It has also transformed my perspective on passing data between functions. Sometimes, the problem lies not in the logic but in how the data is being referenced. #Python #SoftwareEngineering #BackendDevelopment #Programming
To view or add a comment, sign in
-
Day 1 — Starting My Python Journey Today I practiced the basics of Python 🔹 Working with variables 🔹 Using the print() function 🔹 Performing basic operations Here’s a simple snippet I tried: name = "Ankaj" age = 34 print(name, age) a = 20 b = 10 print(a + b) # Addition print(a - b) # Subtraction print(a / b) # Division What I learned: Python makes it really easy to work with variables and perform operations without complex syntax. I’m documenting my journey as I learn every day Follow Ankaj Python Hub to grow with me https://lnkd.in/gx2yF2vF #Python #LearnPython #CodingJourney #100DaysOfCode #Beginner
To view or add a comment, sign in
-
🚀 Calculating TF-IDF Scores with Python (System Design) This Python code calculates TF-IDF scores for a set of documents. It uses the `TfidfVectorizer` from the `sklearn` library to create a TF-IDF matrix. The matrix represents the TF-IDF scores for each term in each document. This example demonstrates how to use a library to efficiently compute TF-IDF, a crucial component in ranking search results. Understanding TF-IDF is critical for optimizing search relevance in system design. #SystemDesign #Architecture #Scalability #DistributedSystems #professional #career #development
To view or add a comment, sign in
-
-
Day 7/30 – Python Coding Challenge 🐍 📌 LeetCode Problem 20: Valid Parentheses 💡 Problem: Check if a string of brackets is valid based on correct order and matching pairs. 🧠 What I learned: • Stack data structure • Handling nested structures • Efficient validation logic 💻 Example: Input: "([])" Output: True 🚀 Insight: Using a stack helps track opening brackets and ensures proper matching with closing ones. Small problems, big learning 💪 #30DaysOfCode #Python #LeetCode #Stack #CodingChallenge #ProblemSolving
To view or add a comment, sign in
-
-
Built a simple Dice Roller using Python. As part of practicing Python basics, I created a small program that simulates rolling a dice. This program: • Generates a random number between 1 and 6 • Allows the user to roll multiple times • Uses loops and user input for interaction Through this project, I practiced: • Random module • Loops • Conditional statements • Handling user input It’s a simple project, but it helped me understand how randomness and control flow work together. Still learning and building step by step. #Python #BeginnerProject #DiceRoller #LearningInPublic #CodingJourney
To view or add a comment, sign in
-
Explore related topics
Explore content categories
- Career
- Productivity
- Finance
- Soft Skills & Emotional Intelligence
- Project Management
- Education
- Technology
- Leadership
- Ecommerce
- User Experience
- Recruitment & HR
- Customer Experience
- Real Estate
- Marketing
- Sales
- Retail & Merchandising
- Science
- Supply Chain Management
- Future Of Work
- Consulting
- Writing
- Economics
- Artificial Intelligence
- Employee Experience
- Workplace Trends
- Fundraising
- Networking
- Corporate Social Responsibility
- Negotiation
- Communication
- Engineering
- Hospitality & Tourism
- Business Strategy
- Change Management
- Organizational Culture
- Design
- Innovation
- Event Planning
- Training & Development