How to use Encapsulation in Python for secure code

Exploring Python Today’s focus was on understanding Tuples, Lists, and Dictionaries in Python using VS Code. From negative indexing and tuple unpacking to dictionary key-value access, this hands-on practice helped me strengthen my core Python fundamentals. -- Key Learnings: Difference between lists and tuples Working with nested indexing Understanding count(), len(), and dictionary lookups. Every small step in coding leads to a big leap in logic. #PythonProgramming #10000coders #VSCode #PythonDeveloper @Battula Venkata Narayana

🚀 Python Power Combo! Transform your data in one line using lambda, filter(), and map() 💡 Filter the achievers 🎯 and transform their names to uppercase in style 🔠 Keep your code clean, smart, and Pythonic! 🐍✨ #CodeSmart #ThinkPython #Python #Coding #Programmer #LearnPython #CodeWithMe #PythonTips #PythonDeveloper #DataScience #CodeDaily #ProgrammingLife #PythonLearning #100DaysOfCode #DeveloperCommunity #CodingLife #TechLearning #Automation #PythonCoding #CodeSnippet #LambdaFunction #MapAndFilter #PythonTricks #WomenInTech #TechEducation #PythonForDataScience #PythonProgramming

🐍 Day 4 — Python Challenge: Loops & Iterations 🔁 Today I explored one of the most important concepts in programming — loops! They help automate repetitive tasks and make code cleaner, faster, and more efficient. 📘 Topics I Covered: ✅ for loops — iterating through lists, strings, and ranges ✅ while loops — running until a condition is true ✅ Control statements — break, continue, and pass ✅ Nested loops ✅ Iterating through dictionaries and sequences 💡 Key Takeaway: Loops give the power to handle large amounts of data with just a few lines of code — true Python magic! ✨ . #30daysOfCode #PythonChallenge #Day4 #LearningPython #DataScience #CodeEveryday #codewithharry

Leveling Up in #Python! After sharing the basics earlier, I’ve now put together a deeper dive into #Advanced Python Concepts — pretty much everything from string formatting and data structures to #file handling, regex, and nice-to-have modules like collections, datetime, and #os. All the #code snippets and #notes are fresh and available on #GitHub — laid out for understanding, reuse, and quick lookup. https://lnkd.in/d934uYkQ If you are preparing for interview sessions, making #automation tools, or simply discovering Python’s full potential, this resource is there to facilitate you to go beyond. #datastructures #Pdf

💻 Day 275: Talking to Your Computer with os Today’s post is about one of Python’s oldest — but still coolest — superpowers: the os module. This is how your Python program literally talks to your computer — listing files, creating folders, or checking what directory it’s in. 👉 A simple intro: import os current = os.getcwd() print(f"You’re currently here: {current}") print("Files around you:") print(os.listdir(current)) This small piece of code helps Python navigate your system just like a person browsing through folders. 💡 Pro tip: Use os.path.exists() before performing risky file operations — it’ll save you from those “file not found” heartbreaks. 😅 🔹 Challenge: Write a script that checks if a file exists before trying to open it. #Python #OSModule #Automation #LearnPython

🚀 6 Python Built-ins That Can Replace Entire Libraries 🐍 Tired of bloated dependencies slowing down your codebase? Before reaching for yet another third-party library, take a closer look at what Python already gives you. itertools, pathlib, functools, json, csv, statistics, and datetime — these built-ins can often do the job better, faster, and cleaner than external packages. ✅ Boost performance ✅ Cut dependencies ✅ Write more maintainable code Less is more when you really know your standard library. 👉 Interest? Join our 12 -week python cohort now for more tips and tricks : https://lnkd.in/eWikd_mP #Python #DeveloperTips #SoftwareEngineering #OpenSource #CodingBestPractices #Zerotoknowing

Day 57 of #100DaysOfCode Solved LeetCode Problem 3461: Check If Digits Are Equal in String After Operations I ✅ This problem involved iteratively performing modulo operations on consecutive digits of a string until only two digits remain and then checking if they are equal. It tested skills in: String manipulation Iterative logic Modulo arithmetic 💡 Key Takeaways: Reinforced understanding of working with string-to-integer conversions. Practiced efficient looping and array manipulation in Python. Strengthened problem-solving mindset for algorithmic challenges. ⏱ Performance: Runtime: 21 ms — beats 95% of submissions Memory: 17.73 MB — beats 71% of submissions #100DaysOfCode #LeetCode #Python #CodingChallenge #Algorithm #ProblemSolving #CompetitiveProgramming #TechSkills #SoftwareDevelopment #CodingJourney #CodeNewbie #PythonProgramming #DevCommunity #ProgrammingLife #LearnToCode #CodeDaily #TechLearning #PythonDeveloper #CodePractice #ProgrammingChallenge

Python feels easy… until it doesn’t. You fly through the basics. And then suddenly: dunder methods, decorators, functools, typy annotations, protocols... boom 💥. Sound familiar? It took me a while before I actually started feeling comfortable writing Python code. Though I still have no love for "Callable[[arg1, arg2], return_value]" annotations 😬. In this week's video, I break down the exact steps I’d take if I had to learn Python fast from scratch, covering everything I wish I knew earlier. 👉 Watch here: https://lnkd.in/eQUHiyyy #Python #SoftwareEngineering #LearningPython #CleanCode #ArjanCodes

🟨 Day 08 – Python Practice: Leveling Up with Functions! 🟨 Today, I tackled three key concepts in Python by solving practical problems in a single, integrated program: 🔹 Default Arguments – Built a calculator that adds and subtracts values, with smart defaults when no second number is given. 🔹 *args (Variable-Length Arguments) – Wrote a function to compute total and average marks, no matter how many scores are entered. 🔹 **kwargs + Lambda – Created a dynamic profile card using keyword arguments and used a lambda function to square the user’s age! 📌 Key Takeaways: ✅ Improved my understanding of Python function parameters ✅ Practiced code reusability and readability ✅ Combined logic cleanly in a single script 🚀 Small steps like this are building my confidence one line of code at a time! #100DaysOfCode #Python #LearningByDoing #FunctionArguments #LambdaFunctions #CodeNewbie #DevJourney #PythonPractice #Day08

#120DaysChallenge #Day10 #Python #PythonFullStack 🚀 Day 10 of my 120-Day Python Challenge! Continuing my Python journey at Codegnan IT Solutions with PythonFullStack sessions taught by Pooja Chinthakayala mam. Special thanks to Saketh Kallepu sir and Uppugundla Sairam sir for their guidance and support! 🙌 💡 Today's Focus: Input Handling, Type Casting, Variable Swapping & String Formatting Key Points: 🔹 Taking user input using input() 🔹 Type Casting: converting user input to int, float, str, or complex for calculations 🔹 Variable swapping using • Temporary variable • Tuple unpacking (a, b = b, a) • Arithmetic operations 🔹 String formatting methods: • % formatting • f-string • .format() method Highlights: ✅ Take dynamic input from users and perform calculations ✅ Swap variables efficiently using multiple methods ✅ Format output neatly for better readability #PythonLearning #Codegnan #PythonFullStack #LearningJourney #InputHandling #TypeCasting #VariableSwapping #StringFormatting #CodingJourney