Divyansh Gulyani’s Post

23rd's Python Class – Data Types, map() & Input Handling In a recent Python session, we explored how Python handles different data structures and how functional tools can process collections efficiently. 🔹 Basic Data Structures Identified data types using type(): List [] Tuple () Dictionary {} Set set() Understood the difference between empty dictionary {} and empty set set() 🔹 Filtering Data Used filter(None, iterable) to remove: Empty values None False-equivalent elements Learned how Python treats truthy and falsy values 🔹 map() Function Applied map() to process elements from multiple collections Used built-in functions like max() and min() with map() Created new collections based on element-wise comparison 🔹 User Input Handling Took input as strings and integers Used split() and list comprehension for multiple inputs Observed how data type conversion affects output This class strengthened my understanding of Python collections and functional programming basics, making data handling more effective and clean 🚀 #Python #DataStructures #map #filter #PythonBasics #FunctionalProgramming #CodingPractice #StudentLearning Pooja Chinthakayala

👋 Welcome back! 📅 Python Learning – Day 21 (Python Bytes and Bytearray) Today is about working with raw data: bytes and bytearray. These are used when Python needs to deal with data at a lower level, like files, network data, or binary formats. They may feel unusual at first, but they are essential for understanding how data actually moves. 📘 In this lesson, I’ve explained: 🔢 What `bytes` and `bytearray` are 🔒 How `bytes` is immutable and `bytearray` is mutable ⚠️ Common beginner mistakes when handling binary data Most beginners don’t meet bytes early, but when you do, knowing the difference saves a lot of confusion. Once this concept is clear, working with files and external data becomes easier. 🔗 Tutorial link is in the comments. #LearnPythonStepByStep #ProgrammingFoundations #PythonForStudents #TechLearning #DataHandling #CodeUnderstanding #programming hashtag #pythonlearning #codepractice

21th's Python Class – Built-in Functions & Utilities In a recent Python session, we explored several built-in functions that help inspect, combine, and manipulate data efficiently. 🔹 dir() & __builtins__ Used dir() to inspect available names in the current scope Learned about __builtins__ and how Python provides default functions automatically 🔹 dict.fromkeys() Created dictionaries using keys from strings Assigned default values to all keys Updated individual key values after dictionary creation 🔹 eval() & Input Handling Compared how int, float, and input() handle user input Understood how input types affect program output and behavior 🔹 zip() Combined multiple collections into: List Tuple Set Dictionary Learned how zip() pairs elements index-wise 🔹 enumerate() Added counters to collections Generated indexed data using different starting values Converted enumerated output into list, tuple, and dictionary 🔹 ASCII Operations (chr() & ord()) Converted ASCII values to characters using chr() Converted characters to ASCII values using ord() Generated alphabet lists using ASCII ranges and list comprehension This class improved my understanding of Python’s built-in power tools, making code more readable, efficient, and expressive 🚀 #Python #BuiltInFunctions #zip #enumerate #ASCII #PythonLearning #CodingPractice Pooja Chinthakayala

When I was new to Python, syntax was not the real challenge.Become 2026 Data analysis Roadmap Free resources https://lnkd.in/dRJpwWvC Logic was. I could read code, but I didn’t understand how decisions were made or how programs repeated actions. Many beginners face the same issue. They learn variables on Day 1, then suddenly feel lost when conditions and loops appear. This is exactly why Day 2 in my Python series focuses only on control flow. This image breaks down how Python thinks: when to choose one path over another, how repetition works, and how small logical blocks become real programs. Instead of memorizing rules, beginners practice with simple logic problems and a number guessing game. This builds confidence early and removes the fear of loops and conditions. In 2026, strong Python users are not defined by advanced libraries first, but by how clearly they can think and structure logic. This series is designed to build that clarity step by step, one day at a time. Understanding logic early changes everything later. https://lnkd.in/dRJpwWvC — Shivam Saxena #Python #PythonLearningSeries #ControlFlow #PythonForBeginners #LearnPython #DataAnalytics #ProgrammingLogic #2026Skills #CareerInData

Python Class – Functions & Arguments In one of our Python classes, we explored how functions handle different types of arguments and how they affect function calls. The session focused on clarity, flexibility, and error handling in function design. 🔹 Positional Arguments Passed values based on the order of parameters Learned how incorrect ordering can lead to unexpected results Practiced calling functions with different data types and sequences 🔹 Keyword Arguments Passed values using parameter names Understood how keyword arguments improve readability and reduce dependency on order Mixed positional and keyword arguments correctly in function calls 🔹 Default Arguments Defined default values for function parameters Learned rules such as: Default arguments must come after non-default arguments Explored how default values simplify function usage Observed common errors caused by incorrect argument placement 🔹 Real-world Examples User details (ID, Name, Email) Employee data (Name, Salary, Designation) Grocery and Bakery billing programs using default and user-provided values This class helped me understand how to write flexible, reusable, and error-free functions in Python by using the right type of arguments in the right way 🚀 #Python #Functions #KeywordArguments #DefaultArguments #PositionalArguments #PythonBasics #LearningPython @Pooja Chinthakayala

🚀 Day 9/30 – Python OOPs Challenge 💡 Public vs Private Variables in Python Yesterday we learned about Encapsulation. Today let’s understand the difference between: 👉 Public Variables 👉 Private Variables 🔹 1️⃣ Public Variable - Can be accessed from anywhere - Default type in Python Example: ``` class Student: def __init__(self): self.name = "Argha" # Public variable s1 = Student() print(s1.name) # Accessible ``` 🔹 2️⃣ Private Variable - Cannot be accessed directly outside the class - Written using double underscore __ Example: ``` class Student: def __init__(self): self.__marks = 90 # Private variable s1 = Student() print(s1.__marks) # ❌ This will give an error ``` 🔹 Why use Private Variables? - Protect sensitive data - Avoid accidental changes - Better control using methods 📌 Key takeaway: Public → accessible everywhere Private → restricted access 👉 Day 10: Getter and Setter Methods (coming tomorrow) 👍 Like | 💬 Comment | 🔁 Share 📍 Follow me to learn Python OOP step by step #Python #OOP #LearningInPublic #30DaysOfPython #CodingJourney

🐍 Python Basics: Syntax, Variables & Data Types Python is beginner-friendly, but mastering the fundamentals is key to writing clean and efficient code. 1️⃣ Syntax Python uses indentation instead of {} to define code blocks. if True: print("Hello, Python!") 2️⃣ Variables Variables are containers for data. No need to declare type explicitly; Python is dynamically typed. name = "Alice" age = 25 3️⃣ Data Types Numbers: int, float, complex Text: str Boolean: bool (True / False) Collections: list, tuple, set, dict numbers = [1, 2, 3] person = {"name": "Bob"} ✅ Pro Tip: Use meaningful variable names—it makes your code much easier to read! Python’s simplicity lets you focus on logic, not syntax. Master these basics and you’re ready to dive into loops, functions, and more. 💡 Comment “Python Basics” if you want a full beginner-friendly guide next! #Python #Programming #Coding #LearnPython #Developer #Tech #DataScience #SoftwareEngineering #ProgrammingBasics #PythonTips

Most Python programs fail not because the logic is wrong, but because the code is not prepared for unexpected situations. Users give wrong inputs. Files go missing. APIs fail. Systems behave unpredictably. If your code crashes in these scenarios, that is not bad luck. That is missing exception handling. Exception Handling is what separates code that works in notebooks from code that survives in real-world applications. It helps you write programs that are stable, readable, and production-ready, rather than fragile scripts that break at runtime. 🎯 That’s exactly what the new video covers. I have just launched a new video under my Python Programming playlist, where I explain Exception Handling in Python in depth. We go beyond syntax and focus on:  ✅Why exceptions exist and how Python handles them  ✅How try, except, else, and finally actually work  ✅Common mistakes learners make Practical, real-world examples you will face in projects and interviews If you are learning Python seriously or aiming to write professional-grade code, this is a topic you cannot skip. 📌 Watch the video here: https://lnkd.in/gxBUcce6 Be intentional about the fundamentals. Strong basics always compound faster. #PythonProgramming #ExceptionHandling #LearnPython #CodingFundamentals #SoftwareEngineering #YouTubeLaunch

Two Days of Python Basics and a Useful Reminder This past Saturday and Sunday, I attended a hands-on Python session at KnowEdge Tech Hub and it reinforced something important for me: Python only really sticks when you build with it. Across two days, we moved beyond theory into practice: * Worked with core Python data types and operators * Took user input, handled type conversions, and wrote clean logic * Built small but practical projects, including an expense tracker and a simple loan eligibility app. What stood out wasn’t just the concepts, but how quickly things made sense once they were applied to real-world use cases. Big thanks to Joel Babatunde for the clear, step-by-step guidance 🤗. Looking forward to building more and going deeper. If you’re interested in learning Python with a practical, application-driven approach especially for data analysis and data science. KnowEdge Tech Hub is worth checking out. #Python #DataAnalysis #DataScience #HandsOnLearning #LearningJourney