File handling in python Day 46 – Reading a File in Python Most data you’ll ever process lives in files — text, CSVs, logs, configs, you name it. Let’s start with reading a file 👇 # sample.txt content: # Hello Python Learner! file = open("sample.txt", "r") content = file.read() print(content) file.close() 🧠 Output: Hello Python Learner! ✅ Tip: Always close your file after reading to free up system resources. (Or better yet, use with open() — coming next!) 👉 Have you ever tried reading a large file in Python? #Python #FileHandling #100DaysOfCode #Learning

💡Understanding Constructors in Python(OOPs concept) In Python, the __init__() method is a constructor, also known as a special or magical method. '''Python class A: def __init__(self,s):       self.x=s          def f2(self):               self.a=self.x+10     print("a=",self.a) obj=A(100) obj.f2() print("a=",obj. a)''' #Output: a=110 b=110 #Python #OOP #Constructor #Programming #Learning

✨ Central Tendency of Measure using Python In this practical, I learned how to find the Mean, Median, and Mode using Python. I created a small dataset of ages and used Python code to understand how these values represent the central part or average trend of data. 💡 Mean gives the average value, 📍 Median shows the middle value, and 🔁 Mode represents the most frequent value in the dataset. 💻 Tools Used: Jupyter Notebook Python This activity helped me understand basic statistics and how Python makes it simple to calculate and analyze data efficiently. 📊🐍 🔗 Check out my code on GitHub: https://lnkd.in/eTtC53qu Guided by:Ashish Sawant #Python #JupyterNotebook #DataAnalysis #Statistics #CentralTendency #Learning #CSE #PRMCEAM

📘 Day 3 – Python Functions & OOP Concepts Continuing my Python learning series! Day 1: Python Basics: https://lnkd.in/gwg45mGq Day 2: Python Operators & Loops: https://lnkd.in/gfnnZPmX Today’s notes focus on two important topics: Functions & OOP Perfect for anyone building a solid Python foundation. Check out the notes and keep learning! 🐍✨ #Python #Coding #LearningPython #PythonForBeginners #Programming #OOP #Functions #CodeNewbie #PythonTips #StudyNotes

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 SERIES How write Comments in Python ?🤔 If You want more Python Tutorials, Visit this link to find Your Solutions.👇 👇 https://lnkd.in/gu7z98Gn https://lnkd.in/gV-Ma3ad #TechOceanHub #PythonWithTechOceanHub #LearnPython #CodeWithTechOceanHub #PythonSeries #TechOceanPython #PythonProgramming #PythonBasics #PythonForBeginners #MasterPython #LearnToCode #CodingMadeEasy #UpskillWithTechOceanHub #FutureReadySkills

💡 Today’s Python Lesson: Functions as First-Class Objects In computer science, a first-class object is something that supports all the operations generally available to other objects. When we say Python functions are first-class objects, it means you can treat them just like numbers, strings, or lists. That means you can: ✅ Assign them to a variable ✅ Pass them as an argument to another function ✅ Return them as the result of a function ✅ Store them in data structures (like lists or dictionaries) This simple exercise made me realize how powerful and flexible Python really is — it’s not just about writing code, it’s about thinking in functions 🧠🐍 #Python #CodingJourney #100DaysOfCode #PythonDeveloper #LearningInPublic #CodeNewbie #SoftwareDevelopment #ProgrammingConcepts #TechCommunity #PythonProgramming #WomenInTech #Developers #FunctionProgramming

Python Data Structures at a Glance Understanding Python’s core data structures is key to mastering the language. Here’s a quick glance at the most common ones — Lists, Tuples, Dictionaries, Sets, and Strings — along with their syntax and mutability. ✅ Lists – Mutable 🚫 Tuples – Immutable ✅ Dictionaries – Mutable ✅ Sets – Mutable 🚫 Strings – Immutable A perfect cheat sheet for Python beginners and developers! 🐍 #Python #Coding #DataStructures #Programming #LearnPython #PythonTips #SoftwareDevelopment #CodingCommunity #PythonDeveloper yogesh.sonkar.in@gmail.com 8576077090

After coding in Python professionally for around six months, I discovered something that really surprised me. There are two main libraries we use all the time Pandas and NumPy. But what I didn’t realize earlier is how differently they handle data internally. Pandas is column-oriented. It means it processes data column by column. NumPy is row-oriented by default (though you can make it column oriented also), it processes data row by row. Because of that, if you try iterating by rows in Pandas, it becomes much slower compared to iterating by columns. The same logic, same data but a big difference in execution time. Once you know this, it completely changes how you write and optimize your Python code. #Python #Pandas #NumPy #DataScience #MachineLearning #CodingTips #Efficiency

🐍 Day 2/30 — Comments in Python Today, I learned about comments in Python a simple but very important concept. Comments help us explain code, and Python completely ignores them during execution. ✔️ Single-line Comment # This is a comment print("Comments are ignored by Python") ✔️ Multi-line Comment """ This is a multi-line comment """ print("Learning comments!") 🧠 Tip: Use comments to explain logic, make code readable, and help others understand your program. #Python #Programming #LearnPython #PythonBasics #Scaler #CodingJourney #PythonForBeginners #30DaysOfCode #30DaysOfPythonjourney!