Day 25 of my python learning journey Today’s learning: Understanding how Python classes actually work under the hood. ☞The `*init*` constructor is the first method that runs automatically when we create an object ☞Its main job is to initialize data. We don’t call it — Python calls it for us. ☞ Normal methods are different: we define them for specific tasks and call them manually whenever needed. One runs on its own, the other waits for us. ☞Also learned about the 3 types of variables in Python classes: 1. Instance variable → `self.name` — Each object gets its own separate copy. Change it for one object, others won’t be affected. 2. Static/Class variable → Defined inside class but outside methods. Only one copy exists and all objects share it. 3. Local variable → Created inside a method, used for temporary work, and deleted once the method ends. These small OOP concepts are the building blocks for writing clean, real-world code. Special thanks to the CEO G.R NARENDRA REDDY Sir for constant guidance and motivation. #Python #OOP #LearningJourney #Programming #Coding #StudentLife #100DaysOfCode

🚀 Python Basics to Advanced Learning Series – Day 6 Today’s learning was all about working with strings in Python. It was a very interesting session because I got to understand how we can access, modify, and format text in different ways. What I learned today: • Understanding string indexing to access characters using positions • Learning slicing operation to extract parts of a string using "[start:end:step]" • Practicing different slicing variations, including reverse and step slicing • Solving problems based on string comparison and manipulation • Learning useful string methods like "strip()", "split()", "join()", "replace()", "upper()", "lower()", "title()" • Understanding how to clean and modify strings effectively • Learning string formatting techniques using "f-strings" and "format()" • Writing programs like reversing a string and checking equality of two strings This session helped me understand how important strings are in real-world programming. Practicing problems made the concepts much clearer and improved my confidence. I’m learning all these concepts as part of my Python Basics to Advanced Learning Series at Global Quest Technologies, and I can clearly see my improvement day by day. Excited to continue this journey and learn more 🚀 #Python #PythonProgramming #LearningJourney #Coding #Strings #ProblemSolving #SoftwareDevelopment #TechLearning #Developers #globalquesttechnologies #GQT

🚀 Day 6 of Python Learning: Functions in Python Today I learned how to organize and reuse code using functions — a key concept for writing clean and efficient programs. 🔹 What is a Function? A function is a block of code that performs a specific task and can be reused whenever needed. 🔸 Creating a Function Example: def greet(): print("Hello, welcome to Python!") greet() 🔸 Function with Parameters Example: def greet(name): print("Hello", name) greet("Rohit") 🔸 Function with Return Value Example: def add(a, b): return a + b result = add(5, 3) print(result) 💡 Key Learning: Functions help reduce code repetition and make programs more structured and readable. 🧪 Practice Task: Create a function to check even or odd Create a function to add two numbers Create a function to find the square of a number 🎯 Interview Question: What is the difference between return and print in Python? Answer: "print displays output on the screen, while return sends the value back to the function caller." #Python #Learning #CodingJourney #Day6 #Programming #SDET Masai #dailylearning #masaiverse #SDET

🚀 Day 10 – Python Lists Continuing my Python learning journey, today I explored some important concepts related to Python Lists. I learned how id() helps in checking the memory location (identity) of a list, and how aliasing works when two variables refer to the same list. This made me realize how changes in one list can affect another. I also understood cloning, where using methods like copy() or slicing ([:]) creates a completely new list with a different identity. This is very useful to avoid unintended changes in programs. Additionally, I practiced list operations like sorting using sort() and sort(reverse=True), and explored useful methods such as append(), extend(), remove(), pop(), clear(), and reverse(). 📌 Key Learning: Being careful with aliasing is very important to prevent unexpected behavior in lists. 🙏 A special thanks to Global Quest Technologies for providing this valuable learning opportunity and continuous support throughout the training. Thanks to our CEO G.R NARENDRA REDDY Every day is bringing me closer to mastering Python step by step! 💻✨ #Python #PythonLists #CodingJourney #LearningPython #DeveloperLife #100DaysOfCode #TechSkills #Programming #GlobalQuestTechnologies

📘 Python Learning – Day 4 Highlights 🐍 Today’s class was about Lists & Basic List Operations — super useful for handling multiple data! 🔹 What is a List? An ordered, changeable collection that allows duplicates 🔹 Accessing Data: Indexing & slicing (list[0], list[1:4]) 🔹 List Operations: ✔ Add → append(), insert() ✔ Remove → remove(), pop(), clear() 🔹 Built-in Functions: len(), sum(), max(), min(), sort(), reverse() 🔹 Practice Program: Created a simple menu-driven program to add, remove, and display list items 💡 Lists make data handling easier and more dynamic in Python Step by step, getting more comfortable with coding 🚀 #Python #Programming #Coding #LearningJourney #Beginner #TechSkills

Decision Making (if-else) Today I learned how Python makes decisions using conditions. This is one of the most important concepts in programming. 🔹 What is Decision Making? It allows a program to take actions based on conditions. 🔸 if Statement Used to execute code only if a condition is true. Example: age = 18 if age >= 18:   print("You can vote") 🔸 if-else Statement Executes one block if condition is true, otherwise another block. Example: age = 16 if age >= 18:   print("Eligible") else:   print("Not eligible") 🔸 if-elif-else Statement Used when we have multiple conditions. Example: marks = 75 if marks >= 90:   print("Grade A") elif marks >= 60:   print("Grade B") else:   print("Grade C") 💡 Key Learning: Indentation is very important in Python. It defines the structure of code. 🧪 Practice Task: Create a program that checks whether a number is even or odd. 🎯 Interview Question: What is the difference between if and elif? Answer: "if" checks a condition independently, while "elif" is used to check multiple conditions in sequence. #Python #Learning #CodingJourney #Day4 #Programming #SDET Masai #dailylearning #masaiverse

📘 Python Learning – Lists at a Glance Today I focused on understanding one of the most important data structures in Python — Lists. Here’s a quick snapshot of what I learned: 🔹 What is a List? A list is a collection of items that is ordered, changeable, and allows duplicates. 🔹 Creating a List fruits = ["apple", "banana", "cherry"] 🔹 Accessing Elements fruits[0] # apple fruits[-1] # cherry 🔹 Common List Methods append() → Add item insert() → Add at specific position remove() → Remove item pop() → Remove by index index() → Find position 🔹 List Slicing fruits[0:2] # ['apple', 'banana'] 🔹 List Comprehension (Quick & Powerful) squares = [x**2 for x in range(5)] 💡 Lists are extremely flexible and form the foundation for many data operations in Python. Mastering them is a big step toward becoming confident in programming and data analysis. Muhammad Rafay Shaikh#Python #LearningJourney #DataAnalytics #Programming #YouExcel #WomenInTech #CareerGrowth

Python Learning Journey – Day 7 🚀 Today’s focus was on working with lists and improving problem-solving using Python. I practised different list operations and real-world scenarios to better understand how data can be handled efficiently. Here’s what I worked on: • Reversing a list • Finding common elements between two lists • Extracting unique elements • Removing duplicates while preserving order • List concatenation and repetition • Removing elements based on index conditions • Inserting elements into a list • List comprehensions (squares, even numbers, word lengths) This session helped me get more comfortable with list manipulation and writing cleaner, more efficient Python code using comprehensions. Step by step, improving logic and coding confidence. Big thanks to VASU KUMAR PALANI and PythonLife for the continuous guidance and support. #Python #CodingJourney #LearnInPublic #PythonLists #Programming #100DaysOfCode #Consistency #TechSkills

I used to write code to solve problems… now I’m learning how to structure it. Today’s Python MahaRevision 🧩 Chapter 10: Object-Oriented Programming This chapter introduced concepts that actually make code feel organized: → Classes & Objects → Class attributes vs Instance attributes → Understanding “self” (this one took a moment to click) → init() constructor → @staticmethod At first, all these terms felt a bit overwhelming. But while doing the practice set, things started making more sense. Practice set done: Created classes, worked with objects, used constructors, and experimented with different types of methods. Biggest takeaway: Good code isn’t just about making it work… it’s about making it structured and reusable. Still learning, but definitely seeing growth. #Python #LearningInPublic #CodingJourney #Programming #OOP

🚀 Day 3 of Learning Python Today was all about decision-making and loops — the core of writing smart programs. Things are getting more exciting! 🔹 Conditionals (if, elif, else) These help a program make decisions based on conditions. Example: age = 18 if age >= 18: print("You can vote") else: print("You cannot vote") 🔹 Nested Conditionals Condition inside another condition for more complex logic. Example: age = 20 has_id = True if age >= 18: if has_id: print("Entry allowed") else: print("ID required") 🔹 Loops in Python Loops help us repeat actions efficiently. 1️⃣ For Loop (when we know how many times to run) for i in range(5): print("Hello", i) 2️⃣ While Loop (runs until a condition is false) count = 1 while count <= 5: print(count) count += 1 💡 Today I realized: programming is not just about syntax, it’s about thinking logically and solving problems step by step. Consistency check ✅ Day 3 done… many more to go! #Python #CodingJourney #LearnInPublic #Programming