Anisur Rahman’s Post

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

Mastering Python starts with building a strong foundation 💡 From basic arithmetic to functions, loops, and powerful libraries like NumPy & SymPy — this journey covers everything needed to understand the core of Python 🐍 Learning by doing, experimenting with code, and solving real problems is the key to becoming confident in programming 🔥 📌 Key Takeaways: • Python basics & data types • Lists, loops & decision-making • Functions & functional programming • Libraries for math, data & visualization • Hands-on examples & problem-solving approach Keep coding, keep exploring — that’s how real growth happens 💻✨ All credit goes to the original creater of the material. Feel free to Repost & follow Himansh S. for more helpful resources. DM me for more helpful resources. #Python #Programming #CodingJourney #DataScience #MachineLearning #Developers #LearnPython #TechSkills #CareerGrowth

Day 35 of python learning journey Today’s Python topic: Types of Patterns 👩💻🔥 Practiced how to build logic using patterns. As shown in the image, I covered 4 main types: 1. Star Patterns → Using `*` to create shapes like triangles and pyramids. Helps understand loops and spacing. 2. Number Patterns→ Arranging numbers in increasing or decreasing order. Builds strong logical thinking. 3. ABC Patterns → Printing alphabets A, B, C in order. Great for understanding sequences. 4. Pyramid Patterns → Centered shapes using spaces + symbols. Best way to learn alignment and indentation. Why patterns matter: They improve programming skills, help with loops, build logic, and are super useful in coding interviews. Bottom line from today: *Patterns = Practice + Logic + Creativity* Special thanks to the CEO G.R NARENDRA REDDY Sir for constant guidance and motivation. #Python #PatternProgramming #Loops

Day 1: Introduction to python basics 🚀 Small Steps, Big Learning! Today I practiced a simple yet powerful concept in Python — calculating total distance and travel time, and then formatting the output using rounding. 📌 What I did: - Calculated total distance between two points - Computed travel time using speed - Applied "round()" to present clean, readable results 💡 Key takeaway: Even basic problems help build strong fundamentals in programming. Writing clean and precise outputs is just as important as solving the problem itself. 📊 Example insight: A raw output like "6.6923076923" becomes much more meaningful when presented as "6.69" or "6.692" depending on precision needs. 🔥 Consistency in learning > Complexity of problems. #Python #CodingJourney #100DaysOfCode #DataScience #Programming #LearningEveryday Day 1/100 days Become an Data Scientist

I’m excited to share handwritten Python notes, covering everything from fundamentals to important advanced topics! 📖✨ These notes include: ✔️ Python Introduction & Syntax ✔️ Variables, Data Types & Operators ✔️ Strings, Lists, Tuples, Sets & Dictionaries ✔️ Conditional Statements & Loops ✔️ Functions & Arrays ✔️ Object-Oriented Programming (Classes, Inheritance, Polymorphism) ✔️ File Handling & JSON ✔️ And much more! Each topic is explained in a simple, structured, and easy-to-understand way, making it helpful for beginners as well as revision purposes. 📌 According to the notes (see index pages), the content is organized step-by-step, starting from basics and progressing to advanced concepts, which makes learning Python smooth and effective. 💡 This journey helped me strengthen my programming fundamentals and improve my problem-solving skills. I hope these notes help others who are learning Python! 🙌 #Python #Programming #Coding #Learning #StudentLife #PythonNotes #DeveloperJourney #TechSkills #ComputerScience #SelfLearning

🚀 Exploring Python Data Types – My Learning Journey Today I spent some time strengthening my fundamentals in Python, focusing on different data types and how they work in real scenarios. Here's a quick snapshot of what I practiced 👇 🔹 Text Type – string 🔹 Numeric Types – int, float, complex 🔹 Boolean – True / False 🔹 Sequence Types – list, tuple, range 🔹 Mapping Type – dictionary 🔹 Set Type – set 🔹 None Type – representing no value One simple but important takeaway: understanding data types is the foundation for writing efficient and bug-free code. Even a small concept like None plays a big role in real-world applications. 💡 Example: remarks = None print(remarks, type(remarks)) Grateful for the guidance and continuous learning inspiration 🙏 #Python #Programming #LearningJourney #DataTypes #CodingBasics #TechSkills #Upskilling Satish Dhawale

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

📘 Python Learning – Day 6 Highlights 🐍 Today’s class focused on Dictionaries & Loops — key concepts for real programming! 🔹 Dictionaries: Store data using key–value pairs Access, update, and manage data easily using methods like keys(), values(), items(), get() 🔹 Loops in Python: ✔ for loop → when iterations are known ✔ while loop → runs based on condition 🔹 Control Statements: break → stop loop continue → skip iteration 🔹 Practice Programs: ✔ Student record using dictionary ✔ Prime number checker ✔ Factorial calculation 💡 Learning how to store structured data and control program flow step by step 🚀 #Python #Programming #Coding #LearningJourney #Beginner #TechSkills

Python Learning Journey – Day 5 🚀 Loops are where logic starts to feel powerful. Today, I focused on applying for and while loops to solve real problems instead of just learning syntax. Here’s what I built: • Calculated sum of squares (1 to 5) • Created a countdown program using while loop • Printed multiplication tables using nested loops • Found sum of even numbers in a range • Calculated sum from 1 to n • Iterated through lists efficiently • Printed custom ranges (-10 to -1) • Generated cubes of numbers Each problem improved my understanding of iteration, control flow, and writing cleaner logic. Consistency matters more than speed. One step every day. Big thanks to VASU KUMAR PALANI and PythonLife for the continuous learning support. #Python #CodingJourney #LearnInPublic #PythonLoops #Programming #Consistency #TechSkills

📘 Python Learning – Day 8 Highlights 🐍 Today’s class was about writing smarter and more flexible functions 👇 🔹 Variable Scope & LEGB Rule: Learned how Python searches variables → Local → Enclosing → Global → Built-in 🔹 Local vs Global Variables: Understanding where variables can be accessed and used 🔹 Advanced Arguments: ✔ *args → handles multiple positional arguments (as tuple) ✔ **kwargs → handles keyword arguments (as dictionary) 🔹 Flexible Functions: Created functions that can take unlimited inputs and return dynamic results 💡 Example: def add(*args): return sum(args) Step by step, moving towards writing more professional Python code 🚀 #Python #Programming #Coding #LearningJourney #Beginner #TechSkills