Python Basics: Variables Syntax and Operators Explained

*Day 27 of my python learning journey 3 simple Python concepts I learned today: 1. Garbage Collector: Python automatically removes unused data from memory. So we don’t need to clean it manually. It keeps code fast and memory safe. 2. 4 Pillars of OOP : - >Encapsulation→ Keep data safe inside class - >Abstraction → Hide extra details, show only important stuff - >Inheritance → Child class can use parent class features - >Polymorphism → Same name, different work. Like `+` for add & join 3. pass Statement: Used when we don’t want to write code yet but need to keep empty space. Ex: `if True: pass` → Python won’t give error. Learning to write cleaner and smarter code step by step. Special thanks to the CEO G.R NARENDRA REDDY Sir for constant guidance and motivation. #Python #OOP #100DaysOfCode #LearningJourney

Day 2 – Python Basics+ | Functions, Data Structures, and File I/O** Continuing the beginner Python series with 15 new scripts that build on fundamentals and introduce practical, everyday concepts. **Focus areas for Day 2:** Functions, lists, dictionaries, string methods, control flow, and basic file handling. Each file isolates one concept to support focused learning and easy reference. **Day 2 program list:** | Concept | File | | --- | --- | | Function definition & calls | `01_functions_basic.py` | | Built-in list operations | `02_list_operations.py` | | List comprehensions | `03_list_comprehension.py` | | String methods | `04_string_methods.py` | | Dictionary lookups | `05_dictionary_basics.py` | | Dictionaries as counters | `06_count_characters.py` | | `while` loops + `random` | `07_guessing_game.py` | | Return values | `https://lnkd.in/gFhEe698` | | Sets for deduplication | `09_remove_duplicates.py` | | Math with loops | `10_sum_of_digits.py` | | String slicing | `11_slice_examples.py` | | Sorting & edge cases | `12_find_second_largest.py` | | File read/write | `13_file_write_read.py` | | Anagram checking | `14_check_anagram.py` | | Modules `random` & `string` | `15_simple_password_gen.py` | **How to use:** All scripts use only the Python standard library. Clone the repo, ensure Python 3 is installed, and run any file directly: `python 05_dictionary_basics.py` To run everything at once, reuse the Day 1 runner and update the `PROGRAMS` list with the Day 2 filenames. This set is designed for students, self-learners, and instructors who need clear, modular examples for practice or teaching. Repository link in the first comment. Building this as a multi-day series. If you found Day 1 helpful, Day 2 adds the data structures and file handling that most beginners need next. What topic should Day 3 cover — error handling, OOP basics, or working with APIs? #Python #SoftwareEngineering #LearnToCode #Programming #ComputerScience #DataStructures #SoftwareDevelopment #TechEducation #OpenSource #GitHub #Coding #PythonProgramming Thread Link :- https://lnkd.in/gzzpXUid

🚀 Exploring Python Data Structures: The Building Blocks of Efficient Code In Python, choosing the right data structure is key to writing clean, efficient, and optimized programs. Here’s a quick overview of the four fundamental data structures every developer should master: 🔹 List Ordered, mutable, and allows duplicate elements. Ideal for storing collections that may change over time. 🔹 Tuple Ordered but immutable. Useful when data integrity is important and values should not be modified. 🔹 Set Unordered collection with no duplicate elements. Perfect for operations like union, intersection, and removing duplicates. 🔹 Dictionary (Dict) Stores data in key-value pairs. Highly efficient for fast lookups and structured data representation. 💡 Understanding when and where to use each of these structures can significantly improve both performance and readability of your code. 📌 Keep learning, keep building! Python offers endless possibilities when you master its core concepts. #Python #Programming #DataStructures #Coding #SoftwareDevelopment #LearningJourney

🐍 String Handling in Python – A Must-Know Skill for Every Developer! If you're learning Python, mastering strings is one of the most important steps 🚀 From simple text processing to real-world applications like data analysis, APIs, and automation — string handling is everywhere. 💡 Here’s what I explored: ✔️ String basics (creation & indexing) ✔️ Slicing & accessing characters ✔️ Common string methods (upper(), lower(), replace(), etc.) ✔️ String formatting using f-strings 🔥 ✔️ Real-world examples 📌 One key takeaway: 👉 Strings in Python are immutable — which means they cannot be changed once created! 👨💻 Example: text = "hello" text = "H" + text[1:] print(text) # Hello 📖 Read the full blog here: 👉https://lnkd.in/d2R9_F-Z ✨ Whether you're a beginner or revising fundamentals, strong string handling skills will make your Python journey smoother. 💬 What was the first Python concept you learned? #Python #PythonProgramming #LearnPython #Coding #Programming #PythonForBeginners #Tech #100DaysOfCode

🚀 Learning Python OOP – Encapsulation in Action! Today I practiced a simple Bank Account example to understand the concept of Encapsulation in Python. In this example, I created a Bank class where sensitive data like PIN and balance are kept private using double underscores (__pin, __balance). This ensures that the data cannot be accessed directly from outside the class and can only be used through defined methods like checking balance or updating the PIN. This concept helps in: ✔ Protecting sensitive data ✔ Improving code security ✔ Controlling how data is accessed and modified This example was taught in our class, and implementing it on my own really helped me understand how encapsulation works in real scenarios. Excited to keep building more concepts as part of my Data Science learning journey 📊🐍 #Python #PythonLearning #ObjectOrientedProgramming #Encapsulation #DataScienceJourney #Coding #LearningByDoing #BeginnerProgrammer

🚀 Python Practice – Lambda Functions, Map & Filter Continuing my Python learning journey with more practical concepts 🐍 In this session, I explored: ✔️ Lambda Functions (anonymous functions) ✔️ Map() for transforming data ✔️ Filter() for selecting data ✔️ Using lambda with map & filter Practiced writing concise and efficient code using lambda functions and applied them with map() and filter() to work with lists and datasets. These concepts are helping me understand how to process and transform data more effectively 📊 A big thanks to Krish Naik for his amazing teaching and clear explanations 🙌 Documented all my practice in a Jupyter Notebook and shared it as a PDF to track my progress. Learning how to write cleaner and more optimized code step by step 💡 Next: Import Modules and Packages in Python 🚀 #Python #Lambda #Map #Filter #DataAnalytics #LearningJourney #Coding #KrishNaik

DAY 2 – #LearningInPublic (Python Basics) 🧠 Today’s Focus: My First Calculation in Python ✅ Every programming journey starts with something small — today I wrote my first Python calculation using variables and addition. Here’s what I learned: 📌 Step 1: Create Variables I stored numbers inside variables: • a = 10 • b = 10 Variables act like containers that hold values. 📌 Step 2: Perform Calculation I added both variables: sum = a + b Python calculated the result and stored it in a new variable called sum. 📌 Step 3: Print Output Finally, I displayed the result using print(): Output: 20 Wow You have done your first calculation in Python 💡 Key Concepts Learned • Variables • Assignment operator (=) • Addition operator (+) • Storing results in variables • print() function • Running first Python program This may look simple, but this is the foundation of everything in Python: Data Science Machine Learning AI Automation Web Development Every advanced system starts with basic calculations like this. Small steps. Big journey ahead. 🚀 #LearningInPublic #Python #PythonBeginner #DataScience #AI #Programming #100DaysOfCode #DeveloperJourney #MachineLearning #AIEngineering

🚀 Python Variables Explained (Beginner Friendly) Today I practiced Python variables and naming conventions 1. Basic Variable Declaration name = "Ankaj" age = 36 salary = 50000 print("Name:", name) print("Age:", age) print("Salary:", salary) 2. Variable Naming Rules user_name = "Ankaj" age1 = 25 _salary = 30000 print(user_name) print(age1) print(_salary) 3. Constants Convention (Uppercase) PI = 3.14 MAX_SPEED = 120 COMPANY_NAME = "ABC Pvt Ltd" print(PI) print(MAX_SPEED) print(COMPANY_NAME) Key Learnings: * Variables store data values * Naming rules matter in clean code * Constants are written in UPPERCASE by convention I’m building my Python skills step by step Follow Ankaj Python Hub for my daily learning journey #Python #Coding #LearnPython #100DaysOfCode #Programming

🚀 Python Variables Explained (Beginner Friendly) Today I practiced Python variables and naming conventions 1. Basic Variable Declaration name = "Ankaj" age = 36 salary = 50000 print("Name:", name) print("Age:", age) print("Salary:", salary) 2. Variable Naming Rules user_name = "Ankaj" age1 = 25 _salary = 30000 print(user_name) print(age1) print(_salary) 3. Constants Convention (Uppercase) PI = 3.14 MAX_SPEED = 120 COMPANY_NAME = "ABC Pvt Ltd" print(PI) print(MAX_SPEED) print(COMPANY_NAME) Key Learnings: * Variables store data values * Naming rules matter in clean code * Constants are written in UPPERCASE by convention I’m building my Python skills step by step Follow Ankaj Python Hub for my daily learning journey #Python #Coding #LearnPython #100DaysOfCode #Programming