Bikki Singh’s Post

Python Learning Journey – Deep Dive into Core Concepts Continuing my Python journey, today I explored some powerful and practical concepts that strengthen problem-solving skills: 🔹 Loops in Python – for loop & while loop 🔹 Strings in Python ✔ Finding length using len() ✔ Accessing characters using index & slicing ✔ Exploring string methods & formatting 🔹 Hands-on Practice ✔ Program to accept a string & find its reverse 🔹 List Data Structure ✔ Built-in functions: len(), index(), append(), insert(), remove(), clear(), sort() ✔ Understanding id() function ✔ Aliasing vs Cloning of lists ✔ Cloning using slicing & copy() 🔹 Operators on Lists ✔ Multiplication & Concatenation ✔ Relational & Membership operators 🔹 Advanced Concepts ✔ Nested Lists ✔ List Comprehension ✔ Complete List Data Structure Summary 💡 Learning Python is all about consistency, practice, and building logic step by step. #Globalquesttechnologies #GR Narendra Reddy #Python #CodingJourney #LearningPython #Programming #Developers #100DaysOfCode #TechSkills #PythonBasics

🔹 Python Learning – Working with Dictionaries Efficiently 🔹 Today I practiced how to access and filter data from Python dictionaries 🐍 Here’s what I explored: ✔️ Iterating through dictionary keys ✔️ Fetching specific key-value pairs ✔️ Writing cleaner and more efficient code 💡 Example: bdict={'a':'10','b':'40','c':'50','d':'praveen','e':'fun','f':'joy'} for key, value in bdict.items(): if key == 'd': print(key, value) 📌 Key takeaway: While loops help in understanding data flow, direct access (dict[key]) is often more efficient when you already know the key. 🚀 Improving my Python fundamentals step by step and focusing on writing cleaner code! #Python #Learning #Programming #DevOps #Automation #CodingJourney

Entering Python Data Structures 🚀 Small update in my Python learning journey. After finishing the fundamentals, I’ve now started working with Python data structures. So far I’ve begun exploring: 📦 Lists 🧺 Tuples 🎯 Sets 🗂 Dictionaries What’s interesting is how these structures solve different problems. For example: 📦 Lists are great when order matters 🧺 Tuples are useful when data shouldn’t change 🎯 Sets remove duplicates automatically 🗂 Dictionaries let you map keys to values Right now I’m doing the same thing that helped me with the basics: generating practice exercises with AI. Each set of exercises forces me to write small functions and still include type hints, which helps reinforce both concepts at the same time. It’s amazing how much clearer things become once you start solving small problems instead of just reading explanations. 💬 For those further along in Python: Which data structure do you end up using the most in real projects? P.S. Repost if you find this useful or helpful for other Tags #Python #PythonProgramming #PythonDeveloper #PythonBeginner #CodingJourney #Programming #TechCareers #BeginnersMindset #Consistency #SelfTaught #CareerGrowth #Upskilling

🐍 Day 2 of Learning Python Continuing my Python learning journey and today’s focus was on understanding how Python actually executes code behind the scenes, along with practicing some fundamental concepts. 🔎 What I explored today: ⚙️ How Python Executes Code I learned that Python does not directly run the code we write. Instead, the Python interpreter first converts the source code into Bytecode, which is then executed by the Python Virtual Machine (PVM). Understanding this process helped me see how Python translates human-readable instructions into something a computer can execute. 🧠 Variables in Python After that, I practiced working with variables, which are used to store data in memory. Python makes this simple since we don’t need to explicitly declare the data type — the interpreter handles it dynamically. 💻 Taking User Input To practice further, I wrote a small program where the user enters their name and age, and the program prints a formatted message. Example concept used: input() for user input. int() to convert age into an integer. f-strings for clean and readable output formatting. This small exercise helped me understand data types, variable assignment, and interaction with users through the terminal. Every day I’m trying to strengthen the fundamentals because strong basics make advanced topics like automation, AI, and machine learning easier to approach later. Looking forward to exploring more Python concepts tomorrow. 🚀 #Python #PythonProgramming #LearningPython #CodingJourney #100DaysOfCode #SoftwareDevelopment #ProgrammingBasics #TechLearning #Developers #FutureEngineer #LearnInPublic #PythonBeginner #SDE

🚀 Learn Python – Sets If you want to learn how to handle unordered, unique collections of data, mastering Sets in Python is essential. They are the ultimate tool for automatic duplicate removal. I’ve created a structured learning section on my website that explains sets step-by-step with practical examples. 📚 Explore the tutorial: https://lnkd.in/g7pykaF9 🔹 What you will learn • Creating sets with curly braces {} and the set() function   • Automatic duplicate removal for data cleaning   • Understanding unordered and unindexed collections   • Making empty sets correctly (set() vs {})   • Use cases: Mathematical operations and unique value filtering This resource is designed to help developers learn Python with practical examples and structured lessons. Happy Learning! 🚀 #Python #Coding #DataScience #LearnPython #Programming #PythonBasics

Python for Everything Start learning Python step by step https://lnkd.in/deqpUNgX Recommended courses Python for Everybody https://lnkd.in/dw3T2MpH CS50’s Introduction to Programming with Python https://lnkd.in/dkK-X9Vx What you can build with Python Python + Pandas Data manipulation Python + Scikit-learn Machine learning Python + TensorFlow Deep learning Python + Matplotlib Data visualization Python + Seaborn Advanced charts Python + BeautifulSoup Web scraping Python + Selenium Browser automation Python + FastAPI High performance APIs Python + SQLAlchemy Database access Python + Flask Lightweight web apps Python + Django Scalable platforms Python + OpenCV Computer vision Python + Pygame Game development Python is one of the most versatile languages in tech. From automation to AI you can build almost anything. More programming guides https://lnkd.in/dBMXaiCv #Python #Programming #LearnPython #DataScience #ProgrammingValley

🧠 Python Concept: set() for Removing Duplicates ✨ Sometimes lists contain repeated values. ✨ Python provides a simple way to remove them. Example numbers = [1, 2, 2, 3, 4, 4, 5] unique_numbers = list(set(numbers)) print(unique_numbers) Output [1, 2, 3, 4, 5] 🧠 What Happens? set() stores only unique values, so duplicates automatically disappear. 🧒 Simple Explanation 🍎 Imagine a basket of fruits 🍎 If you put two apples in a set basket, only one apple remains. ⚠️ Important Note set() does not preserve order. If order matters: numbers = [1, 2, 2, 3, 4, 4, 5] unique_numbers = list(dict.fromkeys(numbers)) print(unique_numbers) Output [1, 2, 3, 4, 5] 💡 Why This Matters ✔ Removes duplicates easily ✔ Cleaner data processing ✔ Very common in data handling ✔ Simple and Pythonic 🐍 Python often gives you simple tools for common problems 🐍 set() is one of the easiest ways to remove duplicates from a list. #Python #PythonTips #PythonTricks #AdvancedPython #CleanCode #LearnPython #Programming #DeveloperLife #DailyCoding #100DaysOfCode

🚫 Most beginners use Python dictionaries WRONG… …and they don’t even realize it. When I first learned dictionaries, I thought: “It’s just key → value… easy.” But then I hit a bug that made NO sense. The truth is most people skip: A dictionary is like a smart storage system: Looks simple, right? But the REAL rule is: Keys must be IMMUTABLE (unchangeable) You CAN use: Strings → "name" Integers → 1 Floats → 1.5 Tuples → (1, 2) ❌ You CANNOT use: Lists ❌ Sets ❌ Dictionaries ❌ ⚠️ Why? Because Python needs keys that stay stable. If keys change… your data breaks. 🧠 Simple memory trick: 👉 “Keys = Locked 🔒 (immutable) 👉 Values = Flexible 🔄 (anything)” Once I understood this… Everything clicked: ✔ Cleaner code ✔ Fewer bugs ✔ Better logic If you’re learning Python, don’t just memorize… Understand WHY things work. That’s where real growth starts #Python #Coding #Programming #LearnPython #DataAnalytics #BeginnerProgrammer #TechSkills #100DaysOfCode #Developers #AI #CareerGrowth

🚀 Python Learning Series – 2: Variables, Data Types & Operators 🐍💻 After understanding the basics of Python in Series 1, the next important step is mastering Series 2, because this is the foundation of writing real programs. 📌 In Series 2, we learn: ✅ 🔹 Variables Variables are used to store values in memory. Example: name = "ABC" age = 25 ✅ 🔹 Rules of Variable Naming ✔ Must start with a letter or underscore ✔ Cannot start with a number ✔ No special symbols allowed ✅ 🔹 Python Data Types Python supports multiple data types such as: 📍 int (10, 20) 📍 float (12.5, 3.14) 📍 str ("Python") 📍 bool (True / False) 📍 list, tuple, set, dict ✅ 🔹 Type Checking & Type Casting We can check the type using: print(type(x)) And convert data types using: int(), float(), str() ✅ 🔹 Operators in Python Python provides different types of operators: ➕ Arithmetic (+, -, *, /, %) 🟰 Assignment (=, +=, -=) 🔍 Comparison (==, !=, >, <) 🧠 Logical (and, or, not) 📌 Membership (in, not in) 💡 Conclusion: Without understanding variables, data types, and operators, you cannot write proper Python programs. This chapter is the real base of coding! 📍 If you are a beginner, focus on practicing this chapter daily with small programs. #acsredutech #Python #PythonProgramming #LearnPython #Coding #ProgrammingForBeginners #DataTypes #Operators #ComputerEducation #SkillDevelopment #TechSkills #PythonCourse

🔹 Learning Python – Dictionaries in Action! 🔹 Today I explored one of the most useful data structures in Python — Dictionaries 🐍 Here’s what I practiced: ✔️ Accessing keys, values, and items ✔️ Converting dictionary data into lists ✔️ Understanding how key-value pairs work 💡 Sample snippet: bdict={'a':'10','b':'40','c':'50','d':'praveen','e':'fun','f':'joy'} print(bdict.keys()) print(bdict.values()) print(bdict.items()) 📌 Key takeaway: Dictionaries are powerful for handling structured data efficiently and are widely used in real-world applications like APIs, configurations, and data processing. 🚀 Every small step in learning brings me closer to mastering Python! #Python #Learning #Programming #DevOps #Automation #CodingJourney