Srikant Kumar’s Post

🚀 Day 1/5 – Building, not just learning. Started a 5-day intensive program on Full Stack Development & Advanced DSA with Java. Instead of just going through theory, I focused on applying the basics immediately. 🔸 Learned today: Python fundamentals — variables, operators, conditional logic, and how programs actually flow. 🔸 Built: A simple Transaction System with: ✔ Deposit ✔ Withdrawal ✔ Balance Check ✔ Transaction History Faced issues with input handling and logic flow fixed them through debugging and iteration. 🎥 Sharing the execution below. This is just the start. The goal isn’t to complete a course it’s to build real problem-solving ability. #FullStackDevelopment #Python #DSA #BuildInPublic #LearningByDoing #Coding

Fundamentals… Many of us are avid users of the Python Pandas library. The read_csv function is the basic step in reading data. After data is read, the most basic model to create is a simple linear regression model. While we (including myself) deal with the abstracted form of these functions, in a learning curve, it is imperative we understand what happens at the basic level. And when dealing with programming at the basic level, then it is not far fetched to bring the C language into discussion. Learning C is fun, it tires you out sometimes, specially when you’ve learnt C++, Python and Java beforehand, C is still important. While writing this subroutine, I was able to think from a fundamental perspective as to how, FILE input is read, how to escape string delimiters, how to read integer input, perform operations on it to build a function, we use so widely. Read the code, and you’ll understand, how memory allocation is being done depending on the file, how operations are formed and stored to be reused, what is scope and what would happen in variables are accessed outside of scope. Learning the fundamentals not only helps you in becoming better engineers but also lets you think in a manner where you can solve problems at the basic level without a lot of overhead. P.S( The code might replicate the initial functionality, but it still doesn’t work a optimally, but it does provide a fundamental layout, suggestions and improvements are always welcome). Link: https://lnkd.in/ggPaeRx2 #opensource #C #programming #fundamentals #learninpublic

Day 59 of my #100DaysOfCode challenge 🚀 Today I implemented a Python program to count the number of set bits (1s) in a binary number. This uses an efficient bit manipulation technique and is very important in DSA & low-level optimization. What the program does: • Takes an integer n as input • Converts it conceptually to binary • Counts the number of set bits (1s) • Uses an optimized approach instead of checking each bit Example Outputs: 29 (11101) → 4 set bits 7 (111) → 3 set bits 16 (10000) → 1 set bit How the logic works: Uses Brian Kernighan’s Algorithm: n = n & (n - 1) • This removes the rightmost set bit in each step • Repeat until n = 0 • Count how many times this operation runs Why this is important: – Much faster than checking every bit ⚡ – Used in: Bit manipulation problems Competitive programming Low-level optimizations – Common in coding interviews Time Complexity: O(number of set bits) Space Complexity: O(1) Key Takeaways: – Understanding bitwise operations – Efficient counting techniques – Writing optimized solutions – Learning real-world low-level logic #100DaysOfCode #Day59 #Python #Programming #DSA #Algorithms #BitManipulation #Binary #CodingPractice #ProblemSolving #InterviewPrep #Optimization #DeveloperJourney #Consistency #BTech #CSE #AIandML #VITBhopal #TechJourney

Advanced Python 2026 (Part 5) is Live: Inheritance & Encapsulation Writing code that works is one thing. Writing code that is reusable, scalable, and secure is another. In Part 5 of the Advanced Python 2026 series, we dive deeper into Object-Oriented Programming by exploring: • Inheritance → Reuse code and reduce duplication • Encapsulation → Protect and control your data These concepts are essential for building real-world systems—from backend applications to enterprise software. If you're serious about becoming a better developer, this is a key step forward. Read Part 5 here: https://lnkd.in/eAbjRmks #Python #Programming #JMSM #KNKA #SoftwareDevelopment #OOP #Coding #Developers #TechEducation #CleanCode #Python2026

🚀 From learning Python to building real projects… 📊 I’ve been consistently working on my NAVTACC Python assignments, focusing on practical problem-solving and real-world logic. I’ve compiled my work into a GitHub repository showcasing different concepts and implementations: https://lnkd.in/dT79_YvN 💡 What I worked on: • Core Python programming concepts • Functions, loops, and logic building • Data handling and problem-solving • Writing clean and structured code • Applying concepts through practical assignments This journey is helping me strengthen my foundation in Python, which directly supports my work in Data Analytics and Business Intelligence. 📌 For me, it’s not just about learning syntax — it’s about building the ability to solve real problems with code. If you're learning Python or starting your data journey, consistency and practice make all the difference. Would love your feedback or suggestions on improving further 👇 #Python #DataAnalytics #Programming #LearningJourney #GitHub #DataAnalyst #Coding #CareerGrowth #NAVTACC

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

Widely used across the technology landscape, Python is one of the most in-demand programming languages, known for its relatively simple syntax and well-supported community.  The next offering of Python I, one of WatSPEED's most popular courses, begins on May 4, 2026. This course will help you develop a valuable skill set that can be applied in fields such as web development, data science, artificial intelligence, machine learning, automation, and more. Python I requires no previous coding experience and you can learn at your own pace.  What will you learn:  - Coding using basic syntax in Python   - Solving introductory programming problems in Python  - Debugging code and handle errors  - Documenting your code  Early bird discount: Register for Python I by April 6 to save 10%. Use the code EARLY10 at checkout. https://lnkd.in/e_rADrEu #Python #Coding

Advanced Python 2026 (Part 8) is Live: Working With APIs This is where Python connects to the real world. In Part 8 of the Advanced Python 2026 series, we explore how to work with APIs—a critical skill for building modern, data-driven applications. Key highlights: • What APIs are and why they matter • Sending requests and receiving responses • Working with JSON data • Building applications that use real-time information From weather apps to AI integrations, APIs power today’s software. If you want your Python programs to interact with real systems and live data, this is your next step. Read Part 8 here: https://lnkd.in/edGMZKab #Python #Programming #JMSM #KNKA #SoftwareDevelopment #APIs #Coding #Developers #TechEducation #Data #Python2026

#Ep 3 Building Strong #Python Foundations – #Course Update 🚀 Excited to share that I’ve added some core building blocks to my Python course! 👇 🔹 Python Operators Arithmetic, Comparison, Assignment Bitwise & Logical operators 👉 Writing cleaner and more efficient code 🔹 Loops in Python for loop & while loop Nested loops & control statements 👉 Automating repetitive tasks like a pro 🔹 Python History (Feature-wise) Evolution from basics to modern Python Understanding how features like async/await, type hints, and performance improvements came in 👨💻 Inspired by the journey of Guido van Rossum — from a simple scripting language to powering AI, web apps, and automation today. 🚀 Why this matters? Strong fundamentals = Better problem solving + Faster development github link : https://lnkd.in/gm7xmwmP #Python #Programming #Coding #SoftwareDevelopment #LearnToCode #PythonCourse #Tech #Developers

Advanced Python 2026 (Part 7) is Live: Virtual Environments As your Python projects grow, managing dependencies becomes critical. In Part 7 of the Advanced Python 2026 series, we explore virtual environments—a must-have skill for every serious developer. Key highlights: • Isolating project dependencies • Avoiding version conflicts • Creating clean, reproducible setups • Managing libraries professionally This is how developers ensure their code runs consistently across different systems. If you want to build reliable, production-ready applications, this is a step you can’t skip. Read Part 7 here: https://lnkd.in/ewjUtv-7 #Python #Programming #JMSM #KNKA #SoftwareDevelopment #Developers #TechEducation #CleanCode #DevOps #Python2026