Juggling multiple programming languages as a CS undergrad

I have carefully built and specialized my blog/website to help learners master DSA concepts , with detailed explanations and well-commented code in both Python and Java. 💡 From recursion to dynamic programming, every topic is explained step-by-step to make complex ideas easy to grasp. If you’re preparing for coding interviews or just want to strengthen your fundamentals, 👉 Check out this resource: Python: https://lnkd.in/ggqpdVr Java: https://lnkd.in/g5RNu-52 Maybe I missed something, Let me know what you think or which topic I should cover next! 💬 #Learn

💻 Day 30 of #100DaysLearningChallenge by Saurabh Shukla Sir 📚 Learning Topic: Integrating Python with C for Speed 🧠 What I Learned Today: Today, I explored how to call fast, compiled C code from Python — combining Python simplicity with C’s performance. I practiced two practical methods: subprocess → Running compiled C executables and capturing their output in Python 💡 Concepts Covered: 👉 Why and when to mix Python + C (heavy computation, performance-critical tasks) 👉 Writing & compiling a C function 👉 Calling C functions in Python using ctypes 👉 Running C executables using subprocess and parsing results ⚙️ Key Takeaways: ✅ Keep C functions simple — use basic types (int, double, pointers) ✅ subprocess.run() works great for integrating existing C tools ✅ Make sure Python & C compiler architectures match (32-bit/64-bit) ✅ Moving performance-heavy logic to C can significantly boost speed 💡 Insight: Bridging Python with C lets you prototype fast and run faster — achieving the best balance between developer productivity and execution performance. GitHub: https://lnkd.in/gykf7b3F 🔥 Hashtags: #python #clang #cprogramming #pythonwithc #ctypes #subprocess #highperformancecomputing #codeoptimization #backenddevelopment #systemsprogramming #learninpublic #developerscommunity #webdevelopment #codingjourney #techskills #100DaysLearningChallenge #Day30Done

✨ Day 16 – #100DaysLearningChallenge 🚀 Today was all about exploring the power of interoperability between Python and C — learning how to run Python code using C and execute commands seamlessly across both languages. ⚙️🐍💡 This deep dive helped me understand how Python can be embedded or extended with C to improve performance and enable low-level system interactions. 🔹 What I Learned Today: How to run Python scripts from C using the Python/C API (Python.h). Learned about the Py_Initialize(), PyRun_SimpleString(), and Py_Finalize() functions. Understood how C programs can execute Python commands directly. Explored how this integration is used in real-world applications for performance-critical tasks. 🔹 Key Takeaways: Python’s flexibility allows it to be combined with C for speed and control. Such integrations are common in machine learning frameworks, compilers, and backend systems. It’s a perfect example of how different languages can work together for efficiency. 🔹 Reflection: It was fascinating to see how Python and C can communicate so seamlessly — combining Python’s simplicity with C’s power opens up a world of possibilities. 🌍 This exploration gave me deeper insights into how interpreters and bindings work under the hood. 🔥 Day 16 complete — another step towards becoming a well-rounded developer with multi-language understanding! #100DaysLearningChallenge #Python #CLanguage #Integration #Programming #LearningEveryday #DeveloperJourney #BackendDevelopment

🔥 Day 31 of #100DaysLearningChallenge 🧠 Topic: Calling C Code from Python 🚀 Using C Libraries in Python This concept allows you to call C functions directly from Python — combining C’s high performance with Python’s simplicity. 📘 The Concept Instead of running C code separately, you can: ✅ Write functions in C (a faster language) ✅ Compile them into a shared library (.so file) ✅ Use those C functions directly in Python — just like normal Python functions! ⚡ Why Do This? C executes code much faster than Python You can write performance-heavy logic in C Then use it easily inside Python for best efficiency 🔧 How It Works (Step-by-Step): 1️⃣ Write C Functions (example: LCM, factorial, prime check) 2️⃣ Compile them into a shared library using gcc 3️⃣ Use Python’s ctypes module to load the .so file 4️⃣ Call C functions as if they were Python functions 💡 Key Takeaways: No need for main() in the C file (it’s a library, not a full program) Use ctypes.CDLL() to load and call the shared library C functions become callable Python objects Achieve C’s speed with Python’s flexibility 💻 Code Link:https://lnkd.in/d_JRXRJ6) 🙏 Thank you, Saurabh Shukla Sir, for making such advanced concepts easy to understand! #100DaysLearningChallenge #Python #CProgramming #ctypes #Performance #CodingJourney #Learning #Programming #CodeIntegration #PythonDevelopers #CwithPython

🚀 Exciting News! I’ve just launched a YouTube playlist designed to help beginners learn Python programming — from understanding what Python is to how it actually works behind the scenes. 🐍💻 Python is one of the most beginner-friendly yet powerful languages used in web development, data science, and automation. My goal with this playlist is to make Python simple, practical, and fun to learn! 🎯 What you’ll learn: Why Python was introduced How computers understand Python code Comparison with other languages like C++ and Java What makes Python a high-level language Real-world examples and easy explanations 👉 Watch the playlist here: https://lnkd.in/dw7CZC7x I’d love your feedback! If you find it helpful, feel free to share it with others who are just starting their coding journey. 💪 #Python #Programming #CodingForBeginners #LearnPython #MuhammadHamzaAli #YouTubeLearning

🔥 Day 30 of #100DaysLearningChallenge 🧠 Topic: Run C Code from Python 📘 Main Idea: You can run C programs directly from Python to combine C’s speed with Python’s simplicity. ⚡ Why Do This? ✅ C language → Very fast execution ✅ Python → Easy to write but slower ✅ Combine both → Get speed + simplicity 🧩 How It Works (Simple Steps): 1️⃣ Write a normal C program (like printing “Hello”) 2️⃣ Compile it using GCC → Creates an executable file 3️⃣ In Python, use the subprocess module 4️⃣ Call the C executable using subprocess.run() 💬 Passing Data Between Python & C: In C: main() can take arguments (argc, argv) In Python: Pass inputs as a list to subprocess.run() These become arguments for the C program 💡 Key Takeaway: The subprocess module allows Python to run terminal commands, including compiled C programs. You can mix Python’s flexibility with C’s performance — a powerful combo! 💪 💻 Code Link: 🔗https://lnkd.in/dKRHHNdb) 🙏 Thank you Saurabh Shukla Sir for your constant guidance and support throughout this learning journey! #100DaysLearningChallenge #Day30 #C #Python #Programming

🚀 Quick Experiment: Comparing Lines of Code Across Languages I recently did a small personal experiment to compare how many lines of code (LOC) are typically required to implement the same task in Python, Java, and C++. 📌 Assumption: Each new statement appears on its own line — no one-liners or compressed logic. Here are the results: 🐍 Python: 11 LOC ☕ Java: 36 LOC 💻 C++: 44 LOC Key Takeaways Python is very concise for implementing tasks. Java requires more structure and verbosity. C++ is the most verbose among the three. 💡 Note: This experiment considers Lines of Code only, not execution speed or efficiency. I’d love to hear your thoughts: Do you value code compactness over verbosity for readability and maintenance? Hashtags #Programming #Python #Java #CPlusPlus #CodeEfficiency #SoftwareDevelopment #CodingExperiment #DeveloperInsights #TechLearning #ProgrammingTips

Understanding Pass by Value vs. Pass by Reference Have you ever wondered how data is passed in programming? Let's explore two fundamental ways: → Pass by Value: This means a copy of the value is made. → When you pass a variable, you're sending a duplicate of its value. Changes in the function do not affect the original variable. → Commonly used in languages like C and Java for primitive types. → Pass by Reference: Instead of a copy, you pass a reference to the actual variable. → This means changes made in the function will reflect on the original variable. → Frequently seen with objects in languages like Java and Python. How do you ensure you're using the correct method in your code? Leave your thoughts or experiences in the comments! #systemdesign #coding #interviewtips #systemdesign #coding #interviewtips

A comment I saw recently, along with a debate among my classmates, highlighted a key misunderstanding beginner developers often have: "If a programmer manages Python, why do they still think C++ is so much harder?" The most honest and relatable response sums up the C++ pain perfectly: "Because the syntax error annoys you when you are on 110 lines, the compiler shows an error on line 6, and after an hour of debugging you find out it was just one extra or missing bracket or semicolon." The difficulty isn't about understanding the logic that transfers between languages. It's about how the language is processed. Python (Interpreted): It runs code line-by-line, uses simple indentation for structure, and offers quick feedback. C++ (Compiled): It demands that your entire program be syntactically perfect before it can run. Moving from Python to C++ isn't just swapping keywords; it's transitioning from a friendly environment to a rigorous one. #programming #softwaredevelopment #python #cplusplus #codinglife #students #TechEd