Niaz Chowdhury, PhD’s Post

ops-code just hit 50 downloads on the VS Code marketplace—that is pretty cool! Version 0.1.0 introduces tools: users can create their own python scripts that will run automatically after analysis, consuming the fem-results and producing tabular output displayed in the viewer. See the demo at https://lnkd.in/euRXSNE2 #OpenSees #StructuralEngineering #VSCode #Python #AI #3DVisualization #CivilEngineering

🔁 Exploring Sorting Algorithms in Python Today I practiced two fundamental sorting techniques: ✅ Bubble Sort ✅ Selection Sort 💡 Key Learnings: * Bubble Sort repeatedly swaps adjacent elements to push larger elements to the end * Selection Sort selects the minimum element and places it in the correct position * Understanding time complexity becomes clearer when you count operations manually #Python #DataStructures #Algorithms #CodingJourney #100DaysOfCode #LearningInPublic

🐍 Day 116 — Cross Validation Day 116 of #python365ai 🔁 Cross-validation splits data multiple times. Example: from sklearn.model_selection import cross_val_score 📌 Why this matters: Provides more reliable performance estimates. 📘 Practice task: Run cross-validation on a model. #python365ai #CrossValidation #MachineLearning #Python

🐍 Day 103 — Decision Trees (Implementation) Day 103 of #python365ai 🧑💻 Example: from sklearn.tree import DecisionTreeClassifier model = DecisionTreeClassifier() model.fit(X, y) 📌 Why this matters: Decision Trees handle both classification and regression tasks. 📘 Practice task: Train a simple decision tree model. #python365ai #DecisionTree #MachineLearning #Python

Hot take: the overhead to learn more abstractions is only useful when the value is 10x more than the investment of learning time. That's why simple abstractions that get out of the way are better. Senior engineers figured this out already and that's why they keep abandoning agent frameworks for while loops in plain Python. They don't want a framework. They want primitives. #AgentFrameworks #LLM #Python

🚀 Day 6/30 – Python Challenge Exploring loops in Python today! 🐍 🔹 Key Concepts: * for loop using range() * while loop execution * Iteration and repetition in programs 💻 Mini Task: Printed numbers from 1 to 5 using both for loop and while loop to understand their working. 🎯 Learning Outcome: Learned how loops help automate repetitive tasks and make code more efficient. Consistency + practice = improvement 📈 #Python #CodingChallenge #LearningJourney #AI #StudentDeveloper #Day6

#MachineLearning #Python #AI #DataScience #Pickle After building your AI model, the training phase can take a long time, and you may close VSCode. It is not logical to train the model again every time you run your code. This is where Python’s pickle module becomes invaluable. It allows us to serialize (save) and deserialize (load) Python objects, including our AI model. With model.pickle, we don’t need to train the model again next time — we just load it and use it directly.

Python Series — Day 3 🧠 Let’s level it up a bit 👇 What will be the output of this code? def modify_list(lst): lst.append(4) a = [1, 2, 3] modify_list(a) print(a) Options: A. [1, 2, 3] B. [1, 2, 3, 4] C. Error D. None Think carefully 👀 (Hint: It’s not about functions… it’s about how Python handles data) Drop your answer 👇 Answer tomorrow 🚀 #Python #CodingChallenge #LearningInPublic #DataEngineering #Tech

🎥 Project Explanation Video Here is my explanation for Iris Flower Classification project using Machine Learning. 🔗 GitHub Link: https://lnkd.in/gKwJNFrr #DataScience #MachineLearning #Python #CodeAlpha

Day 37 / #120DaysOfCode – LeetCode Challenge ✅ Problem Solved: • Search a 2D Matrix 💻 Language: Python 📚 Key Learnings: • Applied Binary Search on a 2D matrix • Learned how to treat matrix as a flattened sorted array • Practiced converting 1D index → 2D index (row, col) • Improved understanding of search space reduction • Strengthened logarithmic time complexity (O(log n)) thinking Better logic → Faster execution 🚀 🔗 LeetCode Profile: https://lnkd.in/gbeMKcv5 #LeetCode #Python #DSA #BinarySearch #Algorithms #CodingJourney #Consistency #120DaysOfCode