#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.

AI video editing with Python 🐍 is here 🎬 https://lnkd.in/ed3Nqf-t This tutorial shows how to automatically turn long videos into short, captioned clips in a few lines of code Simple setup. Real results. ⚡ #Python #AI #VideoEditing #Automation

Learn in Public — Day 15 Today I studied Selection Sort and implemented it in Python. 🔹 Key Idea: Selection Sort repeatedly finds the minimum element from the unsorted part of the array and places it at the correct position in the sorted part. 🔹 How it works: 1️⃣ Start from the first element 2️⃣ Find the smallest element in the remaining array 3️⃣ Swap it with the current position 4️⃣ Repeat for the rest of the array 🔹 Complexity: Time Complexity: O(n²) Space Complexity: O(1) (in-place sorting) Even though Selection Sort is not efficient for large datasets, it’s a great algorithm for understanding how sorting works internally. Every small step builds the foundation for mastering algorithms. #LearnInPublic #100DaysOfCode #Python #Algorithms #DataStructures

Day 2 of my #100daysoftraining Journey Today's focus on some python fundamentals by practicing through understand the code Here we use ✓ inputs and outputs ✓ variables ✓ Data types ✓ type casting these concepts not just learning, to understand how to use, why to use and where to use code #Codegnan #consistency #python #100daysoftraining #problemsolving #CodingJourney

Tried learning 𝒓𝒆𝒄𝒖𝒓𝒔𝒊𝒐𝒏 in Python today 🤓 At first, this line was confusing: 𝘀[-𝟭] + 𝗿𝗲𝘃𝗲𝗿𝘀𝗲_𝘀𝘁𝗿(𝘀[:-𝟭]) Step by step break kiya aur finally it clicked 💡 Basically, last character is picked and combined with the reversed remaining string. Still practicing, but this made me realize coding isn’t just about syntax — it’s about building the right way of thinking 🧠 How do you usually approach recursion problems? Any tips for beginners? 💡 #Python #Recursion #CodingJourney #LearningInPublic #WomenTech

Day 4 / 100 🚀 Today I learned a small detail that makes a big difference in Python: nums[:] (in-place slicing) At first, I thought both were the same: nums = new_list nums[:] = new_list But they are NOT the same. 💡 Key difference: • nums = new_list → creates a new reference • nums[:] = new_list → updates the same list in-place Why it matters: In problems like LeetCode, we are required to modify the original array, not create a new one. This small syntax helps us follow constraints correctly. 🔑 Lesson: Sometimes, tiny details decide whether your solution is correct or not. #100DaysOfCode #Python #DSA #Learning #CodingInterview

🌊 FlowyML v1.9.0 is here! Full-stack GenAI observability, 29+ eval scorers, auto step discovery, first-class prompt versioning — and it's all pure Python. If you're building ML pipelines, give it a spin. This is what MLOps should feel like. Check it out 👇 pip install flowyml #MLOps #Python #OpenSource #GenAI

One mistake that makes your code slower (and most beginners don’t notice): Using lists for lookups. There’s a faster, cleaner way — and it’s built into Python. Watch this. #Python #ProgrammingTips #DeveloperGrowth #CodingJourney #TechCareers #PythonDeveloper

💻 Day 4 of #100DaysOfCode Today I learned about Tuples, Sets, and Dictionaries in Python 🐍 What I covered: - Tuples and their properties - Sets and how they store unique values - Dictionaries (key-value pairs) - Difference between Lists, Tuples, and Sets I also practiced small programs to understand how each data structure works in real scenarios. This helped me understand where to use each one and how data can be stored in different ways. Learning step by step and improving daily 💪 See you all tomorrow with new learnings and more progress 🚀 #Python #100DaysOfCode #CodingJourney #Learning #Consistency

Can you write code exactly as you think it? In C++/Java, I often pause: “Wait… should this be int or double? How about the array type? 😅 In Python? Almost everything I think, I can write directly, no mental translation needed. That’s why Python feels like a language of thought, letting you focus on solving problems instead of memorizing rules. #cs_internship #Machine_learning #step1 https://lnkd.in/eFnKBJGj