Python for loops are one of the most important concepts to master In today of this beginner-friendly Python series, you’ll learn: • What a for loop is • How Python iterates directly over items • Looping through lists, strings, and ranges • How range(start, stop, step) works • When to use break, continue, and for-else If you’re starting with Python or revising fundamentals, this slide is for you 📌 👉 Next: While Loops Follow for simple, practical Python content. #Python #LearnPython #PythonBeginners #CodingBasics #ForLoop #Programming

I just published a FastAPI Crash Course on my YouTube channel In this video, I covered how to build high-performance APIs quickly and efficiently using FastAPI - from basics to practical implementation. If you want to build modern backend applications with Python, this crash course will help you get started fast. https://lnkd.in/duXmCwtt #FastAPI #Python #BackendDevelopment #APIs #WebDevelopment

🚀 Day 19/50 – LeetCode Challenge (Python) Continuing the challenge with an array problem focused on in-place marking and efficient space usage. 📌 Problem: Find All Numbers Disappeared in an Array (Easy) 🧠 Approach: Mark visited indices in the array to track missing numbers without extra space ✨ Key Learning: In-place techniques can replace additional data structures while keeping complexity optimal Staying consistent and learning new patterns. #LeetCode #Python #DSA #Consistency #LearningInPublic

💡 A small Python lesson from LeetCode While solving LeetCode #8 (String to Integer – atoi), I wrote two solutions that were both O(n) and logically identical. But one was faster. The reason? Not the algorithm but the way the code was written. Using elif instead of multiple if checks and avoiding extra branching made a noticeable difference. In Python, fewer condition checks = fewer instructions = better runtime. Nice reminder that Big-O isn’t everything, especially in interpreted languages. Learning moments like these are why I enjoy solving problems 😄 #Python #LeetCode #LearningInPublic #SoftwareEngineering #ProblemSolving

Stop using for loops to process data in Python. Do this instead. Day 6/47: Calculating Batting Strike Rates! 🏏 Processing millions of rows with a standard Python loop will freeze your system. The fix? Vectorization. Instead of looping row-by-row, NumPy aligns arrays in memory, executing math (runs / balls) * 100 instantly in parallel. Standard Lists = Slow & Iterative. NumPy Arrays = C-Speed & Parallel. 🔊 Watch my 43-second animated Masterclass to see the data flow! Ever crashed a notebook with a bad loop? Let me know! 👇 #DataScience #NumPy #Python #MachineLearning #CodingJourney #BSCIT

🚀 Wrote a Hugging Face BPE Tokenizer visualizer library in python! Tokenization is the heart of modern LLMs, but looking at raw lists of integer IDs isn't exactly intuitive. That's why I created a lightweight Python library to help you visually inspect how Byte-Pair Encoding tokenizer break down your text. ✅ Easy to use ✅ Integrates seamlessly with Hugging Face tokenizers ✅ Perfect for debugging, model building, or just learning how BPE works under the hood! 📦 Try it out: pip install hf-tokenizer-visualizer 🔗 Github and Package links are in the comments #huggingface #tokenizer #deeplearning #python

🗓️Day 200 of 365 Days Hit the 200-day mark today! 🚀 Focused on learning and revising Core Python concepts in depth. Covered: 🔹 Data types and variables 🔹 Control flow (if-else, loops) 🔹 Functions and scope 🔹 Lists, tuples, dictionaries, sets 🔹 Basic problem-solving practice Reaching Day 200 feels motivating. Staying consistent and building strong foundations step by step. Onwards to more learning 🤖💻 #365DaysOfCode #Day200 #Python #CorePython #ProgrammingJourney #Consistency #KeepLearning

"Python is the easiest language to learn!" The tutorial: print("Hello World") ✅ Week 1: Beautiful. Clean. Simple. Week 2: Indentation error. Line 47. Week 3: Mixed tabs and spaces. Chaos. Week 4: Questioning every career decision. Nobody shows you THAT in the beginner tutorial. 😅 Python IS powerful. But "easy" is doing a lot of heavy lifting in that sentence. What was your Python breaking point? #Python #Coding #ProgrammerHumor #DevLife #CodingProblems #LearnToCode

📌 Nested Loops in Python Building on my loop concepts, I practiced Nested Loops in Python. A nested loop means placing one loop inside another. The inner loop executes completely for every single iteration of the outer loop. In this example, I used two lists: • One containing properties • One containing fruits The program combines each property with every fruit, showing how nested loops help generate all possible pair combinations. Nested loops are useful when: • Working with multiple lists • Creating combinations • Handling rows and columns • Solving pattern-based problems Step by step, improving my logical thinking and Python fundamentals. 🚀 #Python #Programming #CodingJourney #LearningPython #DataAnalytics