601.5K
SEWhich one will you try today?!?
.
If you want 400 more Logic Pro tips check out my ebook + video guide linked in my bio or at www.seids.co/links
.
#musicproducer #musicproduction #logicpro #femaleproducer #logicprox
@seids_
#Lisp Programming Basics
Regardez vidéos Reels sur Lisp Programming Basics de personnes du monde entier.
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Reels en Tendance
(12)
189.1K
CYLearn Linux bc it is super useful and fun!
@cyb3rmaddy
52.4K
COAny more tips for me in learning embeddings?
By the way how do you learn LLM?
Have been non-stop learning since the day I started to teach myself coding 🌹😍
#selftaught #softwareengineer #coding #ai #llm #tech #machinelearning #programmers
@codersheary
259.5K
LODo you know how to write a loop in a single line using list comprehension in python.
#list #pythoncode #codelikedeveloper #logic #programming
@logic_overflow
1.1M
ZUNever modify a list while iterating it but what ACTUALLY happens?
What does this print? 😱
Drop your answer in the comments.
This one has caused real production bugs share yours 👇
#PythonTrick #PythonQuiz #LearnPython #CodePuzzle #DeveloperLife
@zuhrah.tech
3.3M
MUWhat’s the output🤔⬇️
#coding #programming #tech #python
@muniker.codes
43.5K
LILet’s see if I can cover the ML pipeline in 60 seconds ⏰😅
Machine learning isn’t just training a model. A production ML lifecycle typically looks like this:
1️⃣ Define the problem & objective
2️⃣ Collect and (if needed) label data
3️⃣ Split into train / validation / test sets
4️⃣ Data preprocessing & feature engineering
5️⃣ Train the model (forward pass + backpropagation in deep learning)
6️⃣ Evaluate on held-out data to measure generalization
7️⃣ Hyperparameter tuning (learning rate, architecture, etc.)
8️⃣ Final testing before release
9️⃣ Deploy (batch inference or real-time serving behind an API)
🔟 Monitor for data drift, concept drift, latency, cost, and reliability
1️⃣1️⃣ Retrain when performance degrades
Training updates weights.
Evaluation measures performance.
Deployment serves predictions.
Monitoring keeps the system healthy.
It’s not linear. It’s a loop.
And once you move beyond a single experiment, that loop becomes a systems problem.
At scale, the challenge isn’t just modeling … it’s building reliable, scalable infrastructure that supports the entire lifecycle.
Curious if this type of content is helpful! Lmk in the comments & as always Happy Building! 🤍
@lindavivah
174.7K
BIIf you want to start learning algorithms from zero,
comment “algorithm” and I’ll send you the document I prepared
If I started coding from scratch in 2026, I wouldn’t choose a programming language first.
Because the most important thing in programming is logic, not the language.
In this video, I talk about:
What algorithmic thinking really means
How to break problems into small, clear steps
A simple real-life algorithm example
Free resources to learn algorithms in 2026
Programming languages change.
Logic doesn’t.
If you’re:
New to programming
Confused about where to start
Focused on building strong fundamentals
this video is for you.
.
#algorithms#discover #scratchsoftware #softwarengineer
@biseylergelistiriyorum
635.1K
ACWhen asked how long it takes to learn C++, Bjarne Stroustrup, the creator of the language, explained that it depends on the learner. For someone who already knows programming, picking up C++ can be fairly quick. However, for those new to coding and unfamiliar with other languages, it might take months or even years to master.
How long does it really take to master C++?
Credit video by: Udacity(Youtube)
FOLLOW @activeprogrammer to learn something new every day!
#learncplusplus
#codingjourney
#cppdeveloper
#programmingtips
#codingcommunity
@activeprogrammer
3.2M
GI& even better it comes in project tutorial form!! comment “code” and I’ll send the link 😎⭐️
1. Build a cafe finder with JavaScript and Google Maps Platform
2. Create a Voice Virtual Assistant with Eleven Labs
3. Detect “not hot dogs” with hugging face
API
#cs #coding #learntocode #csprojects #codingtiktok #fyp #codedex
@girlearningtocode
34.1K
COPython List Methods Explained | Quick & Easy Guide 🐍💻
Master the most commonly used Python list methods in just a few seconds! 🚀
This short video breaks down essential list operations like adding, removing, sorting, and modifying elements—perfect for beginners and quick revision.
✨ What you’ll learn:
➕ append() – Add elements
🧹 clear() – Remove all items
📋 copy() – Duplicate lists safely
🔢 count() – Count occurrences
➕ extend() – Merge iterables
🔍 index() – Find positions
🧩 insert() – Add at specific index
❌ pop() & remove() – Delete elements
🔁 reverse() – Reverse order
📊 sort() – Sort lists efficiently
🎯 Ideal for Python beginners, students, developers, and anyone hashtags learning data structures.
💡 Save this video for quick reference and follow for more Python tips!
🔑 Keywords (SEO friendly):
Python list methods, Python tutorial, Python basics, learn Python, Python for beginners, Python programming, list operations, data structures in Python, coding shorts
🔥 Hashtags:
#Python #PythonProgramming #LearnPython #PythonBasics
#Coding
@codewithprashantt
758.9K
ERPython beginners, this guide will save you hours of confusion!
#python #coding #code #errormakesclever
@errormakesclever
✨ Guide de Découverte #Lisp Programming Basics
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