AI Generates Code, But Can't Understand Business Needs

Most ML engineers try to improve models… But often the real bottleneck is slow Python code. Here are 6 Python performance tricks I use to make ML pipelines faster without touching the model. Small code improvements = big productivity gains. Which one do you already use? 👇 #Python #MachineLearning #DataScience #AI #MLOps

⌛ This was 8 years ago, and if you try Python in Excel it feels like a feature they are still "considering." The real way to integrate Python and Excel is to move your Excel work to Python environments -- NOT jam python functions into your workbook. Python environments can handle larger datasets, faster processing, and more sophisticated AI. This is what we are building at Mito AI. The Excel-user front end for Python/AI workflows 🚀 #AI #Excel #Python #Data #DataScience

"95% of AI agents fails in production, and 95% of AI agents are built with Python. Questions?" Sorry guys, Python is simply the wrong tool. Hyperlambda (which is a slot language) is 20x faster than Python, with Fast API, and 17 times faster than Flask. Building as much as an MVP in Python is madness. Because once you're done with your MVP, you want to reuse the code you created. With Python you simply can't ... #Python #AI_agents #AI #agents #Hyperlambda

Python Python is not just for machine learning. It’s a productivity weapon for analysts. What I actually use Python for: Cleaning messy CSV files Automating reports Data validation Exploratory analysis If Excel feels slow, Python is your upgrade. #Python #DataAnalysis #AnalyticsTools

Built a complete Exploratory Data Analysis (EDA) model in VS Code using Python. Visualized data distributions, relationships, and correlations to extract meaningful insights before modeling. Small steps, strong foundations 💪 #EDA #Python #DataAnalytics #Matplotlib #Seaborn #VSCode #Learning #incodevision

Practicing Python with an interview mindset 💻 Working on: ✔️ Lists, dictionaries & sets ✔️ Pandas operations ✔️ Writing clean, readable logic The goal isn’t just to solve problems—but to explain the solution clearly. #PythonPractice #InterviewPrep #DataAnalyst #Coding

Many people think Python is about writing models. In GenAI systems, Python plays a different role. It controls: • decision flow • tool orchestration • state and memory • how models are actually used That’s why you don’t need to master all of Python before starting with GenAI. You need enough Python to steer the system — not to build the model itself. #GenAI #Python #AIAgents #AIEngineering #ArtificialIntelligence

Hello Python folks Quick brain-teaser for you: What does this print — and why? t = ([1, 2],) t[0] += [3] print(t) Did the tuple mutate? Or did Python just trick your mental model? Most people answer quickly. Very few explain it correctly. If you can explain this in terms of identity, mutation vs rebinding, you truly understand Python. Full breakdown here including👇 - Shallow Vs Deep Copy - Default Mutable Argument Trap https://lnkd.in/e_v6nNej #python #pythoninterview #softwaredevelopment

Python is often misunderstood in GenAI. Many assume it’s where “intelligence” lives. In reality, Python plays a very different role. It controls flow, orchestrates tools, manages state, and handles failures — the things that decide whether a GenAI system works reliably in real use. This carousel breaks down what Python actually does in GenAI systems, and why misunderstanding its role leads to fragile agents and unpredictable behavior. #GenAI #Python #AIEngineering #MachineLearning #ArtificialIntelligence

Small Models, Big Reveal 😳 New research shows small language models can outperform massive LLMs on real tasks. They’re cheaper, faster, easy to fine-tune, and perfect for structured outputs like JSON or Python.