Tag: code
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How to Create Production-Ready Code with Claude Code
How to Create Production-Ready Code with Claude Code Learn how to write robust code with coding agents. The post How to Create Production-Ready Code with Claude Code appeared first on Towards Data Science. Eivind Kjosbakken Go to original source
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Code Less, Ship Faster: Building APIs with FastAPI
Code Less, Ship Faster: Building APIs with FastAPI Master path operations, Pydantic models, dependency injection, and automatic documentation. The post Code Less, Ship Faster: Building APIs with FastAPI appeared first on Towards Data Science. Thomas Reid Go to original source
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Build Effective Internal Tooling with Claude Code
Build Effective Internal Tooling with Claude Code Use Claude Code to quickly build completely personalized applications The post Build Effective Internal Tooling with Claude Code appeared first on Towards Data Science. Eivind Kjosbakken Go to original source
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How to Personalize Claude Code
How to Personalize Claude Code Learn how to get more out of Claude code by giving it access to more information. The post How to Personalize Claude Code appeared first on Towards Data Science. Eivind Kjosbakken Go to original source
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How to Work Effectively with Frontend and Backend Code
How to Work Effectively with Frontend and Backend Code Learn how to be an effective full-stack engineer with Claude Code The post How to Work Effectively with Frontend and Backend Code appeared first on Towards Data Science. Eivind Kjosbakken Go to original source
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Plan–Code–Execute: Designing Agents That Create Their Own Tools
Plan–Code–Execute: Designing Agents That Create Their Own Tools The case against pre-built tools in Agentic Architectures The post Plan–Code–Execute: Designing Agents That Create Their Own Tools appeared first on Towards Data Science. Partha Sarkar Go to original source
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How to Perform Large Code Refactors in Cursor
How to Perform Large Code Refactors in Cursor Learn how to perform code refactoring with LLMs The post How to Perform Large Code Refactors in Cursor appeared first on Towards Data Science. Eivind Kjosbakken Go to original source
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Think Your Python Code Is Slow? Stop Guessing and Start Measuring
Think Your Python Code Is Slow? Stop Guessing and Start Measuring A hands-on tour of using cProfile + SnakeViz to find (and fix) the “hot” paths in your code. The post Think Your Python Code Is Slow? Stop Guessing and Start Measuring appeared first on Towards Data Science. Thomas Reid Go to original source
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Everyone Can ‘Code’ with AI Now, According to Google—But Tech Workers Aren’t Fully Convinced
Everyone Can ‘Code’ with AI Now, According to Google—But Tech Workers Aren’t Fully Convinced Have any data scientists here worked with AI for coding? Do you agree with experts’ skepticism in using it for high-level tasks? submitted by /u/disforwork [link] [comments] /u/disforwork Go to original source
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Organizing Code, Experiments, and Research for Kaggle Competitions
Organizing Code, Experiments, and Research for Kaggle Competitions Lessons and tips learned while earning a Kaggle Competition Medal The post Organizing Code, Experiments, and Research for Kaggle Competitions appeared first on Towards Data Science. Ibrahim Habib Go to original source
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How We Reduced LLM Costs by 90% with 5 Lines of Code
How We Reduced LLM Costs by 90% with 5 Lines of Code When clean code hides inefficiencies: what we learned from fixing a few lines of code and saving 90% in LLM cost. The post How We Reduced LLM Costs by 90% with 5 Lines of Code appeared first on Towards Data Science. Uri Peled Go to…
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Does the Code Work or Not?
Does the Code Work or Not? A common misconception about the working state of code in data, AI or software engineering fields. The post Does the Code Work or Not? appeared first on Towards Data Science. Marina Tosic Go to original source
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Beyond Code Generation: Continuously Evolve Text with LLMs
Beyond Code Generation: Continuously Evolve Text with LLMs Long-running content evolution and an introduction to result analysis The post Beyond Code Generation: Continuously Evolve Text with LLMs appeared first on Towards Data Science. Julian Mendel Go to original source
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Code Agents: The Future of Agentic AI
Code Agents: The Future of Agentic AI HuggingFace smolagents framework in action The post Code Agents: The Future of Agentic AI appeared first on Towards Data Science. Mariya Mansurova Go to original source
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The Automation Trap: Why Low-Code AI Models Fail When You Scale
The Automation Trap: Why Low-Code AI Models Fail When You Scale In the beginning, building Machine Learning models was a skill only data scientists with knowledge of Python could master. However, low-code AI platforms have made things much easier now. Anyone can now directly make a model, link it to data, and publish it as…
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Google’s AlphaEvolve Is Evolving New Algorithms — And It Could Be a Game Changer
Google’s AlphaEvolve Is Evolving New Algorithms — And It Could Be a Game Changer AlphaEvolve imagined as a genetic algorithm coupled to a large language model. Picture created by the author using various tools including Dall-E3 via ChatGPT. Large Language Models have undeniably revolutionized how many of us approach coding, but they’re often more like a super-powered…
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How Would I Learn to Code with ChatGPT if I Had to Start Again
How Would I Learn to Code with ChatGPT if I Had to Start Again Coding has been a part of my life since I was 10. From modifying HTML & CSS for my Friendster profile during the simple internet days to exploring SQL injections for the thrill, building a three-legged robot for fun, and lately…
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AI Agents Processing Time Series and Large Dataframes
AI Agents Processing Time Series and Large Dataframes Intro Agents are AI systems, powered by LLMs, that can reason about their objectives and take actions to achieve a final goal. They are designed not just to respond to queries, but to orchestrate a sequence of operations, including processing data (i.e. dataframes and time series). This…
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Beyond the Code: Unconventional Lessons from Empathetic Interviewing
Beyond the Code: Unconventional Lessons from Empathetic Interviewing Recently, I’ve been interviewing Computer Science students applying for data science and engineering internships with a 4-day turnaround from CV vetting to final decisions. With a small local office of 10 and no in-house HR, hiring managers handle the entire process. This article reflects on the lessons…
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Data Science: From School to Work, Part III
Data Science: From School to Work, Part III Introduction Writing code is about solving problems, but not every problem is predictable. In the real world, your software will encounter unexpected situations: missing files, invalid user inputs, network timeouts, or even hardware failures. This is why handling errors isn’t just a nice-to-have; it’s a critical part…
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A Clear Intro to MCP (Model Context Protocol) with Code Examples
A Clear Intro to MCP (Model Context Protocol) with Code Examples As the race to move AI agents from prototype to production heats up, the need for a standardized way for agents to call tools across different providers is pressing. This transition to a standardized approach to agent tool calling is similar to what we…
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Data Science: From School to Work, Part II
Data Science: From School to Work, Part II In my previous article, I highlighted the importance of effective project management in Python development. Now, let’s shift our focus to the code itself and explore how to write clean, maintainable code — an essential practice in professional and collaborative environments. Readability & Maintainability: Well-structured code is easier to…
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How to Use an LLM-Powered Boilerplate for Building Your Own Node.js API
How to Use an LLM-Powered Boilerplate for Building Your Own Node.js API For a long time, one of the common ways to start new Node.js projects was using boilerplate templates. These templates help developers reuse familiar code structures and implement standard features, such as access to cloud file storage. With the latest developments in LLM,…
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Zero Human Code: What I Learned from Forcing AI to Build (and Fix) Its Own Code for 27 Straight Days
Zero Human Code: What I Learned from Forcing AI to Build (and Fix) Its Own Code for 27 Straight Days 27 days, 1,700+ commits, 99,9% AI generated code The narrative around AI development tools has become increasingly detached from reality. YouTube is filled with claims of building complex applications in hours using AI assistants. The…
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Awesome Plotly with code series (Part 9): To dot, to slope or to stack?
Awesome Plotly with code series (Part 9): To dot, to slope or to stack? Simple methods to replace cluttered bar charts with crisp, reader-friendly visuals. Continue reading on Towards Data Science » Jose Parreño Go to original source
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I’m Doing the Advent of Code 2024 in Python — Day 4
I’m Doing the Advent of Code 2024 in Python — Day 4 Let’s see how many stars we’ll collect. Continue reading on Towards Data Science » Soner Yıldırım Go to original source
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I’m Doing the Advent of Code 2024 in Python — Day 2
I’m Doing the Advent of Code 2024 in Python — Day 2 Let’s see how many stars we’ll collect. Continue reading on Towards Data Science » Soner Yıldırım Go to original source
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Awesome Plotly with Code Series (Part 5): The Order in Bar Charts Matters
Awesome Plotly with Code Series (Part 5): The Order in Bar Charts Matters And it is not always simply ordering by highest to lowest Continue reading on Towards Data Science » Jose Parreño Go to original source
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I’m Doing the Advent of Code 2024 in Python — Day 1
I’m Doing the Advent of Code 2024 in Python — Day 1 Let’s see how many stars we’ll collect. Continue reading on Towards Data Science » Soner Yıldırım Go to original source
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Google Gemini Is Entering the Advent of Code Challenge
Google Gemini Is Entering the Advent of Code Challenge An open-source project to explore the capabilities and limitations of LLMs on coding challenges Image by author (created with Flux 1.1 Pro) What is this about? If 2024 taught us anything in the realm of Generative AI, then it is that coding is one of the most promising…