
Claude AI
ChatGPT
Gemini
Perplexity.ai
Poe
Microsoft Copilot
Jasper.ai
OpenAI
Matplotlib
Pandas
NumPy
Seaborn
D3.js
Plotly
GnuPlot
Jupyter
Claude AI
MatplotlibSo Iโve been playing around with Claude for a bit, and hereโs the vibe:
Honestly, it feels way more chill than a lot of other AI tools. Itโs super polite, doesnโt jump into assumptions too fast, and gives responses that are easy to read like talking to a thoughtful friend rather than someone in a hurry. Itโs surprisingly good at breaking down complex stuff into simple terms without sounding condescending, which I really appreciate.
In terms of creativity, Claude does pretty well โ whether I ask for a poem, a short story, or help brainstorming ideas, it doesnโt just give cookie-cutter replies. Thereโs a bit of personality there, like it tries to make things interesting rather than just factual.
On the downside? Sometimes it plays it a bit too safe. If you push for a bold opinion or a more adventurous answer, itโll often stay in the middle-of-the-road lane. And for niche topics, itโs not always as sharp as some other models unless you give super clear instructions.
Also, itโs fast no long pauses or overcomplicated explanations which makes it nice for quick back-and-forth.
Claude Sonnet 3.5 is amazing for coding! I used to use the chat interface and copy-paste, but now I use aider.chat. Aider works in a git repo and forces Claude to only make the changes you requested. Changes are easy to revert.
A downside: Code is not always what I want. I try to make it do work in small chunks and this helps. Excels at writing boilerplate-y code that tends to be a little different on different websites.
Two helpful styles of prompts:
Using it for Python/Django/HTMX/AlpineJS. Django templates mixed with JS are no problem.
Matplotlib might be a bit more popular than Claude AI. We know about 114 links to it since March 2021 and only 99 links to Claude AI. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Have same issue, it redirect to https://claude.ai/login?returnTo=%2Fdesign then back and redirect to https://claude.ai/login?returnTo=%2Fdesign again, looping... - Source: Hacker News / 3 months ago
My prefered way of using a new mode is through Claude, but I believe Gemma4 has a different tool calling structure so it is not compatible yet, but you can use it with LMStudio, or skil all that because you can now. - Source: dev.to / 3 months ago
โ In 2024, Apple released a technical paper revealing that "Apple Intelligence" was trained on TPUs, bypassing NVIDIA entirely โ Top AI models like Claude (Anthropic), Midjourney, and Character.ai rely heavily on Google because they offer better performance-per-dollar for massive Transformer models. - Source: dev.to / 6 months ago
Drop an image into Claude or ChatGPT asking it to "recreate this." The result? The LLM guesses styles. Is that padding 16px or 24px? Is that blue #3b82f6 or #2563eb? Is the shadow 0 2px 8px or 0 4px 12px? Pure hallucination. - Source: dev.to / 6 months ago
AI tool (MCP Client) with a paid subscription is preferred - We use Claude with โpro planโ as an example. - Source: dev.to / 6 months ago
In February, an AI agent named MJ Rathbun submitted a pull request to matplotlib โ the Python plotting library used by half the scientific computing world. Scott Shambaugh, a volunteer maintainer, rejected it. Standard code review. Nothing unusual. - Source: dev.to / 4 months ago
Numbers are useful, but sometimes itโs easier to spot patterns when you can actually see your data. Pandas works seamlessly with Matplotlib, a popular Python library for creating visualizations. Together, they make it easy to turn raw numbers into clear charts. - Source: dev.to / 7 months ago
We are storing the results in JSON files, which we combine, analyze and visualize using matplotlib in Python. Here's the structure of a benchmark result file:. - Source: dev.to / 7 months ago
NetworkX and Matplotlib were used to visualize the graph structure of the agent. - Source: dev.to / 8 months ago
The book introduces the core libraries essential for working with data in Python: particularly IPython, NumPy, Pandas, Matplotlib, Scikit-Learn, and related packages Familiarity with Python as a language is assumed; if you need a quick introduction to the language itself, see the free companion project, Aโฆ. - Source: dev.to / 10 months ago
ChatGPT - ChatGPT is a powerful, open-source language model.
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
Gemini - Gemini, formerly known as Bard, is a generative artificial intelligence chatbot developed by Google. Based on the large language model (LLM) of the same name, it was launched in 2023 in response to the rise of OpenAI's ChatGPT.
NumPy - NumPy is the fundamental package for scientific computing with Python
Perplexity.ai - Ask anything
Seaborn - Seaborn is a Python data visualization library that uses Matplotlib to make statistical graphics.