NumPy
Pandas
Scikit-learn
OpenCV
Dataiku
Exploratory
htm.java
Figure Eight
xTiles App
Milanote
Excalidraw
Craft Docs
Walling
Heptabase
Scrintal
tldraw
Our app puts three core values to the fore: simplicity, visualization, and consensus.
By creating an infinite canvas where cards, much like sticking notes, resemble a neatly organized collection of inter-related ideas. They serve as units of thoughts with clear borders, displayed on a squeaky-clean white canvas.
To preclude the document from becoming messy as the number of cards augments, we betted on functions that are clear-cut and intuitive. They include dragโnโdrops; deep dive; tabs within a document; embedded pictures, videos, and links; sub-pages. As a result, the users get a well-organized, easy-to-navigate space.
Rather than providing bits and pieces of scattered information, the tool gives you a birdโs-eye view of the cards, creating the big picture.
Pillared by simplicity and visualization, the app offers a collaborative space for teams to work together in real-time, sharing cards and elaborating on ideas.
xTiles AppI switched from Notion because xtiles is a simple but powerful tool for knowledge management. It's not about functionality, but about use cases, that both products help with. For instance, if you need to create a strict knowledge base for the team and save data, then the notion works. But if you want to save your knowledge and reuse it in the future - you'll definitely get more value using xtiles. Great product!
Based on our record, NumPy seems to be a lot more popular than xTiles App. While we know about 122 links to NumPy, we've tracked only 1 mention of xTiles App. 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.
Unmatched integration with ML/AI ecosystems through NumPy, TensorFlow, and PyTorch. - Source: dev.to / 9 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
AI starts with math and coding. You donโt need a PhDโjust high school math like algebra and some geometry. Linear algebra (think matrices) and calculus (like slopes) help understand how AI models work. Python is the main language for AI, thanks to tools like TensorFlow and NumPy. If you know JavaScript from Vue.js, Pythonโs syntax is straightforward. - Source: dev.to / 11 months ago
The AI Service will be built using aiohttp (asynchronous Python web server) and integrates PyTorch, Hugging Face Transformers, numpy, pandas, and scikit-learn for financial data analysis. - Source: dev.to / over 1 year ago
This library provides functions for working in domain of linear algebra, fourier transform, matrices and arrays. - Source: dev.to / almost 2 years ago
I would highly recommend xtiles. After trying, notion, obsidian, logseq, craft, anytype, slite, and many other alternatives, I decided to go for Xtiles. If you are not writing a novel or very long texts it is an amazing tool to gather information and put down and organize whatโs on your mind. Give it a shot . Source: over 3 years ago
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
Milanote - Milanote is a note taking app for creative work.
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
Excalidraw - Excalidraw is a whiteboard tool that lets you easily sketch diagrams that have a hand-drawn feel to them.
OpenCV - OpenCV is the world's biggest computer vision library
Craft Docs - The writing app you've been waiting for