Matplotlib
Pandas
NumPy
Seaborn
D3.js
Plotly
GnuPlot
Jupyter
Notion
Asana
Trello
Obsidian.md
Evernote
ClickUp
Todoist
monday.com
Matplotlib NotionIt's been very very helpful to streamline different people on our team, especially remote workers to help them understand what's going on in our business without 100s of meetings.
My remote-first start-up has eliminated more than 200+ hours of meetings and 1000s of mismanaged documents because our entire communication happens through Notion.
As someone who's always on the lookout for the perfect productivity app, I was excited to try out Notion. It promises to be an all-in-one tool for everything from note-taking to project management to personal wikis.
From the moment you open Notion, you can tell that it's different from other productivity apps. The interface is sleek and modern, and it's easy to navigate. The app is divided into pages, which can be customized with different templates to fit your needs. You can create to-do lists, databases, wikis, calendars, and more.
One of the things I love about Notion is the ability to create relationships between pages. For example, you can create a database of your favorite books and then link to a page with your book reviews. Or you can create a to-do list and link to a page with notes about the task. This feature makes it easy to keep all of your information in one place and to connect related items.
Based on our record, Notion should be more popular than Matplotlib. It has been mentiond 441 times since March 2021. 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.
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 / 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
Two of the most popular open source note taking app are affine (basically notion but open source) and obsidian (which stores notes in markdown). - Source: dev.to / over 1 year ago
Notion | https://notion.so | Android Engineer | SF | hybrid (in office 2x a week) | Full time- Source: Hacker News / almost 2 years agoLevel: Mid/Mid+ (4-6yrs experience).
Advanced Notion and Google Doc writing editor. - Source: dev.to / about 2 years ago
I manage my non-work and work-adjacent tasks in Notion. Whenever I have an idea, regardless of how big or small or silly or achievable it is, I'll add it to Notion, and use labels to categorise it by type of output (e.g. blog, silly project, website update). Today I wanted to write a short post for my site. I clicked on the filtered blog post view, and selected this one (because I hoped it would be a quick one!). - Source: dev.to / over 2 years ago
Notion.so redefines workspaces. With its intelligent organization and collaboration features, it's more than a productivity toolโit's a digital haven. Discover the art of streamlined and efficient teamwork. - Source: dev.to / over 2 years ago
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
Asana - Asana project management is an effort to re-imagine how we work together, through modern productivity software. Fast and versatile, Asana helps individuals and groups get more done.
NumPy - NumPy is the fundamental package for scientific computing with Python
Trello - Infinitely flexible. Incredibly easy to use. Great mobile apps. It's free. Trello keeps track of everything, from the big picture to the minute details.
Seaborn - Seaborn is a Python data visualization library that uses Matplotlib to make statistical graphics.
Obsidian.md - A second brain, for you, forever. Obsidian is a powerful knowledge base that works on top of a local folder of plain text Markdown files.