YouTeam
Lemon.io
Upwork
Fiverr
Freelancer.com
PeoplePerHour
Toptal
Guru
Matplotlib
Pandas
NumPy
Seaborn
D3.js
Plotly
GnuPlot
Jupyter
It's an outsourcing marketplace and a single point of access to over 500 vetted development agencies, representing a talent pool of 50,000+ contractors across 35 countries. It's also a matching engine that tunes to your needs and delivers precisely the talent you're looking for, every time.
Used by: 250+ tech companies across the US, UK, and Europe. 50+ Y Combinator startups. 2 Fortune 500 companies.
Backed by Y Combinator and Horizon Capital.
YouTeam
MatplotlibYouTeam is particularly recommended for startups, small to medium-sized enterprises, and tech companies that need to rapidly scale their development teams. It's also suitable for businesses seeking specialized skills on a project basis without the long-term commitment of traditional hiring processes.
Based on our record, Matplotlib seems to be a lot more popular than YouTeam. While we know about 114 links to Matplotlib, we've tracked only 2 mentions of YouTeam. 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.
[ ] https://youteam.io/ - โThe new, smarter way to contract engineersโ. Source: over 3 years ago
* \[ \] [https://www.howdy.com/](https://www.howdy.com/) - โThe platform to build and manage your dev team in LATAMโ * \[ \] [https://www.skipp.dev/](https://www.skipp.dev/) - โInterview your next tech candidates in 24 hoursโ * \[ \] [https://www.growmodo.com/](https://www.growmodo.com/) - โHire Your Whole Design & Dev Team With a Few Clicksโ * \[ \] [https://youteam.io/](https://youteam.io/) - โThe... Source: over 3 years 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 / 5 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 / 8 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 / 9 months ago
NetworkX and Matplotlib were used to visualize the graph structure of the agent. - Source: dev.to / 10 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 / 11 months ago
Lemon.io - Lemon.io is a community of vetted offshore developers for startups.
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
Upwork - Forget the old rules. You can have the best people. Right now. Right here.
NumPy - NumPy is the fundamental package for scientific computing with Python
Fiverr - One marketplace, millions of professional services.
Seaborn - Seaborn is a Python data visualization library that uses Matplotlib to make statistical graphics.