
Floor.bz
l00kin
NFTGO
Coindive
Zoom
LOGYTalks
Asset Money
Foundation
Matplotlib
Pandas
NumPy
Seaborn
D3.js
Plotly
GnuPlot
Jupyter
FLOOR is an all-in-one solution for community builders & event planners. We help you to build, engage, and manage your community all from one place.
Trusted by 2000+ clients globally, FLOOR is a fully customizable virtual and hybrid events platform with best-in-class systems & access permissions. You can set up any kind of online event on FLOOR, either standalone or hybrid with physical events, be it summits, meetups, keynote conferences, awards, expos, meetings, live roadshows, training events, etc. We offer an array of digital products & services like events, membership, marketing, advisory and a lot more.
No matter your format or goal, FLOOR is your space to build and grow.
Floor.bz
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Are you looking Virtual Event Platform in the USA? Floor deals in virtual platform services in the last 10 years. here, the dashboard is easy to use. Anyone who uses this software and conference online. There are so many features available like mute, manage members, private video conferencing, etc. Visit now: https://floor.bz/. Source: about 5 years ago
The floor is the Best Virtual Event Platform in the world. Are you looking best platform for the event? The floor is the best virtual event platform service provider with discounts. You can take our service. Visit now: https://floor.bz/. Source: about 5 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
l00kin - Social space for web3 community ๐ฅณ
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
NFTGO - NFTGO is an aggregator that collects & visualizes real-time data around NFT asset trading volume across the chains, specifically Ethereum, BSC, Polkadot, etc.
NumPy - NumPy is the fundamental package for scientific computing with Python
Coindive - Stay effortlessly updated on your favorite crypto projects.
Seaborn - Seaborn is a Python data visualization library that uses Matplotlib to make statistical graphics.