Padlet
Popplet
Quiver
Quizalize
Acadly
Kids A-Z
Socrative
Seesaw
Matplotlib
Pandas
NumPy
Seaborn
D3.js
Plotly
GnuPlot
Jupyter
Dostoevsky said that beauty will save the world.
Padlet offers beautiful boards and canvases for visual thinkers and learners. Use boards to collect, organize, and present anything. Use sandboxes for whiteboarding, lessons, and activities.
Over 40 million people every month actively use Padlet around the world. Here are some of the ways they use it:
-Collaborate on files with clients -Store instructional videos -Share marketing assets -Manage real-estate listings on a map -Create interactive lessons -Design collaborative worksheets -Make slideshows -Build meeting agendas -Solicit feedback -Brainstorm ideas -And more
Dostoevsky would have loved Padlet.
Padlet MatplotlibPadlet's answer
Padlet makes beautiful boards and canvases for visual thinkers and learners. You can post almost anything - files, images, videos, links - and organize them however you want. It's like a blank canvas that works exactly how you'd expect it to.
Padlet's answer
We focus on making things beautiful by default, with pixel-perfect design and automatic formatting. You get instant file previews, curated wallpapers, and real-time collaboration that just works. Plus, it's available in 45 languages across all major platforms.
Padlet's answer
Over 40 million monthly users including:
Padlet's answer
Padlet was originally called Wallwisher. It was a tool to create walls to make birthday wishes.
Based on our record, Matplotlib should be more popular than Padlet. It has been mentiond 114 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.
I use https://padlet.com and it's varying types of padlets to keep track of things, brainstorming, etc. Source: about 3 years ago
STAAR Math Practice is the state's testing program and is based on state curriculum standards in core subjects including reading, writing, mathematics, science, and social studies. STAAR tests are designed to measure what students are learning in each grade and whether or not they are ready for the next grade. Source: over 3 years ago
From urllib.request import Request, urlopen Req = Request("https://padlet.com") Req.add_header('User-Agent', 'Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.11 (KHTML, like Gecko) Chrome/23.0.1271.64 Safari/537.11') Req.add_header('Accept-Encoding','gzip, deflate, br') Req.add_header('Connection','keep-alive') Resp = urlopen(req) Content = resp.read(). Source: over 3 years ago
We've used Padlet in the past but switched to Menti a year ago or so. There are many other tools, and most have an export feature, which allows you to download the data in a format readable by Excel. In Excel, we code each comment according to the categories covered by our in-house course survey: content, facilitation, duration, pacing, venue, materials, learning, relevance, satisfaction, and likelihood to recommend. Source: over 3 years ago
Hi, could anyone tell me if you are able to track who anonymously posted something on padlet.com ? 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 / 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
Popplet - Popplet is the simplest application to capture and organize your idea.
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
Quiver - Quiver is a notebook built for programmers.
NumPy - NumPy is the fundamental package for scientific computing with Python
Quizalize - Quizalize is a leading web-based and mobile-based classroom application that delivers the best and easiest way to differentiates your teaching.
Seaborn - Seaborn is a Python data visualization library that uses Matplotlib to make statistical graphics.
