Dropbox
Google Drive
Box
Mega
Microsoft OneDrive
pCloud
ownCloud
WeTransfer
Matplotlib
Pandas
NumPy
Seaborn
D3.js
Plotly
GnuPlot
Jupyter
Dropbox MatplotlibIt's much more convenient than GoogleDrive. I frequently use it to share my projects on freelance platforms. This is reliable cloud storage with many features
Based on our record, Matplotlib should be more popular than Dropbox. 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.
Even better: upload an example Excel file to a file-sharing website (box.net/files, dropbox.com, onedrive.live.com, etc), and post a download link that does not require that we log in. Source: over 2 years ago
Note that Dropbox automatically backs up all your files. So if you delete a file, you can recover it on dropbox.com, even 6 months later. Source: almost 3 years ago
Upload what is on that stick to a cloud based system that is not vulnerable to degradation of hardware, you can get a lot of storage for free on sites like dropbox.com, mega.nz, or icloud. You can also always make multiple backups. Source: almost 3 years ago
Did you try logging into dropbox.com and checking there? Often the files remain online even if they are removed locallY. You have to log in with the same account you deleted Locally. Source: about 3 years ago
Dropbox: You absolutely NEED backups. Ideally, both physical and cloud backups, because if you only have one backup, you're not backed up. I can't even begin to tell you how many writers have lost days, weeks, or even entire novels worth of work because they failed to back up their work, then had their computer break or had some weird software snafu. Dropbox is my preferred cloud backup solution, because you can... Source: about 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 / 8 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
Google Drive - Access and sync your files anywhere
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
Box - Box offers secure content management and collaboration for individuals, teams and businesses, enabling secure file sharing and access to your files online.
NumPy - NumPy is the fundamental package for scientific computing with Python
Mega - Secure File Storage and collaboration
Seaborn - Seaborn is a Python data visualization library that uses Matplotlib to make statistical graphics.