Gmail
Microsoft Outlook
ProtonMail
Zoho Mail
Tutanota
FastMail
Spark Mail
Superhuman
Matplotlib
Pandas
NumPy
Seaborn
D3.js
Plotly
GnuPlot
Jupyter
Gmail
MatplotlibVery happy with its offers, it has a full suite of tools. Also the user experience is great. I am not sure about the privacy though. I am not confident enough to use it for sending and receiving confidential documents.
I used to use Gmail until 4 months ago. I was really happy with this mail, it is easy to handle and, being a Google member, there are many tools available to use. However, I started to learn about the security and privacy offered by Google, which is NONE. We are selling our information and personal data to a technological giant and, many times, we are not even aware of it.
This is why I deleted all but one of my Google-related accounts. As most people are still not aware of this, when working or contacting certain people for the first time, it is essential to do it through Gmail.
Today, there are a few alternatives to solve this lack of privacy. After doing an intensive search and reading comments, I decided to get an account with Mailfence and, honestly, I'm very happy with their service. It's an easy to use email, with end-to-end encryption, digital signatures, calendar, document saving capabilities, ... I really recommend it for all those who are starting in the world of privacy and security. The best thing is that you can create a free account and, if you are happy with the service or need more storage space, you can switch to a paid account.
I hope my opinion helps everyone, especially those who are thinking about whether it is really worth giving all our information in exchange for a free email.
Based on our record, Matplotlib seems to be more popular. 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.
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
Microsoft Outlook - Organize your world. Outlookโs email and calendar tools help you communicate, stay on top of what matters, and get things done.
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
ProtonMail - Secure email with absolutely no compromises. Get your free encrypted email account today.
NumPy - NumPy is the fundamental package for scientific computing with Python
Zoho Mail - Zoho Mail is a secure, encrypted, and enterprise-ready email solution, a suite of apps tailor-made for your organization's needs.
Seaborn - Seaborn is a Python data visualization library that uses Matplotlib to make statistical graphics.