
Matplotlib
Pandas
NumPy
Seaborn
D3.js
Plotly
GnuPlot
Jupyter
RedNotebook
Evernote
OneNote
Simplenote
Notezilla
CintaNotes
ToDoList
Laverna
Matplotlib
RedNotebookRedNotebook is recommended for individuals who are interested in maintaining a simple digital journal without requiring advanced features. It is effective for those who prioritize a no-frills approach to journaling, appreciate cross-platform functionality, and enjoy the benefits of using open-source software.
Based on our record, Matplotlib seems to be a lot more popular than RedNotebook. While we know about 114 links to Matplotlib, we've tracked only 8 mentions of RedNotebook. 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
Possibly https://rednotebook.sourceforge.io/ could be a starting point if you want to hack about in Python. Source: almost 4 years ago
As for a digital journal on your computer, take a look at RedNotebook. I liked it when I used it, before going back to physical journaling. Source: about 4 years ago
I was using Microsoft Excel and Rednotebook. I still use Rednotebook as log for research info but no longer use Excel which Excel was being used for viewing my P/L on my trades. Source: over 4 years ago
(by the way I use Red Notebook for my journal. It's spectacular. https://rednotebook.sourceforge.io/). Source: over 4 years ago
What helped me to develop gratitude towards life in spite of everything happening was to start a journal. Get a diary where each day has a separate page. I like to do this in paper, but there are apps or a desktop version of a journal: https://rednotebook.sourceforge.io/. Source: over 4 years ago
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
Evernote - Bring your life's work together in one digital workspace. Evernote is the place to collect inspirational ideas, write meaningful words, and move your important projects forward.
NumPy - NumPy is the fundamental package for scientific computing with Python
OneNote - Get the OneNote app for free on your tablet, phone, and computer, so you can capture your ideas and to-do lists in one place wherever you are. Or try OneNote with Office for free.
Seaborn - Seaborn is a Python data visualization library that uses Matplotlib to make statistical graphics.
Simplenote - The simplest way to keep notes. Light, clean, and free. Simplenote is now available for iOS, Android, Mac, and the web.