Spyder
plotly
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Spyder | plotly | |
---|---|---|
84 | 65 | |
8,039 | 15,247 | |
0.9% | 2.3% | |
9.9 | 9.4 | |
4 days ago | 10 days ago | |
Python | Python | |
MIT License | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Spyder
- Spyder – The Scientific Python Development Environment
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I've coded in R for years, but I want to learn Python for machine learning/statistical analysis. Where to start, and which IDE?
IDE-wise, I find Spyder to be the most R-like. If you are comfortable with R Studio, maybe check it out.
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Email proves Microsoft's Activision bid is designed to eliminate Playstation
For anyone else who hadn’t heard of Spyder: https://www.spyder-ide.org/
- R user, trying to learn Python... what´s the Rstudio equivalent?
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The Best Python IDE For Mac Users - Part 1
Spyder
- PYTHON vs OCTAVE for Matlab alternative
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Why does Python look one way on my laptop and completely different in this video i wanted to watch?
Spyder - a popular editor for scientific work, the default option if you get the Anaconda implementation of Python which includes many packages used in science and engineering fields
- Too many people go to college for a hobby instead of for a major.
- Which IDE is your favorite? And which IDE would you recommend for trading
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What is your favorite IDE/Text Editor to use for Python?
I also have a fondness for Spyder, which was my first non-IDLE IDE experience. It is heavily geared toward scientific computing.
plotly
- Yes, Python and Matplotlib can make pretty charts
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Top 10 growing data visualization libraries in Python in 2023
Github: https://github.com/plotly/plotly.py
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How to Create a Pareto Chart 📐
First we need to install the Plotly. To create some very dynamic graphics, this tool helps a lot.
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For all you computational people: What’s your favorite plotting software?
my good dude wake up and smell the plotly. Knowing the ins and outs of matplotlib is helpful but doing interactive stuff with jupyter I always use plotly.
- What does Power BI offer?
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Other programing options?
Plotly documentation (https://plotly.com/python/)
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Advice on upgrading my Presentation template
I don´t know your workflow, but I use 2 markdown based presentations: obsidian advance slides and Quarto presentations. The former is a plugin for Obsidian, which is the software I use to take all my notes, write my thesis, etc., so It makes it extremely easy to make presentations since all my information is in Obsidian. In the other hand, Quarto is a publishing system (articles, presentations, websites books) that can be easily integrated with python and R. This makes it supper convenient for showing my data to my PI since I can analyze my data and at the same time make a presentation for the data. Besides this, Quarto also integrates with my Zotero library, so I can insert citations. Lastly, one thing that made my Quarto presentations infinitely better that the powerpoints, Is that I can insert interactive graphs with plotly, so when I'm showing my data, my PI is able to explore the data inside the presentation.
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[OC] Clustering Images with OpenAI CLIP, T-SNE, UMAP & Plotly
Plotly GitHub repository: https://github.com/plotly/plotly.py
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Could you recommend some graphing GitHub Repo. for JupyterLab?
I'm using plotly.py now. This is why I love this community.
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Anyone else feel ‘trapped’ in power bi?
Depending on the nature of your reporting requirements, you could output a formatted Excel document with Python and a library such as openpyxl, and shove that into your SharePoint environment. This would be less dynamic than PBI reports can be, but may be sufficient. If you want viz as well, you can use something like ggplot or Plotly. Again, less dynamic than PBI for the same effort.
What are some alternatives?
Visual Studio Code - Visual Studio Code
Altair - Declarative statistical visualization library for Python
thonny - Python IDE for beginners
bokeh - Interactive Data Visualization in the browser, from Python
Atom - :atom: The hackable text editor
matplotlib - matplotlib: plotting with Python
qtconsole - Jupyter Qt Console
PyQtGraph - Fast data visualization and GUI tools for scientific / engineering applications
jupyter-book - Create beautiful, publication-quality books and documents from computational content.
folium - Python Data. Leaflet.js Maps.
jupyterlab-lsp - Coding assistance for JupyterLab (code navigation + hover suggestions + linters + autocompletion + rename) using Language Server Protocol
Apache Superset - Apache Superset is a Data Visualization and Data Exploration Platform [Moved to: https://github.com/apache/superset]