TechNuggets
plotly
TechNuggets | plotly | |
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5 | 65 | |
3 | 15,396 | |
- | 2.1% | |
3.0 | 9.4 | |
12 months ago | 4 days ago | |
Jupyter Notebook | Python | |
- | MIT License |
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TechNuggets
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React + Tensorflow.js , a cool recipe for AI powered applications
Next, we will create our components. Nothing too crazy, just a text component and a notifications component. Each one will have its own css file in the src/components directory. (you can check out the code at this repo) Eventually, our frontend will look like something like this
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Using AWS CLI with Powershell's SecretStore Module to protect your Access keys
I've have all the code used in this post available in this repo
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Create interactive plots with Python and Plotly
I've created a notebook in this Github repo to demo some of Plotly basic capabilities and I highly recommend checking out the official documentations for examples of each plot type and to discover lots of cool stuff that you can put in your notebook/site ๐.
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Build a GUI and package ๐ฆ your killer Python scripts ๐with Tkinter and Pyinstaller
If you are eager to see a complete example on a Tkinter gui, I've created and example which is more or less simulating the actual situation which I told you about earlier in this post. You can find it in this github repo. I've separated my business logic (killer_script.py) from my GUI (myapp.py) and I used a launcher module (app_launcher.py) for further modularity. I did my best commenting the py files ๐ but you will always find something that I missed and you didn't totally understand! That's completely normal. You only have to look it up online or in the docs! If that didn't work, just drop it below in the comments and I'll try my best to make it simpler for you ๐
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Data Wrangling with Python ๐
Pandas can import data from a wide variety of data sources. Usually it uses the function read_x where "x" is csv, excel, json, ..., etc. In this tutorial, we will use a csv (comma separated values) file representing a transactions (purchases) log in a grocery store. Each row represents one item in a single transaction. One transaction can have multiple items. Sometimes, manual entries can happen ๐ฌ. You can find the sample dataset and all the code in this tutorial in this Github repo. The goal of this tutorial is to wrangle this file to find out what is the total revenue per item category and the top 3 purchased items.
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 ๐
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: Whatโs 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 donยดt 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 โtrappedโ 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?
Altair - Declarative statistical visualization library for Python
bokeh - Interactive Data Visualization in the browser, from Python
matplotlib - matplotlib: plotting with Python
PyQtGraph - Fast data visualization and GUI tools for scientific / engineering applications
folium - Python Data. Leaflet.js Maps.
Apache Superset - Apache Superset is a Data Visualization and Data Exploration Platform [Moved to: https://github.com/apache/superset]
seaborn - Statistical data visualization in Python
bqplot - Plotting library for IPython/Jupyter notebooks
pygal - PYthon svg GrAph plotting Library
Graphviz - Simple Python interface for Graphviz
Cartopy - Cartopy - a cartographic python library with matplotlib support
Redash - Make Your Company Data Driven. Connect to any data source, easily visualize, dashboard and share your data.