sample-flask-pandas-dataframe
dtale
sample-flask-pandas-dataframe | dtale | |
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9 | 46 | |
17 | 4,569 | |
- | 1.2% | |
2.6 | 8.1 | |
2 months ago | 7 days ago | |
Python | TypeScript | |
MIT License | GNU Lesser General Public License v3.0 only |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
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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.
sample-flask-pandas-dataframe
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AppSeed.us - Does anyone know about it?
Hello guys, I'm looking around for Django boilerplates and I've just discovered https://appseed.us/
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Want to succeed? Be a fearless rat | AppSeed
Usually, I'm writing about automation and seed projects. Well, this time the post is about a dummy video published on yTube that helps me to keep going with my startUp during the hard times. Thanks in advance!
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App Generator - Code a simple Dashboard using AppSeed
This article explains how to use AppSeed to generate a simple Flask Dashboard using a visual interface. Users can access the service without an account, generate a new project based on their selections and download the code from Github (MIT License).
- Built with Flask - AppSeed.us / eCommerce + Generator / Celery / Material Kit BS5 (more info in comments)
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AppSeed - New Version
The new version of AppSeed is LIVE. The platform has been redesigned to offer a better user experience and complete refactoring over site structure. For newcomers, AppSeed is a platform that uses automation tools to generate tested, production-ready starters.
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NodeJS for Beginners - Practical Guide (With Samples)
Thanks for reading! Content provided by App Generator
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Is appseed legit?
Has anyone used an appseed template to build their own flask dashboard/site? It seems great, I can download an example template and start adding in my own data etc. But it almost seems too good. It's free and the "reviews" of it online seem like plants. I'm worried there may be something hidden in it somewhere. I'm thinking of the phrase, "if you're not paying then you're the product".
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Flask Pandas Dataframe - (For beginners) Simple project that loads pandas dataframe into the database and shows the information on a page - More info in comments
The project that might help beginners to understand basic Flask concepts: - Create a simple Flask app - Download a public pandas DF - Create an SQLite DB and a table to save the information - Load pandas in DB using a new custom command - Visualize the data in the browser
dtale
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The free pandas visualizer, D-Tale, has now been integrated with ArcticDB which will allow users to load huge datasets and easily navigate their databases
[D-Tale](https://github.com/man-group/dtale) has recently released version 3.2.0 on pypi & conda-forge: ``` pip install -U dtale conda install dtale -c conda-forge ``` But if you want to take it one step further you can now integrate it with [ArcticDB](https://github.com/man-group/ArcticDB): ``` pip install -U dtale[arcticdb] ``` This allows you the ability to navigate your libraries of datasets saved to your ArcticDB database! But the best part is that all the reads are occuring directly against ArcticDB so some of the memory constraints you may have been hit with before are now a thing of the past. Here's a full write up how to use this functionality along with a quick demo: https://github.com/man-group/dtale/blob/master/docs/arcticdb/ARCTICDB\_INTEGRATION.md Hope this helps & please support open-source by throwing your star on the [repo](https://github.com/man-group/dtale). Thanks! 🙏
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Data Scientists using neovim: how do you explore dataframes?
I've looked into external tooling, libs such as dtale, which feel overly complicated for my use case (but I'm open to alternatives). What I would like to have instead is something akin to Spyder's variable viewer, which allows sorting by column. VSCode goes a step further and also provides the ability to filter the dataframe.
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I need help lol
D-Tale: A Python library that provides an interactive web-based interface for data exploration and analysis.
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Something better than pandas? with interactive graphical UI?
Try this: https://github.com/man-group/dtale
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Mito – Excel-like interface for Pandas dataframes in Jupyter notebook
https://github.com/man-group/dtale
I find that I'm actually a lot faster using basic Pandas methods to get the data I want in exactly the form I want it.
If I really want to show everything, I just use:
'''
- Memray is a memory profiler for Python by Bloomberg
- Show HN: D-Tale, easy to use pandas GUI
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Added visualizations of statsmodels time series analysis functions to the free pandas visualizer, D-Tale
Just added "Time Series Analysis" in v1.60.1 of D-Tale on pypi & conda-forge: pip install -U dtale conda install dtale -c conda-forge This feature provides a quick and easy way to visualize the usage of the following time series analysis function in statsmodels:
- Show HN: Open-source pandas dataframe visualizer
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For all the python/pandas users out there I just released a bunch of UI updates to the free visualizer, D-Tale
Your data is stored in memory so the size of your dataframe is limited to the memory of your machine. That being said we’ve allowed users to swap out the machanism which stores the data so you can use something like Redis or Shelve to allieviate memory. Here’s some documentation: https://github.com/man-group/dtale/blob/master/docs/GLOBAL_STATE.md
What are some alternatives?
seaborn - Statistical data visualization in Python
PandasGUI - A GUI for Pandas DataFrames
blog-django-install-theme - Django - Install Soft Dashboard Theme
ydata-profiling - 1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.
django-learn-by-coding - Django Web Framework - Learn by Coding | AppSeed
jupyterlab-autoplot - Magical Plotting in JupyterLab
flask-material-kit - Flask Boilerplate - Material Kit Design | AppSeed
pandastable - Table analysis in Tkinter using pandas DataFrames.
sample-flask-api-restx - Flask API Sample - Open-Source API Server | AppSeed
sqliteviz - Instant offline SQL-powered data visualisation in your browser
react-berry-dashboard - React Berry Dashboard - Full-Stack Product | AppSeed
best-of-ml-python - 🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.