degiro-bookkeeper
dash
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degiro-bookkeeper | dash | |
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5 | 43 | |
5 | 17,100 | |
- | 2.3% | |
6.9 | 9.8 | |
about 1 month ago | 4 days ago | |
F# | Python | |
GNU General Public License v3.0 only | MIT License |
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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.
degiro-bookkeeper
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CGT Initial Period End Date Today
I made a small tool exactly for that (it's free and open source) https://github.com/pviotti/degiro-bookkeeper it parses the account statement and outputs some figures
the FIFO and 4 weeks rule are not yet implemented (mostly because they don't matter that much to my trading strategy, I was trying to have something useful for all Degiro users, not just Irish ones. See this issue for more info). It's not totally trivial to implement (there are edge cases, and the account statement itself is messy..), so more than happy to collaborate on this.
you can download the executable from the release page. Then you run it (as described in the readme) on the command-line shell of your operating systems (on Windows it would be cmd or PowerShell).
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Total P/L calculation - How to calculate manually
I created a small open source command line tool to work out realised profits: https://github.com/pviotti/degiro-bookkeeper
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DEGIRO CGT Calculation Excel
I've written a command line application that outputs CGT-related figures given Degiro account statement in CSV format. It's open source and cross platform. https://github.com/pviotti/degiro-bookkeeper
dash
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Can anyone explain me callback in dash
This is an older example, i found on github here
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Feedback on Plan for Backend Python Developer Interview Prep / Learning Backend Engineering
One of my previous companies used Tableau. I didn't work directly with it though it didn't look like much fun though some of the analysts loved it. You may find dash or jupyter lab interesting as it is more python.
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What's the coolest problem you've ever solved?
Sure I used dash by plotly
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AAD auth for Plotly Dash
One particular interesting case is Dash by Plotly. While I myself have previously used Bokeh, I quickly made the transition to Dash since I felt it was more ready for usage as a deployed application. Additionally, having access to Plotly as a charting library is a big plus because it is such a successful open-source project with a strong community and a fantastic library.
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Dashboard without database?
Create a Plotly Dash app. It makes creating non-standard dashboards very easy. https://plotly.com/dash/
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Could I get your opinion on this options premium tracking website I've been building as a personal project?
I use 100% plotly dash. The challenfe i wanted was to see how far i could push dash when building a web app. For example the data table from this library doesnt allow for links or buttons etc in the table cells. So i had to creat e that with orther elements from the library and cast cols/rows manually without using raw java script or html. Here is the link to the Plotly Dash library
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[Q] What industries use R over Python? Is it better to learn Python rather than R? I will be learning both, but want to know which I should focus on more.
Shiny is pretty great, but python has dash and streamlit, which in my opinion are nicer to use.
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Tutorial help
In terms of data visualisation, another library you may want to consider is Dash. Real Python tutorial here. Dash generates React components on the fly to make nice data visualisations and it integrates well with pandas. I don't recommend Dash if you need a high level of customisation though.
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Advice on what languages / frameworks to use to build website
You might be able to use Dash for your needs. https://plotly.com/dash/
- How can i create a cloud interface using python?
What are some alternatives?
streamlit - Streamlit — The fastest way to build data apps in Python
fastapi - FastAPI framework, high performance, easy to learn, fast to code, ready for production
uvicorn - An ASGI web server, for Python. 🦄
panel - A high-level app and dashboarding solution for Python
Flask - The Python micro framework for building web applications.
PyWebIO - Write interactive web app in script way.
Jinja2 - A very fast and expressive template engine.
ipywidgets - Interactive Widgets for the Jupyter Notebook
three.js - JavaScript 3D Library.
ttkthemes - A group of themes for the ttk extenstions for Tkinter
Chart.js - Simple HTML5 Charts using the <canvas> tag
appsmith - Low code project to build admin panels, internal tools, and dashboards. Integrates with 15+ databases and any API.