xela | A webapp tracking sponsorship , speaking , and cfps | Frontend Framework library

by mattstratton Go Version: Current License: MIT

X-Ray Key Features Code Snippets Community Discussions(2)Vulnerabilities Install Support

kandi X-RAY | xela Summary

xela is a Go library typically used in User Interface, Frontend Framework, React, Firebase applications. xela has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

A webapp for tracking sponsorship, speaking, and cfps for events. Built with :heart: by [@mattstratton] in Go. This project adheres to the Contributor Covenant [code of conduct] CODE_OF_CONDUCT.md). By participating, you are expected to uphold this code. We appreciate your contribution. Please refer to the [contributing guidelines] CONTRIBUTING.md) for details on how to help.

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Quality

Security

License

Reuse

Support

xela has a low active ecosystem.

It has 18 star(s) with 4 fork(s). There are 2 watchers for this library.

It had no major release in the last 6 months.

There are 30 open issues and 36 have been closed. On average issues are closed in 2 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of xela is current.

Quality

xela has 0 bugs and 0 code smells.

Security

xela has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

xela code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

xela is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

xela releases are not available. You will need to build from source code and install.

Installation instructions, examples and code snippets are available.

It has 2678 lines of code, 155 functions and 76 files.

It has high code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi has reviewed xela and discovered the below as its top functions. This is intended to give you an instant insight into xela implemented functionality, and help decide if they suit your requirements.

App creates a buffalo . App instance .
AuthCallback is called when a user login is authenticated
HomeHandler handles the home page .
AddFileToS3 uploads a file to S3 .
Validate validates this event
SetCurrentUser sets the current user
Authorize is a middleware that can be used to authenticate the user .
IsAuthorizedDomain determines if user domain is authorized
translations returns the translations middleware .
Initializes session store

Get all kandi verified functions for this library.

xela Key Features

No Key Features are available at this moment for xela.

xela Examples and Code Snippets

No Code Snippets are available at this moment for xela.

Community Discussions

Trending Discussions on xela

How to apply Pandas TA to a Dataframe with Groupby

Running 1000 functions gracefully using python multi-processing

QUESTION

How to apply Pandas TA to a Dataframe with Groupby

Asked 2021-Dec-23 at 23:52

I have a dataframe that contains stock data and is grouped by stocks (see attached image for example), the index is each minute of data for each stock and the second column is the stock symbol.

I am trying to apply 'Pandas TA' indicators to the dataframe by using groupby so that each stock's data is treated separately and also uses Pandas TA's built-in multiprocessing. I have a main backtesting file that calls this function to add indicators to the raw data (raw data is Open, High, Low, Close, Volume), but this code only returns a blank dataframe.

...

ANSWER

Answered 2021-Dec-23 at 23:52

Two options 1) using apply(), 2) iterating over groups. For my dataframe with just three symbols and shape df.shape (12096, 7), both methods took the same time using %%timeit - 3.4 seconds. You can do some testing on larger dataframes to see if one method is faster than other.

Option 1

Source https://stackoverflow.com/questions/70456986

QUESTION

Running 1000 functions gracefully using python multi-processing

Asked 2021-Feb-01 at 15:16

I'm trying to receive stock data for about 1000 stocks, to speed up the process I'm using multiprocessing, unfortunately due to the large amount of stock data I'm trying to receive python as a whole just crashes.

Is there a way to use multiprocessing without python crashing, I understand it would still take some time to do all of the 1000 stocks, but all I need is to do this process as fast as possible.

...

ANSWER

Answered 2021-Jan-31 at 19:18

Ok, here is one way to obtain what you want in about 2min. Some tickers are bad, that's why it crashes.

Here's the code. I use joblib for threading or multiprocess since it doesn't work in my env. But, that's the spirit.

Source https://stackoverflow.com/questions/65980910

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install xela

Right now, this is pretty sparse. A few things:.
The following environment variables must be set in Heroku; should look something like this:. Deploying to Heroku via Docker uses these commands (TODO).

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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