python-support | User Language Support for Python | Download Utils library

by cloudstateio Python Version: v0.1.1 License: Apache-2.0

X-Ray Key Features Code Snippets(1)Community Discussions(4)Vulnerabilities Install Support

kandi X-RAY | python-support Summary

python-support is a Python library typically used in Utilities, Download Utils applications. python-support has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can install using 'pip install python-support' or download it from GitHub, PyPI.

User Language Support for Python

Support

Quality

Security

License

Reuse

Support

python-support has a low active ecosystem.

It has 7 star(s) with 6 fork(s). There are 7 watchers for this library.

It had no major release in the last 12 months.

There are 9 open issues and 11 have been closed. On average issues are closed in 24 days. There are 2 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of python-support is v0.1.1

Quality

python-support has 0 bugs and 75 code smells.

Security

python-support has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

python-support code analysis shows 0 unresolved vulnerabilities.

There are 1 security hotspots that need review.

License

python-support is licensed under the Apache-2.0 License. This license is Permissive.

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

Reuse

python-support releases are available to install and integrate.

Deployable package is available in PyPI.

Build file is available. You can build the component from source.

Installation instructions are not available. Examples and code snippets are available.

It has 3045 lines of code, 96 functions and 24 files.

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

Top functions reviewed by kandi - BETA

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

Returns an EventSource instance for a given request
Create a ClientAction from the result
Invokes the given function
Parses a command payload
Pack an event
Add an error message
Return True if there are errors
Handles a stream in the stream
Handle a stream in
Handle a streamed request
Handle a stream
Dispatch a stream out of a stream
Handle a stream out
Handle a unary action
Handle a single command

Get all kandi verified functions for this library.

python-support Key Features

No Key Features are available at this moment for python-support.

python-support Examples and Code Snippets

Convert a path to a string .

python

Lines of Code : 19

License : Non-SPDX (Apache License 2.0)

Copy

def path_to_string(path):
  """Convert `PathLike` objects to their string representation.

  If given a non-string typed path object, converts it to its string
  representation.

  If the object passed to `path` is not among the above, then it is
  r

Community Discussions

Trending Discussions on python-support

UnicodeDecodeError: 'utf-8' codec can't decode byte 0xff in position 0 when deploying to Heroku

Querying data frames in Python/Pandas when columns are optional or missing

Python - print and return in for loops

Can I improve performance when using Python gRPC client stubs in more threads?

QUESTION

UnicodeDecodeError: 'utf-8' codec can't decode byte 0xff in position 0 when deploying to Heroku

Asked 2022-Mar-07 at 01:00

I tried to deploy my simple django project on heroku, but i couldn't understand how to solve this problem

This is the git push heroku master

...

ANSWER

Answered 2022-Feb-13 at 15:57

That entire traceback is inside these parentheses: () is not available for this stack. That is the message shown when you request a Python runtime that isn't available. In this case, it looks like your runtime.txt can't even be read due to an unexpected encoding.

Delete it, then create a new file containing something like

Source https://stackoverflow.com/questions/71095069

QUESTION

Querying data frames in Python/Pandas when columns are optional or missing

Asked 2021-Oct-29 at 14:49

I'm developing a script in Python/Pandas to compare the contents of two dataframes.

Both dataframes contain any combination of columns from a fixed list, for instance:

...

ANSWER

Answered 2021-Oct-29 at 14:49

Try this way Get 1st dataframe. And merge it with 2nd
Example

Merged_df1=df1.merge(df2,how=''outer", on=["Case Name"])
Merged_df2=df1.merge(df2,how=''outer", on=["MAC"]) Append these 2 data frames appended_df=Merged_df1.append(Merged_df2)

Then drop duplicates

appended_df .drop_duplicates(subset["Case Name", "MAC", "Machine Name", "OS", "Exec Time", "RSS"])

Note: in duplicates write all column names, that are present in appended_df

Source https://stackoverflow.com/questions/69770425

QUESTION

Python - print and return in for loops

Asked 2021-May-31 at 09:37

I've just started learning Python. I saw an interesting code from here that the author used to explain short-circuiting. The code is as follows:

...

ANSWER

Answered 2021-May-31 at 09:22

Try doing

Source https://stackoverflow.com/questions/67771028

QUESTION

Can I improve performance when using Python gRPC client stubs in more threads?

Asked 2020-Aug-25 at 16:37

Lets say I have a Python gRPC server and a corresponding client.

According to this Question the same gRPC channel can be utilized to be passed to client stubs, each running in different threads.

Lets say RPC function foo() is called from thread T1 and the response takes about one second. Can I call foo() from thread T2 in the meantime, while T1 is still waiting for the response in thread or is the channel somehow locked until the first call returns? In other words: Is performance gained by using more threads, because the corresponding server is based on a thread pool and able to handle more requests "in parallel" and, if yes, should I use the same channel or different channels per thread?

EDIT: According to a quick test it seems that parallel requests using the same channel from different threads are possible and it gives sense, to do it in such way. However, because before closing the question, I would like to see a confirmation from an expert whether this code is correct:

...

ANSWER

Answered 2020-Aug-25 at 16:37

gRPC uses HTTP/2 and can multiplex many requests on one connection and gRPC client connections should be re-used for the lifetime of the client app.

If you are inspired by what is done when working with databases, I would say you don't need to worry about it as the opening connection overhead doesn't exist when working with gRPC.

Source https://stackoverflow.com/questions/63473794

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

Vulnerabilities

No vulnerabilities reported

Install python-support

You can install using 'pip install python-support' or download it from GitHub, PyPI.
You can use python-support like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.