backports.csv | Backport of Python 3 's csv module for Python | CSV Processing library

 by   ryanhiebert Python Version: 1.0.7 License: Non-SPDX

kandi X-RAY | backports.csv Summary

kandi X-RAY | backports.csv Summary

backports.csv is a Python library typically used in Utilities, CSV Processing applications. backports.csv has no bugs, it has no vulnerabilities, it has build file available and it has low support. However backports.csv has a Non-SPDX License. You can install using 'pip install backports.csv' or download it from GitHub, PyPI.

Backport of Python 3's csv module for Python 2
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            kandi-support Support

              backports.csv has a low active ecosystem.
              It has 59 star(s) with 9 fork(s). There are 2 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 2 open issues and 18 have been closed. On average issues are closed in 14 days. There are 3 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of backports.csv is 1.0.7

            kandi-Quality Quality

              backports.csv has 0 bugs and 0 code smells.

            kandi-Security Security

              backports.csv has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              backports.csv code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              backports.csv has a Non-SPDX License.
              Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

            kandi-Reuse Reuse

              backports.csv releases are not available. You will need to build from source code and install.
              Deployable package is available in PyPI.
              Build file is available. You can build the component from source.
              It has 1680 lines of code, 184 functions and 4 files.
              It has medium code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed backports.csv and discovered the below as its top functions. This is intended to give you an instant insight into backports.csv implemented functionality, and help decide if they suit your requirements.
            • Create dialect
            • Get a dialect by name
            • Validate text attribute
            • Validate dialect
            • Create a new dialect
            • Return default values
            • Parse a single quote character
            • Parse save field
            • Parse character
            • Parse a start record
            • Parse a start field
            • Parse whitespace after escape
            • Parse a character
            • Register a dialect
            • Parse a single character
            • Parse an escaped character
            • Parse an escape character
            Get all kandi verified functions for this library.

            backports.csv Key Features

            No Key Features are available at this moment for backports.csv.

            backports.csv Examples and Code Snippets

            No Code Snippets are available at this moment for backports.csv.

            Community Discussions

            QUESTION

            Why does Heroku has to install so many modules every time?
            Asked 2020-Apr-20 at 09:16

            I am developing an app in Django and I am deploying it on Heroku.

            Why does, with each push, Heroku has to install all these modules?

            I know there is a way to prevent it from doing it all the times, because when I was deploying another app I somehow disabled it, but I can't remember how to do it.

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https://files.pythonhosted.org/packages/b0/16/63576a1a001752e34bf8ea62e367997530dc553b689356b9879339cf45a4/xlrd-1.2.0-py2.py3-none-any.whl (103kB) remote: Collecting xlwt==1.3.0 (from -r /tmp/build_766c0cb2a662d94bf7b1c2a8ad2a3cd4/requirements.txt (line 52)) remote: Downloading https://files.pythonhosted.org/packages/44/48/def306413b25c3d01753603b1a222a011b8621aed27cd7f89cbc27e6b0f4/xlwt-1.3.0-py2.py3-none-any.whl (99kB) remote: Collecting pexpect; sys_platform != "win32" (from ipython==7.9.0->-r /tmp/build_766c0cb2a662d94bf7b1c2a8ad2a3cd4/requirements.txt (line 20)) remote: Downloading https://files.pythonhosted.org/packages/39/7b/88dbb785881c28a102619d46423cb853b46dbccc70d3ac362d99773a78ce/pexpect-4.8.0-py2.py3-none-any.whl (59kB) remote: Collecting ptyprocess>=0.5 (from pexpect; sys_platform != "win32"->ipython==7.9.0->-r /tmp/build_766c0cb2a662d94bf7b1c2a8ad2a3cd4/requirements.txt (line 20)) remote: Downloading 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            Running setup.py install for openpyxl: started remote:
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            ...

            ANSWER

            Answered 2020-Apr-13 at 17:51

            I think I solved it:

            One must do all the steps listed here, especially:

            In your project main folder add a folder named staticfiles, and inside this folder add a file named init.py and leave it blank.

            Then in your settings.py add:

            STATICSTORAGE = "Whitenoise.storage.CompressedManifestStaticFilesStorage" Again in settings.py, inside MIDDLEWARE, add:

            'whitenoise.middleware.WhiteNoiseMiddleware',

            Source https://stackoverflow.com/questions/60056542

            QUESTION

            Unable to install Pattern Package (OS Bash Terminal)
            Asked 2020-Jan-06 at 12:24

            I am unable to install the Pattern package. Please kindly offer help!!

            ...

            ANSWER

            Answered 2020-Jan-06 at 12:06

            Pattern supports Python 2.7 and Python 3.6. Kindly refer https://github.com/clips/pattern#pattern. This worked for me to get pattern.en working in python 3.6:

            Source https://stackoverflow.com/questions/59610832

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            You can use backports.csv 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.

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