pyzip | Python ZIP module for simple zip
kandi X-RAY | pyzip Summary
kandi X-RAY | pyzip Summary
Python ZIP module for simple zip/unzip of custom elements on the fly. It is interfaced as a Dict for ease of use.
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Top functions reviewed by kandi - BETA
- Return the size of the content
- Cache the content of the zip file
- Flatten a nested dictionary
- Return the content of the file
- Flatten a dictionary
- Return an iterator over the content of the zip content
- Return the content of the README rst file
pyzip Key Features
pyzip Examples and Code Snippets
Community Discussions
Trending Discussions on pyzip
QUESTION
I'm a returning C++ programmer who has been away from the language for several years (C++11 had just started gaining real traction when I was last active in the language). I've been actively developing data science apps in Python for the past few. As a learning exercise to get back up to speed I decided to implement Python's zip() function in C++14 and now have a working function that can take any two STL (and a few others) containers holding any types and "zip" them into a vector of tuples:
...ANSWER
Answered 2020-Oct-14 at 05:35Variadic templates have a mechanism not too dissimilar to Python's ability to pass a function positional arguments and to then expand those positional arguments into a sequence of values. C++'s mechanism is a bit more powerful and more pattern based.
So let's take it from the top. You want to take an arbitrary series of ranges (containers is too limiting):
QUESTION
Normally we do a spark-submit with the zip file spark-submit --name App_Name --master yarn --deploy-mode cluster --archives //myzip.zip#pyzip //Processfile.py
and access them in the py files using from dir1.dir2.dir3.module_name import module_name and the module import works fine.
When I try to do the same in pyspark shell, it gives me a module not found error. pyspark --py-files //myzip.zip#pyzip
How can the modules be accessed in the spark shell.
...ANSWER
Answered 2020-Jan-02 at 14:26You can use the spark context available in the pyspark shell under 'spark' Spark session variable as follows
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install pyzip
You can use pyzip 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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