PythonPi | Python Module and Script to get the value of Pi

by geekpradd Python Version: 1.0.2 License: No License

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kandi X-RAY | PythonPi Summary

PythonPi is a Python library. PythonPi has no bugs, it has no vulnerabilities, it has build file available and it has low support. You can install using 'pip install PythonPi' or download it from GitHub, PyPI.

Get the Value of Pi upto n decimal digits using this Python Script. Uses the chudnovsky algorithm implemented using the Pyton Decimal Data Type.

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PythonPi has a low active ecosystem.

It has 12 star(s) with 40 fork(s). There are 2 watchers for this library.

It had no major release in the last 12 months.

There are 1 open issues and 0 have been closed. On average issues are closed in 88 days. There are 1 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of PythonPi is 1.0.2

Quality

PythonPi has 0 bugs and 0 code smells.

Security

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

PythonPi code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

PythonPi does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

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PythonPi 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 65 lines of code, 4 functions and 2 files.

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

Top functions reviewed by kandi - BETA

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

Get the value of the Pi Calculator
Calculate the iteration value
Get the value of the Pi
Return the factorial of n

Get all kandi verified functions for this library.

PythonPi Key Features

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PythonPi Examples and Code Snippets

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Community Discussions

Trending Discussions on PythonPi

Long execution time when running PySpark-SQL on hadoop cluster?

Multiple Python workers (or worker threads) in PySpark?

QUESTION

Long execution time when running PySpark-SQL on hadoop cluster?

Asked 2019-Apr-24 at 20:26

I have a data set of weather data and I am trying to query it to get average lows and average highs for each year. I have no problem submitting the job and getting the desired result but it is taking hours to run. I thought it would run much faster, Am I doing something wrong or is it just not as fast as I'm thinking it should be?

The data is a csv file with over 100,000,000 entries. THe columns are date, weather station, measurement(TMAX or TMIN), and value

I am running the job on my university's hadoop cluster, I don't have much more information than that about the cluster.

Thanks in advance!

...

ANSWER

Answered 2019-Apr-24 at 20:26

Make sure that spark job in fact started in cluster (and not local) mode. e.g. If you're using yarn, then job is launched in 'yarn-client' mode.

If that's true, then make sure you've provided enough #executors/cores/ executor and driver memory. You can get the actual cluster/job information from either the resource manager (e.g. yarn) page or from spark context (sqlContext.getAllConfs).

100Mil records is not that small. Let's say each record is 30 bytes, still the overall size is 3gb and that can take a while if you only have a handful of executors.

Let's say that the above suggestions do not help, then try to find out which part of the query is taking long. Few speed up tips are:

Cache the weather dataframe
Break the query into 2 parts: 1st part does group by, and output is cached
2nd part does order by
instead of coalesce, write the rdd with default shards and then do a mergeFrom to get your csv output from shell.

Source https://stackoverflow.com/questions/55837059

QUESTION

Multiple Python workers (or worker threads) in PySpark?

Asked 2018-Feb-05 at 16:22

In PySpark, I understand that python workers are used to perform (atleast some) of the computation on the worker nodes (as described at https://cwiki.apache.org/confluence/display/SPARK/PySpark+Internals).

In my test setup, I'm trying to get Spark to use 4 worker threads (on a standalone machine), but it seems like only 1 python worker is created:

...

ANSWER

Answered 2018-Feb-05 at 16:22

Your mistake is to believe that PySpark uses threading. It does not. It uses processes and thread ids in general, are unique only within a process (and can be reused).

So your code should be:

Source https://stackoverflow.com/questions/48623451

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

Vulnerabilities

No vulnerabilities reported

Install PythonPi

You can install using 'pip install PythonPi' or download it from GitHub, PyPI.
You can use PythonPi 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.

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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