cronenberg | Simple cron command entry parser | Parser library

by ayrat555 Rust Version: Current License: MIT

X-Ray Key Features Code Snippets Community Discussions(5)Vulnerabilities Install Support

kandi X-RAY | cronenberg Summary

cronenberg is a Rust library typically used in Utilities, Parser applications. cronenberg has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

Simple cron command entry parser

Support

Quality

Security

License

Reuse

Support

cronenberg has a low active ecosystem.

It has 10 star(s) with 0 fork(s). There are 2 watchers for this library.

It had no major release in the last 6 months.

cronenberg has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of cronenberg is current.

Quality

cronenberg has no bugs reported.

Security

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

License

cronenberg 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

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

Installation instructions, examples and code snippets are available.

Top functions reviewed by kandi - BETA

kandi's functional review helps you automatically verify the functionalities of the libraries and avoid rework.
Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of cronenberg

Get all kandi verified functions for this library.

cronenberg Key Features

No Key Features are available at this moment for cronenberg.

cronenberg Examples and Code Snippets

No Code Snippets are available at this moment for cronenberg.

Community Discussions

Trending Discussions on cronenberg

iterating through a json file in python3

How to use awk to sum up fields based on other field

Why are my columns showing up as NaN when they are not empty?

Turn a geojson url to pandas (parsing)

Searching a .txt file line by line Haskell

QUESTION

iterating through a json file in python3

Asked 2019-Sep-27 at 18:39

I am learning how to parse through different files (xml, json, csv) and grabbing specific values in Python. However, I do not know how to go about writing code to find things such as which movie summary has the most characters or the total number of movies. I was wondering if somebody could please point me in the right direction or if there is a video that helps with grabbing info from a json file.

Here's the json file:

...

ANSWER

Answered 2019-Sep-27 at 18:39

There's a package called json. You can use that.

This is a good article on working with json data in python

Source https://stackoverflow.com/questions/58139854

QUESTION

How to use awk to sum up fields based on other field

Asked 2019-Aug-25 at 17:17

In my assessment I'm asked to write a shell script using only bash commands and another shell script using only SQL queries. These scripts should do the following: 1. Clean data in the .csv file (not important at the moment) 2. Sum up earnings based upon gender 3. Produce a simple HTML table

I have made the SQL query produce the correct numbers and HTML file, but with som help from other bash commands. For the file that should only contain bash commands I'm able to get the table but one of the numbers are wrong.

I'm very new to bash scripting and SQL queries so the code isn't very optimised.

The following is a shortned version of the sample input: CSV input

...

ANSWER

Answered 2019-Aug-25 at 17:17

#! /bin/bash

awk -F, '{
    if (NR != 1)
    {
        if (sum[$13] == "")
        {
            sum[$13]=0
        }
        sum[$13]+=$5
    }
}
END {
    print ""
    print "GenderTotal Amount [$]" 
    for ( gender in sum )
    {
        print ""gender"", ""sum[gender]""
    }
    print ""
}' table.csv

Source https://stackoverflow.com/questions/57635075

QUESTION

Why are my columns showing up as NaN when they are not empty?

Asked 2019-Apr-29 at 23:15

I am trying to use pandas to create a data frame from a .csv file I have downloaded. Every time I try to make a predictors data frame, it empties one of the columns I am looking for. I downloaded the .csv file from here: https://perso.telecom-paristech.fr/eagan/class/igr204/datasets It is the fourth file down titled "film.csv"

I have done this in the following way before with a different dataset and it worked flawlessly. This time my data is being deleted and I cannot figure out why.

...

ANSWER

Answered 2019-Apr-29 at 23:11

The issue is in this line predictors=pd.DataFrame(df.Director,df.Length)

TO create a new dataframe from old, use something like:

predictors=df[['Director', 'Length']].copy()

Source https://stackoverflow.com/questions/55911722

QUESTION

Turn a geojson url to pandas (parsing)

Asked 2019-Apr-09 at 09:59

I'm trying to turn a geojson file from URL to a dataframe (pandas). I've already read the file but, when I try to turn it into a dataframe, it's not as I expect.

...

ANSWER

Answered 2019-Apr-09 at 09:59

Might be a more efficient way, but this does the trick:

Source https://stackoverflow.com/questions/55583323

QUESTION

Searching a .txt file line by line Haskell

Asked 2018-Mar-15 at 12:14

I am new to Haskell, and I have created a function to allow a "user" to add a new film to a database (a text file called Films.txt).

...

ANSWER

Answered 2018-Mar-15 at 12:14

Using your own approach, scan the file looking for a name:

Source https://stackoverflow.com/questions/49256783

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

Vulnerabilities

No vulnerabilities reported

Install cronenberg

cronenberg is available on crates.io and can be included in your Cargo enabled project like this:.

Support

Fork it!Create your feature branch (git checkout -b my-new-feature)Commit your changes (git commit -am 'Add some feature')Push to the branch (git push origin my-new-feature)Create new Pull Request

Find more information at: