I’d really love a free YAML reader for mac to magically appear and make it’s way onto the app store, with a file association to the YAML file type. Imagine the feeling of ‘Oh sweet, I’m peeking behind the curtain, I can see my data, it’s readable and accessible’ when you user is poking through their Dropbox, finds the files to your. Download Yaml.NET Parser for free. A Yaml.NET parser implemented for a school project. The requirements of the project were to implement it in C# and release it as Open Source.

Im trying to install pyYAML from source on windows 10. I downloaded PyYAML 3.11 from https://pypi.python.org/pypi/PyYAML. When I run setup.py I get error: [WinError 2] The system cannot find the file specified. How to fix it?

Vadim KotovKamrul KhanKamrul Khan

4 Answers

1. Download the wheel from http://www.lfd.uci.edu/~gohlke/pythonlibs/#pyyaml that suits your need (Python version, 32/64 bit).

2. $ pip3 install PyYAML-3.11-cp35-none-win32.whl

You will need to install many dependencies to get a proper build environment setup in Windows.

To make your life easy, there are use the windows installers (the .exe files) that correspond to your version of Python (so if you have installed 32 bit Python on 64bit Windows, use the 32bit installers).

The installers are listed on the PyPi index page for PyYAML.

The only drawback is that these installers will not work correct in a virtual environment, so you'll have to install them against the base version of Python.

Burhan KhalidBurhan Khalid

E-reader For Mac

I install PyYAML following these steps:

1. clone or download https://github.com/yaml/pyyaml
2. open cmd and cd to the downloaded path
3. execute python setup.py install as README in the repo says

yu yang Jianyu yang Jian

Download suitable(Python version, 32/64 bit) .exe file from http://pyyaml.org/wiki/PyYAML, then double click it to install PyYAML to your Windows 10 PC following the wizard window.

Not the answer you're looking for? Browse other questions tagged pythonwindowspyyaml or ask your own question.

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Python Yaml Reader

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#!/usr/bin/python

#########################################################################

# #

# This script is meant to convert the csv file containg the OSX/iOS #

# artifacts into a yaml artifact page #

# #

# Author: Pasquale Stirparo (@pstirparo) #

# #

# This work is licensed under the GNU General Public licensed #

# #

#########################################################################

import sys

import os

import csv

import argparse

from datetime import date

__author__ ='@pstirparo'

__version__='0.2'

__location__ ='https://github.com/pstirparo/mac4n6'

__ref1__ ='http://forensicswiki.org/wiki/Mac_OS_X'

__ref2__ ='http://forensicswiki.org/wiki/Mac_OS_X_10.9_-_Artifacts_Location'

flag_openrow =False

defwrite_artifact(artifact, yamlF):

yamlF.write('name: '+ artifact['name'] +'n')

yamlF.write('doc: '+ artifact['doc'] +'n')

yamlF.write('sources:n')

yamlF.write('- type: FILEn')

#yamlF.write(' attributes:n')

tmp = artifact['paths'].split(',')

ifint(len(tmp)) >1:

yamlF.write(' attributes:n')

yamlF.write(' paths: n')

for path in tmp:

yamlF.write(' - ''+ path +''n')

else:

yamlF.write(' attributes: ')

yamlF.write('{paths: [''+ artifact['paths'] +'']}n')

yamlF.write('labels: ['+ artifact['labels'] +']n')

yamlF.write('supported_os: [Darwin]n')

ifint(len(artifact['urls'])) >0:

yamlF.write('urls: [''+ artifact['urls'] +'']n')

yamlF.write('---n')

defmain():

global flag_openrow

artifact = {}

artifacts_counter, locations_counter =0, 0

parser = argparse.ArgumentParser()

parser.add_argument('-i', '--input', dest='csv_input', default=False, help='CSV Artifacts file to be converted into YAML', metavar='')

iflen(sys.argv) 1:

parser.print_help()

sys.exit(1)

try:

args = parser.parse_args()

except:

parser.print_help()

sys.exit(0)

csv_file = args.csv_input

yaml_file = os.path.splitext(csv_file)[0] +'.yaml'

withopen(yaml_file, 'w+') as yamlF:

yamlF.write('# Mac OS X (Darwin) specific artifacts.n')

yamlF.write('# mac4n6: '+ __location__ +'n')

yamlF.write('# Reference: '+ __ref1__ +'n')

yamlF.write('# Reference: '+ __ref2__ +'n')

yamlF.write('# Last update: '+ date.today().isoformat() +'nn')

withopen(csv_file, 'rU') asfile:

reader = csv.reader(file, delimiter=',')

#skip the first 3 lines of the csv file

for i inrange(3):

next(reader)

for row in reader:

iflen(row) >0:

ifint(len(row[0])) >1andint(len(row[1])) >1:

#Check if current row is the intermediate section header and skip

if row[0] 'Artifact'and row[1] 'Name':

continue

if flag_openrow True:

write_artifact(artifact, yamlF)

flag_openrow =False

artifact['name'] = row[1]

artifact['doc'] = row[0]

artifact['paths'] = row[3]

artifact['labels'] = row[2]

artifact['urls'] = row[5]

flag_openrow =True

artifacts_counter+=1

locations_counter+=1

elifint(len(row[0])) 1:

artifact['paths'] = artifact['paths'] +','+ row[3]

locations_counter+=1

if flag_openrow True:

write_artifact(artifact, yamlF)

yamlF.write('# Total Artifacts: '+str(artifacts_counter) +'n')

yamlF.write('# Total Locations: '+str(locations_counter) +'n')

if__name__'__main__':

main()

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