Saravanan666/pypi-org huggingface dataset:
Package: jobpy
JobpyWelcome to jobpy!Explore the docs »·Report Bug·Request FeatureJobpyWhat is Jobpy?Jobpy is a library built with Python to pull job postings from all over the internet.
The idea behind is was to analyze the different characteristics of the job posting, like
skills required, experience, etc. It can also be used to apply to the search jobs although
the fetaure has not been released yet.Look how easy it is to use:[In]: from jobpy.search import cb_job_search as cb
   [In]: jobs_in_la = cb.start_search('software developer', 'Los Angeles')
   [In]: print(jobs_la)
   
   [Out]: 'software_developer_job_los_angeles.csv'Table of ContentsFeaturesInstallationFAQSContributingSupportDocsLicenseFeaturesEasy Job SearchGreat PerformanceExport to CSV or MD TableOrganized dataFile converter supportApply to jobs easilyInstallationAt the command line:pip install jobpyFAQSHow do we performed the search.I used Scrapy, BeautifulSoup to perform the search.How often does jopby gets updated?I am currently releasing weekly updates.NOTE: I'm currently a full time employee and part time student so I spend the rest ofvmy free time coding to expand my knowledge. Help is always appreciated.Will this become something more?I would like this to become an Open Source website that could help developers like me find their dream job.ContributingTo get started...Issue Tracker:Source Code:Step 1Option 1🍴 Fork this repo!Option 2👯 Clone this repo to your local machine usingStep 2HACK AWAY!🔨🔨🔨Step 3🔃 Create a new pull request using.DocumentationRead the documentation athttps://jobpy.readthedocs.io/en/latest/SupportIf you are having issues, please let us know.
We have a mailing list located at:fabian.rodrez@gmail.comIt's easier to reach me on Twitter @Rodrez_LicenseThe project is licensed under the MIT license.
Package: jobqueues
JobQueuesUnified interface for submitting jobs to various queueing systems.InstallTo get the latest PyPI release use:pipinstalljobqueuesOr if you want the latest github version:pipinstallgit+https://github.com/acellera/jobqueuesor clone the git and install manually withgitclonehttps://github.com/acellera/jobqueuescdjobqueues
pipinstall.
Package: jobrunner
An abstraction layer to run jobs on HPC clusters using Grid Engine, SLURM, Torque, or locally.The jobrunner package was developed by the United States Food
and Drug Administration, Center for Food Safety and Applied Nutrition.Free softwareDocumentation:https://jobrunner.readthedocs.ioSource Code:https://github.com/CFSAN-Biostatistics/jobrunnerPyPI Distribution:https://pypi.python.org/pypi/jobrunnerFeaturesPython API for job submissionConsistent interface to run jobs on Grid Engine, SLURM, Torque, or locallyDependencies between jobsArray jobs and normal non-array jobsArray job parameter substitutionArray job slot-dependencyLimit the CPU resources consumed by array jobsSeparate log files for each array job taskCiting jobrunnerTo cite jobrunner, please reference the jobrunner GitHub repository:https://github.com/CFSAN-Biostatistics/jobrunnerLicenseSee the LICENSE file included in the jobrunner distribution.History1.4.0 (2020-08-21)Add support for wall clock time limits.1.3.1 (2020-08-12)Allow array tasks in local mode to process only a portion of the lines in the array file
by settingnum_tasksto a value less than the number of lines in the array file.1.3.0 (2020-04-12)Add support for the SLURM job scheduler.Add capability to request exclusive access to compute nodes when running on SLURM.1.2.0 (2019-10-11)Add the capability to run in quiet mode when running locally on a workstation
so the job stdout and stderr are written to log files only.1.1.0 (2019-06-07)HPC array job command lines are quoted and executed in a subshell by default with better support for complex command lines.1.0.0 (2018-12-03)First public release.
Package: job-runner-ws-server
The WebSocket Server for the Job-Runner is a broadcaster for incoming events
published by the Job-Runner Workers. It’s purpose is to collect events from
all available Job-Runner Workers and distribute these events to all the
connected WebSocket clients.InstallationDeployarThis package is asjob-runner-ws-serveravailable in Deployar.From sourceIf you are running the code from source, make sure you have the following
requirements installed:python-develgccgcc-c++libevent-develThen install the Python requirements withpip install-rrequirements.txt.UsageThe usage of thejob_runner_ws_serverexecutable is:usage: job_runner_ws_server [-h] [--events-port EVENTS_PORT]
                            [--ws-port WS_PORT]
                            [--log-level {debug,info,warning,error}]

Job-Runner WebSocket Server

optional arguments:
  -h, --help            show this help message and exit
  --events-port EVENTS_PORT
                        The port to receive (worker) events on (default: 5555)
  --ws-port WS_PORT     The port for the WebSocket server (default: 5000)
  --log-level {debug,info,warning,error}
                        The log-level for logging (default: info)Changesv1.0.0Deployar related changes.v0.5.0Initial release.
Package: job-scheduler
SchedulerSimple scheduler moduleInstallationOnly tested on Python 3.XFrom source:$ python setup.py installFor production:$ pip install job-schedulerUsagefromdatetimeimportdatetimefromdatetimeimporttimedeltafromhaydn.schedulerimportSfromhaydn.event_emitterimportEventEmitterimportlogginglogging.basicConfig(level=logging.DEBUG)classExample(EventEmitter):def__init__(self):self.schedule_manager=Scheduler(timer_interval=1)defmain(self):schedule_time=ScheduleTime(start_datetime=datetime.utcnow()+timedelta(seconds=2),end_datetime=datetime.utcnow()+timedelta(seconds=100),repeat=ScheduleTime.REPEAT_SECOND,repeat_interval=5,repeat_limit=5)schedule=Schedule(schedule_time,self.do_something,task_params=[1],reference_id=1)self.schedule_manager.add_schedule(schedule)self.schedule_manager.start()defdo_something(self,p1):print("doing task")print("task parameter: ",p1)example=Example()example.main()
Package: jobscraper
jobscraper--------Jobscraper scrapes and returns matching jobs from major Job portals as a dictionary.[![Travis Build](https://travis-ci.org/sijanonly/jobscraper.svg)](https://travis-ci.org/sijanonly/jobscraper)>>> pip install jobscraperTo use, simply do::>>> from jobscraper import scrape>>> jobs = scrape('python')
Package: jobsdone
jobsdone (jd)[Click this for a surprise ☝️]JobsDone is a simple unix filter command to alert you when a job's done.Jobs done usesHyperLinkto send you a push notification with a customizable message when your job finishes.InstallationUse pip (and Python 3) you lout.$ pip3 install jobsdoneHow to use itInstall and openHyperLinkand copy your key. Run:$ jd --key YOUR_KEY_HERERun jobs, commands, whatever, and pipe the output tojd.$ sleep 3 | echo "3 seconds have passed" | jdOr you can ignore the pipe output and send a custom message$ sleep 1 | echo "1 second passed" | jd "YO! One second passed ⏱️"That's it. There is no step 3. Go outside.
Package: job-seeker
Job Seekerjob_seeker is an utility to download data of a job search from seek.com.au into a csv file for data analysis and explorationInstall using pippipinstalljob-seekerSetting up to install from sourcedownload the packagegitclonehttps://github.com/pedrojunqueira/job-seeker.gitgo to directory job-seeker on root pathcdjob-seekerinstall from sourcemake sure you are on the root directory i.e. the directory where the setup.py file is locatedthen to install just do apip install ..
├──LICENSE
├──README.md
├──example
│├──job_seeker_usage.py
│└──my_job_search.csv
├──job_seeker
│├──__init__.py
│└──downloader.py
├──pyproject.toml
├──setup.py
└──tests├──conftest.py├──data│└──response.json└──test_downloader.pyCode example usagefromjob_seeker.downloaderimportJobSeeker# set parametersparameters={"where":"All Adelaide SA","keywords":"data analyst",}#instantiate the JobSeeker classjs=JobSeeker(params=parameters)df=js.jobs_df# df is a pandas.DataFrame object# to print DataFrame headprint(df.head())# to save as a csv in the current directory. See example on the ./example folderdf.to_csv("my_job_search.csv")terminal outputpage    job_id                         title  ...                       companyName                       company_advertiser
0     1  54150559                  Data Analyst  ...        Relationships Australia SA  Relationships Australia South Australia
1     1  54111544              Business Analyst  ...                    Robert Walters                           Robert Walters
2     1  54153618                  Data Analyst  ...                 Stoller Australia                        Stoller Australia
3     1  54150559                  Data Analyst  ...        Relationships Australia SA  Relationships Australia South Australia
4     1  54120381  Performance Insights Analyst  ...  Australian Institute of Business         Australian Institute of Business
Package: job-shop-cp-env
A Constraint Programming Based Job-Shop Scheduling EnvironmentThis is a Constraint Programming (CP) based Job-Shop Scheduling (JSS) Environment that can be combined with Reinforcement-Learning (RL) to train an agent to solve a scheduling problem.
Compared to other environments, this CP based one is made to be fast and scalable.
If you install it usingsetup.py, it will automatically compile using MyPyC.
Also, this environment has been developed for an end-to-end approach, there is no pre-defined reward function and the observation are simply the rawIntervalVariablerepresentation.
We recommend the reader to check the paper for more information.If you need to define a reward function or a different observation, you can do so by forking the environment and modifying thestepfunction.Installationpipinstalljss_cp
Package: jobslib
Jobslibis a library for launching Python tasks in parallel environment.
Our use-case is. We have two datacenters (in near future three datacenters),
in each datacenter is run server with some task. However only one task may
be active at one time across all datacenters.Jobslibsolves this problem.Main features are:Ancestor for class which holds configuration.Ancestor for container for shared resources, e.g. database connection.Ancestor for class with task.Configurable either from configuration file or from environmet variables.Liveness – mechanism for exporting informations about health state of
the task. Jobslib includes implementation which usesConsul.Metrics – mechanism for exporting metrics. Jobslib includes implementation
which usesInfluxDB.One Instance Lock – lock, which allowes only one running instance at the
same time. Jobslib includes implementation which usesConsul.InstallationInstallation from source code:$ git clone https://github.com/seznam/jobslib.git
$ cd jobslib
$ python setup.py installInstallation from PyPi:$ pip install jobslibToxis used for testing:$ git clone https://github.com/seznam/jobslib.git
$ cd jobslib
$ pip install tox
$ tox --skip-missing-interpretersUsageTask is launched from command line usingrunjobcommand:$ runjob [-s SETTINGS] [--disable-one-instance] [--run-once]
         [--sleep-interval SLEEP_INTERVAL] [--run-interval RUN_INTERVAL]
         [--keep-lock] [--release-on-error]
         task_cls

# Pass settings module using -s argument
$ runjob -s myapp.settings myapp.task.HelloWorldTask --run-once

# Pass settings module using environment variable
$ export JOBSLIB_SETTINGS_MODULE="myapp.settings"
$ runjob myapp.task.HelloWorldTask --run-onceIf you want to write your own task, inheritBaseTaskclass and overrideBaseTask.task()method. According to your requirements inherit and
overrideConfigand/orContextand setsettingsmodule.class HelloWorldTask(BaseTask):

    name = 'helloworld'
    description = 'prints hello world'

    def task(self):
        sys.stdout.write('Hello World!\n')
        sys.stdout.flush()License3-clause BSDDocumentationhttps://seznam.github.io/jobslib/
Package: jobspider
jobspider-----jobspider can crawl several websites,we can get any data using some keywordJobspider is Useful````````````Save in a hello.py:.. code:: pythonfrom jobpiser import Spiderif __name__ == "__main__":spider = Spider('python')spider.single_run('lagou')And Easy to Setup`````````````````And run it:.. code:: bash$ pip install jobspider$ python hello.pyLinks`````* `development version<https://github.com/haipersist/jobspider>`_
Package: jobspire-nitra
How to implement# establish connection with jobspirenitra=Nitra(username='username',secret='secret password',base_url='http://full_jobspire_url.dk/nitra',ensure_connected=True)# usage:nitra.get_job_areas()nitra.insert_job_postings(List[dict])nitra.insert_job_posting_skills(List[dict])nitra.delete_job_postings_by_source_id(source_ids:List[str])nitra.delete_job_postings_by_uuid(ids:List[str])nitra.update_job_postings(patches_with_id:List[dict])nitra.delete_job_posting_skills(job_posting_ids:List[str])nitra.ping()nitra.get_statistics()nitra.get_contract_types()nitra.get_esco_codes()nitra.add_company_esco_matches(company_esco_matches:List[dict])DevelopmentTo build:python3-mbuildTo release:./release.sh
Package: jobs-scraper
jobs_scraperjobs_scraperis a simple job postings scraper for the websiteIndeed, it is written in Python and is based on therequestsandBeautifulSouplibraries.InstallationRun the following to install the package:pipinstalljobs_scraperUsageTo use jobs_scraper you need to create a new JobsScraper object and provide the following attributes to its constructor:country: prefix country.position: job position.location: job location.pages: number of pages to be scraped.fromjobs_scraperimportJobsScraper# Let's create a new JobsScraper object and perform the scraping for a given query.scraper=JobsScraper(country="nl",position="Data Engineer",location="Amsterdam",pages=3)df=scraper.scrape()In this way, the first three pages for the example query "Data Engineer" based in "Amsterdam" on the Dutch version of the portal Indeed get scraped.
Thescrapemethod returns a Pandas dataframe, therefore it is possible to export it into a csv file.Additional Parametersmax_delay: bearing in mind that this package is meant only for educational purposes, a delay in the requests can be provided.
By settingmax_delayin the constructor, every job posting will be randomly scraped in an interval between0andmax_delayseconds.scraper=JobsScraper(country="...",position="...",location="...",pages=...,max_delay=5)full_urls: since most of the scraped job urls are pretty long, the returned Pandas dataframe will truncate them, making it not simple to access. Settingfull_urlstoTrue, the scraped urls will not be truncated.scraper=JobsScraper(country="...",position="...",location="...",pages=...,full_urls=True)TODOAdd rotating proxies to prevent the scraper from being blocked once too many requests are sent.
Package: jobs-supervisor
IntroductionA tool to supervise jobs status via Feishu bot messages.Currently supportted job states are : 'fail', 'complete', 'unavailable', 'cancel', 'running', 'pending'. If your job does not belong to those states, the reportted status will be 'unknown'.Once you init a supervisor, it will be stopped if all its jobs are one of ['fail', 'complete', 'unavailable', 'cancel', 'unknown'], and will report all its jobs' status to you via your Feishu bot.Setup GuideGet webhook from your Feishu Bot.Export and set webhook 'JOBS_SUPERVISOR_WEBHOOK' in your ~/.basrc. For example:export JOBS_SUPERVISOR_WEBHOOK=https://open.feishu.cn/your-webhookExport and set the directory 'JOBS_SUPERVISOR_LOGDIR' to save your sbatch output in your ~/.basrc. For example:export JOBS_SUPERVISOR_LOGDIR=path_to_log_filesRunsource ~/.basrc(Optional) Create an enviornment for the tools byconda create -n env_tools python=3.8Activate your enviornment byconda activate env_toolsInstall this python package in the enviornment bypip3 install -i https://pypi.org/project/ jobs-supervisor==0.3.11UsageAssume 'jobid_start' and 'jobid_end' are int.Activate your enviornment byconda activate env_toolsIn terminal:supervise_jobs jobid_start jobid_endYou can runsupervise_jobs --helpfor more configs. By default,it will skip to report 'unavailable' jobs (jobs that you cannot get status). Set the option--show_unavailableto report unavailable jobs.it will only report once all jobs are stopped. If you want to report every time a job stops, set the option--show_intermedia
Package: jobsubmitter
# Job Submitter[![conda](https://img.shields.io/conda/dn/ostrokach/jobsubmitter.svg)](https://anaconda.org/ostrokach/jobsubmitter/)[![docs](https://img.shields.io/badge/docs-v0.1.0-blue.svg)](https://ostrokach.gitlab.io/jobsubmitter/)[![build status](https://gitlab.com/ostrokach/jobsubmitter/badges/master/build.svg)](https://gitlab.com/ostrokach/jobsubmitter/commits/master/)[![coverage report](https://gitlab.com/ostrokach/jobsubmitter/badges/master/coverage.svg)](https://gitlab.com/ostrokach/jobsubmitter/commits/master/)Package for running jobs on Sun Grid Engine (SGE) / PBS / Slurm clusters.## Goals- Provide an easy way to submit batch jobs from within a Jupyter notebook running on one of the nodes in the cluster.## Example```pythonfrom jobsubmitter import JobOpts, JobSubmitterJOB_ID = 'job_0'ENV = {'PATH': '/home/kimlab1/strokach/anaconda/bin:/usr/local/bin:/usr/bin:/bin','OMP_NUM_THREADS': '1',}jo = jobsubmitter.JobOpts(job_id=JOB_ID,working_dir=Path.cwd(),nproc=1,queue='medium',walltime='24:00:00',mem='16G',env=ENV,)js = jobsubmitter.JobSubmitter('localhost')futures = js.submit(system_commands, jo, deplay=0.1)```## Contributing- Make sure all tests pass before merging into master.- Follow the PEP8 / PyFlake / Flake8 / etc. guidelines.- Add tests for new code.- Try to document things.- Break any / all of the above if you have a good reason.# History## 0.0.2 (2018-02-21)* First release on PyPI.
Package: jobsworthy
JobsworthA set of utility functions and classes to aid in build Spark jobs on the Azure Databricks Platform.Spark JobSpark JobJob ConfigurationUtil ModuleSecretsSpark SessionModel ModuleThe Model ModuleRepository ModuleDatabase and TableStructure ModuleThe Structure module provides functions for building a more abstract definition of a Hive table schema and abstractions
for creating table, column and cell data which can be provided as the data argument when creating a dataframe.Generating Table Schemas from PUML Models Model GenerationTurning the output of a dataframe printSchema command into a PUML class diagramTable Schema Definition
Package: jobtastic-mixins
JobtasticMixins===============## Package includes:#### AVGTimeRedis classThe class that helps automate calculate an avarage timefor different kind tasks and saves result into Redis DB## InstallInstall from Github```pip install https://github.com/abbasovalex/JobtasticMixins/archive/master.zip```## Usage1. You must will add the mixin class as first argument2. You should set ```default_avg_time``` in the seconds3. You must use ```self.update_progress()``` without arguments```pythonclass YourTask(AVGTimeRedis, JobtasticTask):default_avg_time = 60 # 1 minute...def calculate_result(self, ..., **kwargs):...``````default_avg_time``` used when task still never calculatedIt will be encompass arithmetical mean after task was executed.Forecast accuracy depends from count executed tasks### Example with AVGTimeRedis classThe class that helps automate calculate an avarage time for different kindtasks and saves result into Redis DBLet's take a look at the example task using with JobtasticMixins andAVGTimeRedis class:``` pythonfrom time import sleepfrom jobtastic import JobtasticTaskfrom jobtasticmixins import AVGTimeRedisclass LotsOfDivisionTask(AVGTimeRedis, JobtasticTask):"""Division is hard. Make Celery do it a bunch."""significant_kwargs = [('numerators', str),('denominators', str),]herd_avoidance_timeout = 60cache_duration = 0# optional variable was added. by default is 30 secondsdefault_avg_time = 90def calculate_result(self, numerators, denominators, **kwargs):results = []for count, divisors in enumerate(zip(numerators, denominators)):numerator, denominator = divisorsresults.append(numerator / denominator)# it will be auto calculatedself.update_progress()sleep(0.1)# set finish=True for avoid troubleself.update_progress(finish=True)return results```Under the hood:1. AVGTimeRedis gets settings.BROKER_URL and connects to Redis2. It counts the tasks and the workers and uses to calculatingMore details you can see into [source](https://github.com/abbasovalex/JobtasticMixins/blob/master/jobtasticmixins/mixins.py)
Package: jobx
pip install jobxMagical tool to run batch tasks.Get Startedinstall jobx :pip install -U -i https://pypi.org/simple jobx.create task config file，it's recommended to name asjobx.yaml.run tasks (presume that the name isjobx.yaml).run all tasks:jobx *(jobx \*on Linux/MacOS).run specific task:jobx  task-name.run multiple tasks:jobx t1,t2(task names are split by,, no space).run tasks with matching names:jobx tasks.yaml *plugin*install(matching like fnmatch).If the config file name is not the default one (jobx.yaml), you need to specify the name with-fflag. For example,jobx -f my-task.yaml task1.Acknowledgementjinja2python-fire
Package: joby-m-anthony-iii
Project DescriptionThis package provides:Useful capabilities to solve and plot numerical methods problems with heavy reliance on NumPy and Pandas.Evaluation and derivation of lambda expressions.Docstrings formatted according to NumPy'sconventionwherein the latest API documentation is generated bySphinx.Capability to interact with the Python modulelogginghas been included.ReferencesR. Burden L., D. Faires J., and A. Burden M., Numerical Analysis, 10th ed. 20 Channel Center Street, Boston, MA 02210, USA: Cengage, 2019.The Bright Side of Mathematics, QR decomposition (for square matrices), (Mar. 22, 2020). Accessed: Jul. 14, 2022. [Online Video]. Available:https://www.youtube.com/watch?v=FAnNBw7d0vgE. W. Weisstein, “Least Squares Fitting--Power Law.”https://mathworld.wolfram.com/(accessed Jul. 15, 2022).
Package: jocampo-log-service-proto
Creating a new set of python proto classesCreate a venv (py > 3.5 ish)Install dependencies (seerequirements.txt).TODO: this file has WAY more dependencies than it should. Clean it up.In this folder (python/), run:python./compileProto.pyOutput should be in thelog_service_proto/folderCreating a new buildSeethis postfor more notes and examples about the packaging process.Install the required dependencies (they don't need to be in the venv):python-mpipinstall--user--upgradesetuptoolswheelbuild
python-mpipinstall--user--upgradetwineUpdate thesetup.cfgfile with any changes (such as new version number)Generate the buildpython3-mbuildMake surethat the files indist/reflect what you want to release. Often timessetup.cfghas errors in it and that causes issues like files being omitted from the dist folders.Publish to Test Pypi repoUpload the dist files to TestPypipython3-mtwineupload--repositorytestpypidist/*Note:In case your files contain old releases. These WILL try to get uploaded again. You can prevent that by adding the flag:--skip-existingYou can install the package (in other projects) with:pipinstall-ihttps://test.pypi.org/simple/jocampo-log-service-protoPublish to the actual Pypi repoUpload the dist files to Pypipython3-mtwineuploaddist/*Note:In case your files contain old releases. These WILL try to get uploaded again. You can prevent that by adding the flag:--skip-existingYou can install the package (in other projects) with:pipinstalljocampo-log-service-proto