Software Carpentry (Virtual)

US/Central
Description

HEP Software Foundation, HSF Logo IRIS-HEP Logo

We are very excited to announce the Software Carpentry Workshop organised through the HEP Software Foundation and IRIS-HEP

The times for the workshop are in  US Central time zone.

Over three days we will cover the fundamentals of:
Unix (e.g. shell, bash and scripting);
Git and Github – how to version control your code
Python – fundamentals of using the Python language
Jupyter Notebooks
Python for analysis – how to combine Python with ROOT to start analysing data (i.e. pyroot and uproot)

This training is aimed at those who are new to HEP and want a fast-track to competency with software fundamentals, as well the non-expert self-taught who wish to ensure they do not have gaps in their knowledge.

The first two days are covered by The Carpentries. The third day will be taught by tutors expert in HEP software. Interactive hands-on sessions  lead by the tutor will be supported by a number of helpers to ensure all participants are able to follow and understand the material.

Given the limited number of participants, all participants are expected to attend the whole workshop.

This is a virtual event and no payment or travel is required for attending.  Participants are required to have their own laptop for the workshop.


Please contact the organisers (email us) in case of any questions.

Notes for Participants

To participate in Mattermost discussions for the workshop purposes a CERN lightweight account is needed. It is easy to get it here.

To participate in a Software Carpentry workshop, you will need access to the software described below. In addition, you will need an up-to-date web browser.

Have a look at the bottom part of this page for Windows/Mac/Linux instructions on how to install these tools on your laptop. 

The Bash Shell

Bash is a commonly-used shell that gives you the power to do simple tasks more quickly.

Git

Git is a version control system that lets you track who made changes to what when and has options for easily updating a shared or public version of your code on github.com. You will need a supported web browser.

You will need an account at github.com for parts of the Git lesson. Basic GitHub accounts are free. We encourage you to create a GitHub account if you don't have one already. Please consider what personal information you'd like to reveal. For example, you may want to review these instructions for keeping your email address private provided at GitHub.

Text Editor

When you're writing code, it's nice to have a text editor that is optimized for writing code, with features like automatic color-coding of key words. The default text editor on macOS and Linux is usually set to Vim, which is not famous for being intuitive. If you accidentally find yourself stuck in it, hit the Esc key, followed by :+Q+! (colon, lower-case 'q', exclamation mark), then hitting Return to return to the shell.

Python

Python is a popular language for research computing, and great for general-purpose programming as well. Installing all of its research packages individually can be a bit difficult, so we recommend Anaconda, an all-in-one installer.

Regardless of how you choose to install it, please make sure you install Python version 3.x (e.g., 3.7 is fine).

We will teach Python using the Jupyter notebook, a programming environment that runs in a web browser. For this to work you will need a reasonably up-to-date browser. The current versions of the Chrome, Safari and Firefox browsers are all supported (some older browsers, including Internet Explorer version 9 and below, are not).

ROOT

ROOT is an open-source data analysis framework widely used by high-energy physicists. In all the HEP experiments it has become a fundamental tool, and you will have to learn the basics. You can read more about ROOT on the official webpage.

If you have installed Python via Anaconda, ROOT is available as a conda package. We suggest using a conda environment since it will bring in everything that you need, including Jupyter. On the Installing ROOT webpage, you will find the instructions to set up the environment. 

 

We maintain a list of common issues that occur during installation as a reference for instructors that may be useful on the Configuration Problems and Solutions wiki page.

Support: This event is supported in part by National Science Foundation grants OAC-1829707 and OAC-1829729 (FIRST-HEP), Cooperative Agreement OAC-1836650 (IRIS-HEP) and The Carpentries.

Local organising committee:

  • Michel Villanueva
  • Meirin Oan Evans
  • Sudhir Malik

Instructors:

  • Rafi Ullah
  • Annajiat Alim Rasel
  • Tong Liang
  • Enrico Guiraud
  • Mason Proffitt
Mentors:
  • Henry Schreiner
  • Michel Villanueva
  • Meirin Evans
  • Scarlet Norberg
  • Enric Tejedor Saavedra
  • Vincenzo Eduardo Padulano

 

 

 

Videoconference
Software Carpentry (Virtual)
Zoom Meeting ID
61714609798
Host
Sudhir Malik
Useful links
Join via phone
Zoom URL
Registration
Registration Form
75 / 75
Participants
  • Afeez Yusuff
  • Alessio Illari
  • Andrew Mogan
  • Angel Christopher
  • Animesh Chatterjee
  • Atharva Patil
  • Barnali Chowdhury
  • Beatriz de Errico
  • Biao Wang
  • Brandon Parris
  • Brian Omar Cruz Rodriguez
  • Byungchul Yu
  • Chatura Kuruppu
  • Claudio San Martín
  • David Vanegas Forero
  • Dawid Grabowski
  • Dev Malik
  • Donal Day
  • Dylan English
  • Emma Pearson
  • Esteban Molina
  • Everardo Granados Vazquez
  • Fabián Hernández Pinto
  • Fatemeh Gorgannejad
  • Gaurav Sharma
  • Grzegorz Deptuch
  • Harold Guerrero De La Cruz
  • Ignacio Acevedo
  • Jabia Moazam
  • Jason Liang
  • Jaydip Singh
  • Jiangmei Yang
  • Jilei Xu
  • Joseph T Nunziata
  • Josiah Walker
  • Julia Cornejo
  • Kate Evans
  • Kyungseon Joo
  • MARCO ANDRE FERREIRA DIAS
  • Mehmet Tosun
  • MERLIN VARGHESE
  • Nataporn Pinitkha
  • Nathaniel Hoffman
  • Neeraj Kumar
  • Nicholas St John
  • Nicola Zancopè
  • Nikhil Mohan
  • Nilay Bostan
  • Nisar Nellikunnummel
  • Noma Zafar
  • Praveen Kumar
  • Quynh Huong Vuong
  • Riccardo Triozzi
  • Rizwan Ahmed
  • Rocío Carrera Robledo
  • Rodolfo Valentim
  • Rose Perea
  • Ruole Yi
  • Samadhan Kamble
  • Sandeep Miryala
  • Seema Choudhury
  • Shruti De
  • Shubhangi Krishan Maurya
  • Silviu Covrig Dusa
  • Sinem Salva
  • Sukanya Krishna
  • Tooba Ali
  • Varditer Beglaryan
  • Varun Neelamana
  • Veronica Monte
  • Vikrant Dubey
  • Vinicius Andreossi
  • Yu Seon Jeong
  • Zachary Baldwin
    • 9:00 AM 9:20 AM
      Introduction
      Convener: Sudhir Malik (University of Puerto Rico (PR))
    • 9:20 AM 1:00 PM
      Unix

      This lesson guides you through the basics of file systems and the shell.

      Conveners: Annajiat Alim Rasel (Brac University) , Rafi Ullah (LUMS) , Tong Liang (Stony Brook University)
      • 10:45 AM
        Break 20m
    • 1:00 PM 2:00 PM
      Lunch 1h
    • 2:00 PM 6:00 PM
      Python: Python I

      The best way to learn how to program is to do something useful, so this introduction to Python is built an example of data analysis.

      Conveners: Annajiat Alim Rasel (Brac University) , Rafi Ullah (LUMS) , Tong Liang (Stony Brook University)
    • 9:00 AM 1:00 PM
      Git

      In this lesson we use Git from the Unix Shell.

      Conveners: Annajiat Alim Rasel (Brac University) , Rafi Ullah (LUMS) , Tong Liang (Stony Brook University)
    • 1:00 PM 2:00 PM
      Lunch 1h
    • 2:00 PM 4:30 PM
      Python: Python II

      The best way to learn how to program is to do something useful, so this introduction to Python is built an example of data analysis.

      Conveners: Annajiat Alim Rasel (Brac University) , Rafi Ullah (LUMS) , Tong Liang (Stony Brook University)
    • 4:30 PM 6:00 PM
      Python: Unit tests and CI

      The best way to learn how to program is to do something useful, so this introduction to Python is built an example of data analysis.

      Conveners: Annajiat Alim Rasel (Brac University) , Rafi Ullah (LUMS) , Tong Liang (Stony Brook University)
    • 9:00 AM 9:45 AM
      Python for analysis: ROOT and Jupyter notebooks

      In this session we focus on using python in HEP in conjunction with ROOT for data analysis

      Conveners: Enric Tejedor Saavedra (CERN) , Enrico Guiraud (EP-SFT, CERN) , Vincenzo Eduardo Padulano (Valencia Polytechnic University (ES))
    • 9:45 AM 10:00 AM
      Break 15m
    • 10:00 AM 11:00 AM
      Python for analysis: plots and fits with ROOT and RDataFrame

      In this session we focus on using python in HEP in conjunction with ROOT for data analysis

      Conveners: Enric Tejedor Saavedra (CERN) , Enrico Guiraud (EP-SFT, CERN) , Vincenzo Eduardo Padulano (Valencia Polytechnic University (ES))
    • 11:00 AM 11:20 AM
      Coffee Break 20m
    • 11:20 AM 12:45 PM
      Python for analysis: HEP analysis with RDataFrame

      In this session we focus on using python in HEP in conjunction with ROOT for data analysis

      Convener: Vincenzo Eduardo Padulano (Valencia Polytechnic University (ES))
    • 12:45 PM 2:00 PM
      Lunch 1h 15m
    • 2:00 PM 3:20 PM
      Python for analysis 2: Uproot

      Uproot is a library for reading ROOT files without any of the ROOT software itself. Let's learn how to use it in this session.

      Convener: Mason Proffitt (University of Washington (US))
    • 3:20 PM 3:40 PM
      Coffee Break 20m
    • 3:40 PM 5:00 PM
      Python for analysis 2: Uproot

      Uproot is a library for reading ROOT files without any of the ROOT software itself. Let's learn how to use it in this session.

      Convener: Mason Proffitt (University of Washington (US))