[POSTPONED] Software Carpentry at CERN

Europe/Zurich
Description

In light of the worldwide COVID-19 situation and following the advice of the CERN Directorate we have decided to postpone this edition of the Software Carpentry event. We shall provide more information about a rescheduled event as soon as we have it.


HEP Software Foundation, HSF Logo IRIS-HEP Logo

Registration opens Friday 28 February (10am CERN time)

We are very excited to announce the second Software Carpentry Workshop at CERN, organised through the HEP Software Foundation and IRIS-HEP.

This event follows on from the previous successful Software Carpentry Workshop in November 2019.

Over several 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, as well as using numpy, how to write tests and some basic machine learning in Python
Jupyter Notebooks and SWAN
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 computing 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 day is intended for anyone completely new to the unix environment or to Python programming. Days 2 and 3 concentrate on Git and Python courses.

The training is in-person at CERN. Given the limited number of participants, all participants are expected to the whole workshop from Wednesday to Friday. Tuesday shall cover the very fundamental basics of the unix shell and Python and is therefore optional.

No payment is required for attending this event. Accommodation, travel and subsistence is expected to be arranged by the participant. Coffee breaks are kindly sponsored by the CERN EP-SFT group (thank you!). Participants are required to have their own laptop for the workshop and an account on lxplus.


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

Notes for Participants

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 this page for Windows/Mac/Linux instructions for installing these tools on your laptop. 

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.

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).

Participants
  • Abdalla Ezzat Fahmy
  • Akashleena Sarkar
  • Angelos Zografos
  • Anjali Krishnan
  • Ausra Suboniene
  • Bhargav Madhusudan Joshi
  • Blaz Leban
  • Carlos Moreno Martinez
  • Charis Kleio Koraka
  • Daria Selivanova
  • Di Wang
  • Dimitrios Karasavvas
  • Donata Mielaikaite
  • Dylan Pizzi
  • Ebru Uslan
  • Edoardo Franzoso
  • Ethan Lewis Simpson
  • Evan Michael Carlson
  • Gennaro Termo
  • Gianmario Bergamin
  • Giuseppe Carratta
  • Grigorii Tolkachev
  • Ioannis Stathopoulos
  • Joshua Falco Beirer
  • Kevin Mota Amarilo
  • Konstantinos Damanakis
  • Krzysztof Stachon
  • Laurynas Mince
  • Luis Felipe Ramirez Garcia
  • Magda Diamantopoulou
  • Mapse Barroso Ferreira Filho
  • Marina Reggiani-Guzzo
  • Marta Babicz
  • Marwa Al Moussawi
  • Mary Touranakou
  • Matous Vozak
  • Matteo Pisano
  • Max Vincent Stange
  • Mpho Gift Doctor Gololo
  • Nafsika-Lydia Kalogeropoulou
  • Naomi Veronika Raab
  • Nikodemas Tuckus
  • Oguz Guzel
  • Oksana Bychkova
  • Prajesh Sharma
  • Qianying Guo
  • Roberto Morelli
  • Roman Tulinov
  • Ryunosuke O'Neil
  • Savannah Clawson
  • Savannah Rose Shively
  • Sebastien Joly
  • Simone Scarfi'
  • Umberto Molinatti
    • 09:00 09:20
      Introduction 30/7-018 - Kjell Johnsen Auditorium (CERN)

      30/7-018 - Kjell Johnsen Auditorium

      CERN

      5
      Show room on map
    • 09:20 13:00
      Unix 30/7-018 - Kjell Johnsen Auditorium (CERN)

      30/7-018 - Kjell Johnsen Auditorium

      CERN

      5
      Show room on map

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

    • 13:00 14:00
      Lunch 1h
    • 14:00 18:00
      Python: Introduction to Python 30/7-018 - Kjell Johnsen Auditorium (CERN)

      30/7-018 - Kjell Johnsen Auditorium

      CERN

      5
      Show room on map

      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.

    • 09:00 13:00
      Python: numpy 30/7-018 - Kjell Johnsen Auditorium (CERN)

      30/7-018 - Kjell Johnsen Auditorium

      CERN

      5
      Show room on map
    • 13:00 14:00
      Lunch 1h
    • 14:00 18:00
      Git 30/7-018 - Kjell Johnsen Auditorium (CERN)

      30/7-018 - Kjell Johnsen Auditorium

      CERN

      5
      Show room on map

      In this lesson we use Git from the Unix Shell.

    • 09:00 13:00
      Python: Testing 30/7-018 - Kjell Johnsen Auditorium (CERN)

      30/7-018 - Kjell Johnsen Auditorium

      CERN

      5
      Show room on map
    • 13:00 14:00
      Lunch 1h
    • 14:00 18:00
      Python: Machine Learning with scikit-learn 30/7-018 - Kjell Johnsen Auditorium (CERN)

      30/7-018 - Kjell Johnsen Auditorium

      CERN

      5
      Show room on map
    • 09:00 09:45
      Python: Jupyter Notebooks and Swan 30/7-018 - Kjell Johnsen Auditorium (CERN)

      30/7-018 - Kjell Johnsen Auditorium

      CERN

      5
      Show room on map

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

    • 09:45 10:00
      Break 15m
    • 10:00 11:00
      Python: PyROOT 30/7-018 - Kjell Johnsen Auditorium (CERN)

      30/7-018 - Kjell Johnsen Auditorium

      CERN

      5
      Show room on map

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

    • 11:00 11:20
      Break 20m
    • 11:20 12:45
      Python: RDataFrames and Analysis 30/7-018 - Kjell Johnsen Auditorium (CERN)

      30/7-018 - Kjell Johnsen Auditorium

      CERN

      5
      Show room on map

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

    • 12:45 14:00
      Lunch 1h 15m
    • 14:00 15:30
      Python: Uproot 30/7-018 - Kjell Johnsen Auditorium (CERN)

      30/7-018 - Kjell Johnsen Auditorium

      CERN

      5
      Show room on map

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

    • 15:30 15:50
      Break 20m 30/7-018 - Kjell Johnsen Auditorium (CERN)

      30/7-018 - Kjell Johnsen Auditorium

      CERN

      5
      Show room on map
    • 15:50 17:00
      Python: Uproot 30/7-018 - Kjell Johnsen Auditorium (CERN)

      30/7-018 - Kjell Johnsen Auditorium

      CERN

      5
      Show room on map

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