From adeae297e8a127b979e95fa2df9becf702cec6bd Mon Sep 17 00:00:00 2001 From: mdolling Date: Mon, 27 Jan 2020 13:14:36 +0100 Subject: [PATCH] fixed schedule, syllabus and setup --- _includes/swc/schedule.html | 41 +++++---- _includes/swc/setup.html | 174 +----------------------------------- _includes/swc/syllabus.html | 60 +------------ 3 files changed, 29 insertions(+), 246 deletions(-) diff --git a/_includes/swc/schedule.html b/_includes/swc/schedule.html index 71d01c4..a1da1d6 100644 --- a/_includes/swc/schedule.html +++ b/_includes/swc/schedule.html @@ -3,30 +3,33 @@

Day 1

- - - - - - - - - + + + + + + + + + + + +
Before Pre-workshop survey
09:00 Automating Tasks with the Unix Shell
10:30 Morning break
11:00 Automating Tasks with the Unix Shell (Continued)
12:00 Lunch break
13:00 Building Programs with Python
14:30 Afternoon break
15:00 Building Programs with Python (Continued)
16:00 Wrap-up
16:30 END
09:00 Arrival & coffee
09:30 Welcome & introduction
09:45 Lightning talks by participants
10:30 Software set-up
11:00 Coffee
11:30 The Unix Shell
13:00 Lunch
14:00 Version Control with Git (and Gitlab) 1
15:30 Coffee
16:00 Version Control with Git (and Gitlab) 2
17:30 Wrap-up
17:45 END

Day 2

- - - - - - - - - - + + + + + + + + + +
09:00 Version Control with Git
10:30 Morning break
11:00 Version Control with Git (Continued)
12:00 Lunch break
13:00 Managing Data with SQL
14:30 Afternoon break
15:00 Managing Data with SQL (Continued)
16:00 Wrap-up
16:30 Post-workshop Survey
16:40 END
09:00 Arrival & coffee
09:30 R - Introduction and basics
11:00 Coffee
11:30 R - Loops and functions
13:00 Lunch
14:00 R - Data analysis tidyr
15:30 Coffee
16:00 R - Data visualisation with ggplot2
17:30 Wrap-up and Post-workshop Survey
18:00 END
diff --git a/_includes/swc/setup.html b/_includes/swc/setup.html index bc3ece3..2122559 100644 --- a/_includes/swc/setup.html +++ b/_includes/swc/setup.html @@ -78,10 +78,10 @@
  • Quit command prompt by typing exit then pressing [Enter]
  • - - - - + + + +

    This will provide you with both Git and Bash in the Git Bash program.

    @@ -345,172 +345,6 @@ {% endcomment %} {% comment %} End of 'Python' section. {% endcomment %} -
    {% comment %} Start of 'R' section. {% endcomment %} -

    R

    - -

    - R is a programming language - that is especially powerful for data exploration, visualization, and - statistical analysis. To interact with R, we use - RStudio. -

    - -
    - - -
    -
    - Video Tutorial -

    - Install R by downloading and running - this .exe file - from CRAN. - Also, please install the - RStudio IDE. - Note that if you have separate user and admin accounts, you should run the - installers as administrator (right-click on .exe file and select "Run as - administrator" instead of double-clicking). Otherwise problems may occur later, - for example when installing R packages. -

    -
    - -
    -

    - You can download the binary files for your distribution - from CRAN. Or - you can use your package manager (e.g. for Debian/Ubuntu - run sudo apt-get install r-base and for Fedora run - sudo dnf install R). Also, please install the - RStudio IDE. -

    -
    -
    -
    -
    {% comment %} End of 'R' section. {% endcomment %} - -
    {% comment %} Start of 'SQLite' section. {% endcomment %} -

    SQLite

    - -

    - SQL is a specialized programming language used with databases. We - use a simple database manager called - SQLite in our lessons. -

    - -
    - -
    -
    -

    -

      -
    • Run git-bash from the start menu
    • -
    • Copy the following curl {{site.url}}{{site.baseurl}}/getsql.sh | bash
    • -
    • Paste it into the window that git bash opened. If you're unsure, ask an instructor for help
    • -
    • You should see something like 3.27.2 2019-02-25 16:06:06 ...
    • -
    - -

    If you want to do this manually, download sqlite3, make a bin directory in the user's home directory, unzip sqlite3, move it into the bin directory, and then add the bin directory to the path.

    - -

    -
    -
    -

    - SQLite comes pre-installed on macOS. -

    -
    -
    -

    - SQLite comes pre-installed on Linux. -

    -
    -
    -

    -

      -
    • In case of problems: register for an account at Python Anywhere
    • -
    • Download survey.db
    • -
    • Click on files and upload survey.db
    • -
    • Click on dashboard and Choose new console $ bash
    • -
    -

    -
    -
    -
    - -

    If you installed Anaconda, it also has a copy of SQLite - without support to readline. - Instructors will provide a workaround for it if needed.

    -
    {% comment %} End of 'SQLite' section. {% endcomment %} - -
    {% comment %} Start of 'OpenRefine' section. {% endcomment %} -

    OpenRefine

    -

    - For this lesson you will need OpenRefine and a - web browser. Note: this is a Java program that runs on your machine (not in the cloud). - It runs inside a web browser, but no web connection is needed. -

    - -
    - - -
    -
    -

    - Check that you have either the Firefox or the Chrome browser installed and set as your default browser. - OpenRefine runs in your default browser. - It will not run correctly in Internet Explorer. -

    -

    Download software from http://openrefine.org/

    -

    Create a new directory called OpenRefine.

    -

    Unzip the downloaded file into the OpenRefine directory by right-clicking and selecting "Extract ...".

    -

    Go to your newly created OpenRefine directory.

    -

    Launch OpenRefine by clicking openrefine.exe (this will launch a command prompt window, but you can ignore that - just wait for OpenRefine to open in the browser).

    -

    If you are using a different browser, or if OpenRefine does not automatically open for you, point your browser at http://127.0.0.1:3333/ or http://localhost:3333 to use the program.

    -
    -
    -

    Check that you have either the Firefox or the Chrome browser installed and set as your default browser. OpenRefine runs in your default browser. It may not run correctly in Safari.

    -

    Download software from http://openrefine.org/.

    -

    Create a new directory called OpenRefine.

    -

    Unzip the downloaded file into the OpenRefine directory by double-clicking it.

    -

    Go to your newly created OpenRefine directory.

    -

    Launch OpenRefine by dragging the icon into the Applications folder.

    -

    Use Ctrl-click/Open ... to launch it.

    -

    If you are using a different browser, or if OpenRefine does not automatically open for you, point your browser at http://127.0.0.1:3333/ or http://localhost:3333 to use the program.

    -
    -
    -

    Check that you have either the Firefox or the Chrome browser installed and set as your default browser. OpenRefine runs in your default browser.

    -

    Download software from http://openrefine.org/.

    -

    Make a directory called OpenRefine.

    -

    Unzip the downloaded file into the OpenRefine directory.

    -

    Go to your newly created OpenRefine directory.

    -

    Launch OpenRefine by entering ./refine into the terminal within the OpenRefine directory.

    -

    If you are using a different browser, or if OpenRefine does not automatically open for you, point your browser at http://127.0.0.1:3333/ or http://localhost:3333 to use the program.

    -
    -
    -
    -
    {% comment %} End of 'OpenRefine' section. {% endcomment %} - {% comment %}

    Virtual Machine

    diff --git a/_includes/swc/syllabus.html b/_includes/swc/syllabus.html index b16afc1..cef0454 100644 --- a/_includes/swc/syllabus.html +++ b/_includes/swc/syllabus.html @@ -1,5 +1,5 @@
    -
    +

    The Unix Shell

    -
    +

    Programming in Python

    - - -
    - -
    -
    +

    Version Control with Git

    -
    -

    Managing Data with SQL

    -
      -
    • Reading and Sorting Data
    • -
    • Filtering with where
    • -
    • Calculating New Values on the Fly
    • -
    • Handling Missing Values
    • -
    • Combining Values Using Aggregation
    • -
    • Combining Information From Multiple Tables Using join
    • -
    • Creating, Modifying, and Deleting Data
    • -
    • Programming with Databases
    • -
    • Reference...
    • -
    -
    -
    -- GitLab