Online
Dec 01-02, 2022
10 am - 4 pm CEST
(8 am - 2 pm UTC
2 pm - 8 pm BDT)
Instructors: Rohit Goswami, Annajiat Alim Rasel, Elif Dede Yildirim, Brian Gue
Helpers: Cora Molloy, Alexander Krug
Data Carpentry develops and teaches workshops on the fundamental data skills needed to conduct research. Its target audience is researchers who have little to no prior computational experience, and its lessons are domain specific, building on learners' existing knowledge to enable them to quickly apply skills learned to their own research. Participants will be encouraged to help one another and to apply what they have learned to their own research problems.
For more information on what we teach and why, please see our paper "Good Enough Practices for Scientific Computing".
Who: The course is aimed at graduate students and other researchers. You don't need to have any previous knowledge of the tools that will be presented at the workshop.
Where: This training will take place online. The instructors will provide you with the information you will need to connect to this meeting.
When: Dec 01-02, 2022. Add to your Google Calendar.
Requirements: Participants must have access to a computer with a Mac, Linux, or Windows operating system (not a tablet, Chromebook, etc.) that they have administrative privileges on. They should have a few specific software packages installed (listed below).
Accessibility: We are dedicated to providing a positive and accessible learning environment for all. Please notify the instructors in advance of the workshop if you require any accommodations or if there is anything we can do to make this workshop more accessible to you.
Contact: Please email cm@mpifg.de , rog32@hi.is , annajiat@gmail.com , elifdy@auburn.edu , bmgue@pcl.com or krug@coll.mpg.de for more information.
Roles: To learn more about the roles at the workshop (who will be doing what), refer to our Workshop FAQ.
Everyone who participates in Carpentries activities is required to conform to the Code of Conduct. This document also outlines how to report an incident if needed.
We will use this collaborative document for chatting, taking notes, and sharing URLs and bits of code.
Please be sure to complete these surveys before and after the workshop.
Estimated Schedule
December 1st, 2022
|
Time |
Topic |
Comment |
Instructor |
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Download files required for the lesson |
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9:30 |
Zoom Room opens |
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|
|
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10:00 CET |
Why learn Python? What are Jupyter notebooks? |
Annajiat |
|
|
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10:15 |
How do I assign values to variables? How do I do arithmetic? What is a built-in function? How do I see results? What data types are supported in Python? |
Annajiat |
|
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11:10 |
What constructs are available for changing the flow of a program? How can I repeat an action many times? How can I perform the same task(s) on a set of items? |
Annajiat |
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|
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11:55 |
What are user defined functions? How can I automate my code for re-use? |
Annajiat |
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12:35-13:35 |
LUNCH BREAK ? |
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13:35 |
How can I read and write files? What kind of data files can I read? |
Rohit |
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13:45 |
How are dates and time represented in Python? How can I manipulate dates and times? |
Rohit |
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15:10 |
What is JSON format? How can I extract specific data items from a JSON record? How can I convert an array of JSON record into a table? |
Elif |
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15:55 |
8. Reading data from a file using Pandas [datacarpentry.org] |
What is Pandas? How do I read files using Pandas? What is the difference between reading files using Pandas and other methods of reading files? |
Elif |
|
December 2nd, 2022
|
Time |
Topic |
Comment |
Instructor |
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10:00 |
Recap, Questions from yesterday |
|
Annajiat |
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10:15 |
How can I extract specific rows and columns from a Dataframe? How can I add or delete columns from a Dataframe? How can I find and change missing values in a Dataframe? |
Rohit |
|
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10:45 |
How can I summarise the data in a data frame? |
Rohit |
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11:15 |
How can I join two Dataframes with a common key? |
Elif |
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11:50 |
What are long and Wide formats? Why would I want to change between them? |
Elif |
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13:35 14:35 |
Lunch Break? |
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14:25 |
How can I create visualisations of my data? |
Brian |
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15:15 |
How can I access database tables using Pandas and Python? What are the advantages of storing data in a database |
Brian |
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16:15 |
Finish |
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|
The actual schedule may vary slightly depending on the topics and exercises chosen by the instructor.
To participate in a Data Carpentry workshop, you will need access to software as described below. In addition, you will need an up-to-date web browser.
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.
If you haven't used Zoom before, go to the official website to download and install the Zoom client for your computer.
Like other Carpentries workshops, you will be learning by "coding along" with the Instructors. To do this, you will need to have both the window for the tool you will be learning about (a terminal, RStudio, your web browser, etc..) and the window for the Zoom video conference client open. In order to see both at once, we recommend using one of the following set up options:
The setup instructions for the Data Carpentry Social Sciences workshops (with Python) can be found at the workshop overview site.