cocolessons

Course material for the bilingual (Spanish, English) Code to Communicate program.

https://github.com/codetocommunicate/cocolessons

Science Score: 67.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • CITATION.cff file
    Found CITATION.cff file
  • codemeta.json file
    Found codemeta.json file
  • .zenodo.json file
    Found .zenodo.json file
  • DOI references
    Found 2 DOI reference(s) in README
  • Academic publication links
  • Committers with academic emails
    2 of 8 committers (25.0%) from academic institutions
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (11.5%) to scientific vocabulary

Keywords

education geoscience git jupyter python shell
Last synced: 4 months ago · JSON representation ·

Repository

Course material for the bilingual (Spanish, English) Code to Communicate program.

Basic Info
  • Host: GitHub
  • Owner: CodeToCommunicate
  • License: cc-by-4.0
  • Language: Jupyter Notebook
  • Default Branch: main
  • Homepage: https://www.codecommunicate.org/
  • Size: 38.2 MB
Statistics
  • Stars: 9
  • Watchers: 2
  • Forks: 9
  • Open Issues: 5
  • Releases: 4
Topics
education geoscience git jupyter python shell
Created about 4 years ago · Last pushed over 2 years ago
Metadata Files
Readme Contributing License Code of conduct Citation

README.md

CoCo banner

Digital Object Identifier for the Zenodo archive Code to communicate website

Material for the Coding lesson | Material para las lecciones de coding

This repository contains the material that we will use in the coding lessons to learn about Bash, Git/GitHub and Python.


Este repositorio contiene el material que se usará en las lecciones de coding para aprender sobre Bash, Git/GitHub y Python.

Schedule | Cronograma

| Week | Material | Topics | | ---- | --------------------------------------------------------------------------- | ------------------------------------------------------------------------------------------------------------ | | 1° | Setting up a scientific coding environment | Install software - Login to a JupyterHub - Get familiar with JupyterLab and Jupyter Notebook | | 2° | The shell | What is a command shell and why would I use one? - Files, directories and locations | | 3° | Start to work with Git: from configuration to create a repository in GitHub | What is Git? - Set up - How to use it? | | 4° | Introduction to Python and NumPy | Variables - Types of data and structures - NumPy arrays | | 5° | Data visualization with Matplotlib | How can we open a file? - How can we plot our data? - Plot types - How can we save our plot for publishing? | | 6° | More about Python | For loops - Conditional statements - Write our own functions | | 7° | Pandas | How to create and store a DataFrame - How to open a file - Some ways to work with a DataFrame - Plots | | 8° | Git, Part 2 | How to work with a branch | | 9° | Introduction to Rasterio and Xarray | Import a raster file - Manipulate the data - Visualize the data - Export data | | 10° | Introduction to Rioxarray | How to do scale analysis with lots of images using Microsoft's Planetary Computer - How Geopandas and Xarray work together - Examine how NDVI changes over time |

Requirements | Requisitos

  • Personal computer with internet connection and browser.
  • It isn't necessary to have a camera and microphone, although it would be beneficial to exchange ideas.
  • It is not necessary to have programming knowledge.

  • Computadora personal con conexión a internet y navegador.
  • No es necesario tener cámara y micrófono, aunque sería beneficioso para poder intercambiar ideas.
  • No es necesario tener conocimientos de programación.

The CoCo lessons can be run locally if you install Anaconda and a git client (covered in lesson 1). All lessons are also available on EarthscapeHub. Click this button:

Run on EarthscapeHub

to open the lessons directly on the EarthscapeHub lab instance!

Note: The EarthscapeHub lab instance is password-protected. Please contact your instructor about obtaining a login, or visit this CSDMS wiki page for more information.

License | Licencia

CC BY 4.0

All Code to Communicate (CoCo) instructional material is made available under the Creative Commons Attribution 4.0 International License.

Acknowledgment | Reconocimiento

Code to Communicate is supported by the National Science Foundation under Award Nos. 2118272, 2117519, and 2118171, Collaborative Research: CyberTraining: Pilot: A Cybertraining Program to Advance Knowledge and Equity in the Geosciences.

Portions of the Code to Communicate setup and shell lessons are derived from material that is copyright Software Carpentry and remixed under their license.

Owner

  • Name: Code to Communicate
  • Login: CodeToCommunicate
  • Kind: organization
  • Email: codetocommunicate@gmail.com

Code to Communicate (CoCo) is an NSF-sponsored bilingual program offering coding and scicomm training for graduate students in the Geosciences

Citation (CITATION.cff)

cff-version: 1.2.0
message: >-
  If you use these lessons, please cite them as below.
title: "CoCo Coding Lessons"
authors:
  - family-names: Pesce
    given-names: Agustina
    orcid: https://orcid.org/0000-0002-5538-8845
  - family-names: Piper
    given-names: Mark
    orcid: https://orcid.org/0000-0001-6418-277X
  - family-names: Soler
    given-names: Santiago
    orcid: https://orcid.org/0000-0001-9202-5317
  - family-names: Cortez
    given-names: Isamar
    orcid: https://orcid.org/0000-0002-5270-0864
  - family-names: Gomez
    given-names: Mariana
    orcid: https://orcid.org/0000-0002-2587-5255
  - family-names: Balza
    given-names: Andrea
  - family-names: Henderson
    given-names: Scott
    orcid: https://orcid.org/0000-0003-0624-4965
url: 'https://github.com/CodeToCommunicate/CoCoLessons'
abstract: >-
  Course material for the bilingual (Spanish, English) Code to Communicate program.
keywords:
  - python
  - git
  - shell
  - education
  - jupyter
  - geoscience
license: CC-BY-4.0
version: 2023.3
doi: 10.5281/zenodo.8368166
date-released: "2023-09-21"

GitHub Events

Total
  • Watch event: 1
Last Year
  • Watch event: 1

Committers

Last synced: almost 2 years ago

All Time
  • Total Commits: 167
  • Total Committers: 8
  • Avg Commits per committer: 20.875
  • Development Distribution Score (DDS): 0.575
Past Year
  • Commits: 77
  • Committers: 5
  • Avg Commits per committer: 15.4
  • Development Distribution Score (DDS): 0.455
Top Committers
Name Email Commits
Mark Piper m****r@c****u 71
Agustina Pesce p****a@g****m 63
isamarcortes c****1@m****u 15
MGomezN m****s@g****m 6
Santiago Soler s****r@g****m 6
Andrea Balza a****m@g****m 3
Scott Henderson s****q@g****m 2
isamarcortes 4****s 1
Committer Domains (Top 20 + Academic)

Issues and Pull Requests

Last synced: almost 2 years ago

All Time
  • Total issues: 8
  • Total pull requests: 53
  • Average time to close issues: about 1 month
  • Average time to close pull requests: 9 days
  • Total issue authors: 3
  • Total pull request authors: 8
  • Average comments per issue: 1.38
  • Average comments per pull request: 1.91
  • Merged pull requests: 47
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 2
  • Pull requests: 10
  • Average time to close issues: N/A
  • Average time to close pull requests: 4 days
  • Issue authors: 2
  • Pull request authors: 4
  • Average comments per issue: 0.0
  • Average comments per pull request: 1.7
  • Merged pull requests: 8
  • Bot issues: 0
  • Bot pull requests: 0
Top Authors
Issue Authors
  • mdpiper (3)
  • santisoler (3)
  • MGomezN (2)
Pull Request Authors
  • aguspesce (20)
  • mdpiper (10)
  • MGomezN (6)
  • santisoler (6)
  • isamarcortes (6)
  • scottyhq (2)
  • andieie (2)
  • sergiogyoz (1)
Top Labels
Issue Labels
Pull Request Labels

Dependencies

environment.yml conda
  • jupyterlab
  • matplotlib
  • numpy
  • pandas
  • pip
  • python 3.*
  • scipy