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ASTR 1020 - Lab 3: Expansion of the Universe
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CC BY
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Edwin Hubble examined the spectra of many galaxies, looking for the red (longer wavelengths) or blue (shorter wavelengths) shifts in the spectra, indicating relative motion. To his surprise, not only did all of the galaxies appear to be moving, but all were moving away from us, no matter the direction of the galaxy. In addition, he found most galaxies exhibited a redshift, and the redshift was larger the further it was from our galaxy.Distant Nature: Astronomy Exercises 2016 by Stephen Tuttle under license "Creative Commons Attribution Non-Commercial Share Alike".

Subject:
Astronomy
Material Type:
Activity/Lab
Author:
Hollyanna White
Date Added:
03/04/2022
Análisis y visualización de datos usando Python
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CC BY
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Python es un lenguaje de programación general que es útil para escribir scripts para trabajar con datos de manera efectiva y reproducible. Esta es una introducción a Python diseñada para participantes sin experiencia en programación. Estas lecciones pueden enseñarse en un día (~ 6 horas). Las lecciones empiezan con información básica sobre la sintaxis de Python, la interface de Jupyter Notebook, y continúan con cómo importar archivos CSV, usando el paquete Pandas para trabajar con DataFrames, cómo calcular la información resumen de un DataFrame, y una breve introducción en cómo crear visualizaciones. La última lección demuestra cómo trabajar con bases de datos directamente desde Python. Nota: los datos no han sido traducidos de la versión original en inglés, por lo que los nombres de variables se mantienen en inglés y los números de cada observación usan la sintaxis de habla inglesa (coma separador de miles y punto separador de decimales).

Subject:
Applied Science
Computer Science
Information Science
Mathematics
Measurement and Data
Material Type:
Module
Provider:
The Carpentries
Author:
Alejandra Gonzalez-Beltran
April Wright
Christopher Erdmann
Enric Escorsa O'Callaghan
Erin Becker
Fernando Garcia
Hely Salgado
Juan M. Barrios
Juan Martín Barrios
Katrin Leinweber
LUS24
Laura Angelone
Leonardo Ulises Spairani
Maxim Belkin
Miguel González
Nicolás Palopoli
Nohemi Huanca Nunez
Paula Andrea Martinez
Raniere Silva
Rayna Harris
Sarah Brown
Silvana Pereyra
Spencer Harris
Stephan Druskat
Trevor Keller
Wilson Lozano
chekos
monialo2000
rzayas
Date Added:
08/07/2020
Aprendiendo a Programar en Python con mi Computador: Primeros pasos rumbo a cómputos de gran escala en las Ciencias e Ingenierías
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CC BY-SA
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Este libro está dirigido, principalmente, a Estudiantes y Docentes que quieren aprender a programar como forma de fortalecer sus capacidades cognoscitivas y así obtener un beneficio adicional de su computador para lograr un mejor provecho de sus estudios. Dada la orientación del libro respecto a programar para resolver problemas asociados a las Ciencias e Ingenierías, el requisito mínimo de matemáticas que hemos elegido para presentar el contenido del mismo se cubre, normalmente, en el tercer año del bachillerato. No obstante, el requisito no es obligatorio para leer el libro en su totalidad y adquirir los conocimientos de programación obviando el contenido matemático.

Subject:
Applied Science
Computer Science
Material Type:
Textbook
Provider:
Project LATIn: The Latin American Open Textbook Initiative
Author:
Héctor Fernández
Juan Carlos Ruiz
Sergio Rojas
Date Added:
11/28/2017
Automate the Boring Stuff
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CC BY-NC-SA
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If you've ever spent hours renaming files or updating hundreds of spreadsheet cells, you know how tedious tasks like these can be. But what if you could have your computer do them for you?

In Automate the Boring Stuff with Python, you'll learn how to use Python to write programs that do in minutes what would take you hours to do by hand-no prior programming experience required. Once you've mastered the basics of programming, you'll create Python programs that effortlessly perform useful and impressive feats of automation to:

Search for text in a file or across multiple files
Create, update, move, and rename files and folders
Search the Web and download online content
Update and format data in Excel spreadsheets of any size
Split, merge, watermark, and encrypt PDFs
Send reminder emails and text notifications
Fill out online forms

Step-by-step instructions walk you through each program, and practice projects at the end of each chapter challenge you to improve those programs and use your newfound skills to automate similar tasks.

Don't spend your time doing work a well-trained monkey could do. Even if you've never written a line of code, you can make your computer do the grunt work. Learn how in Automate the Boring Stuff with Python.

Subject:
Applied Science
Computer Science
Material Type:
Textbook
Author:
Al Sweigert
Date Added:
01/24/2019
A Byte of Python
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CC BY-SA
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"A Byte of Python" is a free book on programming using the Python language. It serves as a tutorial or guide to the Python language for a beginner audience. If all you know about computers is how to save text files, then this is the book for you. There are many translations of the book available in different human languages.

Subject:
Applied Science
Computer Science
Material Type:
Textbook
Author:
Swaroop C.H.
Date Added:
03/21/2017
CS04ALL: Command Line Python
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CC BY-NC-SA
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Students are presented with information relating to stand alone Python programs, stdin, stdout, and command line arguments. This is a lab exercise. After completion students should be able to create executable Python programs which can accept input from stdin or command line arguments.

Subject:
Applied Science
Computer Science
Material Type:
Activity/Lab
Provider:
CUNY Academic Works
Provider Set:
John Jay College of Criminal Justice
Author:
Hunter. R Johnson
Date Added:
02/02/2019
The Crystal Ball Instruction Manual - version 1.1 Volume One: Introduction to Data Science
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CC BY-SA
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A perfect introduction to the exploding field of Data Science for the curious, first-time student. The author brings his trademark conversational tone to the important pillars of the discipline: exploratory data analysis, choices for structuring data, causality, machine learning principles, and introductory Python programming using open-source Jupyter Notebooks. This engaging read will allow any dedicated learner to build the skills necessary to contribute to the Data Science revolution, regardless of background.

Subject:
Applied Science
Information Science
Material Type:
Textbook
Author:
Stephen Davies
Date Added:
11/18/2021
Data Analysis and Visualization in Python for Ecologists
Unrestricted Use
CC BY
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Python is a general purpose programming language that is useful for writing scripts to work effectively and reproducibly with data. This is an introduction to Python designed for participants with no programming experience. These lessons can be taught in one and a half days (~ 10 hours). They start with some basic information about Python syntax, the Jupyter notebook interface, and move through how to import CSV files, using the pandas package to work with data frames, how to calculate summary information from a data frame, and a brief introduction to plotting. The last lesson demonstrates how to work with databases directly from Python.

Subject:
Applied Science
Computer Science
Information Science
Mathematics
Measurement and Data
Material Type:
Module
Provider:
The Carpentries
Author:
Maxim Belkin
Tania Allard
Date Added:
03/20/2017
Data Analysis and Visualization with Python for Social Scientists
Unrestricted Use
CC BY
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Python is a general purpose programming language that is useful for writing scripts to work effectively and reproducibly with data. This is an introduction to Python designed for participants with no programming experience. These lessons can be taught in a day (~ 6 hours). They start with some basic information about Python syntax, the Jupyter notebook interface, and move through how to import CSV files, using the pandas package to work with data frames, how to calculate summary information from a data frame, and a brief introduction to plotting. The last lesson demonstrates how to work with databases directly from Python.

Subject:
Applied Science
Computer Science
Information Science
Mathematics
Measurement and Data
Material Type:
Module
Provider:
The Carpentries
Author:
Geoffrey Boushey
Stephen Childs
Date Added:
08/07/2020
DataExplore
Conditional Remix & Share Permitted
CC BY-NC-SA
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This is a desktop application for visualization of data with convenient plotting functions. It is intended for educational/scientific use and teaching data analysis skills such as aggregation, merging data and getting statistics.
Though the program has a spreadsheet like interface, the focus is on data manipulation with very configurable 2D/3D plotting rather than data entry. Though basic cell editing and row/column changes are supported. The program is open source., licensed under the GPL.
This program is suitable for use by secondary school and third level students wishing to learn about data manipulation and advanced plotting.

Subject:
Applied Science
Computer Science
Material Type:
Interactive
Author:
Damien Farrell
Date Added:
02/28/2014
The Dating Equation
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CC BY-NC-SA
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A Python IF-ELSE activity - "The Dating Equation" - for CS0 students. Part of the CUNY CS04All project.

Subject:
Applied Science
Computer Science
Material Type:
Activity/Lab
Provider:
CUNY Academic Works
Provider Set:
College of Staten Island
Author:
City University Of New York - Graduate Center
Domanski Robert J
Robert J Domanski
Date Added:
06/04/2019
Django Girls Tutorial
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CC BY-SA
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The tutorial that the "DjangoGirls" initiative is using for all of its workshops. It's a very beginner-friendly tutorial with introductions to the command line, Python, Django, HTML and CSS. No previous programming experience is required.

Once participants have finished the tutorial, they will have a small working web application: their own blog. The tutorial will show them how to put it online, so others will see their work.

The tutorial is available in English, French, Chinese and Ukrainian. "beta" versions of translations to other languages are also available. (The English version is considered the "original" and is usually the most maintained, complete and up-to-date one.)

Subject:
Applied Science
Computer Science
Material Type:
Student Guide
Author:
Django Girls initiative and contributors
Date Added:
03/15/2018
Engineering in the Kitchen
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CC BY-SA
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This book was written to accompany the Tufts University introductory engineering course, "Engineering in the Kitchen". The book covers foundational topics in the course, including circuit analysis, Python programming, microcontroller I/O using MicroPython, and computer networking.

Subject:
Applied Science
Engineering
Material Type:
Textbook
Provider:
Tufts University
Author:
Steven Bell
Date Added:
01/17/2023
Facial Recognition/Artificial Intelligence
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CC BY-NC-SA
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Asking the question, “What is human-computer interaction - artificial intelligence? Students come to understand what artificial intelligence is in most everyday life, discussing the privacy, pros and cons of this topic and exploring with artificial intelligence activities online. This lesson plan includes using the Google Vision Kit to explore various pre-loaded facial recognition programs and advance programming students can access the Python code, manipulate the code and test the changes.

Subject:
Computer Science
Material Type:
Lesson Plan
Author:
Denise Hoag
Date Added:
04/04/2019
Foundations of Psychological Data Science I
Read the Fine Print
Educational Use
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This course lays the foundation for data science education targeting psychological and brain science students. No previous coding experience is required. The students are introduced to basic concepts and tools for data analysis. The focus is on hands-on practice and enjoyable learning. The course uses python as the programming language, and Jupyter Notebooks as the development environment (our “home base”) for the examples, tutorials, and assignments. The course uses Jupyterlab Notebooks because they are both the industry standard and a nice way to load, visualize, and analyze data as well as describe our findings in one environment. The course teaches how to use git and GitHub.com to document changes and backup our work and, eventually, for use as a collaboration tool.

Subject:
Applied Science
Computer Science
Psychology
Social Science
Material Type:
Activity/Lab
Author:
Franco Pestilli
Lawrence Cormack
Date Added:
10/20/2023
GIS Application Development
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CC BY-NC-SA
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In GEOG 489, you will learn advanced applications of Python for developing and customizing GIS software, designing user interfaces, solving complex geoprocessing tasks, and leveraging open source. The course consists of readings, walkthroughs, projects, quizzes, and discussions about advanced GIS programming concepts and techniques, and a final term project. It complements the material covered in GEOG 485: GIS Programming and Customization. Software covered in the course includes: Esri ArcGIS Pro/arcpy, Jupyter Notebook, Esri ArcGIS API for Python, QGIS, GDAL/OGR. Students will also use of the Git version control software for code management, and learn techniques for distributing Python applications to end users.

Subject:
Applied Science
Computer Science
Physical Geography
Physical Science
Material Type:
Full Course
Provider:
Penn State College of Earth and Mineral Sciences
Author:
James O'Brien
Jan Oliver Wallgrun
Jim Detwiler
Date Added:
10/07/2019
GIS Programming and Automation
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CC BY-NC-SA
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Bill Gates is credited with saying he would \hire a lazy person to do a difficult job\" with the justification that \"a lazy person will find an easy way to do it.\" GEOG 485 doesn't teach the lazy way to get the job done, but it does teach the scripting way _ which is arguably even better. You've probably heard the \"give a fish\"/\"teach to fish\" saying? That's the gist of GEOG 485: to equip you, in an ArcGIS context, with the ModelBuilder and Python scripting skills to make your boring, repetitive geoprocessing tasks easier, quicker and automatic _ so you can focus on the more interesting (potentially more valuable) work that you (and your employers) really want you to be doing."

Subject:
Applied Science
Computer Science
Information Science
Material Type:
Full Course
Provider:
Penn State College of Earth and Mineral Sciences
Author:
James O'Brien
Jim Detwiler
Sterling Quinn
Date Added:
10/07/2019