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".

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).

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.

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.

"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.

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.

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.

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.

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.

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.

A Python IF-ELSE activity - "The Dating Equation" - for CS0 students. Part of the CUNY CS04All project.

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.)

A Python Functions activity - "Drawing with Turtle" - for CS0 students. Part of the CUNY CS04All project.

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.

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.

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.

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."

A Python Lists activity - "Gift Exchange" - for CS0 students. Part of the CUNY CS04All project.

A Python Lists activity - "Hangman game" - for CS0 students. Part of the CUNY CS04All projec

Python is a fun and extremely easy-to-use programming language that has steadily gained in popularity over the last few years. Developed over ten years ago by Guido van Rossum, Python's simple syntax and overall feel is largely derived from ABC, a teaching language that was developed in the 1980's. However, Python was also created to solve real problems and it borrows a wide variety of features from programming languages such as C++, Java, Modula-3, and Scheme. Because of this, one of Python's most remarkable features is its broad appeal to professional software developers, scientists, researchers, artists, and educators. 278 page pdf file.