Editing Intro to Programming and Data Science (Fall 2023)/Week 1 Coding Challenge
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== Goal #1: Set up Python and make a class folder == | == Goal #1: Set up Python and make a class folder == | ||
(Estimated time: | (Estimated time: 5 minutes) | ||
First things first: We are going to install "Anaconda". This is a suite of programs for doing data science with Python. It will install the Python programming language, together with a number of other packages that we will be using later in the course, such as pandas and Jupyter. Please complete the instructions below for your operating system. | |||
You should be able to install it from [https://www.anaconda.com/products/distribution https://www.anaconda.com/products/distribution]—make sure that you install Python 3.9. | |||
After you have installed it, you should be able to open Anaconda Navigator, and then open Juptyer Lab. | |||
You | * You should also make a folder to use for your class files. A dedicated folder will help you keep track of all the items you download or write as part of the class, and make them easier to find later. One of the secrets of data science is being kind to your future self by being extremely organized. | ||
== Goal #2: Practice running Python code from an existing Jupyter notebook == | == Goal #2: Practice running Python code from an existing Jupyter notebook == | ||
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(Estimated time: 5 minutes) | (Estimated time: 5 minutes) | ||
We're going to use Jupyter notebooks to write and run Python throughout the class. Jupyter notebooks can mix together text and code. You can make changes and immediately see what happens and you can even export them to different file formats. In this section of the setup process, we'll try out your Python setup by running code in an existing notebook. | We're going to use Jupyter notebooks to write and run Python throughout the class. By installing Anaconda, you can now use your computer's web browser to write and run python code files on your computer. Jupyter notebooks can mix together text and code. You can make changes and immediately see what happens and you can even export them to different file formats. In this section of the setup process, we'll try out your Python setup by running code in an existing notebook. | ||
Right click [https://jeremydfoote.com/Intro-to-Programming-and-Data-Science/day_1/first_notebook.ipynb this link], save it to your computer, and then open it in | Right click [https://jeremydfoote.com/Intro-to-Programming-and-Data-Science/day_1/first_notebook.ipynb this link], save it to your computer, and then open it in Jupyter. Run each of the cells and read through the instructions. | ||
== Goal #3: Start learning Python! == | == Goal #3: Start learning Python! == | ||
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It's time to use what we've learned in the tutorial and get some practice thinking about and solving problems in Python. | It's time to use what we've learned in the tutorial and get some practice thinking about and solving problems in Python. | ||
Your next task is to work through '''the first two lessons''' | <div style="font-size:125%">[https://learnpython.org/ » Click here and complete the first two lessons on Learnpython «]</div> | ||
Your next task is to work through '''the first two lessons''' (there are ''many'' lessons, so don't just keep hit "Next" or you're never finish!): | |||
* [https://www.learnpython.org/en/Hello%2C_World%21 Hello, World] | * [https://www.learnpython.org/en/Hello%2C_World%21 Hello, World] | ||
