Set of Jupyter Notebooks, along with datafiles, to get started with Scientific Computing in Astronomy
While Jupyter runs code in many programming languages, Python is a requirement (Python 3.3 or greater, or Python 2.7) for installing the classic Jupyter Notebook.
Think you might have installed all this before?
You can run jupyter notebook in your terminal (or command prompt on Windows). If this opens a browser window then you probably have the required software. In the browser window, try making a new ipython notebook and in there add the following code:
import numpy as np
import pandas as pd
import matplotliband see if it runs. If it does then you are good to go for these tutorials. You might still want to do a conda installation if you are not very sure about how you installed the packages, because in the projects we might need to install a few more packages (by packages we mean numpy, pandas etc.).
Windows
Follow the youtube video: Installing MiniConda on Windows
The video mentions this, but repeating since this is very important, remember to check the "Add MiniConda3 to my PATH environment variable" box (if some warning is shown regarding this, ignore it).
Open command prompt (Press Windows button and type ‘cmd’) (opening powershell is also fine)
Type conda install jupyter numpy scipy matplotlib pandas into the window and hit enter.
This should install some more required packages, type y whenever the terminal tells you to.
At this point you have installed everything that you need.
Enter the following command to start a notebook, and you can start playing around.
jupyter notebook MacOS
Our first step is to download the installer
Use the following links depending on your mac
The download of the installer should be quick, it’s < 100 mb in size
Once the download finishes, click on the installer to open it. Keep following the onscreen instructions to download miniconda.
Once the installation is finished, open a terminal (if you already had one open, close it and reopen the terminal)
You might see the word (base) written on the left or the right end of your line, that is fine.
Type conda install jupyter numpy scipy matplotlib pandas into the terminal and hit enter.
This should install some more required packages, type y whenever the terminal tells you to.
Celebrate, since now you can start your journey of doing astronomy with python.
In the terminal type jupyter notebook and that should start a jupyter notebook, a tool that you’ll learn to live in the coming few days.
Linux distribution (includes Ubuntu)
Install Anaconda (it has most of the packages we need) from here. (Read the instructions carefully)
Open terminal (Press CTRL + ALT + T)
Enter the following command to run
jupyter notebook Python is usually pre-installed in Linux distribution.
If you are using Ubuntu 16.04 then the pre-installed python versions are 2.7.12 and 3.5.2.
To check your python version, type 'python3' in terminal. If it doesn't work, 'python'.
- Confirm that your python version is 3.6+.
If not, install python from https://www.python.org/ftp/python/3.8.2/Python-3.8.2.tar.xz
or use the following command in terminal
sudo apt install python3.8; - Install pip using
sudo apt install python3-pip; - Install jupyter and other important packages using
pip3 install bs4 requests jupyter scipy astropy matplotlib; - Enter the following command to run notebook
jupyter notebook; - Basic syntax, and syntax for loops, conditional statements, and opening simple files, (lists, tuples and dictionaries)
- Parse a file and make a list containing the number of moons for each planet.
- Numpy arrays, indexing, slicing.
- Parse file as above using numpy (np.where, for example).
- Beehive Cluster.
- Defining functions.
- Hubble Law, Number density of galaxies.
- Simple Plotting. Labels, colors, title, grid
- GW astronomy