{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# Today's Agenda\n", "* Basic bash commands\n", "* Paths\n", "* Jupyter notebooks\n", "* Python 2 vs Python 3" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# Quick Info\n", "\n", "* Make sure you have completed the form: [https://goo.gl/y2ammQ](https://goo.gl/y2ammQ) to be added to the __Slack__ group and __Github Group__.\n", "* Mike and I will be meeting to finalize the schedule and start the interactive part of the __course__.\n", "* Starting this week, the notebooks will be available the __Sunday__ before the class, so that you know the schedule ahead of time and decide if you want to join or not.\n", "* We added a new plug-in [__Anamak Bot__](http://anamakbot.com) to make it easier to ask questions if you want to remain anonymous.\n", "* Next week we'll start with the interactive session of _Python_. " ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# Before we begin, let's ...\n", "\n", "First, you will need to __clone__ the existing repository for the course.\n", "\n", "```bash\n", "cd /Path/to/Repositories/folder\n", "```\n", "Then clone the repository [https://github.com/VandyAstroML/Vanderbilt_Computational_Bootcamp](https://github.com/VandyAstroML/Vanderbilt_Computational_Bootcamp)\n", "```bash\n", "git clone https://github.com/VandyAstroML/Vanderbilt_Computational_Bootcamp\n", "```\n", "\n", "And now _pull_ all the changes to the repository\n", "```bash\n", "git pull\n", "```\n", "\n", "Now, whenever you do \"`git pull`\" from inside that directory, you'll have the updated version of the repository and notebooks." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# Introduction to bash\n", "\n", "bash is a command-line interpreter or shell that instructs the operating system to carry out commands on a line-by-line basis, or when written together as scripts and is run in a terminal. bash is a Unix-based shell that we will be focusing on, but there are others out there (such as tcsh). If you're not sure what shell you're using, running the commands 'echo \\$0' or 'ps -p \\$\\$' will *usually* tell you. In bash, \"\\$\" denotes at the start of a string denotes a variable.\n", "\n", "\n", "### Basic bash commands\n", "\n", "\n", "Not sure how to use something still? Or if it does what you want it to? Google usually helps (and will usually bring you to a mostly useful answer at stackoverflow)\n", "\n", "### Paths\n", "\n", "When you try to run an executable, the path variable is a list of locations where it will check to find the file to run. This allows you to download or write new programs/scripts and be able to call them anywhere without having to always include the full path to the file. For example, this typically includes locations like /usr/bin.\n", "\n", "To check what is in the path, you can run 'echo \\$PATH' and see a list of the directories that will be checked. You can add new directories to the list of stored paths by opening .profile in a text editor, and adding a line like this:\n", "
PATH=$PATH:newdirectorypath 
\n", "After adding this, every time you start a terminal, this location will be part of the directories that will be checked for executibles.\n", "\n", "An example for this is _Ananconda_. It appends the Anaconda directory to your '~/.bashrc' file.\n", "![Anaconda_Path](./images/Anaconda_PATH.png)\n", "\n", "### Aliases\n", "\n", "Aliases are ways to call a set of commands that you use frequently with a short nickname. In Linux systems, these are often stored in the .bashrc file (a file that contains the settings for when you run a bash terminal) or in .profile (a file that contains settings for running shell scripts). For Macs, these are stored in .bash_profile (again, contains settings for running shell scripts, but will not be seen by shells other than bash). We can talk about them later, but useful to know they're an available tool.\n" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Adding aliases to your `~/.bashrc` file\n", "\n", "Normally, you add _aliases_ like e.g.\n", "```bash\n", "alias somename=' cd /useful/directory/for/research'\n", "```\n", "and then you can use \"somename\" to access to that directory.\n", "\n", "But that is works for the current shell session. But normally you want to be able to access these aliases _at any given time_. So you need to __add it to your ~/.bashrc file__." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "1. __First create an \"~/.aliases file__\n", "```bash\n", "touch ~/.aliases\n", "```\n", "2. Open the file using your preferred text editors. I use _vim_ for this example\n", "```bash\n", "vim ~/.aliases\n", "```\n", "3. Add useful aliases to the file.\n", "![Aliases in my _.aliases_ file](./images/aliases_vc.png)\n", "4. Add it to your __~/.bashrc__ file by _sourcing_ it.\n", "```bash\n", "vim ~/.bashrc\n", "```\n", "![Sourcing Aliases to bashrc file](./images/source_aliases.png)\n", "\n", "Everytime that you start a new shell session, you will be able to use the aliases in the _~/.aliases_ file.\n", "\n", "Some __useful__ aliases for are:\n", "\n", "```bash\n", "alias lll='ls -lah' # Lists files and directories (including hidden ones) as a list\n", "alias lla=lll # Same as above\n", "alias llh='ls -lh' # Lists files and directories (only visible ones) in a human-readable format\n", "alias llt='ls -lahtr' # Lists files based on _date of last modified_\n", "alias LS='ls' # In case you misspell \"ls\" \n", "alias sl='ls' # In case you misspell \"ls\" \n", "alias SL=ls # In case you misspell \"ls\" \n", "alias CLEAR='clear'\n", "alias clc='clear'\n", "alias CLC='clear'\n", "alias en='emacs -nw' # Opens up a new \"Emacs\" window\n", "alias pushd='cd -' # Returns to the previous directory\n", "alias untar_file='tar -zxvf $1' # Untars a file to the current directory\n", "\n", "# You can also use functions as aliases\n", "scppics() {\n", " scp -rp username@host.address:$1 /path/to/destination/folder\n", " }\n", "\n", "git_ref(){\n", " git remote -v\n", " git fetch upstream\n", " git checkout master\n", " git merge upstream/master\n", " git merge upstream/master\n", " }\n", "\n", "# You can add the ssh-keys for easy access to Github, or other computers\n", "alias skeys='ssh-add ~/.ssh/id_rsa; ssh-add ~/.ssh/personalid; ssh-add ~/.ssh/vpac; ssh-add ~/.ssh/github_vandy'\n", "```" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Quick bash tutorial\n", "\n", "To go over some of the commands, we're going to try doing some basic operations with some bash commands. To do this, first open up a terminal window. Run one of the commands from earlier to check that you're running bash by default. If you're not, you *should* be able to start a bash shell by just running 'bash'.\n", "\n", "Now we'll set up a quick directory to play in. I'll call it compshop\n", "
mkdir compshop
\n", "And then go into this directory\n", "
cd compshop
\n", "We can quickly check to see the full path of where we are now\n", "
pwd
\n", "And we can confirm that right now the file is empty, too\n", "
ls
\n", "Because we're working with computers, we have to print this to the screen at some point....\n", "
echo Hello, World!
\n", "Since a lot of what bash is useful for is moving files around, we'll make a file to work with. We can also have echo write to a file by adding '> [filename]' at the end of the command.\n", "
echo Hello, World! > filegreeting
\n", "A quick check again with ls and we'll see we now have one file in the directory. We can also see that that file contains exactly what we wanted it to\n", "
head filegreeting
\n", "We can make a second copy of this file\n", "
cp filegreeting filegreeting2
\n", "Checking ls again, we now have two files. If we wanted to rename one of them, we can just use the mv command for that\n", "
mv filegreeting2 filegreetings
\n", "Check ls again, and we still have two files, but we changed the name of one of them. If we want to see more functionality about what ls can do, there's always google, but we can also check from the command line too. Try each of these:\n", "
man ls
\n", "
ls --help
\n", "You'll see that they both start off with how we have to use ls, and then include a lot of information about all the different options we can run. For example, we can list all files, even those that would normally be hidden, by running this:\n", "
ls -a
\n", "If we want to see the last modification dates and file sizes of all the files, we can run\n", "
ls -l
\n", "We can even combine these two, so we see all files (even ones that might be hidden) and get their sizes, dates, etc.\n", "
ls -al
\n", "Finally, as we've tried out most of the bash commands here, we'll get rid of these two files. We can just give a list of files to be removed.\n", "
rm filegreeting filegreetings
\n", "\n", "All of these operations can get a lot more complex or sophisticated (like echo did when we had it write to a file), but these are a lot of the most common commands to show up in bash." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# Jupyter notebooks\n", "\n", "A Jupyter notebook is a file (like this one) that contains cells that can contain either plain text or code. So far, we've only been using plain text, but as we start working with Python, we can explain stuff in the text, and then you'll be able to run the sections that contain code and see what happens, as well as change the code to see how those changes effect the results. The first example of this is going to be in the last section today.\n", "\n", "### Running Jupyter notebooks\n", "\n", "There's two ways of viewing Jupyter notebooks, both of which take place inside a browser. On the github we're using, the notebooks can be ran directly on github. In this sense, it works the same as simply visiting a website. However, this will only allow you to view it as a static page. It won't allow you to use any of the interactive features of a Jupyter notebook. For that, you'll need to use the second method, which takes place locally.\n", "\n", "The second way requires having Jupyter downloaded, although Anaconda should have included this. From here, you may have an icon to start Jupyter. You can also start it from the terminal by running 'jupyter notebook'. This starts a jupyter server, and will also open up a tab in your default browser. Using that default browser, go through your directories to locate the notebook file that you want to run (you can also run 'jupyter notebook' while you're in the directory that file is in to speed this up).\n", "\n", "\n", "### Create Jupyter notebooks\n", "\n", "Creating a Jupyter notebook file is very similar to the second way of accessing a Jupyter notebook file. As before, you have to run 'jupyter notebook' to start up the Jupyter server. In this case, though, you go to the directory you want the file to be located, and then select 'new' in the upper-right corner and select a Python notebook.\n", "\n", "For now, we won't go into the details of formatting within a Jupyter notebook." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "In order to create a new iPython notebook, one starts one by" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "```bash\n", " $: cd /path/to/directory\n", " $: jupyter notebook \n", "```\n", "\n", "This will start a _kernel_ in the current directory.\n", "![iPython Notebook](./images/iPython_notebook_Screenshot.png)\n", "\n", "You then click on \"_New > Python 2_\" (or Python 3 if you have that one installed) and it will start a new iPython notebook.\n", "![iPython Notebook](./images/iPython_notebook_Screenshot_2.png)" ] }, { "cell_type": "code", "execution_count": 1, "metadata": { "collapsed": false }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "50\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "/Users/victor2/anaconda/lib/python2.7/site-packages/matplotlib/font_manager.py:273: UserWarning: Matplotlib is building the font cache using fc-list. This may take a moment.\n", " warnings.warn('Matplotlib is building the font cache using fc-list. This may take a moment.')\n" ] } ], "source": [ "# You can easily run and debug your code\n", "%matplotlib inline\n", "\n", "from __future__ import (absolute_import, division,\n", " print_function, unicode_literals)\n", "\n", "import matplotlib\n", "import numpy as np\n", "import matplotlib.pyplot as plt\n", "import seaborn as sns\n", "\n", "x = np.arange(50)\n", "y = x.copy()\n", "\n", "print( len(x))\n", "\n" ] }, { "cell_type": "code", "execution_count": 2, "metadata": { "collapsed": false }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "[ 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24\n", " 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49]\n" ] } ], "source": [ "# Printing arrays\n", "print(x)" ] }, { "cell_type": "code", "execution_count": 3, "metadata": { "collapsed": false }, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 3, "metadata": {}, "output_type": "execute_result" }, { "data": { 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c9HGmSNE8n2Wbu9NHJ/Cp+W7XYrShTRgQSKaeEOI6i0xB6tctcS5jh6FMWtc7PAkhxO3n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\n", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Plotting arrays\n", "import numpy as np\n", "from scipy.stats import kendalltau\n", "import seaborn as sns\n", "sns.set(style=\"ticks\")\n", "\n", "rs = np.random.RandomState(11)\n", "x = rs.gamma(2, size=1000)\n", "y = -.5 * x + rs.normal(size=1000)\n", "\n", "sns.jointplot(x, y, kind=\"hex\", stat_func=kendalltau, color=\"#4CB391\")" ] }, { "cell_type": "code", "execution_count": 4, "metadata": { "collapsed": false }, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 4, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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pN1dROJVrxJSqHIsZuHhc2rbqSmXVosSKVaEwHYSSiVKFtoDrTH+j2tS6ktvR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\nzuW+TjSfcJKRJLrPDwTdJkpHHY88HnR/9S9bg+6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V5CBj8aJo/ugTVkF+FratLXDmZGTL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\n3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c3r+uXjdB6E8AlHr7fO2+A20uwtJyNHzrbrNIMBPbzlQO91yOQS8YcMq9UKs9mMsrIy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\n49+7P8DW+26XXLN7VlTilZOf4Z4Vlfj1yc/wrQeW4vjp85yMj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"text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Linear Regressions\n", "\n", "df = sns.load_dataset(\"iris\")\n", "sns.pairplot(df, hue=\"species\")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "You can also run complex commands like the following:" ] }, { "cell_type": "code", "execution_count": 5, "metadata": { "collapsed": false }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Worker: 0\n", "Worker: 1\n", "Worker: 3\n", "Worker: 2\n" ] } ], "source": [ "import multiprocessing\n", "\n", "def worker(num):\n", " \"\"\"thread worker function\"\"\"\n", " print ('Worker:', num)\n", " return\n", "\n", "jobs = []\n", "for i in range(5):\n", " p = multiprocessing.Process(target=worker, args=(i,))\n", " jobs.append(p)\n", " p.start()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# Python 2 vs Python 3\n", "\n", "It's important to take a moment to make a general mention about Python. In most cases in programming, it's fair to assume that everyone is working in the 'newest' version of the language that's stable. Python, however, is in a unique spot. Python 2.7 came out in 2010, but Python 3 started being released in 2008, and is currently up to Python 3.6, which came out in 2016. So the most recent Python 3 major update is 6 years newer. However, Python 2 and Python 3 have some differences that have meant not all Python 2 code can work with Python 3 without things being rewrittten. This means if you're using old code, you may need to use Python 2 if it hasn't been updated.\n", "\n", "There's two basic differences to mention, but more can be found [here](http://sebastianraschka.com/Articles/2014_python_2_3_key_diff.html), with examples of how the code runs in both Python 2 and Python 3.\n", "\n", "The first big difference is how they treat division. In Python 2, division of two integers will return an integer answer. This is fine for 8/2, which will always be 4. However 7/2 will return 3 as the answer. Older code may be written to take advantage of this on purpose. Python 3, however, will not do this, and so 7/2=3.5. This is correct math, but may not be what older code wanted to have happen.\n", "\n", "The second big difference is that there's additional formatting required for print statements. This will mean that Python 2 code with any print statements in the old format will have a syntax error when it's run in Python 3.\n", "\n", "The below block of code is some simple Python that will print out what the Python version that is being run is. To run the block of code, select the cell and then hit shift+enter and the Python code will run, confirming which version you're using." ] }, { "cell_type": "code", "execution_count": 6, "metadata": { "collapsed": false }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "2.7.11 |Anaconda 2.5.0 (x86_64)| (default, Dec 6 2015, 18:57:58) \n", "[GCC 4.2.1 (Apple Inc. build 5577)]\n", "Worker: 4\n" ] } ], "source": [ "import sys\n", "print (sys.version)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Normally you have \"Python 2\" code that you want to use in \"Python 3\".\n", "But \"Python 3\" code can sometimes not be compatible with \"Python 3\".\n", "\n", "This is why there is a module called \"[__future__](https://pypi.python.org/pypi/future)\" that allows for a script to be run in both Python 2 and 3\n", "\n", "You would need to add the following line" ] }, { "cell_type": "code", "execution_count": 7, "metadata": { "collapsed": true }, "outputs": [], "source": [ "from __future__ import (absolute_import, division,\n", " print_function, unicode_literals)\n", "\n", "from builtins import (\n", " bytes, dict, int, list, object, range, str,\n", " ascii, chr, hex, input, next, oct, open,\n", " pow, round, super,\n", " filter, map, zip)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Adding this line at the __top__ of your script will make it easier to use/migrate to Python 3.\n", "\n", "This [page](http://python-future.org/quickstart.html) is a __Quickstart__ on how to convert Python 2 scripts into Python 3, and (maybe, if possible) vice versa." ] } ], "metadata": { "kernelspec": { "display_name": "Python 2", "language": "python", "name": "python2" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 2 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython2", "version": "2.7.11" } }, "nbformat": 4, "nbformat_minor": 1 }