In order to follow along with the second part of the "Version Control with Git" lesson from topic 7 on, you will need to have a GitHub account. GitHub accounts are completely free for public repositories and just require your email for registration. They won't spam you and you can also completely remove the account after the workshop if you want so.
You can create the account in github. When you're writing code, it's nice to have a text editor that is optimized for writing code, with features like automatic color-coding of key words. To install it, download the Software Carpentry Windows installer and double click on the file to run it.
This installer requires an active internet connection. Be aware that you must add its installation directory to your system path. Please ask your instructor to help you do this. It should be pre-installed.
Others editors that you can use are Text Wrangler or Sublime Text. Others editors that you can use are Gedit , Kate or Sublime Text. Python is a popular language for scientific computing, and great for general-purpose programming as well. Installing all of its scientific packages individually can be a bit difficult, so we recommend Anaconda , an all-in-one installer. Regardless of how you choose to install it, please make sure you install Python version 3. We will teach Python using the Jupyter Notebook, a programming environment that runs in a web browser.
Scientific Applications under Catalina: Update 7
For this to work you will need a reasonably up-to-date browser. The current versions of the Chrome, Safari and Firefox browsers are all supported some older browsers, including Internet Explorer version 9 and below, are not. General Information Schedule Syllabus Setup Instructions General Information Software Carpentry 's mission is to help scientists and engineers get more research done in less time and with less pain by teaching them basic lab skills for scientific computing.
Accessible restrooms are available.
Sponsors This workshop is possible thanks to the contributions of. Programming in Python Using libraries Working with arrays Reading and plotting data Creating and using functions Loops and conditionals Defensive programming Using Python from the command line Lesson Reference Version Control with Git Creating a repository Recording changes to files: add , commit , Viewing changes: status , diff , Ignoring files Working on the web: clone , pull , push , Resolving conflicts Open licenses Where to host work, and why Lesson Reference The Bash Shell Bash is a commonly-used shell that gives you the power to do simple tasks more quickly.
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Windows Download the Git for Windows installer. Run the installer and follow the steps bellow: Click on "Next". Click on "Next". Keep "Checkout Windows-style, commit Unix-style line endings" selected. Select "Use Windows' default console window" and click on "Next".
Change the Shell in Mac OS X Terminal
If you forgot to do this programs that you need for the workshop will not work properly. If this happens rerun the installer and select the appropriate option. Click on "Install". This will provide you with both Git and Bash in the Git Bash program. Linux The default shell is usually Bash, but if your machine is set up differently you can run it by opening a terminal and typing bash.
Git Git is a version control system that lets you track who made changes to what when and has options for easily updating a shared or public version of your code on github. Windows Git should be installed on your computer as part of your Bash install described above. Linux If Git is not already available on your machine you can try to install it via your distro's package manager. Text Editor When you're writing code, it's nice to have a text editor that is optimized for writing code, with features like automatic color-coding of key words.
Windows nano is a basic editor and the default that instructors use in the workshop. Mac OS X nano is a basic editor and the default that instructors use in the workshop. Linux nano is a basic editor and the default that instructors use in the workshop. Python Python is a popular language for scientific computing, and great for general-purpose programming as well. Install Python 3 using all of the defaults for installation. Download the Python 3 installer for OS X. Download the Python 3 installer for Linux. Pretty cool!
I started automating my macOS setup and discovered that mighty Ansible ecosystem has even Homebrew automation! I've just learned about a super cool command in macOS : mdind. It consults a database to find files using type or filename. It starts with httpd.
In my case, as you can see from the screenshot, it's ready to be installed any minute. I've watched some macOS Catalina reviews based on beta but didn't want to risk installing it on my only work laptop until the final release. Part of my dotfiles strategy is to automate most of initial setup in all of my Linux and Unix environments. Although most attention goes towards dedicated and virtual servers, I do explore options for automating my primary macOS workstation — and that's where Homebrew just keeps on helping. Yes, the easiest is to download package from the official Brave website.
There's an auto-update functionality there too, to be fair. But regular updates can't be easily automated. That's why I think brew install of Brave is a better solution — plus you can update quite a few software packages all at once at regular intervals if you manage them via brew. Give Brave browser a try — it's fast and privacy friendly, which is a great combination. Think Brave Ads are coming to Europe and Brave Sync is something that's constantly being improved between mobile and desktop devices — I keep coming back to this browser to watch its progress. Turns out, plenty of native macOS apps can be installed using the brew package manager.
Among them is Docker, so I decided to try how it installs and works. The easiest is, of course, just to use the native installer provided by Docker maintaners : you download the Docker.tf.nn.threadsol.com/bekax-can-i.php
OSX's default sshd behaviour has limited paths set
But since I wanted to try more automated install, I used brew :. That was it! Overall — great improvement of the steps I would normally take to install Docker. But that's it — after that Docker worked exactly the same and had the very same versions of all the components:.
Quite a few visitors arrived at this blog lately with their reports of " brew command not found ", so I figured a quick post would probably help. So when you get an error about brew not found , this is quite normal and simply means you've never used this software manager before — meaning you need to install it. The official Homebrew website tells that you simply need to run this command to get started:.
The really cool and clever thing about Homebrew is that going forward brew will be auto-updating itself, so you're pretty much guaranteed to be running the latest and greated code.