Another possibility is to use the free version of visual studio.

One possibility (if you have the right version of windows) is to install ubuntu on windows (see here) and then use sudo apt-get install (The command to run once you have macports installed is sudo port install gcc8. Another option is to install macports (where you can install more recent compilers, etc.) See here if you want to do that (this is typically what I do on my macs). Again type g++ -versionĪnd make sure it's there. One option is to use the compiler already on your machine. You probably want to be around version 6.0 Mac Which should show you if you have c++ and what version it is. So no extra work for you! To check if it really is installed, type into your terminal g++ -version LinuxĪll Linux distributions should have the standard C++ compiler, the GNU C++ compiler called gcc or g++, already installed. To turn your C++ code into an executable program, you need a C++ compiler. To install Anaconda for Windows, follow the instructions listed here. To install Anaconda for Mac, follow the instructions listed here. To install Anaconda for Linux, follow the instructions listed here. For what we are doing it probably doesn't matter much which version you use but, all other things being equal, you should probably use the newer version (3.6) as this will be most useful to learn. Please use python 3.xx Python has two version (2.7 and 3.6). Check if your machine is 32-bit or 64-bit and use the corresponding installer. Make sure that you get the right version for your machine. We recommend you install Anaconda on your machine, so that you have all these necessary packages. PythonĪ convenient package of python libraries, which includes important modules like numpy, scipy, and matplotlib, is Anaconda. You will need to install python and C++ on your machine (or find someplace you can ssh into to run them). Many efficient scientific codes, especially those requiring parallelization, are written in C++. C++, a compiled language, is very fast, but has a steeper learning curve than python. However, there are circumstances when python is simply too inefficient, in which case you should probably use C++.For some of the work in this course, python will be the right choice.

Python, an interpreted language, is slow, but is easy-to-use and useful for rapid prototyping of simple programs and data analysis.

We will primarily be using python and C++ for most of your assignments. In this course you will be writing your own code to solve many interesting physics problems with your computer.

Compile cpp mac