No matter what you ultimately decide to use, the first step is definitely going to be going to the Mac App Store and download Xcode. You could do everything in Xcode yourself, but if you're the kind of person who prefers to go without an IDE then you'll want to launch Xcode, then go into the Xcode menu at the top of the screen, pick Preferences from the drop down, then pick the 'Downloads' tab and download the Command Line Tools. This will install all the compilers and linkers and what not so that you can use whatever text editor to write your code in and then build and run from the command line.
Why do I need to learn R programming for Data Science? Programmers are usually attracted to learn R programming because of its extraordinary capabilities to generate plots and charts with just few lines of code which would otherwise require several 100’s of lines of code in any other language.
Edit: I strongly discourage you from using Eclipse. It is without a doubt, by and far, the worst IDE I've ever had the displeasure of using. Click to expand.What part of 'Download Xcode' isn't simple? In the past, Xcode was included as an optional install from the OS X install CD. Since Apple has gone digital and moved OS upgrades to the App Store, they also moved Xcode to the App Store. I'd say this is as simple as ever, if not more simple now that you don't have to dig up your install CD if you didn't install Xcode when you installed OS X.
Programming on Windows is definitely harder. You have numerous options to choose from, each with their own set of pros and cons.
Some (most?) distros of Linux might be easier than OS X, given that the tools are often included with the OS. Though there are many parts of programming that I would agree are excessively complicated, getting an IDE on OS X is definitely not one of them. (I guess Apple could have a developer folder be part of the standard OS X set up and have Xcode always there. Most users wouldn't ever need it though, so it'd basically just be causing needless bloat in the OS.). Click to expand.?
Xcode is very simple. To start a C project do this: 1.
Click 'Create new Project'. Click 'Application' OSX on the left side of the screen, and then click 'Command Line Tool' on the right. Click 'Next' and then enter a Product Name, Organization Name, and Company Identifier. You can make whatever you want up for these three.
Choose 'C' under 'Type' and I would suggest turning off Automatic Reference Counting. Choose where you want to save your project and click Next (maybe its Finish I forget). Once your new project opens choose 'main.cpp' on the right hand side and you'll see some template code in the left with Hello World in it.
Type your code and hit 'Run. In the top right under 'View' you'll see three boxes, clicking them will give you different panel options. Make sure the middle one is clicked so you can see the result of your code. EDIT: Ok I see all those steps haha. Its actually really simple whenever you use it for a little bit. It has a lot of great tools that you'll be able to take advantage of later on.
Click to expand.No. Real masochists had Altair or Imsai computers (remember those and the 8080 CPU?) They had a row of toggle switches on the front panel. We toggled in the ones and zeros for the data and address bus then pressed the 'load' button, incremented the address in binary, toggled in the next data byte, hit 'load' and continued like that one byte at a time. All because ROM was expensive. Yes they had ROM in those days but the true masochists preferred the switches to spending the $200 or so for a ROM card.
(back when $200 was two weeks pay). Real masochists had Altair or Imsai computers (remember those and the 8080 CPU?) They had a row of toggle switches on the front panel. We toggled in the ones and zeros for the data and address bus then pressed the 'load' button, incremented the address in binary, toggled in the next data byte, hit 'load' and continued like that one byte at a time. All because ROM was expensive. Yes they had ROM in those days but the true masochists preferred the switches to spending the $200 or so for a ROM card. (back when $200 was two weeks pay). Xcode is not the best IDE for non-Cocoa Programming I personally prefer not to use Xcode for C programming.
I use for C and Xcode for Objective-C/Cocoa Libraries. Although Xcode is a beautiful IDE, but it's really designed for developers to take advantage of the Cocoa libraries and other platform-specific documentation.
In addition, the compiler for C source code that ships with Xcode is buggy and you will find yourself downloading an alternative such as (a command-line compiler) anyway. Eclipse can be downloaded via the link bearing its name.
R is a programming language and software environment for statistical analysis, graphics representation and reporting. R was created by Ross Ihaka and Robert Gentleman at the University of Auckland, New Zealand, and is currently developed by the R Development Core Team. The core of R is an interpreted computer language which allows branching and looping as well as modular programming using functions. R allows integration with the procedures written in the C, C++,.Net, Python or FORTRAN languages for efficiency.
R is freely available under the GNU General Public License, and pre-compiled binary versions are provided for various operating systems like Linux, Windows and Mac. R is free software distributed under a GNU-style copy left, and an official part of the GNU project called GNU S.
Evolution of R R was initially written by Ross Ihaka and Robert Gentleman at the Department of Statistics of the University of Auckland in Auckland, New Zealand. R made its first appearance in 1993. A large group of individuals has contributed to R by sending code and bug reports. Since mid-1997 there has been a core group (the 'R Core Team') who can modify the R source code archive. Features of R As stated earlier, R is a programming language and software environment for statistical analysis, graphics representation and reporting.
The following are the important features of R −. R is a well-developed, simple and effective programming language which includes conditionals, loops, user defined recursive functions and input and output facilities. R has an effective data handling and storage facility,. R provides a suite of operators for calculations on arrays, lists, vectors and matrices. R provides a large, coherent and integrated collection of tools for data analysis.
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R provides graphical facilities for data analysis and display either directly at the computer or printing at the papers. As a conclusion, R is world’s most widely used statistics programming language. It's the # 1 choice of data scientists and supported by a vibrant and talented community of contributors. R is taught in universities and deployed in mission critical business applications. This tutorial will teach you R programming along with suitable examples in simple and easy steps.