EASY PROGRAMMING IN LINUX C, PERL, PYTHON AND R

Acquaint yourself with programming languages for the present, past and future technologies and applications. This book helps you easily learn programming in Linux, C, Perl, Python and R. It helps you start learning some commands, using some functions, progressively coding/ scripting and finally developing your own applications. It also helps you to efficiently use the computational power and resources. The book includes Easy learning Linux - commands and programming Easy programming in C - from basics to building your own C libraries Easy programming in Perl - from basics to building your own Perl modules Easy programming in Python - from basics to building your own Python modules Easy programming in R - from basics to building your own R packages Integration of these programming languages in different ways Parallel processing in C, Perl, Python, R programming languages including bash This book is a guide for the beginners, practice for the learners and handy for the experts. This book is like a complete package for programming. Learn basics through Linux and C, then scripting through Perl, then start developing applications through Python, make statistical inferences through R and finally elevate your skills through programming integration and parallel processing. Linux - commands, bash programming and so on. C - data types, operators, decision control, case control, loops, functions, pointers, arrays, structures, file handling, parsing command line arguments, building your own libraries and so on. Perl - data types, operators, built-in functions, decision control, arrays, hashes, loops, loop control regular expressions, labels, subroutines, file handle, parsing command line arguments, building your own modules and so on. Python - Data types, operators, decision controls, loops, containers, functions, classes, file handle, built-in functions, built-in modules, scripting, parsing command line arguments, building your own modules, and using some external modules including of machine learning, image analysis, neural network so on. R - data types, operators, sequences, vectors, matrices, data frames, decision controls, loops, reading and writing tables, plotting graphs, statistics and built-in functions, scripting, building your own package, and using some external packages. Programming integration - implementations of languages and combining programs of different languages Parallel processing - in C, Perl, Python, R and bash. CTA=call