Provides advice on succeeding as a computer programmer in the corporate world, covering such topics as the interview process, finding a mentor, coding, dealing with a boss, and avoiding blunders.
Confused about zSeries Mainframes? Need to understand the z/OS operating system - and in a hurry? Then you've just found the book you need.Avoiding technical jargon, this book gives you the basic facts in clear, light-hearted, entertaining English. You'll quickly learn what Mainframes are, what they do, what runs on them, and terms and terminology you need to speak Mainframe-ese.But it's not all technical. There's also invaluable information on the people that work on Mainframes, Mainframe management issues, new Mainframe trends, and other facts that don't seem to be written down anywhere else.Programmers, managers, recruitment consultants, and industry commentators will all find this book their new best friend when trying to understand the Mainframe world.
This is the latest edition of our classic COBOL book that has set the standard for structured design and coding since the mid-1970s. So if you want to learn how to write COBOL programs the way they're written in the best enterprise COBOL shops, this is the book for you. And when you're done learning from this book, it becomes the best reference you'll ever find for use on the job. Throughout the book, you will learn how to use COBOL on IBM mainframes because that's where 90% or more of all COBOL is running. But to work on a mainframe, you need to know more than just the COBOL language. That's why this book also shows you: how to use the ISPF editor for entering programs; how to use TSO/E and JCL to compile and test programs; how to use the AMS utility to work with VSAM files; how to use CICS for developing interactive COBOL programs; how to use DB2 for developing COBOL programs that handle database data; how to maintain legacy programs. If you want to learn COBOL for other platforms, this book will get you off to a good start because COBOL is a standard language. In fact, all of the COBOL that's presented in this book will also run on any other platform that has a COBOL compiler. Remember, though, that billions of lines of mainframe COBOL are currently in use, and those programs will keep programmers busy for many years to come.
Popular Mechanics inspires, instructs and influences readers to help them master the modern world. Whether it’s practical DIY home-improvement tips, gadgets and digital technology, information on the newest cars or the latest breakthroughs in science -- PM is the ultimate guide to our high-tech lifestyle.
Sams Teach Yourself COBOL in 24 Hours teaches the basics of COBOL programming in 24 step-by-step lessons. Each lesson builds on the previous one providing a solid foundation in COBOL programming concepts and techniques. This hands-on guide is the easiest, fastest way to begin creating standard COBOL compliant code. Business professionals and programmers from other languages will find this hands-on, task-oriented tutorial extremely useful for learning the essential features and concepts of COBOL programming. Writing a program can be a complex task. Concentrating on one development tool guides you to good results every time. There will be no programs that will not compile!
Little known to many, R works just as well with JavaScript—this book delves into the various ways both languages can work together. The ultimate aim of this work is to put the reader at ease with inviting JavaScript in their data science workflow. In that respect the book is not teaching one JavaScript but rather we show how little JavaScript can greatly support and enhance R code. Therefore, the focus is on integrating external JavaScript libraries and no prior knowledge of JavaScript is required. Key Features: ● Easy to pick up. ● An entry way to learning JavaScript for R. ● Covers topics not covered anywhere else. ● Easy to follow along.
Peter Seibel interviews 15 of the most interesting computer programmers alive today in Coders at Work, offering a companion volume to Apress’s highly acclaimed best-seller Founders at Work by Jessica Livingston. As the words “at work” suggest, Peter Seibel focuses on how his interviewees tackle the day-to-day work of programming, while revealing much more, like how they became great programmers, how they recognize programming talent in others, and what kinds of problems they find most interesting. Hundreds of people have suggested names of programmers to interview on the Coders at Work web site: www.codersatwork.com. The complete list was 284 names. Having digested everyone’s feedback, we selected 15 folks who’ve been kind enough to agree to be interviewed: Frances Allen: Pioneer in optimizing compilers, first woman to win the Turing Award (2006) and first female IBM fellow Joe Armstrong: Inventor of Erlang Joshua Bloch: Author of the Java collections framework, now at Google Bernie Cosell: One of the main software guys behind the original ARPANET IMPs and a master debugger Douglas Crockford: JSON founder, JavaScript architect at Yahoo! L. Peter Deutsch: Author of Ghostscript, implementer of Smalltalk-80 at Xerox PARC and Lisp 1.5 on PDP-1 Brendan Eich: Inventor of JavaScript, CTO of the Mozilla Corporation Brad Fitzpatrick: Writer of LiveJournal, OpenID, memcached, and Perlbal Dan Ingalls: Smalltalk implementor and designer Simon Peyton Jones: Coinventor of Haskell and lead designer of Glasgow Haskell Compiler Donald Knuth: Author of The Art of Computer Programming and creator of TeX Peter Norvig: Director of Research at Google and author of the standard text on AI Guy Steele: Coinventor of Scheme and part of the Common Lisp Gang of Five, currently working on Fortress Ken Thompson: Inventor of UNIX Jamie Zawinski: Author of XEmacs and early Netscape/Mozilla hacker
Master the skills you need to take advantage of the booming market for mainframe programmers. Programmers acknowledge that understanding the internals of the machine helps them write more efficient code in cobol, C, and other high-level languages. Whether you are working on a Year 2000 team or setting up an e-commerce application, this book gets you up and running with the skills you'll need to retrofit systems and move mainframe programs into the 21st century. Designed to build skills rapidly and intuitively, Mainframe Assembler Programming: * Teaches you how to program mainframe Assembler on your PC * Starts you programming usable code from day 1, page 1 * Structures all lessons around real-world business applications * Uses the same five data sets throughout, so you get progressively more sophisticated results as you learn. On the enclosed disk you'll find: * PC/370-lets you program and execute mainframe Assembler on your PC * Source code for all examples from the book A rapid introduction or a refresher for experienced programmers, Mainframe Assembler Programming gives you the know-how you need to program for productivity and quality in the mainframe environment.
The real challenge of programming isn't learning a language's syntax—it's learning to creatively solve problems so you can build something great. In this one-of-a-kind text, author V. Anton Spraul breaks down the ways that programmers solve problems and teaches you what other introductory books often ignore: how to Think Like a Programmer. Each chapter tackles a single programming concept, like classes, pointers, and recursion, and open-ended exercises throughout challenge you to apply your knowledge. You'll also learn how to: –Split problems into discrete components to make them easier to solve –Make the most of code reuse with functions, classes, and libraries –Pick the perfect data structure for a particular job –Master more advanced programming tools like recursion and dynamic memory –Organize your thoughts and develop strategies to tackle particular types of problems Although the book's examples are written in C++, the creative problem-solving concepts they illustrate go beyond any particular language; in fact, they often reach outside the realm of computer science. As the most skillful programmers know, writing great code is a creative art—and the first step in creating your masterpiece is learning to Think Like a Programmer.