C++ Programming Style Guidelines. Version 4.9, January 2011 Geotechnical Software Services Copyright © 1996 - 2011 This document is available at 1 Introduction 1.1 Layout of the Recommendations 1.2 Recommendations Importance 2 General Recommendations 3 Naming Conventions 3.1 General 3.2 Specific 4 Files 4.1 Source Files 4.2 Include Files and Include Statements 5 Statements 5.1 Types 5.2 Variables 5.3 Loops 5.4 Conditionals 5.5 Miscellaneous 6 Layout and Comments 6.1 Layout 6.2 White space 6.3 Comments 7 References This document lists C++ coding recommendations common in the C++ development community. The recommendations are based on established standards collected from a number of sources, individual experience, local requirements/needs, as well as suggestions given in [1] - [4].
There are several reasons for introducing a new guideline rather than just referring to the ones above. 1.1 Layout of the Recommendations. Layout of the recommendations is as follows: 4.1 Source Files 5.1 Types. Common Lisp the Language, 2nd Edition. In this greatly expanded edition of the defacto standard, you'll learn about the nearly 200 changes already made since original publication - and find out about gray areas likely to be revised later. Written by the Vice-Chairman of X3J13 (the ANSI committee responsible for the standardization of Common Lisp) and co-developer of the language itself, the new edition contains the entire text of the first edition plus six completely new chapters. They cover: README file and the Digital Press catalog with any distributed electronic copies of Common Lisp the Language.
Known Bugs The LaTeX sources were converted to html using the latex2html program. Because latex2html replaces mathematical formulas, tables, figures, and non-ascii characters with embedded GIFs, you may find that some characters drop out when cutting and pasting the text. The current index is inferior to the one available in the paperbound version and will eventually be replaced with a form-based GLIMPSE index.
Acknowledgments. Code Conventions for the Java Programming Language: Contents. Paul Graham. Coding Standards. Table of Contents The GNU coding standards, last updated March 31, 2014. Copyright © 1992, 1993, 1994, 1995, 1996, 1997, 1998, 1999, 2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014 Free Software Foundation, Inc. Permission is granted to copy, distribute and/or modify this document under the terms of the GNU Free Documentation License, Version 1.3 or any later version published by the Free Software Foundation; with no Invariant Sections, with no Front-Cover Texts, and with no Back-Cover Texts.
A copy of the license is included in the section entitled “GNU Free Documentation License”. 1 About the GNU Coding Standards The GNU Coding Standards were written by Richard Stallman and other GNU Project volunteers. If you did not obtain this file directly from the GNU project and recently, please check for a newer version. Please send corrections or suggestions for this document to bug-standards@gnu.org. 2 Keeping Free Software Free Or go for generality. Practical Common Lisp. This page, and the pages it links to, contain text of the Common Lisp book Practical Common Lisp published by Apress These pages now contain the final text as it appears in the book. If you find errors in these pages, please send email to book@gigamonkeys.com. These pages will remain online in perpetuity—I hope they will serve as a useful introduction to Common Lisp for folks who are curious about Lisp but maybe not yet curious enough to shell out big bucks for a dead-tree book and a good Common Lisp tutorial for folks who want to get down to real coding right away.
However, don't let that stop you from buying the printed version available from Apress at your favorite local or online bookseller. For the complete bookstore browsing experience, you can read the letter to the reader that appears on the back cover of the treeware edition of the book. Amazon | Powells | Barnes & Noble Download source code: tar.gz | zip Like what you've read?
Top 50 Free Open Source Classes on Computer Science : Comtechtor. Computer science is an interesting field to go into. There are a number of opportunities in computer science that you can take advantage of. With computers increasingly becoming a regular part of life, those who can work with computers have good opportunities. You can find a good salary with a program in computer science, and as long as you are careful to keep up your skills. Here are 50 free opencourseware classes that can help you learn more about computer science: Introduction to Computer Science Learn the basics of computer science, and get a foundation in how computer science works. Introduction to Computer Science: Learn about the history of computing, as well as the development of computer languages. Comprehensive Computer Science Collections If you are interested in courses that are a little more comprehensive in nature, you can get a good feel for computer science from the following collections: Programming and Languages Computer Software Computer Systems and Information Technology.
Tutorial - Learn Python in 10 minutes. NOTE: If you would like some Python development done, my company, Stochastic Technologies, is available for consulting. This tutorial is available as a short ebook. The e-book features extra content from follow-up posts on various Python best practices, all in a convenient, self-contained format. All future updates are free for people who purchase it. Preliminary fluff So, you want to learn the Python programming language but can't find a concise and yet full-featured tutorial.
Properties Python is strongly typed (i.e. types are enforced), dynamically, implicitly typed (i.e. you don't have to declare variables), case sensitive (i.e. var and VAR are two different variables) and object-oriented (i.e. everything is an object). Getting help Help in Python is always available right in the interpreter. >>> help(5)Help on int object:(etc etc) >>> dir(5)['__abs__', '__add__', ...] >>> abs. Syntax Python has no mandatory statement termination characters and blocks are specified by indentation.
Strings. How to Think Like a Computer Scientist — How to Think Like a Computer Scientist: Learning with Python 3. Version date: October 2012 by Peter Wentworth, Jeffrey Elkner, Allen B. Downey, and Chris Meyers (based on 2nd edition by Jeffrey Elkner, Allen B.
Downey, and Chris Meyers) Corresponding author: p.wentworth@ru.ac.za Source repository is at For offline use, download a zip file of the html or a pdf version (the pdf is updated less often) from Search PageCopyright NoticeForewordPrefacePreface-3 This Rhodes Local Edition (RLE) of the bookContributor ListChapter 1 The way of the programChapter 2 Variables, expressions, and statementsChapter 3 Hello, little turtles! Computer Science 61A - Lecture 1. How to be a Programmer: A Short, Comprehensive, and Personal Summary.
Debugging is the cornerstone of being a programmer. The first meaning of the verb to debug is to remove errors, but the meaning that really matters is to see into the execution of a program by examining it. A programmer that cannot debug effectively is blind. Idealists that think design, or analysis, or complexity theory, or whatnot, are more fundamental are not working programmers.
The working programmer does not live in an ideal world. Even if you are perfect, your are surrounded by and must interact with code written by major software companies, organizations like GNU, and your colleagues. Debugging is about the running of programs, not programs themselves. To get visibility into the execution of a program you must be able to execute the code and observe something about it.
The common ways of looking into the ‘innards’ of an executing program can be categorized as: Some beginners fear debugging when it requires modifying code. How to Debug by Splitting the Problem Space.