How to Think Like a Computer Scientist Learning with Python by Allen Downey, Jeff Elkner and Chris Meyers. This book is now available for sale at Lulu.com. How to Think... is an introduction to programming using Python, one of the best languages for beginners. How to Think... is a Free Book available under the GNU Free Documentation License. Please send suggestions, corrections and comments about the book to feedback{at}thinkpython{dot}com. Download The book is available in a variety of electronic formats: Precompiled copies of the book are available in PDF and Postscript . Translations Here are some translations of the book into other (natural) languages: Spanish translation by Gregorio Inda. Other Free Books by Allen Downey are available from Green Tea Press. If you are using this book and would like to make a contribution to support my work, please consider making a donation toward my web hosting bill by clicking on the icon below.
The Python Tutorial — Python v3.0.1 documentation Python is an easy to learn, powerful programming language. It has efficient high-level data structures and a simple but effective approach to object-oriented programming. Python’s elegant syntax and dynamic typing, together with its interpreted nature, make it an ideal language for scripting and rapid application development in many areas on most platforms. The Python interpreter and the extensive standard library are freely available in source or binary form for all major platforms from the Python Web site, and may be freely distributed. The same site also contains distributions of and pointers to many free third party Python modules, programs and tools, and additional documentation. The Python interpreter is easily extended with new functions and data types implemented in C or C++ (or other languages callable from C). This tutorial introduces the reader informally to the basic concepts and features of the Python language and system.
The Little Book of Semaphores Allen B. Downey Download the book in PDF now! The video Watch an introduction to semaphores (and Free Books) I presented at Northeastern University: The book The Little Book of Semaphores is a free (in both senses of the word) textbook that introduces the principles of synchronization for concurrent programming. In most computer science curricula, synchronization is a module in an Operating Systems class. The approach of this book is to identify patterns that are useful for a variety of synchronization problems and then show how they can be assembled into solutions. The book covers the classical problems, including "Readers-writers," "Producer-consumer", and "Dining Philosophers." Second edition! The second edition of the book is now available in Postscript and PDF. In addition, the LaTeX source code is available in a tar file. Please send comments and corrections to semaphores{at}greenteapress{dot}com. Example code Other Free Books From Green Tea Press:
Learning Perl the Hard Way by Allen B. Downey. Download this book in PDF. Read other books from Green Tea Press. Do we really need another Perl book? I want a book for people who already know how to program in another language, but don't know Perl. This book is a work in progress. Learning Perl the Hard Way is a free book available under the GNU Free Documentation License. Printable versions of the book are available in PDF and gzipped Postscript. Non-Programmer's Tutorial for Python 3/Print version All example Python source code in this tutorial is granted to the public domain. Therefore you may modify it and relicense it under any license you please. Since you are expected to learn programming, the Creative Commons Attribution-ShareAlike license would require you to keep all programs that are derived from the source code in this tutorial under that license. Since the Python source code is granted to the public domain, that requirement is waived. This tutorial is more or less a conversion of Non-Programmer's Tutorial for Python 2.6. The Non-Programmers' Tutorial For Python 3 is a tutorial designed to be an introduction to the Python programming language. If you have programmed in other languages I recommend using Python Tutorial for Programmers written by Guido van Rossum. If you have any questions or comments please use the discussion pages or see Authors page for author contact information. Thanks go to James A. Other resources First things first Hello, World! Halt! Mac users Output:
Systems analyst A systems analyst researches problems, plans solutions, recommends software and systems, at least at the functional level, and coordinates development to meet business or other requirements. Although they may be familiar with a variety of programming languages, operating systems, and computer hardware platforms, they do not normally involve themselves in the actual hardware or software development. Because they often write user requests into technical specifications, the systems analysts are the liaisons between vendors and information technology professionals.[1] They may be responsible for developing cost analysis, design considerations, staff impact amelioration, and implementation time-lines. A systems analyst may: The system development life cycle (SDLC) is the traditional system development method that organizations use for large-scale IT Projects. The SDLC is a structured framework that consists of sequential processes by which information system are developed. See also[edit]
Programmer British countess and mathematician Ada Lovelace is considered the first computer programmer, as she was the first to write and publish an algorithm intended for implementation on Charles Babbage's analytical engine, in October 1842, intended for the calculation of Bernoulli numbers.[8] Lovelace was also the first person to comment on the potential for computers to be used for purposes other than computing calculations. Because Babbage's machine was never completed to a functioning standard in her time, she never saw her algorithm run. The first person to run a program on a functioning modern electronically based computer was computer scientist Konrad Zuse, in 1941. The ENIAC programming team, consisting of Kay McNulty, Betty Jennings, Betty Snyder, Marlyn Wescoff, Fran Bilas and Ruth Lichterman were the first regularly working programmers.[9][10] Nature of the work[edit] Programmers in the Yandex headquarters. Testing and debugging[edit] Application versus system programming[edit]
Getting started with Python: Tips, Tools and Resources - Lesson in Programming 1. MIT 6.00x: Introduction to Computer Science and Programming 6.00x is an introduction to using computation to solve real problems. The course is aimed at students with little or no prior programming experience who have a desire to understand computational approaches to problem solving. This is an amazing course! This will give you a better overview and depth than any other resource available. 2. This course is designed to help students with very little or no computing background learn the basics of building simple interactive applications. 3. This course introduces the fundamental building blocks of programming and teaches you how to write fun and useful programs using the Python language.
SpringSource.org | Software engineer A software engineer programming for the Wikimedia Foundation Software engineers apply the principles of engineering to the design, development, maintenance, testing, and evaluation of the software and systems that make computers or anything containing software work. Typical formal definitions of software engineering are: "the application of a systematic, disciplined, quantifiable approach to the development, operation, and maintenance of software".[1]"an engineering discipline that is concerned with all aspects of software production"[2]"the establishment and use of sound engineering principles in order to economically obtain software that is reliable and works efficiently on real machines"[3] The term has been used less formally: Overview[edit] Prior to the mid-1960s, software practitioners called themselves computer programmers or software developers, regardless of their actual jobs. These terms cause confusion, because some[who?] A state of the art[edit] In 2004, Keith Chapple of the U.
Second Try: Sentiment Analysis in Python : Andy Bromberg Introduction After my first experiments with using R for sentiment analysis, I started talking with a friend here at school about my work. Jackson and I decided that we’d like to give it a better shot and really try to get some meaningful results. After a lot of research, we decided to shift languages to Python (even though we both know R). We made this shift because Python has a number of very useful libraries for text processing and sentiment analysis, plus it’s easy to code in. We also met with Christopher Potts, a professor of linguistics here at Stanford. If you’d like to jump straight to seeing the full code, you can head over to the GitHub repository. The Setup One of the resources we got a lot of mileage out of was StreamHacker, especially the articles on basic techniques, precision and recall. and eliminating features. Another great discovery was the Natural Language ToolKit (NLTK). During our first attempt, we basically just tried to convert my program in R into Python. Addendum
Spring Framework The Spring Framework is an open source application framework and inversion of control container for the Java platform. The framework's core features can be used by any Java application, but there are extensions for building web applications on top of the Java EE platform. Although the framework does not impose any specific programming model, it has become popular in the Java community as an alternative to, replacement for, or even addition to the Enterprise JavaBean (EJB) model. Version history[edit] Modules[edit] The Spring Framework includes several modules that provide range of services: Inversion of control container (dependency injection)[edit] Objects created by the container are also called managed objects or beans. In many cases one need not use the container when using other parts of the Spring Framework, although using it will likely make an application easier to configure and customize. Aspect-oriented programming framework[edit] Data access framework[edit]