By Mitchell L. Model
Powerful, versatile, and straightforward to take advantage of, Python is a perfect language for development software program instruments and functions for all times technological know-how study and improvement. This specified ebook exhibits you ways to software with Python, utilizing code examples taken at once from bioinformatics. very quickly, you'll be utilizing refined recommendations and Python modules which are really potent for bioinformatics programming.
Bioinformatics Programming utilizing Python is ideal for somebody concerned with bioinformatics -- researchers, aid employees, scholars, and software program builders drawn to writing bioinformatics purposes. You'll locate it important no matter if you already use Python, write code in one other language, or don't have any programming adventure in any respect. It's an exceptional self-instruction device, in addition to a convenient reference while dealing with the demanding situations of real-life programming tasks.
* familiarize yourself with Python's basics, together with how one can enhance easy functions
* methods to use Python modules for trend matching, based textual content processing, on-line information retrieval, and database entry
* realize generalized styles that disguise a wide share of the way Python code is utilized in bioinformatics
* the way to practice the foundations and strategies of object-oriented programming
* enjoy the "tips and traps" part in every one chapter
Read Online or Download Bioinformatics Programming Using Python: Practical Programming for Biological Data PDF
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Powerful, versatile, and simple to take advantage of, Python is a perfect language for development software program instruments and purposes for all times technological know-how learn and improvement. This particular booklet exhibits you the way to software with Python, utilizing code examples taken at once from bioinformatics. very quickly, you'll be utilizing subtle concepts and Python modules which are quite potent for bioinformatics programming.
Bioinformatics Programming utilizing Python is ideal for an individual concerned with bioinformatics -- researchers, help employees, scholars, and software program builders attracted to writing bioinformatics functions. You'll locate it priceless no matter if you already use Python, write code in one other language, or haven't any programming event in any respect. It's a very good self-instruction instrument, in addition to a convenient reference whilst dealing with the demanding situations of real-life programming tasks.
* familiarize yourself with Python's basics, together with how one can advance basic purposes
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* become aware of generalized styles that conceal a wide share of ways Python code is utilized in bioinformatics
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* enjoy the "tips and traps" part in each one bankruptcy
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Additional resources for Bioinformatics Programming Using Python: Practical Programming for Biological Data
A name is used to refer to something—a primitive value, a function, or any of a number of other possibilities. A name is not the same as a string. A name refers to something, whereas a string has no intrinsic meaning to Python. Unlike strings, names are not enclosed in quotes. Giving a name to a value is called binding. One value may have multiple names bound to it, as Figure 2-1 illustrates. Figure 2-1. Names bound to objects The same name can mean different things in different contexts. The technical term for such a context is a namespace.
Python incorporates quite a few modules during its build process. While their contents are in the system, their names are not. Consider the os module just mentioned— all the contents of the module are actually already in Python, but the name os has no meaning until the module is imported. Importing assigns the name of the module to the object that represents the module’s information. Module namespaces Each module has a separate namespace associated with it. In fact, a module object is little more than a namespace.
The command line prompts for input and executes the commands you type. 18 | Chapter 1: Primitives it, find someone knowledgeable about the command-line environment in your operating system to help you resolve the problem. • The way to exit Python follows each platform’s usual conventions: Ctrl-D on Unixbased systems, Ctrl-Z on Windows variants. You can also type quit(). ‖ After you’ve typed at least one line to Python, try Ctrl-P or the up arrow. If that changes the input to what you typed previously, the editing capability is functioning.