Python Source Function

The intermediary transaction SEO diagnoses Taobao guest Cloud host Technology Hall This article is for the SEO crowd's Python programming language introductory course, also applies to other does not have the program Foundation but wants to learn some procedures, solves the simple actual application demand the crowd. 　　In the later will try to use the most basic angle to introduce this language. 　　I was going to find an introductory tutorial on the Internet, but since Python is rarely the language that programmers learn in their first contact program, it's not much of an online tutorial, or a decision to write it yourself. If not ...

With the development and popularity of artificial intelligence technology, Python has surpassed many other programming languages and has become one of the most popular and most commonly used programming languages in the field of machine learning.

SQLObject 1.1.0 release, SQLObject is a popular Python database object mapping framework, the mapping rule is table-> class, Field-> properties. The Object Relational Mapping tool helps increase productivity by providing classes and objects to manipulate database tables. Python's Best object-relational mapping tool is sqlobject--an open source project that almost completes all the operations required by the programming database. This article introduces SQLObject and its functions. After reading this article ...

The "Editor's note" machine learning seems to have turned from obscurity to the limelight overnight, as well as more open source tools for machine learning, but the challenge now is how to get developers interested in machine learning and the data they are prepared to use to actually use them, This paper collects the common and practical open source machine learning tools in several languages, which is worth paying attention to, which is from InfoWorld. The following is the original: After decades of development as a professional discipline, machine learning seems to appear overnight as a popular business tool ...

Pypeg is a PEG parser for open source fast and simple Python programs. It works by using a peg language of the Python data structure to parse, so it can be used to dynamically parse the free language for each context. Output a simple Python data structure called Pyast, or XML. Peg is a shorthand for parsing Expression Grammar, a parsing expression syntax that resembles the language of the regular expression context. Pypeg 2.1.0 This version improves the Ignore (...)

Flexmock is a Python mock/stub/spy library used to http://www.aliyun.com/zixun/aggregation/13726.html the mock tools for >rails unit tests. Its API 17885.html "> inspired by the same name of Ruby Library, however, it is not a Python flexmock, the goal is to clone Ruby version. Instead, its focus ...

C + + computer vision ccv-based on C language/provides cache/core machine Vision Library, novel Machine Vision Library opencv-It provides C + +, C, Python, Java and MATLAB interfaces, and supports Windows, Linux, Android and Mac OS operating system. General machine learning Mlpack dlib Ecogg Shark Closure Universal machine learning Closure Toolbox-cloj ...

Wingide is a fairly good IDE; its editors include a large number of language syntax tags highlighted, although it is just a tool for Python. The source browser is very useful for browsing items or modules (tables are now navigable in source code and document line summaries). Although there are no monitors, the debugger is well designed. The editor has excellent command autocomplete and function jump lists, but no code merging. The project-oriented IDE is useful for large products (in this respect, it is in most free ides except Komodo ...).

Mahotas is an image processing library for Python. It includes some image processing algorithms to realize c++++ acceleration, the main algorithm is watershed and domain value. Mahotas 0.6.6 Version Update log: 1.morph.get_structuring_element is implemented for Ndim &gt.2.this implies that functions As label () now a ...

Open source machine learning tools also allow you to migrate learning, which means you can solve machine learning problems by applying other aspects of knowledge.