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Strings in Python can be concatenated by "adding" them (with the same operator as for adding integers and floats), e.g. "spam" + "eggs" returns "spameggs". If strings contain numbers, they are added as strings rather than integers, e.g. "2" + "2" returns "22". Python has various string literals :
Python syntax and semantics. A snippet of Python code with keywords highlighted in bold yellow font. The syntax of the Python programming language is the set of rules that defines how a Python program will be written and interpreted (by both the runtime system and by human readers).
Google. From 2005 to December 2012, he worked at Google, where he spent half of his time developing the Python language. At Google, Van Rossum developed Mondrian, a web-based code review system written in Python and used within the company. He named the software after the Dutch painter Piet Mondrian. [21]
Website. pandas .pydata .org. Pandas (styled as pandas) is a software library written for the Python programming language for data manipulation and analysis. In particular, it offers data structures and operations for manipulating numerical tables and time series.
Python 2.5 was released in September 2006 and introduced the with statement, which encloses a code block within a context manager (for example, acquiring a lock before the block of code is run and releasing the lock afterwards, or opening a file and then closing it), allowing resource acquisition is initialization (RAII)-like behavior and replacing a common try/finally idiom.
The Zen of Python is a collection of 19 "guiding principles" for writing computer programs that influence the design of the Python programming language. Python code that aligns with these principles is often referred to as "Pythonic". Software engineer Tim Peters wrote this set of principles and posted it on the Python mailing list in 1999.
The following Python file shows the declaration of docstrings within a Python source file: """The module's docstring""" class MyClass: """The class's docstring""" def my_method(self): """The method's docstring""" def my_function(): """The function's docstring""".
Such repositories can be located on an HTTP (s) URL or on a file system location. A custom repository can be specified using the -i or—index-url option, like so: pip install -i https://your-custom-repo/simple <package name>; or with a filesystem: pip install -i /path/to/your/custom-repo/simple <package name> .
scikit-learn integrates well with many other Python libraries, such as Matplotlib and plotly for plotting, NumPy for array vectorization, Pandas dataframes, SciPy, and many more. Version history. scikit-learn was initially developed by David Cournapeau as a Google Summer of Code project in 2007.
NumPy targets the CPython reference implementation of Python, which is a non-optimizing bytecode interpreter. Mathematical algorithms written for this version of Python often run much slower than compiled equivalents due to the absence of compiler optimization.