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  1. Built-in TypesPython 3.13.3 documentation

    3 days ago · The following sections describe the standard types that are built into the interpreter. The principal built-in types are numerics, sequences, mappings, classes, instances and exceptions. Some colle...

  2. Python Data Types - W3Schools

    Python has the following data types built-in by default, in these categories: You can get the data type of any object by using the type() function: Print the data type of the variable x: In Python, the data type is set when you assign a value to a variable: If you want to specify the data type, you can use the following constructor functions:

  3. Python Data Types - GeeksforGeeks

    Mar 12, 2025 · Python Data types are the classification or categorization of data items. It represents the kind of value that tells what operations can be performed on a particular data. Since everything is an object in Python programming, Python data types are classes and variables are instances (objects) of these classes.

  4. Native datatypes - Dive Into Python 3

    Python has many native datatypes. Here are the important ones: Booleans are either True or False. Numbers can be integers (1 and 2), floats (1.1 and 1.2), fractions (1/2 and 2/3), or even complex numbers. Strings are sequences of Unicode characters, e.g. an HTML document. Bytes and byte arrays, e.g. a JPEG image file.

  5. Native Data Types in Python | myMusing

    This post list commonly used native data types. Every value in Python has a datatype. Since everything is an object in Python programming, data types are actually classes and variables are instance (object) of these classes.

  6. Data TypesPython 3.13.3 documentation

    2 days ago · The modules described in this chapter provide a variety of specialized data types such as dates and times, fixed-type arrays, heap queues, double-ended queues, and enumerations. Python also provides some built-in data types, in particular, dict, list, set and frozenset, and tuple.

  7. Python has many native datatypes. Here are the important ones: Booleans are either True or False. Numbers can be integers (1 and 2), floats (1.1 and 1.2), fractions (1/2 and 2/3), or even complex numbers. Strings are sequences of Unicode characters, e.g. an html document. Bytes and byte arrays, e.g. a jpeg image file.

  8. Converting numpy dtypes to native python types - Stack Overflow

    Feb 26, 2012 · Use val.item() to convert most NumPy values to a native Python type: # and similar... ... (A related method np.asscalar(val) was deprecated with 1.16, and removed with 1.23). For the curious, to build a table of conversions of NumPy array scalars for your system: obj = getattr(np, name) if hasattr(obj, 'dtype'): try: if 'time' in name:

  9. Chapter 3. Native Datatypes - Dive Into Python

    One of Python 's built-in datatypes is the dictionary, which defines one-to-one relationships between keys and values. A dictionary in Python is like a hash in Perl . In Perl , variables that store hashes always start with a % character.

  10. Python Data TypesPython Land Tutorial

    Sep 18, 2024 · Python provides us with several native data types to store and process data. These are essential building blocks that you need to know well. When thinking about a problem, part of the solution is often choosing the right data type.

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