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In Python, strings are dynamic and can extend to a very large size, and can be limited only by the system's available memory. In other languages, compared to Python, it does not define a strict upper bound on string length. Instead, the practical maximum length of a string depends on the platform and memory constraints. In this article, we will explore how to determine the theoretical maximum string length in Python. Maximum Theoretical String Length Python strings are stored as sequences of Unicode characters, and the maximum size of a Python object is typically constrained by the value of sys.maxsize ... Read More
Python allows dictionaries to be sorted using the built-in sorted() function. In this article, we will explore different ways to sort a dictionary in Python by its values. Sort a Dictionary Using itemgetter() method When we use the sorted() function along with the itemgetter() method of the operator module, the dictionary will be sorted by its values. The itemgetter() function returns a callable object that fetches an item from its operand using the provided index. Example Following is an example that shows how to sort a dictionary by its values using itemgetter() along with the sorted() function - from operator import ... Read More
In Python, floating-point numbers can be implemented using double-precision, i.e., 64-bit format, as per the IEEE 754 standard. These floats have a finite range and precision. The maximum value that a float can represent depends on the platform that we are using, but can be accessed using the sys.float_info attribute. Maximum Value of Float using sys.float_info The sys.float_info object provides details about the float implementation on the current platform. The attribute float_info.max gives the largest positive floating-point number representation. Example Here in this example, we are going to use float_info.max attribute from the sys.float_info object to get the maximum float value ... Read More
Python allows dictionaries to be sorted using the built-in sorted() function. Although dictionaries in Python 3.7+ preserve insertion order, we can still create a new dictionary sorted by its keys using various methods. In this article, we will explore different ways to sort a dictionary in Python by its keys. Using sorted() with a for Loop We can use the sorted() function on the dictionary keys and then iterate through them to build a new dictionary in key order. Example Following is an example, which shows how to sort a dictionary in Python using the sorted() function - dictionary = ... Read More
In Python, converting different data types into strings is a common requirement when we want to display or store information in text format. The built-in str() function is used for this conversion. This function accepts any Python object as a parameter and returns a string representation of it. The basic syntax of the str() function is as follows: str(object) Where object is any valid Python object, such as int, float, bool, list, etc. In this article, we will explore different data type conversions into a string in Python. Conversion of Integer to String An integer can be converted into ... Read More
A Dictionary is a set of key-value pairs, and each key in a Dictionary is separated from its value by a colon ":"; the items are separated by commas. They do not allow duplicate values. Since the 3.7 Python update, dictionaries are ordered. The correct syntax to create a Python Dictionary is to store values in the form of key-value pairs within the curly braces "{ }". On the left of the colon, we store keys, and on the right, values. The keys should be unique (within one dictionary), and we need to separate the items using commas. Basic ... Read More
Python uses arrays of bytes called strings to represent Unicode characters. In Python, string indexing ranges from 0 to n-1, where n is the length of the string. In a string of size n, the characters can be retrieved from 0 to n-1. For Example, we can index the string "Coding" as 0, 1, 2, 3, 4, 5, in which the length of the string is 6. The first character in the string "Coding" is represented by the number 0, and the characters o, d, i, n, and g are represented by the numbers 1, 2, 3, and 5, respectively. ... Read More
TAR stands for Tape Archive Files. The Tar files are the archive files which allows us to store numerous files in a single file. A Open-source software is distributed using tar files. Tar files typically end in .tar later they can be compressed using tools such as gzip which have the file ending as tar.gz. Different file modes to create a tar file Here are the available different file modes to create a tar file using Python ‐ "w": Write a tar archive without compression. "w:gz": Write a gzip-compressed archive. "w:bz2": Write a ... Read More
Binary file is a file that consists of a series of 1's and 0's. This is typically used to represent data such as images, audio, video, etc. To open the binary files in read and write mode, Python provides an in-built function, which is the open() function. The open() Function The Python open() function is a built-in function that is used to open a file. This method accepts a string value representing a file path (or, name) as a parameter and returns the object of the specified file. In addition to the file path, we can also pass another parameter named ... Read More
You can multiply large numbers in Python directly without worrying about speed. Python supports a "bignum" integer type which can work with arbitrarily large numbers. In Python 2.5+, this type is called long and is separate from the int type, but the interpreter will automatically use whichever is more appropriate. As long as you have version 2.5 or better, just perform standard math operations, and any number which exceeds the boundaries of 32-bit math will be automatically (and transparently) converted to a bignum. To multiply large numbers in Python, we can use the basic multiplication operator or use the fractions ... Read More