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Found 10784 Articles for Python
![Sarika Singh](https://www.tutorialspoint.com/assets/profiles/502778/profile/60_2211036-1660719373.jpg)
8K+ Views
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, characters can therefore be retrieved from 0 to n-1. For instance, the index of the text “Coding” is 0, 1, 2, 3, 4, 5. 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. Printing characters of a string Characters can be put ... Read More
![Pythonic](https://www.tutorialspoint.com/assets/profiles/15007/profile/60_156531-1514381552.jpg)
4K+ Views
Maximum length of a list is platform dependent and depends upon address space and/or RAM. The maxsize constant defined in sys module returns 263-1 on 64 bit system. >>> import sys >>> sys.maxsize 9223372036854775807 The largest positive integer supported by the platform's Py_ssize_t type, is the maximum size lists, strings, dicts, and many other containers can have.
![Pythonic](https://www.tutorialspoint.com/assets/profiles/15007/profile/60_156531-1514381552.jpg)
5K+ Views
Maximum length of a string is platform dependent and depends upon address space and/or RAM. The maxsize constant defined in sys module returns 263-1 on 64 bit system. >>> import sys >>> sys.maxsize 9223372036854775807 The largest positive integer supported by the platform's Py_ssize_t type, is the maximum size lists, strings, dicts, and many other containers can have.
![Pythonic](https://www.tutorialspoint.com/assets/profiles/15007/profile/60_156531-1514381552.jpg)
2K+ Views
Standard distribution of Python contains collections module. It has definitions of high performance container data types. OrderedDict is a sub class of dictionary which remembers the order of entries added in dictionary object. When iterating over an ordered dictionary, the items are returned in the order their keys were first added. >>> from collections import OrderedDict >>> D = {5:'fff', 3:'ttt', 1:'ooo', 4:'bbb', 2:'ddd'} >>> OrderedDict(D.items()) OrderedDict([(5, 'fff'), (3, 'ttt'), (1, 'ooo'), (4, 'bbb'), (2, 'ddd')]) We also need to us sorted() function that sorts elements in an iterable in a specified order. The function takes a function ... Read More
![Pythonic](https://www.tutorialspoint.com/assets/profiles/15007/profile/60_156531-1514381552.jpg)
501 Views
Standard distribution of Python contains collections module. It has definitions of high performance container data types. OrderedDict is a sub class of dictionary which remembers the order of entries added in dictionary object. When iterating over an ordered dictionary, the items are returned in the order their keys were first added. >>> from collections import OrderedDict >>> D = {5:'fff', 3:'ttt', 1:'ooo', 4:'bbb', 2:'ddd'} >>> OrderedDict(D.items()) OrderedDict([(5, 'fff'), (3, 'ttt'), (1, 'ooo'), (4, 'bbb'), (2, 'ddd')]) We also need to use sorted() function that sorts elements in an iterable in a specified order. The function takes a function ... Read More
![Sarika Singh](https://www.tutorialspoint.com/assets/profiles/502778/profile/60_2211036-1660719373.jpg)
11K+ Views
Dictionaries are a valuable and frequently used data structure in Python. This article tells us how to traverse through a dictionary while performing operations on its key-value pairs. Using dict.items() Method Python's dict.items() method allows you to loop through the dictionary. Each repetition will provide you with both the key and value of each item. Example Following is an example to iterate through a dictionary using dict.items() method − dictionary = { 'Novel': 'Pride and Prejudice', 'year': '1813', 'author': 'Jane Austen', 'character': 'Elizabeth Bennet' ... Read More
![Sarika Singh](https://www.tutorialspoint.com/assets/profiles/502778/profile/60_2211036-1660719373.jpg)
85K+ Views
Python has a built-in method called values() that returns a view object. The dictionary's values are listed in the view object. We can use the values() method in Python to retrieve all values from a dictionary. Python's built-in values() method returns a view object that represents a list of dictionaries containing every value. This article explains about the various ways to print all the values of a dictionary in Python. Using dict.values() Method Python's dict.values() method can be used to retrieve the dictionary values, which can then be printed using the print() function. Example Following is an example to print ... Read More
![Sarika Singh](https://www.tutorialspoint.com/assets/profiles/502778/profile/60_2211036-1660719373.jpg)
97K+ Views
An unordered collection of data values is what a Python dictionary is. A Python dictionary contains a key: value pair, in contrast to other data structures that only include one value per entry. This article explains about the various ways to print all the keys of a dictionary in Python. Using dict.keys() Method Python's dict.keys() method can be used to retrieve the dictionary keys, which can then be printed using the print() function. A view object that shows a list of every key in the dictionary is the result of the dict.keys() method. The dictionary's elements can be accessed using ... Read More
![Rajendra Dharmkar](https://www.tutorialspoint.com/assets/profiles/9963/profile/60_124173-1512724240.jpg)
6K+ Views
File handling is a critical aspect of seamless data management in the realm of computer programming. There are times when choosing the buffer size is crucial when working with files, particularly when handling huge files or carrying out certain actions that need efficient memory utilization. Because of its integrated file-handling features, the strong and flexible programming language Python gives developers the freedom to choose the buffer size when opening files. This extensive essay will examine how to set the buffer size in Python when opening a file. In order to explain the ideas, we will go over them step-by-step and ... Read More