To insert new keys/values into a Dictionary, use the square brackets and the assignment operator. With that, the update() method can also be used. Remember, if the key is already in the dictionary, its value will get updated, else the new pair gets inserted. Consider a Dictionary as a set of key: value pairs, with the requirement that the keys are unique (within one dictionary). Each key in a Dictionary is separated from its value by a colon (:), the items are separated by commas, and the whole thing is enclosed in curly braces. Let us first create a Python ... Read More

Values of a Python Dictionary can be updated using the following two ways i.e. using the update() method and also, using square brackets. Dictionary represents the key-value pair in Python, enclosed in curly braces. The keys are unique and a colon separates it from value, whereas comma separates the items. With that, the left size before the colon are keys, whereas right its corresponding values. Let us first create a Python Dictionary and fetch all the values. Here, we have included 4 key-value pairs in the Dictionary and displayed them. Product, Model, Units, and Available are keys of the Dictionary. ... Read More

The Python Dictionary can be easily displayed into JSON format using the json Python Module. The json module is a JSON encoder/decoder. JSON is JavaScript Object Notation, a lightweight text-based open standard designed for human-readable data interchange. The JSON format was specified by Douglas Crockford. It has been extended from the JavaScript scripting language. Consider Dictionary as a set of key: value pairs, with the requirement that the keys are unique (within one dictionary). Each key in a Dictionary is separated from its value by a colon (:), the items are separated by commas, and the whole thing is enclosed ... Read More

First, put all dictionary objects in a list object.Initialize a dictionary object to empty directory. This is intended to contain merged directoryExampleUpdate it with each directory item from the list>>> d=[{'a':1, 'b':2, 'c':3}, {'a':1, 'd':2, 'c':'foo'}, {'e':57,'c':3}] >>> d [{'a': 1, 'b': 2, 'c': 3}, {'a': 1, 'd': 2, 'c': 'foo'}, {'e': 57, 'c': 3}] >>> merged={} >>> for x in d:     merged.update(x) >>> merged {'a': 1, 'b': 2, 'c': 3, 'd': 2, 'e': 57}

Given below is a nested directory objectD1={1: {2: {3: 4, 5: 6}, 3: {4: 5, 6: 7}}, 2: {3: {4: 5}, 4: {6: 7}}}ExampleFollowing recursive function is called repetitively if the value component of each item in directory is a directory itself.def iterdict(d):   for k,v in d.items():              if isinstance(v, dict):          iterdict(v)      else:                      print (k,":",v) iterdict(D1)OutputWhen the initial dictionary object is passed to this function, all the key-value pairs are traversed. The output is:3 4 5 6 4 5 6 7 4 5 6 7

In Python, a non-white space character is any character that is not a space, tab, or newline. These characters are important for formatting and readability in Python code. Suppose we have a string with both whitespace and non-whitespace characters: We can use the isspace() method to check if each character in the string is a whitespace character In this code, we iterate over each character in the my_string variable and use the isspace() method to determine if the character is a whitespace character or not. If the character is a whitespace character, we print "Whitespace character", and if it is ... Read More

The regular expressions module in Python provides a powerful tool for pattern matching in strings in Python. Regular expressions, also known as regex, make it possible for us to search, extract, and manipulate text based on specified patterns. One routine and common task in text processing is to identify non−word characters; these include symbols, punctuation marks, and spaces. In this article, we will explore various ways in which we can use regular expressions in Python to identify and match these non−word characters. We will take up a few code examples, each followed by stepwise explanations, to guide you through the ... Read More

Mastering regular expressions and their ‘re’ module opens up a world of powerful text−processing possibilities in Python. Regular expressions, often called regex, make it possible for us to identify, search for, and manipulate specific patterns within strings. One common task that we often come across in our work is matching a particular word in a text using regular expressions. In this article, we will take a deep dive into the art of using regular expressions in Python to find and match words in strings. We'll explore this domain using a few code examples, each followed by stepwise explanations, and this ... Read More

A dictionary object is mutable. Hence one dictionary object can be used as a value component of a key. So we can create a nested dictionary object another dictionary object is defined as value associated with key.>>>> students={"student1":{"name":"Raaj", "age":23, "subjects":["Phy", "Che", "maths"],"GPA":8.5},"student2":{"name":"Kiran", "age":21, "subjects":["Phy", "Che", "bio"],"GPA":8.25}}

You can use any Python aware editor to write Python script. Standard distribution of Python comes with IDLE module which is an integrated development and learning environment. Start IDLE and open a new file from file menu. In the editor page enter print (“Hello World!”) Save the script as hello.py and execute it from Run menu to get Hello world message on console. This is your first program. It can also be run from command prompt c:\user>python hello.py