Text file analysis is a fundamental task in various data processing and natural language processing applications. Python is a versatile and powerful programming language that provides numerous built−in features and libraries to facilitate such tasks efficiently. In this article, we will explore how to count the number of characters, words, spaces, and lines in a text file using Python. Method 1:Brute Force method In this method, we will develop our own logic in a brute−force manner and take a text file as input and count the number of characters, words, spaces, and lines in the file. In this method, we ... Read More
In Python, we can sum the numbers present in a string list using various methods like using Regular Expressions, using isdigit() and List Comprehension, using Splitting and Joining etc. When working with lists containing strings in Python, it is common to come across situations where you need to extract and sum the numerical values from those strings. This can be particularly useful in situations such as processing data from text files, log files, or web scraping. In this article, we will understand these methods using different example and algorithms. Algorithm A general algorithm to find the sum of numbers ... Read More
In Python, every program has a symbol table that contains the information about its names (variables, functions, and classes) defined in the program. The global() function allows us to access and manipulate the global symbol table, providing valuable information about the current global variables in a program. In this article, we will understand how these globals() function works and what we can do with this function in Python. Overview of globals() function In Python, each program has a symbol table that contains information about the names (variables, functions, classes, etc.) defined in the program. The symbol table is represented by ... Read More
The dictionary is a popular data type in Python that has a key with value pair and doesn’t allow duplicates. To filter the odd elements it has some built-in functions like items(), filter(), lambda, and, the list() will be used to Filter odd elements from value lists in the dictionary. The odd elements of the list are those elements that are not divisible by 2. For example − The given list, [10, 22, 21, 19, 2, 5] After filtering the odd elements from the list: The final result becomes [10, 22, 2] (These are the elements that are divisible by ... Read More
A range length is defined by representing range of values that follow the start and end point along with the length. In Python, there are some built-in functions like list(), append(), filter(), and, lambda which can be used to solve the problem based on Filter Range Length Tuples. This type of problem statement normally helps to build the logic of filtering tool. Syntax The following syntax is used in the examples − len() The len() is the built-in method in Python that returns the length of the object. append() The append method in Python is used to add ... Read More
Matrices are widely used in various fields, including mathematics, physics, and computer science. In some situations, we need to group elements of the matrix based on certain criteria. We can group elements of the matrix by row, column, values, condition, etc. In this article, we will understand how we can group elements of the matrix using Python. Creating a Matrix Before diving into the grouping methods, we can start by creating a matrix in Python. We can use the NumPy library to work with matrices efficiently. Here's how we can create a matrix using NumPy:Example The below code creates a ... Read More
The matrix is defined by arranging rows and columns to form an array. The values of a matrix in rows and columns either be characters or integers. There are various method names- dictionary comprehension, for loop, enumerate, and, zip() that will be used to Convert a Matrix to a Dictionary in Python. Using a for Loop and Dictionary Comprehension The program uses the for loop that will iterate the length of the matrix by applying dictionary comprehension. This helps the conversion of the matrix into a dictionary. Example In the following example, we will show the name values of matrix ... Read More
What is a Computer? A computer is an electric device which is developed by Charles Babbage in 1822. It takes input data from the input devices, stores and process it, and produces output in the output devices. The processing is done by the Central Processing Unit. It is designed to perform various operations and tasks depending upon the instructions provided by a user. It can perform a wide range of tasks including word processing, graphic design, gaming, and internet browsing. Components of Computer Hardware Parts - Parts of a computer system which ... Read More
The snake case string is the naming convention where words are instead separated by an underscore(‘-’). The Camel case is defined by two or more words connected together without spaces and the first letter of each word being capitalized. There are various built-in methods in Python such as split(), join(), and, re.sub() that can be used to convert Snake Case String to Camel Case using Python. Let’s take an example of this − Snake Case String − hello_world(having separator i.e. underscore ‘_’) Camel Case String − helloWorld(when we convert the Snake case into Camel case it allows the second ... Read More
The list is defined by an ordered sequence of elements whereas the nested dictionary defines the dictionary include another dictionary. The nested dictionary is required when we want to store large data in a big dictionary. In Python, we have some built-in functions like reduce() and zip() that Convert Lists into Nested Dictionary. For example- Dictionary data communicate the structural content of data which is easier to understand. Syntax The following syntax is used in the examples − reduce() This built-in function in Python follows the functools module to perform a specific operation on lists. zip() The zip() ... Read More