In this article, we will learn the new features in Python 3.10, compared to 3.9. Let’s see the features − Parenthesized context managers Using enclosing parentheses for continuation across multiple lines in context managers is now supported. This allows formatting a long collection of context managers in multiple lines in a similar way as it was previously possible with import statements User-Defined Type Guards TypeGuard has been added to the typing module to annotate type guard functions and improve information provided to static type checkers during type narrowing. Enhanced error messages If you will get an error while running a ... Read More

To delete a file, use the remove() method in Python. Pass the name of the file to be deleted as an argument. Let us first create a file and read the content: We will display the contents of a text file. For that, let us first create a text file amit.txt with the following content − The file amit.txt is visible in the Project Directory − Display the contents of a text file Let us now read the contents of the above file # The file to be read with open("amit.txt", "r") as myfile: my_data ... Read More

Functional programming languages are specially designed to handle symbolic computation and list processing applications. Functional programming is based on mathematical functions. Some of the popular functional programming languages include: Lisp, Python, Erlang, Haskell, Clojure, etc. Characteristics of Functional Programming The most prominent characteristics of functional programming are as follows − Functional programming languages are designed on the concept of mathematical functions that use conditional expressions and recursion to perform computation. Functional programming supports higher-order functions and lazy evaluation features. Like OOP, functional programming languages support popular concepts such as Abstraction, Encapsulation, Inheritance, and Polymorphism. Advantages of Functional Programming ... Read More

Slicing in Python gets a sub-string from a string. The slicing range is set as parameters i.e. start, stop and step. For slicing, the 1st index is 0. For negative indexing, to display the 1st element to last element in steps of 1 in reverse order, we use the [::-1]. The [::-1] reverses the order. In a similar way, we can slice strings like this. # slicing from index start to index stop-1 arr[start:stop] # slicing from index start to the end arr[start:] # slicing from the beginning to index stop - 1 arr[:stop] # slicing from ... Read More

Slicing in Python gets a sub-string from a string. The slicing range is set as parameters i.e. start, stop and step. Syntax Let us see the syntax # slicing from index start to index stop-1 arr[start:stop] # slicing from index start to the end arr[start:] # slicing from the beginning to index stop - 1 arr[:stop] # slicing from the index start to index stop, by skipping step arr[start:stop:step] Slicing Example In his example we will slice a string from start, end, by skipping steps, etc − myStr = 'Hello! How are you?' print("String = ", ... Read More

Python is a general-purpose interpreted, interactive, object-oriented, and high-level programming language. Features of Python Following are key features of Python − Python supports functional and structured programming methods as well as OOP. It can be used as a scripting language or can be compiled to byte-code for building large applications. It provides very high-level dynamic data types and supports dynamic type checking. It supports automatic garbage collection. Variables in Python Variables are nothing but reserved memory locations to store values. This means that when you create a variable you reserve some space in memory. Let’s create a variable. ... Read More

Python is an interpreted, object-oriented, high-level programming language with dynamic semantics. Let’s understand the paradigms one by one. Paradigms classify programming languages based on their features. Interpreted Language Python is processed at runtime by the interpreter. You do not need to compile your program before executing it. This is similar to PERL and PHP. Steps of Execution Step 1 − A Python source code is written by the coder. File extension: .py Step 2 − The Python source code a coder writes is compiled into python bytecode. In this process, a file with the extension .pyc gets created. Step 3 ... Read More

Pandas is an open-source Python Library providing high-performance data manipulation and analysis tool using its powerful data structures. A Data frame in Pandas is a two-dimensional data structure, i.e., data is aligned in a tabular fashion in rows and columns. In this article, we will see how to merge dataframes in Python. We will use the merge() method. Following is the syntax: dataframe.merge(right, how, on, left_on, right_on, left_index, right_index, sort, suffixes, copy, indicator, validate) Here, Parameter Value Description right A DataFrame or a Series to merge with how 'left' 'right' 'outer' 'inner': ... Read More

A class in Python user-defined prototype for an object that defines a set of attributes that characterize any object of the class. The attributes are data members (class variables and instance variables) and methods, accessed via dot notation. We can easily create an empty class in Python using the pass statement. This statement in Python do nothing. Let us see an example − Create an empty class Here, our class name is Amit − class Amit: pass Create an empty class with objects Example We can also create objects of an empty class and use it in ... Read More

The classes in Python have the __init__() function. This function gets executed when the class is being initiated. Let’s see some key points bout __init__ - The classes in Python have __init__() function. Similar to constructors in Java, the __init__() function executes when the object gets created. The __init__() function is called automatically. It is used to assign values to the properties of an object. The __init__() method may have arguments for flexibility. For that, the arguments given to the class instantiation operator are passed on to __init__(). When a class defines an __init__() method, class instantiation automatically invokes ... Read More