Java

    Java Catch Multiple Exceptions explained with examples

    by Lucy
    by Lucy

    A catch block is followed by either one or more catch blocks. Each catch block should contain different exception handlers. Java offers different types of catch blocks that handle different types of exceptions. A Multi catch block and a Single catch block are examples of such catch blocks.

  • Python

    How to Add Numbers in Python

    by Humphrey
    by Humphrey

    There are several ways to add numbers in Python, depending on the type of numbers and the context in which they are used. Python has numerous operators such as using the + operator, the sum() function, the += operator, the numpy library, the operator module, reduce() function, the fsum() function, accumulate() function, the mean() function, and the operator.add() method. The method chosen will depend on the specific requirements of your project. Here are a few examples:

  • JSON, often referred to as JavaScript Object Notation, is a lightweight data-interchange format. The latter makes it super easy for people across divides to both read and write. In addition, machines find it easy to parse and generate. JSON is often used for logging in Python because it is a language-independent data format and can be easily read and understood by humans and machines alike.

  • Java

    How to add days in Calendar in Java

    by Lucy
    by Lucy

    Using the Java calendar class, we can add days to either the specified date or the system’s current date. The calendar class is an abstract class supported by the Java Application Programming Interface utility, which manipulates and operates with dates and times. Since it is an abstract class, you cannot employ a constructor and make an instance out of it.

  • Java

    Guide to Importing the Math Class in Java

    by Lucy
    by Lucy

    Java is a programming language with a collection of packages, classes, and objects. The Java Math class is available in the java.lang package, which is the default package of Java. The Java Math class has multiple methods that can be used to perform calculations, such as finding the square, square roots, tan(), cos(), and logs. This article will demonstrate the various ways you can use to import math in Java.

  • An open-source framework for the Python programming language named PyTorch is crucial in machine-learning duties. The provided order of seq tensors in the given dimension is concatenated using the PyTorch cat function. This masterpiece delves into great detail on the Python PyTorch cat function.

  • The rounding of numbers is an essential part of programming languages. Rounding refers to the process in which a number is made simpler, but its value is kept close to the initial value. It aids in estimating and utilizing a number according to the user’s needs. Users can, therefore, round numbers to 2 decimal places by using different methods in JavaScript.

  • The user can develop deep learning algorithms effectively with PyTorch’s various capabilities. One of the functions offered by PyTorch is argmax. We may obtain the indices of the tensor and the maximum value of the elements from the tensor by using the argmax function.

  • Python

    How to convert Column to DateTime in Pandas

    by Humphrey
    by Humphrey

    Time series data are frequently encountered when working with data in Pandas, and we are aware that Pandas is an excellent tool for working with time-series data in Python. Using the to_datetime() and astype() functions in Pandas, you can convert a column (of a text, object, or integer type) to a datetime. Furthermore, if you’re reading data from an external source like CSV or Excel, you can specify the data type (for instance, datetime).

  • Python

    How to create Pandas DataFrame in Python

    by Humphrey
    by Humphrey

    A 2-dimensional labeled data structure like a table with rows and columns is what the Pandas DataFrame is. The dataframe’s size and values are mutable or changeable. It is the panda thing that is used the most. There are various ways to generate a Pandas DataFrame. Let’s go over each method for creating a DataFrame one at a time.

  • In a Pandas DataFrame, a row is uniquely identified by its Index. It is merely a label for a row. The default values, or numbers ranging from 0 to n-1, will be used if we don’t specify index values when creating the DataFrame, where n is the number of rows.