Programming Articles - Page 276 of 3366

Several strategies stand out in the vast field of machine learning because of their distinctive approaches and effectiveness in handling challenging jobs. Learning Vector Quantization (LVQ), which presents a compelling alternative to conventional classification algorithms, is one such method. With the use of real-world examples, this essay delves deeply into LVQ, covering both its core ideas and prospective applications. Understanding Learning Vector Quantization The supervised learning approach known as Learning Vector Quantization, or LVQ for short, is prototype-based. It uses a competitive (or winner-takes-all) learning technique and is classified as an artificial neural network. With the use of this method, ... Read More

Pandas DataFrame is a part of the Data Structure that is used to represent the 2D structure in tabular form(rows and columns). In Python, we have some built-in functions like eq(), any(), loc[], and, apply() that can be used to search a value within a Pandas DataFrame row. For example- Searching a value is defined by the availability of any specific data. Syntax The following syntax is used in the examples − DataFrame() This is an in-built function in Python that follows the pandas module and show the 2D rows and column into a single frame. eq() This ... Read More

In this problem, we will count substrings of the given binary string containing the number of ‘0’ and ‘1’ characters in the X : Y ratio. The naïve approach finds all substrings of the given binary string, counts ‘0’ and ‘1’, and checks whether the counts are in the X : Y ratio. The efficient approach uses the prefix sum technique to solve the problem. Problem statement − We have given a binary string of length bin_len. We need to count substrings having a number of 0s and 1s in the ratio of X : Y. Sample examples Input ... Read More

In this problem, we will count substrings that we can make of length 1 by replacing the ‘10’ and ‘01’ substrings with ‘1’ or ‘0’ characters. When any binary string contains an equal number of ‘0’ and ‘1’, we can always make it of length 1 by performing the replacement operations. So, the problem is solved by finding the substrings with equal numbers of ‘0’ and ‘1’. Problem statement − We have given a binary string named bin_str and of length bin_len. We need to count the total number of substrings that we can make of length 1 by ... Read More

In this problem, we will check whether we can convert string alpha2 to alpha1 by performing the XOR operation of any two adjacent characters and replacing both characters with an XOR value. We will use the logic based on the XOR value of two digits to solve the problem. If the string contains at least one ‘1’ and more than two adjacent consecutive characters, we can convert the alpha2 string to alpha1. Problem statement − We have given two binary strings of the same length. We need to check whether we can convert the alpha2 string to alpha1 by performing ... Read More

In this problem, we will validate the Morse code. The Morse code method was used to transform the text in the encoded format, and it was very helpful to provide communication between two entities before the telephone was invented. There are standard codes for each alphabetical character containing the ‘.’ And ‘−‘. The code is prepared based on the transmission time, where ‘.’ Represents the short signals, and ‘−‘ represents the long signals. However, in this tutorial, we will use the standardized Morse code to decode and validate the string. Here is the table of standardized Morse code. ... Read More

We're delving into Python's idea of lazy importing today. This subject can be quite rewarding if you're looking to increase your Python abilities or the performance of your application. This article includes all the information you need to understand Python's lazy import, supported by real-world examples. Introduction to Lazy Import in Python We must first understand what Python's term "import" entails. You can import additional Python modules or specific objects into your existing script using the import statement. Because of the flexibility to reuse code, Python is a very flexible and effective language. The drawback, especially when working with large ... Read More

PySpark is distributed data processing engine that will use to write the code for an API. PySpark is the collaboration of Apache Spark and Python. Spark is large-scale data processing platform that provides the capability to process petabyte scale data. In Python, we have PySpark built-in functions like orderBy(), sort(), sortBy(), createDataFrame(), collect(), and asc_nulls_last() that can be used to sort the values. Syntax The following syntax is used in the examples − createDataFrame() This is a built-in function in Python that represents another way to create the DataFrame from the PySpark module. orderBy() This is the built-in ... Read More

In this problem, we will check whether we can convert the string alpha1 to alpha2 by inserting the same characters between any two same characters of the given string. We will use the run length encoding algorithm to solve the problem, which counts the frequency of the contiguous characters. Problem statement − We have given two strings named alpha1 and alpha2. We need to check whether we can convert the string alpha1 to alpha2 by performing an unlimited number of below operations. Choose any index, and the character at the current and previous index is the same, insert the ... Read More

In Python, we have some built-in functions like array(), len(), append, and, mod() that can be use to Skip every Nth index of Numpy array. There are many ways for skipping the nth index of a NumPy array. The numpy modulus technique is one option. We can first arrange the array into chunks of evenly spaced intervals using the numpy.arange() method. Then, using the nth index, apply the np.mod() technique to the generated list intervals and compute the modulus of each element. Syntax The following syntax is used in the examples − array() This is an in-built method that ... Read More