Matplotlib is a popular Python package that is used for data visualization. Visualizing data is an important steps since it helps understand what is going on in the data without actually looking at the numbers and performing complicated computations. It helps in communicating the quantitative insights to the audience effectively.Matplotlib is used to create 2 dimensional plots with the data. It comes with an object oriented API that helps in embedding the plots in Python applications. Matplotlib can be used with IPython shells, Jupyter notebook, Spyder IDE and so on.It is written in Python. It is created using Numpy, which ... Read More

Matplotlib library is built upon Numpy. It is a Python library that is used to visualize data. It is a tree−like hierarchical structure which consists of objects that makeup each of these plots.A ’Figure’ in Matplotlib can be understood as the outermost storage for a graph. This ‘Figure’ can contains multiple ‘Axes’ objects. ‘Axes’ object is NOT the plural form of ‘Axis’ in this case.‘Axes’ can be understood as a part of ‘Figure’, a subplot. It can be used to manipulate every part of the graph inside it. A ‘Figure’ object in an Matplotlib is a box that stores one ... Read More

Scikit−learn, commonly known as sklearn is a library in Python that is used for the purpose of implementing machine learning algorithms. It is an open-source library hence it can be used free of cost. It is powerful and robust, since it provides a wide variety of tools to perform statistical modelling. This includes classification, regression, clustering, dimensionality reduction, and much more with the help of a powerful, and stable interface in Python. The library is built on Numpy, SciPy and Matplotlib libraries.It can be installed using the ‘pip’ command as shown below −pip install scikit−learnThis library focuses on data modelling. ... Read More

Suppose we have an array called nums. We have to check whether it is possible to rearrange the elements of nums such that it follows the condition −So, if the input is like nums = [8, -4, 4, -8], then the output will be True as if we arrange the array like [-4, -8, 4, 8] for i = 0, nums[2*0 + 1] = 2 * (-4) = -8 for i = 1, nums[2*1 + 1] = 2 * 4 = 8To solve this, we will follow these steps −freq := a map containing elements of nums and their frequenciesfor ... Read More

Suppose we have two strings s and t. We have to check whether the edit distance between s and t is exactly one or not. Here edit between two strings means any of these three −Insert a characterDelete a characterReplace a characterSo, if the input is like s = "hello" t = "heillo", then the output will be True as we need to insert one character into s to get t.To solve this, we will follow these steps −if |size of s - size of t| > 1, thenreturn falseedit_dist_cnt := 0, i := 0, j := 0while i < ... Read More

Suppose, we are provided with a list of size n that contains positive integers and another positive integer m. Let's say, we are currently inside a loop and in each iteration, we decrease the value of some elements in the array by 1 and increase the value of the remaining elements by m. We have to find out if half or more of the elements of the list turn into zero after some iterations. We return True if possible, and False if not.So, if the input is like input_list = [10, 18, 35, 5, 12], m = 4, then the ... Read More

Tensorflow is a machine learning framework that is provided by Google. It is an open-source framework used in conjunction with Python to implement algorithms, deep learning applications, and much more. It is used in research and for production purposes. It has optimization techniques that help in performing complicated mathematical operations quickly.This is because it uses NumPy and multi-dimensional arrays. These multi-dimensional arrays are also known as ‘tensors’. The framework supports working with deep neural networks. It is highly scalable and comes with many popular datasets. It uses GPU computation and automates the management of resources. It comes with multitude of ... Read More

Scikit−learn, commonly known as sklearn is a library in Python that is used for the purpose of implementing machine learning algorithms. It is an open−source library hence it can be used free of cost.It is powerful and robust, since it provides a wide variety of tools to perform statistical modelling. This includes classification, regression, clustering, dimensionality reduction, and much more with the help of a powerful, and stable interface in Python.This library is built on Numpy, SciPy and Matplotlib libraries.It can be installed using the ‘pip’ command as shown below −pip install scikit−learnThis library focuses on data modelling.The streamlining operation ... Read More

Matplotlib is a popular Python package that is used for data visualization. Visualizing data is a key step since it helps understand what is going on in the data without actually looking at the numbers and performing complicated computations. It helps in communicating the quantitative insights to the audience effectively.Matplotlib is used to create 2 dimensional plots with the data. It comes with an object oriented API that helps in embedding the plots in Python applications. Matplotlib can be used with IPython shells, Jupyter notebook, Spyder IDE and so on.It is written in Python. It is created using Numpy, which ... Read More

Tensorflow is a machine learning framework that is provided by Google. It is an open-source framework used in conjunction with Python to implement algorithms, deep learning applications, and much more. It is used in research and for production purposes. It has optimization techniques that help in performing complicated mathematical operations quickly.This is because it uses NumPy and multi-dimensional arrays. These multi-dimensional arrays are also known as ‘tensors’. The framework supports working with a deep neural network. It is highly scalable and comes with many popular datasets. It uses GPU computation and automates the management of resources. It comes with multitude ... Read More