Create a List of N Lists in Python

Mukul Latiyan
Updated on 04-Aug-2023 17:02:43

4K+ Views

When working with data in Python, there may be situations where you need to organise your data into a list of N−lists. This data structure, commonly known as a "list of lists, " allows you to store and access multiple sets of data in a structured and flexible manner. Each individual list within the main list can contain different types of data or even other nested lists. This article will explore various methods to create a list of N−lists in Python, providing you with the knowledge and tools to efficiently manage and manipulate your data. Whether you're dealing with multidimensional ... Read More

Access an HTML Document in a Browser

Nikhilesh Aleti
Updated on 04-Aug-2023 17:02:35

778 Views

HTML stands for Hyper Text Markup Language and is a web-based scripting language. HTML consists set of elements that are used to create and structure web pages. Programmers often prefer HTML to design websites because it is flexible and easy to use. In this article, we discuss how to create an HTML file, what is an HTML file, and explain how to open one in a browser. What is an HTML file? An HTML file is a text document written in Hypertext markup language that contains the content and structure of a webpage. This HTML file contains various tags ... Read More

Classifying Clothing Images in Python

Mukul Latiyan
Updated on 04-Aug-2023 17:00:31

514 Views

Image classification is a type of machine learning task that involves identifying the objects or scenes in an image. It is a challenging task, but it has many applications in real−world problems such as facial recognition, object detection, and medical image analysis. In this article, we will discuss how to classify clothing images using Python. We will use the Fashion−MNIST dataset, which is a collection of 60, 000 grayscale images of 10 different clothing items. We will build a simple neural network model to classify these images. Import the Modules The first step is to import the necessary modules. We ... Read More

Convert Python Datetime to Excel Serial Date Number

Mukul Latiyan
Updated on 04-Aug-2023 16:58:09

2K+ Views

Excel uses a special format to store dates and times, called serial date numbers. Serial date numbers are a count of days since January 1, 1899, which is the date that Excel considers to be the beginning of time. Python's datetime module provides powerful tools for working with dates and times. However, when it comes to interoperability with other applications, such as Microsoft Excel, we often encounter the need to convert Python datetime objects into Excel's serial date number format. In this article, we will explore how to perform this conversion and bridge the gap between Python and Excel. Understanding ... Read More

Convert 1-D Arrays as Columns into a 2-D Array in Python

Mukul Latiyan
Updated on 04-Aug-2023 16:56:06

248 Views

Arrays are fundamental data structures in programming, enabling us to store and manipulate collections of values efficiently. Python, as a versatile programming language, provides numerous tools and libraries for working with arrays and matrices. In particular, the ability to convert 1−D arrays into 2−D arrays is an essential skill when dealing with tabular data or performing operations requiring a two−dimensional structure. In this article, we will explore the process of converting 1−D arrays into columns of a 2−D array using Python. We will cover various methods, ranging from manual manipulation to leveraging powerful libraries such as NumPy. Whether you are ... Read More

Convert 1D Array of Tuples to 2D Numpy Array

Mukul Latiyan
Updated on 04-Aug-2023 16:54:09

6K+ Views

When working with data in Python, it is often necessary to transform and manipulate arrays to facilitate analysis and computations. One common scenario is converting a 1D array of tuples into a 2D Numpy array. This conversion allows for easier indexing, slicing, and applying array operations. In this article, our focus will be on the conversion process of transforming a 1D array of tuples into a Numpy array. 1D Array of Tuple A 1D array of tuples refers to a data structure in which tuples are arranged sequentially in a one−dimensional array. For example, consider the following 1D array of ... Read More

Connect to SQLite Database in Memory Using Python

Mukul Latiyan
Updated on 04-Aug-2023 16:52:03

3K+ Views

SQLite is a popular, lightweight, and self−contained database engine that is widely used in various applications. One of the unique features of SQLite is its ability to create databases in memory, which allows for faster data access and manipulation. In this article, we will explore how to connect to an in−memory SQLite database using Python, providing step−by−step instructions, code examples, explanations, and sample outputs. Understanding SQLite In−Memory Databases An SQLite in−memory database is a temporary database that resides entirely in memory instead of being stored on disk. This type of database is useful for scenarios where data needs to be ... Read More

Golang Program for 0/1 Knapsack Problem

Akhil Sharma
Updated on 04-Aug-2023 16:49:37

323 Views

In this Go language article, we will write programs that take in list of weights and values for items and a maximum weight capacity for knapsack. Knapsack problem is an optimization problem that uses dynamic programming. Here, the purpose is to find out the set of items that can be included in the knapsack without exceeding its weight capacity or maximum weight. Dynamic programming involves solving of problems by breaking them down into smaller subproblems and them combining them to get an optimal solution. Syntax func make ([] type, size, capacity) The make function in go language ... Read More

Convert Float to Datetime in Pandas DataFrame

Mukul Latiyan
Updated on 04-Aug-2023 16:48:44

5K+ Views

Pandas is a powerful data manipulation library widely used in Python for data analysis and preprocessing tasks. When working with data, it is common to encounter situations where dates and times are represented as floating−point numbers instead of the expected datetime format. In such cases, it becomes essential to convert the float values to datetime objects to perform accurate time−based analysis. This article aims to provide a comprehensive guide on how to convert float values to datetime objects in a Pandas DataFrame. Understanding the importance of converting float to datetime Datetime objects offer several advantages over float representations of dates ... Read More

Golang Program to Filter Elements in a Slice Using Anonymous Function

Akhil Sharma
Updated on 04-Aug-2023 16:48:04

286 Views

In this Go language article, we will write programs that take in a slice of integers and an anonymous function that filters each element in the slice. An anonymous function is the function which uses no function name and is called by the variable which is assigned to it. It is used generally used with event listeners. Here, Filter function will be created with the anonymous functions to filter the values from slice. Syntax func append(slice, element_1, element_2…, element_N) []T The append function is used to add values to an array slice. It takes number of arguments. The first ... Read More

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