Server Side Programming Articles - Page 2336 of 2650

In the 0-1 knapsack problem, a set of items is given, each with a weight and a value. We need to determine the number of each item to include in a collection so that the total weight is less than or equal to the given limit and the total value is as large as possible. In this article, we will discuss how to solve the 0-1 knapsack problem using dynamic programming. Dynamic Programming is a technique where we solve problems by breaking them into smaller sub-problems. If a subproblem is solved multiple times, DP stores the results so that we ... Read More

Functions in this module provide usefule information about live objects such as modules, classes, methods, functions, code objects etc. These functions perform type checking, retrieve source code, inspect classes and functions, and examine the interpreter stack.getmembers()− This function returns all the members of an object in a list of name, value pairs sorted by name. If the optional predicate is supplied, only members for which the predicate returns a true value are included. getmodulename() −This function returns the name of the module named by the file path, without including the names of enclosing packagesWe shall be using following script for ... Read More

Python provides multiple libraries for image processing including Pillow, Python Imaging library, scikit-image or OpenCV.We are going to use Pillow library for image processing here as it offers multiple standard procedures for image manipulation and supports the range of image file formats such as jpeg, png, gif, tiff, bmp and others.Pillow library is built on top of Python Imaging Library(PIL) and provides more features than its parent library(PIL).InstallationWe can install pillow using pip, so just type following in the command terminal −$ pip install pillowBasic operation on a pillowLet’s some basic operation on images using pillow library.from PIL import Image ... Read More

The configparser module from Python's standard library defines functionality for reading and writing configuration files as used by Microsoft Windows OS. Such files usually have .INI extension.The INI file consists of sections, each led by a [section] header. Between square brackets, we can put the section’s name. Section is followed by key/value entries separated by = or : character. It may include comments, prefixed by # or ; symbol. A sample INI file is shown below −[Settings] # Set detailed log for additional debugging info DetailedLog=1 RunStatus=1 StatusPort=6090 StatusRefresh=10 Archive=1 # Sets the location of the MV_FTP log file LogFile=/opt/ecs/mvuser/MV_IPTel/log/MV_IPTel.log ... Read More

Web scraping not only excite the data science enthusiasts but to the students or a learner, who wants to dig deeper into websites. Python provides many webscraping libraries including, ScrapyUrllibBeautifulSoupSeleniumPython RequestsLXMLWe’ll discuss the lxml library of python to scrape data from a webpage, which is built on top of the libxml2 XML parsing library written in C, which helps make it faster than Beautiful Soup but also harder to install on some computers, specifically Windows.Installing and importing lxmllxml can be installed from command line using pip, pip install lxmlorconda install -c anaconda lxmlOnce lxml installation is complete, import the html ... Read More

We are going to cover some useful python tricks and tips that will come handy when you are writing program in competitive programming or for your company as they reduce the code and optimized execution. Get n largest elements in a list using the module heapq Example import heapq marks = [91, 67, 34, 56, 78, 99, 87, 23, 78, 66] print("Marks = ", marks) print("Largest =", heapq.nlargest(2, marks)) Output Marks = [91, 67, 34, 56, 78, 99, 87, 23, 78, 66] Largest = [99, 91] Get n smallest elements in a list using the ... Read More

Image Processing Using OpenCVOpenCV(Open source computer vision) is an open source programming library basically developed for machine learning and computer vision. It provides common infrastructure to work on computer vision applications and to fasten the use of machine learning in commercial products.With more than 2.5 thousand optimized algorithms for both computer vision and machine learning are both classic and state-of-the-art algorithms. With so many algorithms, makes it to use the library for multiple purposes including face detection & recognization, identify objects, classify human actions in videos, track camera movements, join images together to produce a high resolution image of an ... Read More

OpenCV(Open source computer vision) is an open source programming library basically developed for machine learning and computer vision. It provides common infrastructure to work on computer vision applications and to fasten the use of machine learning in commercial products.With more than 2.5 thousand optimized algorithms for both computer vision and machine learning are both classic and state-of-the-art algorithms. With so many algorithms, makes it to use the library for multiple purposes including face detection & reorganization, identify objects, classify human actions in videos, track camera movements, join images together to produce a high resolution image of an entire scene and ... Read More

The imagecreatetruecolor() function creates a new true color image.Syntaximagecreatetruecolor (width , height )Parameterswidth: The image width.height: The image height.ReturnThe imagecreatetruecolor() function returns an image resource identifier on success, FALSE on errors.ExampleThe following is an example Live DemoOutputThe following is the output displaying the height and width of the new image:500 600ExampleLet us see another example with different height and width: Live DemoOutputThe following is the output displaying the height and width of the new image:450 300

The imageconvolution() functionSyntaxbool imageconvolution (img, matrix, div, offset )Parametersimg: Create image with imagecreatetruecolor() function.matrix: A 3x3 matrix is an array of three arrays of three floats.div: Divisor of the result of the convolution, used for normalization.offset: The color offset.ReturnThe imageconvolution() function returns True on success or False on failure.ExampleThe following is an exampleOutputThe following is the outputExampleLet us see another example with different parameter values for the same image. You can easily spot the difference now:OutputThe following is the output