Showing results for web PNG Product
GitHub Repo
https://github.com/jlira5418/web_scraping_challenge
jlira5418/web_scraping_challenge
## Step 1 - Scraping Complete your initial scraping using Jupyter Notebook, BeautifulSoup, Pandas, and Requests/Splinter. * Create a Jupyter Notebook file called `mission_to_mars.ipynb` and use this to complete all of your scraping and analysis tasks. The following outlines what you need to scrape. ### NASA Mars News * Scrape the [Mars News Site](https://redplanetscience.com/) and collect the latest News Title and Paragraph Text. Assign the text to variables that you can reference later. ```python # Example: news_title = "NASA's Next Mars Mission to Investigate Interior of Red Planet" news_p = "Preparation of NASA's next spacecraft to Mars, InSight, has ramped up this summer, on course for launch next May from Vandenberg Air Force Base in central California -- the first interplanetary launch in history from America's West Coast." ``` ### JPL Mars Space Images - Featured Image * Visit the url for the Featured Space Image site [here](https://spaceimages-mars.com). * Use splinter to navigate the site and find the image url for the current Featured Mars Image and assign the url string to a variable called `featured_image_url`. * Make sure to find the image url to the full size `.jpg` image. * Make sure to save a complete url string for this image. ```python # Example: featured_image_url = 'https://spaceimages-mars.com/image/featured/mars2.jpg' ``` ### Mars Facts * Visit the Mars Facts webpage [here](https://galaxyfacts-mars.com) and use Pandas to scrape the table containing facts about the planet including Diameter, Mass, etc. * Use Pandas to convert the data to a HTML table string. ### Mars Hemispheres * Visit the astrogeology site [here](https://marshemispheres.com/) to obtain high resolution images for each of Mar's hemispheres. * You will need to click each of the links to the hemispheres in order to find the image url to the full resolution image. * Save both the image url string for the full resolution hemisphere image, and the Hemisphere title containing the hemisphere name. Use a Python dictionary to store the data using the keys `img_url` and `title`. * Append the dictionary with the image url string and the hemisphere title to a list. This list will contain one dictionary for each hemisphere. ```python # Example: hemisphere_image_urls = [ {"title": "Valles Marineris Hemisphere", "img_url": "..."}, {"title": "Cerberus Hemisphere", "img_url": "..."}, {"title": "Schiaparelli Hemisphere", "img_url": "..."}, {"title": "Syrtis Major Hemisphere", "img_url": "..."}, ] ``` - - - ## Step 2 - MongoDB and Flask Application Use MongoDB with Flask templating to create a new HTML page that displays all of the information that was scraped from the URLs above. * Start by converting your Jupyter notebook into a Python script called `scrape_mars.py` with a function called `scrape` that will execute all of your scraping code from above and return one Python dictionary containing all of the scraped data. * Next, create a route called `/scrape` that will import your `scrape_mars.py` script and call your `scrape` function. * Store the return value in Mongo as a Python dictionary. * Create a root route `/` that will query your Mongo database and pass the mars data into an HTML template to display the data. * Create a template HTML file called `index.html` that will take the mars data dictionary and display all of the data in the appropriate HTML elements. Use the following as a guide for what the final product should look like, but feel free to create your own design.  - - - ## Step 3 - Submission To submit your work to BootCampSpot, create a new GitHub repository and upload the following: 1. The Jupyter Notebook containing the scraping code used. 2. Screenshots of your final application. 3. Submit the link to your new repository to BootCampSpot. 4. Ensure your repository has regular commits and a thorough README.md file ## Hints * Use Splinter to navigate the sites when needed and BeautifulSoup to help find and parse out the necessary data. * Use Pymongo for CRUD applications for your database. For this homework, you can simply overwrite the existing document each time the `/scrape` url is visited and new data is obtained. * Use Bootstrap to structure your HTML template.
GitHub Repo
https://github.com/mohanverse/Product-Design-LandingPage.png
mohanverse/Product-Design-LandingPage.png
this is a full web of html css
GitHub Repo
https://github.com/amarish-kumar/LegoWeb-Open-source-Web-CMS-base-on-ASP.NET-Webparts-MARCXML-metadata
amarish-kumar/LegoWeb-Open-source-Web-CMS-base-on-ASP.NET-Webparts-MARCXML-metadata
Project Description LegoWeb is an open source web content management solution developed base on combination of ASP.NET 2.0 Webparts and MARCXML Metadata. It is very simple and very flexible. The most advantages of LegoWeb system are: - Unify various data collections in MARCXML format: articles, image collections, document library, product catalog, contacts, poll,... - Using Meta Content Editor to update almost your data collections - Easy in data migration - Very flexible: easy define new data collection, change xslt templates, redesign website. Demo version at http://demo.legoweb.org, backend administration at http://demo.legoweb.org/administrator with username: demo,pass: demo123. LegoWeb CMS System Architecture Overview LegoWebCMS_systemSlide1.PNG (1)LegoWeb Database - Create new SQL Server database name ex: LegoWebDb - Run aspnetregsql -S SQLSERVERNAME -E -A all - d LegoWebDb_ from C:\WINDOWS\Microsoft.Net\Framework\v2.0.50727 to install ASP.NET features on LegoWebDb. - Run LegoWebTables.sql and LegoWebStores.sql (these files in LegoWebAdmin\DbScripts) on LegoWebDb to create LegoWeb tables and stores (2)LegoWebFiles LegoWebFiles stores Template files and user files, you can host this folder as normal virtua directory or ASP.NET application directory depend on your security requirements. LegoWebFiles\File\Templates\ stores template files in some popular extensions are: *.lbl are label files in MARCXML format (visit http://lcweb.loc.gov/marcxml) to define your lable for MARC code example: 245 $a Article Title *.wfm are workform files in MARCXML format to define default fields with default value when create new a new meta content record. *.xslt are Xslt stylesheet files to transform meta content records in MARCXML format to HTML. *.htm are html template files example: agreement... *Other folders to store web content files ex: images, flash, pdf.... LegoWebFiles folder structure is default by CKEditor and CKFinder (3)LegoWebAdmin is backend administration of an LegoWebSite with some basic functions are: We are temporary borrowing skin from joomla System User management Files management using CKFinder Common parameter management: just like name value pairs defination Metadata Imports Metadata Exports Menu Menu type manager Menu details Contents Content manager Content trash manager Sections Section categories (4)LegoWebSite is frontend web application. LegoWebSite using ASP.NET webparts technology allow webmaster design a website online (runtime mode) with only some basic webparts easily. LegoWebCMS_systemSlide2.PNG LegoWebCMS_systemSlide3.PNG NTU_SystemTables.xml
GitHub Repo
https://github.com/ishaanpilar/png-to-jpeg-batch-exporter
ishaanpilar/png-to-jpeg-batch-exporter
Windows desktop app to batch-convert transparent product PNGs into web-ready JPEGs with solid backgrounds, centered padding, and a drag-and-drop GUI
GitHub Repo
https://github.com/pgthirion/pdf-product-converter
pgthirion/pdf-product-converter
A Python tool that batch converts educational PDFs into web-ready product images (PNG) and generates a WooCommerce-compatible CSV import file by parsing filename metadata.
GitHub Repo
https://github.com/victortu4/Victor-Portfolio
victortu4/Victor-Portfolio
<!DOCTYPE html> <html lang="en"> <head> <meta name="viewport" content="width=device-width, initial-scale=1.0"> <title>Jayne Doe</title> <link rel="stylesheet" href="Portfolio.css"> </head> <body> <div class="wrapper"> <div class = "header"> <h1>Jayne Doe</h1> <h2>Master of Shadows and the Internet</h2> </div> <div class = "Biography"> <img src="photo_of_me.jpg" alt="photo_of_me"> <div class="About"> <h2>About</h2> <p>Hello! I'm an extremely driven and creative Full Stack Developer who is currently open for career oppurtunities as a front-end or back-end web developer in the Greater Seattle Area.</p> <br> <p>I'm a recent graduate of Coding Dojo, a coding school located in Bellevue, WA that teaches 3 full stacks in 3 months. I'm capable of learning new technologies very quickly, and am always looking for opportunities to further expand my skills and grow as a developer. <a href="#">Continue Reading</a></p> </div> </div> <div class="FlexBoxes"> <div class="Col"> <h3 class="Tag">La Mode</h3> <div class="Personal_Image1"> <img src="lamode.png" alt="lamode" class="Personal" > <p>La Mode is an Ecommerce website for designed to market various clothing products. Users are able to view the available garments, select their desired quantity, and complie a shopping cart for making a final purchase. </p> <div class="Tech_Buttons"> <h1>Technology</h1> <img src="JavaScript.png" alt="JavaScript" class= "Techs"> <img src="ajax.png" alt="ajax" class= "Techs"> <img src="bootstrap.png" alt="bootstrap" class= "Techs" > <img src="angular.png" alt="angular" class= "Techs"> <img src="c-sharp.png" alt="c-sharp" class= "Techs"> <img src="codeigniter.png" alt="codeigniter" class= "Techs"> <img src="codepen.png" alt="codepen" class= "Techs"> <img src="CSS.png" alt="CSS" class= "Techs"> <button>La Mode</button> </div> </div> </div> <div class="Col"> <h3 class="Tag">Family Contacts</h3> <img src="familycontacts.png" alt="family_contacts" class="Personal"> <p>Family Contacts is a free application for managing, sharing, and visualizing your family relationships for both extended and immediate family. As an essential feature of the the project, your log-in information determines who you can see and reveals how people are related to you.</p> <div class="Tech_Buttons2"> <h1>Technology</h1> <img src="d3.png" alt="d3" class= "Techs"> <img src="django.png" alt="django"class= "Techs" > <img src="expressjs.png" alt="expressjs" class= "Techs"> <img src="HTML.png" alt="HTML" class= "Techs" > <img src="iOS-Swift.png" alt="iOS-Swift" class= "Techs"> <img src="jQuery.png" alt="jQuery" class= "Techs"> <img src="LAMP.png" alt="LAMP" class= "Techs"> <img src="materialize.png" alt="materialize" class= "Techs"> <img src="MEAN.png" alt="MEAN" class= "Techs"> <button>Family_Contact</button> </div> </div> <div class="Col"> <h3 class="Tag">five Eleven</h3> <img src="fiveEleven.png" alt="fiveEleven"class="Personal" > <p>Five Eleven is a data visualization project built on the Python software stack. The application transforms the developer job-hunt into a more visual, user friendly experience. Based on location, technology popularity, and the other vast data sets, users may easily visualize the varying sizes and concentrations of the junior developer job market across nation.</p> <div class="Tech_Buttons3"> <h1>Technology</h1> <img src="mongodb.png" alt="mongodb" class= "Techs"> <img src="mysql.png" alt="mysql" class= "Techs"> <img src="nodejs.png" alt="nodejs" class= "Techs"> <img src="php.png" alt="php" class= "Techs"> <img src="python.png" alt="python" class= "Techs"> <img src="RUBY.png" alt="RUBY" class= "Techs"> <img src="sqlite.png" alt="sqlite" class= "Techs"> <img src="socket.png" alt="socket"class= "Techs" > <button>fiveEleven</button> </div> </div> </div> <div class="Footer"> <div class="p1"> <p>jdoe@gmail.com | 555-555-5555<sP> </div> <p class="p2"><img src="github.png" jaynedev width=40px; height=40px; alt="github"> <class="p2"><img src="linkedin.png" jaynedev width=40px; height=40px; alt="linkedin"><class="p2"><img src="twitter.png" jaynedevwidth=40px; height=40px;alt="twitter"><class="p2"><img src="codepen.png" jaynedev width=40px; height=40px; alt="codepen"></p> </div> </div> </body> </html>
GitHub Repo
https://github.com/edwards33/amazon_reviews_scraper_app
edwards33/amazon_reviews_scraper_app
App scrapers all reviews for particular product and saves printscreen of web page as png image
GitHub Repo
https://github.com/aligundogdu/Rice-Score-Calculator
aligundogdu/Rice-Score-Calculator
This project offers a single page web UI to calculate and compare RICE scores (Reach, Impact, Confidence, Effort) for product features. It lets you add multiple features, sort them automatically by score, and export the results as a PNG image.
GitHub Repo
https://github.com/slyautomation/astar_pathfinding_node_networks
slyautomation/astar_pathfinding_node_networks
This project extracts the canvas data on https://www.osrsmap.net/ and converts each canvas display as an png file. This is done by exploiting html elements on the website and adding javascript parameter functions such as .toDataURL. .toDataURL() method returns a data URI containing a representation of the image in the format specified by the type parameter (defaults to PNG). WebDriver is an open source tool for automated testing of webapps across many browsers. It provides capabilities for navigating to web pages, user input, JavaScript execution, and more. Download the chrome webdriver here: https://chromedriver.chromium.org/downloads Base64 module allows for the script to This module provides functions for encoding binary data to printable ASCII characters and decoding such encodings back to binary data. This is useful converting the canvas data to a png file. The next function merges those images by looping the interactions of the canvas images, that results in the final product a full osrs map with icons and detailed.
GitHub Repo
https://github.com/dinocajic/java-web-image-downloader