BACK-END ENGINEER at LogicTree, Inc.

github

Saad Elkheety

<h2>Neighbourhood Map</h2><p>a single page application featuring a map of Faculty of engineering, Alexandria University. the app has a functionality to this map including highlighted locations, third-party data about those locations and various ways to browse the content.</p><h2>frameworks and libraries</h2><ul><li><p>falsk</p></li><li><p>knockout.js</p></li><li><p>bootstrap 4</p></li><li><p>jquery</p><h2>APIs</h2></li><li><p>google maps</p></li><li><p>google streetview</p></li><li><p>foursquare</p></li></ul><h2>to run the app</h2><ul><li><p>download and unzip the files</p></li><li><p>install python and flask</p></li><li><p>run <a target="_blank" rel="noopener noreferrer nofollow" class="text-green-500 rich-link break-all link-break" href="http://application.py">application.py</a></p></li></ul>

Neighbourhood Map

<h2>Item catalog</h2><p>The Item Catalog project consists of developing an application that provides a list of items within a variety of categories, as well as provide a user registration and authentication.</p><ul><li><p>Selecting a specific category shows you all the items available for that category.</p></li><li><p>Selecting a specific item shows you specific information of that item.</p></li><li><p>After logging in, a user has the ability to add, update, or delete item info.</p></li><li><p>The application provides a JSON endpoint.</p></li></ul><h2>Json End_points</h2><p>tha app provide json end points in many forms:</p><ul><li><p>{{host}}/items/json &gt;&gt; to display all items</p></li><li><p>{{host}}/category/int:id/JSON &gt;&gt; to view a category of items by its id</p></li><li><p>{{host}}/item/int:id/JSON &gt;&gt; to view an item by its id</p></li></ul><h2>Installing</h2><p>for ubuntu run command :</p><ul><li><p>sudo apt-get install imagemagick</p></li></ul><h3>For the app to work you must run commands:</h3><ul><li><p>pip install -r requirements.txt</p></li></ul><h3>to setup database you must run commands:</h3><ul><li><p>python database_setup.py</p></li><li><p>python add_main_category.py</p></li></ul><h3>finally to run the app :</h3><ul><li><p>python <a target="_blank" rel="noopener noreferrer nofollow" class="text-green-500 rich-link break-all link-break" href="http://app.py">app.py</a></p></li></ul>

Item catalog

<h2>Logs analysis</h2><p>this app is designed to analysis the data of a website to answer a question about different articles views which they are:</p><ol><li><p>What are the most popular three articles of all time?</p></li><li><p>Who are the most popular article authors of all time?</p></li><li><p>On which days did more than 1% of requests lead to errors?</p></li></ol><h2>run the app</h2><p>you just need to run the command:</p><p>$ python3 logs_analysis.py</p><p>or</p><p>$ /.logs_analysis.py</p><h2>the idea of the code</h2><p>the app consists of three postgresql quiries each answers a question</p><h3>What are the most popular three articles of all time?</h3><p>by joinig the articles and log tables on slug and path columns as slug is a part from path.</p><h3>Who are the most popular article authors of all time?</h3><p>Count the visits of every article and joining it with author table.</p><h3>On which days did more than 1% of requests lead to errors?</h3><p>find the number of all requests on everyday and find the number of all requests errors and compare them.</p>

logs analysis

<p>The responsive website is used to market the company services and projects, I created the full website with html5, css3, javascript, jquery, and boostrap in cooperation with a graphic designer.</p>

CONTRACTING COMPANY WEBSITE

<p>this is a book review website. Users will be able to register for the website and then log in using their email and password. Once they log in, they will be able to search for books, leave reviews for individual books, and see the reviews made by other people. the website also use the a third-party API by Goodreads, another book review website, to pull in ratings from a broader audience. Finally, users will be able to query for book details and book reviews programmatically via the website’s API.
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book review website

<h2>Location Base Service</h2><ul><li><p>this is a Flask app that lets users sign up, log in, and log out. As well as display places of interest around a particular location.</p></li><li><p><a target="_blank" rel="noopener noreferrer nofollow" class="text-green-500 rich-link break-all link-break" href="https://locationelkheety.herokuapp.com/">https://locationelkheety.herokuapp.com/</a></p></li></ul><h2>the app contain:</h2><ul><li><p>DataBase (Postgresql)</p></li><li><p>authentication system and authorization system</p></li><li><p>a map and data from a Wikipedia</p></li></ul><h2>requirements:</h2><ul><li><p>check requirements.txt</p></li></ul><h2>pages (server routes):</h2><ul><li><p>/</p></li><li><p>/home</p></li><li><p>/login</p></li><li><p>/logout</p></li><li><p>/signup</p></li></ul><h2>steps:</h2><ul><li><p>check the linked in article &gt;&gt; <a target="_blank" rel="noopener noreferrer nofollow" class="text-green-500 rich-link break-all link-break" href="https://www.linkedin.com/pulse/flask-saad-elkheety/">https://www.linkedin.com/pulse/flask-saad-elkheety/</a></p></li></ul>