miketorreno Goto Github PK
Name: Mike
Type: User
Bio: Full Stack Developer • Computer Science and Systems Engineering Graduate
Location: Addis Ababa, Ethiopia
Name: Mike
Type: User
Bio: Full Stack Developer • Computer Science and Systems Engineering Graduate
Location: Addis Ababa, Ethiopia
a GitHub action to run `pre-commit`
Samples for users of the Yelp Academic Dataset
The source code behind the "Adding Geolocation and Google Maps to Vue Applications" video
A collection of useful .gitignore templates
Backend for HospitalRun
Documentation and policies for Material Components (all platforms)
Modular and customizable Material Design UI components for the web
Codelabs for Material Components for Web (MDC Web)
A file template to help you get started with Material Components for the Web
A framework for managing and maintaining multi-language pre-commit hooks.
Part 1 - Download the Yelp dataset from Camino. Look at each JSON file and understand what information the JSON objects provide. Pay attention to the data items in JSON objects that you will need for your application (For example, categories,attributes,...etc.) - You may have to modify your database design from Homework 2 to model the database for the described application scenario on page-1. Your database schema doesn’t necessarily need to include all the data items provided in the JSON files. Your schema should be precise but yet complete. It should be designed in sucha way that all queries/data retrievals on/from the database run efficiently and effectively. - Produce DDL SQL statements for creating the corresponding tables in a relational DBMS. Note the constraints, including key constraints, referential integrity constraints, not NULL constraints, etc. needed for the relational schema to capture and enforce the semantics of your ER design. - Populate your database with the Yelp data. Generate INSERT statements for your tables and run those to insert data into your DB. II. Part 2 Implement the application for searching local businesses as explained in section “Overview & Requirements”. In this milestone you would: - Write the SQL queries to search your database. - Establish connectivity with the DBMS. - Embed/execute queries in/from the code. Retrieve query results and parse the returned results to generate the output that will be displayed on the GUI. - Implement a GUI where the user can, o browse through main and sub-categories for the businesses; select the business categories that user wants to search for; (note: The list of the main categories is given in Appendix-C. All other categories that appear in the business objects are sub-categories. Such a distinction is made for easier browsing of the business categories.) o browse through theattributes of theselected categories ;specify the attributes she/he is interested in; o search for the businesses that belong to the main and sub-categories that user specifies and have the attributes that user selects, (The user should be able to search for the businesses that have either all the attributes (AND condition) or that have any of the attributes specified (ORcondition)) o filteroutthesearchresultsforaspecificstate,city,orzipcode, o filteroutthebusinesseswhichareopenorclosedonspecificdaysoftheweek, o selectacertainbusinessinthesearchresultsandlistallthereviewsforthatbusiness.(note:The review list should also include the names of the users who provided thosereviews)
Accelerating new GitHub Actions workflows
He who flays the hide
TANNER is a remote data analysis and classification service to evaluate HTTP requests and composing the response then served by SNARE. TANNER uses multiple application vulnerability type emulation techniques when providing responses for SNARE. In addition, TANNER provides Dorks for SNARE powering its luring capabilities.
A Telegram ticketing/supporting system.
The source code for the app shown in my Populating a Google Map with Vue and Laravel video
Analysis on a Yelp Dataset using SQL
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.