Patent Search Strategies and Techniques

An appropriate patent inquiry ought to be thorough, exhaustive, definite and should take a gander at the item thought or innovation from different points to ensure all stages and blends are being thought about and that all I's are specked and that all T's are crossed.

Many think that looking for a patent is just about as straightforward as going to Google Patents and entering some data, yet this cycle involves substantially more. An inventor may conduct a patent search on his own, but there are many benefits to a professional patent search that many are probably not aware of. Besides, there are much more benefits if a patent hunt incorporates a legitimate assessment.

At Patent Services USA, all our patent inquiries are thorough and incorporate a lawful assessment. We approach an enormous organization of profoundly qualified and experienced autonomous enrolled patent lawyers and when you work with us, a full patent inquiry is directed and will incorporate a legitimate assessment in regards to how patentable your innovation thought is, that can give you a decent sign of if you should keep on pursuing the thought.

Contact us:

Patent Services USA


28 W Flagler Street, Suite 500 Miami, FL, 33130

Phone Number- 888-344-6836

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Patent Search Strategies and Techniques

I am Developer


Laravel 7 Full Text Search MySQL

Here, I will show you how to create full text search in laravel app. You just follow the below easy steps and create full text search with mysql db in laravel.

Laravel 7 Full Text Search Mysql

Let’s start laravel full-text search implementation in laravel 7, 6 versions:

  1. Step 1: Install Laravel New App
  2. Step 2: Configuration DB .evn file
  3. Step 3: Run Migration
  4. Step 4: Install Full Text Search Package
  5. Step 5: Add Fake Records in DB
  6. Step 6: Add Routes,
  7. Step 7: Create Controller
  8. Step 8: Create Blade View
  9. Step 9: Start Development Server

#laravel full text search mysql #laravel full text search query #mysql full text search in laravel #full text search in laravel 6 #full text search in laravel 7 #using full text search in laravel

Ray  Patel

Ray Patel


Search Emails From A Domain Through Search Engines for Python


Search emails from a domain through search engines for python


> pip3 install emailfinder

Upgrades are also available using:

> pip3 install emailfinder --upgrade

Search Engines

  • google: Ok (note cookies policy and Captcha!).
  • bing: OK.
  • baidu: OK (few requests).
  • bing: Hunting Robots very fast.

#email #python #search emails #search emails through search engines #search emails from a domain through search engines for python #domain

I am Developer


Ajax Live Data Search using jQuery PHP MySQL

simple search code in php with demo. Here, i will show you how to create live search in PHP MySQL using jQuery ajax from database.

PHP MySQL Ajax Live Search

Use the following simple steps and create ajax live search PHP MySQL from database:

  1. Connecting Database File
  2. Create an ajax live search form PHP
  3. Create a PHP Script for Live Search From DB using Ajax

#live search in php mysql ajax with examples #simple search code in php with demo #php mysql search form example #php code for search data from database #source code search php

Ahebwe  Oscar

Ahebwe Oscar


Basic and Full-text Search with Django and Postgres

Unlike relational databases, full-text search is not standardized. There are a number of open-source options like ElasticSearch, Solr, and Xapian. ElasticSearch is probably the most popular solution; however, it’s complicated to set up and maintain. Further, if you’re not taking advantage of some of the advanced features that ElasticSearch offers, you should stick with the full-text search capabilities that many relational (like Postgres, MySQL, SQLite) and non-relational databases (like MongoDB and CouchDB) offer. Postgres in particular is well-suited for full-text search. Django supports it out-of-the-box as well.

For the vast majority of your Django apps, you should, at the very least, start out with leveraging full-text search from Postgres before looking to a more powerful solution like ElasticSearch or Solr.

In this article, we’ll add basic and full-text search to a Django app with Postgres.


By the end of this article, you should be able to:

  1. Set up basic search functionality in a Django app with the Q object
  2. Add full-text search to a Django app
  3. Sort full-text search results by relevance using stemming, ranking, and weighting

#basic and full-text search with django and postgres #django #search lookup #postgres #full-text search #postgres full text search

Jerad  Bailey

Jerad Bailey


Searching Algorithms in Java

Searching Algorithms are designed to check for an element or retrieve an element from any data structure where it is stored. Based on the type of search operation, these algorithms are generally classified into two categories:

  1. Sequential Search: In this, the list or array is traversed sequentially and every element is checked. For Example: Linear Search.
  2. Interval Search: These algorithms are specifically designed for searching in sorted data-structures. These type of searching algorithms are much more efficient than Linear Search as they repeatedly target the center of the search structure and divide the search space in half. For Example: Binary Search.

Linear Search: The idea is to traverse the given array arr[] and find the index at which the element is present. Below are the steps:

  • Let the element to be search be x.
  • Start from the leftmost element of arr[] and one by one compare x with each element of arr[].
  • If x matches with an element then return that index.
  • If x doesn’t match with any of elements then return -1.

#java #searching #algorithms-searching #binary search