Site Search 360
Algolia
ElasticSearch
Google Custom Search
Klevu
Apache Solr
Swiftype
Swiftype Site Search
Python
Rust
JavaScript
Java
C++
Elixir
Haskell
Ruby
Site Search 360 is a smart, ad-free search interface for your website. With a simple drag-and-drop integration, get your search up and running in no time! Let your visitors find exactly what they are looking for, right away.
Features of Site Search 360 include: * Quick and easy visual configuration of your search bar, suggestions and results with our Search Designer * Instant search-as-you-type results, autocomplete and popular searches * Smart categories and Faceted Search * Key information (e.g. brand, price, date) can be automatically extracted and shown directly in your search snippets * Semantic search: built-in dictionaries in 19 languages + the ability to add your custom synonyms * Analytics to help you get the most out of your search: what your visitors look for the most, what results they click on, what queries bring no results, etc. * Full control over search results: boost, reorder, redirect and map * Integration with Google Analytics and Google Tag Manager * Import of Google Custom Search promotions * Low-to-no-code Search Designer to customize your search appearance and results and avoid search abandonment * FAQ page search * Search Secure Content * Awesome support: via live chat, email, or phone
Site Search 360 PythonNo features have been listed yet.
Basic install/setup was done in about an hour. Had some questions on customization and their support staff is quick to respond and very helpful. Very good value for the price!
We have been very happy with SiteSearch 360 as it was an easy search solution to deploy to our website as well as easy to manage. It is also affordable compared to some others out there.
The plugin not only vastly improved the search experience of our clients using it, but the customer service configuring the plugin was spot on! Quick responses and in-depth one-on-one help got the plugin set up exactly how we needed it to be!
Based on our record, Python seems to be a lot more popular than Site Search 360. While we know about 282 links to Python, we've tracked only 1 mention of Site Search 360. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Site Search 360 - https://sitesearch360.com - $9/month. - Source: dev.to / about 1 year ago
Import aiohttp Import asyncio Async def fetch(session, url): async with session.get(url) as response: return await response.text() Async def main(): async with aiohttp.ClientSession() as session: html = await fetch(session, 'https://python.org') print(html) Asyncio.run(main()). - Source: dev.to / 17 days ago
Flat packages are the most common used packages, but distribution packages are more robust and can contain multiple flat packages. That's enough detail for this article but if you want to know more Armin Briegel of ScriptingOSX has a great book covering a lot of the details of these package types. I highly recommend picking up a copy for reference. One of the benefits of Distribution packages is that you can... - Source: dev.to / about 2 months ago
F-strings, introduced in Python 3.6 and later versions, provide a concise and readable way to embed expressions inside string literals. They are created by prefixing a string with the letter ‘f’ or ‘F’. Unlike traditional formatting methods like %-formatting or str.format(), F-strings offer a more straightforward and Pythonic syntax. - Source: dev.to / 4 months ago
Import aiohttp, asyncio Async def fetch_data(i, url): print('Starting', i, url) async with aiohttp.ClientSession() as session: async with session.get(url): print('Finished', i, url) Async def main(): urls = ["https://dev.to", "https://medium.com", "https://python.org"] async_tasks = [fetch_data(i+1, url) for i, url in enumerate(urls)] await... - Source: dev.to / 6 months ago
Threading involves the execution of multiple threads (smaller units of a process) concurrently, enabling better resource utilization and improved responsiveness. Python‘s threading module facilitates the creation, synchronization, and communication between threads, offering a robust foundation for building concurrent applications. - Source: dev.to / 6 months ago
Algolia - Algolia's Search API makes it easy to deliver a great search experience in your apps & websites. Algolia Search provides hosted full-text, numerical, faceted and geolocalized search.
Rust - A safe, concurrent, practical language
ElasticSearch - Elasticsearch is an open source, distributed, RESTful search engine.
JavaScript - Lightweight, interpreted, object-oriented language with first-class functions
Google Custom Search - Google Custom Search enables you to create a search engine for your website, your blog, or a collection of websites.
Java - A concurrent, class-based, object-oriented, language specifically designed to have as few implementation dependencies as possible
