Bootstrap gives built-in UI components to build websites easier. Here we go with Bootstrap pagination implementation in a project.
Pagination is an essential component of web pages listing voluminous data. It will guide how PHP pagination helps to navigate among pages of batched results.
Quick example
See this example shows a static Bootstrap pagination HTML. By knowing this structure, it is simple then to load and loop through the dynamic result.
If you are looking for a Bootstrap pagination script with PHP and MySQL database, then get started. In this article, we are going to implement a Bootstrap-enabled PHP pagination.
It is used to read page results from the database. Then it allows page-to-page navigation using the Bootstrap nav links. This example renders pagination with or without previous and next links.
Follow the below steps to add pagination for a list in PHP.
Create the database structure and load sample data.
Configure and map the database results to the pagination component.
Compute variables like start, limit and current page number to generate pagination links.
Highlight the current page and among the clickable pagination links.
File structure
The below screenshot shows the file structure of the bootstrap pagination example. It shows a clear way of building the pagination component in PHP. This simple structure makes the learners understand the code flow easily.
Database Script
The below script is used to add data to the database. Import this SQL to have the table structure and sample data. It will help to see the pagination result on the screen while running this example.
structure.sql
--
-- Database: `bootstrap_pagination`
-- -- -------------------------------------------------------- --
-- Table structure for table `tbl_product`
-- CREATE TABLE `tbl_product` ( `id` int(11) NOT NULL, `product_name` varchar(255) NOT NULL, `price` varchar(255) NOT NULL, `model` varchar(255) NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4; --
-- Dumping data for table `tbl_product`
-- INSERT INTO `tbl_product` (`id`, `product_name`, `price`, `model`) VALUES
(1, 'GIZMORE Multimedia Speaker with Remote Control, Black', '€15.72', '2020'),
(2, 'Black Google Nest Mini', '€41.11', '2021'),
(3, 'Black Digital Hand Band, Packaging Type: Box', '€21.77', '2019'),
(4, 'Lenovo IdeaPad 3 Intel Celeron N4020 14\'\' HD ', '€356.59', '2021'),
(5, 'JBL Airpods', '€27.81', '2020'),
(6, 'Black Google Nest Mini', '€41.11', '2021'),
(7, 'Black Digital Hand Band, Packaging Type: Box', '€21.77', '2019'),
(8, 'Lenovo IdeaPad 3 Intel Celeron N4020 14\'\' HD ', '€356.59', '2021'),
(9, 'Dell New Inspiron 3515 Laptop', '€537.48', '2021'); --
-- Indexes for dumped tables
-- --
-- Indexes for table `tbl_product`
--
ALTER TABLE `tbl_product` ADD PRIMARY KEY (`id`); --
-- AUTO_INCREMENT for dumped tables
-- --
-- AUTO_INCREMENT for table `tbl_product`
--
ALTER TABLE `tbl_product` MODIFY `id` int(11) NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=11;
Designing HTML page with Bootstrap styles
This HTML page shows the database results with a bootstrap pagination navbar. It includes no external CSS. This design completely depends on Bootstrap CSS.
It connects PHP model to fetch the database results. This HTML has the embedded PHP loop to iterate the results. It displays the database results in a tabular view with a limited number of rows as configured.
It shows a dropdown to choose pagination styles. This example provides two types of pagination navbar with or without the previous next links.
The page links and style type are passed to the page URL. These params are used to build the Bootstrap pagination navbar using Common.php file.
This simple JavaScript function is to pass the chosen pagination style to the URL. On changing the dropdown value, it calls the JavaScript change_url() by passing the chosen style.
assets/js/product.js
function change_url(val) { window.location.href = "index.php?type=" + val;
}
Show pagination results via PHP
This is the PHP model class that contains functions to get paginated results.
Create Bootstrap pagination links in HTML using PHP
This Common PHP class includes the Bootstrap pagination-related functions.
It prepares the unordered pagination link list in a Bootstrap nav container.
The pagination() function receives the $count, $perpage and $href parameters. It uses $href as the base URL. It gets the current page from the query string.
It prepares the pagination URL by connecting the base URL and the pagination parameters.
If the pagination loop index points to the current page, then no link will be provided to that particular instance. And also, it highlights that instance to mark as an active page.
It displays the previous and next links on a conditional basis. This condition is based on the selected option of the Bootstrap pagination UI style chosen from the dropdown.
This example contains shortened pagination links. It helps to have a good look even if there are more pages. It avoids horizontal scrolling or wrapping.
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Posted by: xSicKxBot - 04-28-2022, 10:51 AM - Forum: Lounge
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Have A Nice Death - World 5 Guide
In Have A Nice Death, it's the reaper's mission to avoid burnout, but that can be tough when you're constantly fighting for your life. That remains true in the early access roguelike's newest content update, World 5, launching on April 28. In this new region of the gorgeous game, you'll explore the Modern Warfare department, where inter-office politics clash with deceased World War I vets like never before.
We got to go hands-on with Have A Nice Death's World 5 and you can read our full impressions here. In this guide, we'll walk you through the game's newest--and most difficult--world yet, so you're ready to go hands-on yourself. From breaking down all of the enemies you may encounter to the floors you may visit on the underworld's elevator, here's everything you need to know if you find yourself ready to take on World 5 in Have A Nice Death.
Have A Nice Death World 5 - Modern Warfare
In World 5, Death himself will need to contend with the spirits of deceased soldiers and civilians alike. It should be quite grim, and through a particular lens it surely is. But, given the game's cartoonish animation and light-hearted humor, it can also be seen in the same sort of light any World 5-ready players are used to. The new levels are rich with never-before-seen enemies and come alongside a patch that alters the way some things play across the entire game.
JVM in containers Modern day software systems are moving towards containers. But there are a few important factors to understand before we move our Java/JVM based applications to containers. These factors raise questions about Java's suitability for containers. Imagine an environment in which 10 ins...
In this article, you’ll learn how to create a Dictionary from two (2) Lists in Python.
To make it more fun, we have the following running scenario:
Biogenix, a Lab Supplies company, needs to determine the best element from the Periodic Table for producing a new product. They have two (2) lists. The Element Name, the other Atomic Mass. They would prefer this in a Dictionary format.
For simplicity, this article uses 10 of the 118 elements in the Periodic Table.
Question: How would we create a Dictionary from two (2) Lists?
We can accomplish this task by one of the following options:
Lines [1-2] create two (2) lists containing the Element Name (el_name) and corresponding Atomic Mass (el_atom), respectively.
Line [3] merges the two (2) lists using zip() and converts them into an iterable object. The results save to merge_lists.
Line [4] converts merge_lists into a Dictionary (dict()). The results save to new_dict as key:value pairs.
Line [5] instantiates a For loop to return the key:value pairs from new_dict.
Each iteration outputs the key:value pair in a column format to the terminal.
Code (snippet)
Meitnerium
277.154
Darmstadtium
282.166
Roentgenium
282.169
Copernicium
286.179
Nihonium
286.182
Method 2: Use Dictionary Comprehension
This method uses Dictionary Comprehension to merge two (2) lists into an iterable object and convert it into a Dictionary as key:value pairs. A great one-liner!
el_name = ['Meitnerium', 'Darmstadtium', 'Roentgenium', 'Copernicium', 'Nihonium', 'Flerovium', 'Moscovium', 'Livermorium', 'Tennessine', 'Oganesson']
el_atom = [277.154, 282.166, 282.169, 286.179, 286.182, 290.192, 290.196, 293.205, 294.211, 295.216]
new_dict = {el_name[i]: el_atom[i] for i in range(len(el_name))} for k, v in new_dict.items(): print ("{:<20} {:<15}".format(k, v))
Lines [1-2] create two (2) lists containing the Element Name (el_name) and the corresponding Atomic Mass (el_atom), respectively.
Line [3] merges the lists as key:value pairs and converts them into a Dictionary. The results save to new_dict.
Line [4] instantiates a For loop to return the key:value pairs from new_dict.
Each iteration outputs the key:value pair in a column format to the terminal.
Code (snippet)
Meitnerium
277.154
Darmstadtium
282.166
Roentgenium
282.169
Copernicium
286.179
Nihonium
286.182
Method 3: Use Generator Expression with zip() and dict()
This method uses a Generator Expression to merge two (2) lists into an iterable object (zip()) and convert it into a Dictionary (dict()) as key:value pairs.
el_name = ['Meitnerium', 'Darmstadtium', 'Roentgenium', 'Copernicium', 'Nihonium', 'Flerovium', 'Moscovium', 'Livermorium', 'Tennessine', 'Oganesson']
el_atom = [277.154, 282.166, 282.169, 286.179, 286.182, 290.192, 290.196, 293.205, 294.211, 295.216]
gen_exp = dict(((k, v) for k, v in zip(el_name, el_atom))) for k, v in new_dict.items(): print ("{:<20} {:<15}".format(k, v))
Lines [1-2] create two (2) lists containing the Element Name (el_name) and the corresponding Atomic Mass (el_atom) respectively.
Line [3] uses a Generator Expression to merge the lists (zip()) and create an iterable object. The object converts into a Dictionary (dict()) and saves back to gen_exp.
Line [5] instantiates a For loop to return the key:value pairs from new_dict.
Each iteration outputs the key:value pair in a column format to the terminal.
Code (snippet)
Meitnerium
277.154
Darmstadtium
282.166
Roentgenium
282.169
Copernicium
286.179
Nihonium
286.182
Method 4: Use a Lambda
This method uses a Lambda to merge two (2) lists into an iterable object (zip()) and convert it into a Dictionary (dict()) as key:value pairs.
el_name = ['Meitnerium', 'Darmstadtium', 'Roentgenium', 'Copernicium', 'Nihonium', 'Flerovium', 'Moscovium', 'Livermorium', 'Tennessine', 'Oganesson']
el_atom = [277.154, 282.166, 282.169, 286.179, 286.182, 290.192, 290.196, 293.205, 294.211, 295.216]
new_dict = dict((lambda n, a: {name: el_atom for name, el_atom in zip(n, a)})(el_name, el_atom)) for k, v in new_dict.items(): print ("{:<20} {:<15}".format(k, v))
Lines [1-2] create two (2) lists containing the Element Name (el_name) and the corresponding Atomic Mass (el_atom) respectively.
Line [3] uses a lambda to merge the lists (zip()) and create an iterable object. The results save to a Dictionary new_dict as key:value pairs.
Line [4] instantiates a For loop to return the key:value pairs from new_dict.
Each iteration outputs the key:value pair in a column format to the terminal.
Code (snippet)
Meitnerium
277.154
Darmstadtium
282.166
Roentgenium
282.169
Copernicium
286.179
Nihonium
286.182
Summary
After reviewing the above methods, we decide that Method 2 is best suited: minimal overhead and no additional functions required.
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Proposed changes to monetization approaches are reportedly being discussed at Twitch, with a big change to partner revenue cuts being proposed.
In a report by Bloomberg, several sources state that Amazon, Twitch's parent company, is continuing to look for long-term answers to financial stability for the streaming platform, sometimes at the expense of its users. One of the largest changes that could be introduced in the coming months will cut revenue from channel subscriptions (which can range from $5 to $25) from 70% to just 50% for Twitch partners, which consists of Twitch's biggest streamers.
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For 24+ years, Java technology has advanced the world we interact with every day. With Oracle’s stewardship, Java technology continues to offer developers innovative functionality to build out the next generation of applications that bring utility to us, both personally and professionally. And durin...
Question: How would we create a Dictionary from two (2) Lists?
