phpListings is a powerful business directory website builder software crafted on a pure PHP 8.1 custom framework and uses MySQL/MariaDB for robust data storage. Whether you need business listings, classifieds, jobs, restaurant guides, consumer reviews, event directories, or blogs/articles, phpListings is your ideal choice. With our Custom Listing Types feature, easily integrate multiple listing types within a single installation, each with its set of categories, membership plans, and SEO features. Improve your online presence with phpListings!
The script includes all the tools required to easily monetize your directory listings with automated invoicing, subscription payments, configurable listing membership/pricing plans, and the ability to use any 3rd-party payment processor. Currently, phpListings supports Paypal, Authorize.Net, Stripe and Mollie gateways to collect payments. Your customers receive automated payment requests and listing status update notifications via email.
The built-in layout editor gives you the power to style your directory website easily. The intuitive widget management allows you to organize the block structure of your website pages with an easy-to-use drag-and-drop facility.
So whether you want to build a local restaurant guide with client reviews or a multi-language global manufacturers' business directory with millions of listings, phpListings is your perfect choice.
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Based on our record, Pandas seems to be more popular. It has been mentiond 201 times since March 2021. 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.
How to Accomplish: Use statistical analysis tools and libraries (e.g., Pandas for tabular data) to calculate and visualize these characteristics. For image datasets, custom scripts to analyze object sizes or mask distributions can be useful. Tools like OpenCV can assist in analyzing image properties, while libraries like Pandas and NumPy are excellent for tabular and numerical analysis. To address class... - Source: dev.to / 17 days ago
Pandas - A powerful data analysis and manipulation library for Python. Pandas Documentation - Official documentation. - Source: dev.to / 23 days ago
It's also possible for you to give a package an alias by using the as keyword. For instance, you could use the pandas package as pd like this:. - Source: dev.to / about 2 months ago
Python is a natural fit for serverless development. It boasts a vast array of libraries, including Powertools for AWS and robust libraries for data engineers. Its versatility and excellent developer experience make it a top choice for serverless projects, offering a seamless and enjoyable development experience. - Source: dev.to / 2 months ago
In data analysis, managing the structure and layout of data before analyzing them is crucial. Python offers versatile tools to manipulate data, including the often-used Pandas reset_index() method. - Source: dev.to / 2 months ago
HivePress - HivePress is a free WordPress plugin that allows you to build any type of directory and listing websites. It's incredibly easy to use and highly customizable.
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