CakePHP VS Pandas
Compare CakePHP VS Pandas and see what are their differences
LibHunt tracks mentions of software libraries on relevant social networks. Based on that data, you can find the most popular projects and their alternatives.
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CakePHP
Laravel
CodeIgniter
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Yii Framework
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Pandas
NumPy
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WEKA
CakePHP PandasBased on our record, Pandas seems to be a lot more popular than CakePHP. While we know about 201 links to Pandas, we've tracked only 10 mentions of CakePHP. 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.
CakePHP is an open-source PHP web framework designed to help developers build web applications quickly. It is based on the MVC (Model-View-Controller) architecture and provides a powerful toolkit to simplify common development tasks such as database interactions, form handling, authentication, and session management. - Source: dev.to / 7 days ago
CakePHP is an open-source PHP framework for web development with 8.7k stars and 3.5k forks on GitHub. It offers APIs that enable developers to develop applications quickly. It allows you to create highly secure and scalable web applications, including social networks, eCommerce, and online collaboration platforms. - Source: dev.to / 5 months ago
Give https://cakephp.org/ a try. It also is one of the oldest ones out there, so quite mature and stable while being rather lightweight. Serving JSON API seems like a good fit. Source: over 1 year ago
You can download it and review the documentation here: https://cakephp.org/. - Source: dev.to / over 1 year ago
As the name of the service says it will work best with Laravel but it is not a problem to modify code from other frameworks to make it work the same way. I have several applications created this way in CakePHP. I have this set to manual after clicking the deploy button, but if you want you can turn on quick deploy and then it will publish the application after a push to the main branch (or another one, depending... - Source: dev.to / over 1 year ago
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 / 19 days ago
Pandas - A powerful data analysis and manipulation library for Python. Pandas Documentation - Official documentation. - Source: dev.to / 25 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
Laravel - A PHP Framework For Web Artisans
NumPy - NumPy is the fundamental package for scientific computing with Python
CodeIgniter - A Fully Baked PHP Framework
OpenCV - OpenCV is the world's biggest computer vision library
Django - The Web framework for perfectionists with deadlines
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.