GraphQL might be a bit more popular than Pandas. We know about 230 links to it since March 2021 and only 201 links to Pandas. 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.
GraphQL is a query language for your API, and a runtime for executing those queries by using a type system you define for your data. - Source: dev.to / 3 days ago
A headless CMS delivers content using APIs, often RESTful or GraphQL, allowing front-end developers to fetch material dynamically. This strategy makes it easier to integrate content into apps and helps developers structure their data retrieval more efficiently. - Source: dev.to / 17 days ago
In recent years, GraphQL has emerged as a powerful alternative to REST for API development. Created by Facebook in 2012 and open-sourced in 2015, GraphQL offers a more flexible and efficient approach to data querying and manipulation. If you're considering migrating your existing REST APIs to GraphQL, this step-by-step guide will help you navigate the transition smoothly. - Source: dev.to / 29 days ago
Feel free to check out the official documentation of Apollo Server and GraphQL for more detailed information on advanced topics and best practices. Happy coding! - Source: dev.to / about 1 month ago
Before starting the tutorial on developing a personal target tracking application with Flutter, Riverpod, Strapi, and GraphQL, ensure you meet the following requirements:. - Source: dev.to / about 1 month 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 / 22 days ago
Pandas - A powerful data analysis and manipulation library for Python. Pandas Documentation - Official documentation. - Source: dev.to / 28 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 / 3 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
gRPC - Application and Data, Languages & Frameworks, Remote Procedure Call (RPC), and Service Discovery
NumPy - NumPy is the fundamental package for scientific computing with Python
Next.js - A small framework for server-rendered universal JavaScript apps
OpenCV - OpenCV is the world's biggest computer vision library
React - A JavaScript library for building user interfaces
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.