Based on our record, Pandas should be more popular than jQuery. It has been mentiond 219 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.
Whenever the number of items increased, the browser became slow, sometimes even unresponsive. At first, we thought it was a server issue or maybe too much data. But no — the problem was hiding inside a small line of jQuery. - Source: dev.to / 23 days ago
Ah, jQuery — the library that powered a generation of web apps. - Source: dev.to / about 1 month ago
Then we have callbacks, which were popularized by AJAX calls. Back then, with jQuery, we could define handlers to deal with both success or failure cases. For instance, let's say we want to fetch the HTML markup of this blog (skipping error failure callback for brevity), we do. - Source: dev.to / about 2 months ago
One of them is JQuery created by John Resig. The library addresses extremely-frustrating issues related to cross-browser compatibility that existed at the time. To this day, it remains the most widely used JavaScript library in terms of actual page loads. - Source: dev.to / 4 months ago
The once popular jQuery, with its strengths fully utilized in jQuery UI and Bootstrap, provides many UI components and is also friendly to backend developers, seemingly meeting the requirements. However, looking at their component implementation and resource loading forms—. - Source: dev.to / 4 months ago
Libraries for data science and deep learning that are always changing. - Source: dev.to / 16 days ago
# Read the content of nda.txt Try: Import os, types Import pandas as pd From botocore.client import Config Import ibm_boto3 Def __iter__(self): return 0 # @hidden_cell # The following code accesses a file in your IBM Cloud Object Storage. It includes your credentials. # You might want to remove those credentials before you share the notebook. Cos_client = ibm_boto3.client(service_name='s3', ... - Source: dev.to / about 1 month ago
As with any web scraping or data processing project, I had to write a fair amount of code to clean this up and shape it into a format I needed for further analysis. I used a combination of Pandas and regular expressions to clean it up (full code here). - Source: dev.to / about 1 month ago
Python’s Growth in Data Work and AI: Python continues to lead because of its easy-to-read style and the huge number of libraries available for tasks from data work to artificial intelligence. Tools like TensorFlow and PyTorch make it a must-have. Whether you’re experienced or just starting, Python’s clear style makes it a good choice for diving into machine learning. Actionable Tip: If you’re new to Python,... - Source: dev.to / 3 months ago
This tutorial provides a concise and foundational guide to exploring a dataset, specifically the Sample SuperStore dataset. This dataset, which appears to originate from a fictional e-commerce or online marketplace company's annual sales data, serves as an excellent example for learning and how to work with real-world data. The dataset includes a variety of data types, which demonstrate the full range of... - Source: dev.to / 9 months ago
React Native - A framework for building native apps with React
NumPy - NumPy is the fundamental package for scientific computing with Python
Babel - Babel is a compiler for writing next generation JavaScript.
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
OpenSSL - OpenSSL is a free and open source software cryptography library that implements both the Secure Sockets Layer (SSL) and the Transport Layer Security (TLS) protocols, which are primarily used to provide secure communications between web browsers and …
OpenCV - OpenCV is the world's biggest computer vision library