Pandas
NumPy
Scikit-learn
OpenCV
Dataiku
Exploratory
htm.java
WEKA
Foundation
Bootstrap
Materialize CSS
Semantic UI
UIKit
Tailwind CSS
Bulma
Material UI
Pandas FoundationPandas is particularly recommended for data scientists, analysts, and engineers who need to perform data cleaning, transformation, and analysis as part of their work. It is also suitable for academics and researchers dealing with data in various formats and needing powerful tools for their data-driven research.
Based on our record, Pandas seems to be a lot more popular than Foundation. While we know about 219 links to Pandas, we've tracked only 21 mentions of Foundation. 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.
Libraries for data science and deep learning that are always changing. - Source: dev.to / 30 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 2 months 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 2 months 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 / 4 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
Foundation is a mobile-first responsive front-end framework that provides a range of CSS and JavaScript components for creating websites quickly. It’s often seen as a competitor to Bootstrap, offering more flexibility and customization options. - Source: dev.to / 7 months ago
Foundation: An easy-to-use, powerful, and flexible front-end framework for building web applications on any device. - Source: dev.to / 8 months ago
Here is a thought you might want to consider and see if it makes sense. This is personal, but I also believe this is where design codes (especially CSS) are going to go. It is not going to be Tailwind or more new frameworks. Honestly, I think all of these Bootstrap, Foundation, and Tailwind, etc. Are like middle-layer abstractions are for designs that are neither small nor large. Bootstrap won because of the... - Source: Hacker News / 9 months ago
Foundation is another popular open-source front-end framework, similar to Bootstrap, but with its own set of features and design principles. It was created by ZURB a design and development company in 2011. And is also maintained by a community of developers. - Source: dev.to / about 1 year ago
Are you cool with JS frameworks? If so, you can use a higher level of abstraction that takes care of the CSS for you. If you just want to mock something up, you can use a pre-built UI system / component framework and just put together UIs declaratively, without having to worry about the underlying CSS or HTML at all. Examples include https://mui.com/ and https://chakra-ui.com/ and https://ant.design/ Really easy... - Source: Hacker News / over 1 year ago
NumPy - NumPy is the fundamental package for scientific computing with Python
Bootstrap - Simple and flexible HTML, CSS, and JS for popular UI components and interactions
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
Materialize CSS - A modern responsive front-end framework based on Material Design
OpenCV - OpenCV is the world's biggest computer vision library
Semantic UI - A UI Component library implemented using a set of specifications designed around natural language