Pandas 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.
Weglot is recommended for e-commerce businesses, content creators, and companies with multinational audiences who need a reliable and easy-to-implement translation solution. It is also suitable for website owners seeking to improve their global SEO by having their content available in multiple languages.
Based on our record, Pandas seems to be a lot more popular than Weglot. While we know about 219 links to Pandas, we've tracked only 4 mentions of Weglot. 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
I've heard really great things about https://weglot.com/ but honestly haven't tried it out yet. One of the benefits is apparently their focus on multi-language SEO which I know has been a big pain for many. Source: about 3 years ago
You can easily translate your Webflow website with Weglot! You can check our integration guide or video tutorial to learn how to get started and you can always reach out to us at [support@weglot.com](mailto:support@weglot.com) if you have any questions! Source: about 3 years ago
In that case give https://weglot.com/ a try. Source: about 3 years ago
For the multilingual aspect, if the client is willing to pay you could look at a more professional looking setup with a language switcher using Weglot. Source: over 3 years ago
NumPy - NumPy is the fundamental package for scientific computing with Python
Localazy - Forget all the hassle and make your app available in 80+ languages with the translation platform built for app developers.
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
DeepL Translator - DeepL Translator is a machine translator that currently supports 42 language combinations.
OpenCV - OpenCV is the world's biggest computer vision library
MotionPoint - The Only Turn-key Solution for Multilingual Websites.