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.
Based on our record, Pandas seems to be a lot more popular than Mate Translate. While we know about 219 links to Pandas, we've tracked only 6 mentions of Mate Translate. 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.
Mate Translate for translating text from the menubar. Source: about 3 years ago
I came across this app called Mate https://gikken.co/mate-translate/. Source: about 3 years ago
Https://gikken.co/mate-translate/ They have 100+ languages. The user can pick a word, say "Morning" and find it in all 100 plus languages. They also have pronunciation, phrases etc. I checked a few translations and pronunciations in some languages I know, they seem accurate and manual. Are there free dictionaries, datasets, pronunciations they are using? Or did they hire hundreds of people to compile this dataset? - Source: Hacker News / over 3 years ago
Mate Translate - Menubar-resident translation tool. Source: over 3 years ago
On macos you can add english→french and french→english in preferences in Dictionary, and then right-click or force-click on words in most places. also, maybe this is interesting: https://gikken.co/mate-translate/. Source: over 3 years ago
Libraries for data science and deep learning that are always changing. - Source: dev.to / about 1 month 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
Google Translate - Google's free service instantly translates words, phrases, and web pages between English and over 100 other languages.
NumPy - NumPy is the fundamental package for scientific computing with Python
DeepL Translator - DeepL Translator is a machine translator that currently supports 42 language combinations.
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
Microsoft Translator - Microsoft Translator is your door to a wider world.
OpenCV - OpenCV is the world's biggest computer vision library