Pandas
NumPy
Scikit-learn
OpenCV
Dataiku
Exploratory
htm.java
WEKA
Google Alerts
mention
Brand24
Meltwater
BrandWatch
F5Bot
AWARIO
Notify
Pandas Google AlertsBased on our record, Pandas seems to be a lot more popular than Google Alerts. While we know about 198 links to Pandas, we've tracked only 4 mentions of Google Alerts. 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.
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 / 16 days 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 / 9 days ago
Dash is a Python framework that enables you to build interactive frontend applications without writing a single line of Javascript. Internally and in projects we like to use it in order to build a quick proof of concept for data driven applications because of the nice integration with Plotly and pandas. For this post, I'm going to assume that you're already familiar with Dash and won't explain that part in detail.... - Source: dev.to / 2 months ago
Last year I worked through the challenges using VisiData, Datasette, and Pandas. I walked through my thought process and solutions in a series of posts. - Source: dev.to / 5 months ago
Data analysis involves scrutinizing datasets for class imbalances or protected features and understanding their correlations and representations. A classical tool like pandas would be my obvious choice for most of the analysis, and I would use OpenCV or Scikit-Image for image-related tasks. - Source: dev.to / 5 months ago
As always, I appreciate the work you do to share the information you share here. I, too, setup alerts for topics I'm interested in years ago, but figured I'd have a look at their alerts page nowadays. For starters, the google.com/alerts page is blank basically, so sending someone there could be confusing. Instead, be aware that you'll need a Gmail account to use alerts, or if using a non-gmail, it will prompt you... Source: 11 months ago
Look at other comments here, or check out https://google.com/alerts. Source: over 1 year ago
The only thing you can do is ignore them, anything else is kicking the can down the road as you cannot meet their demands forever. You should run a virus scan on every device you use and implement unique passwords for each account + two factor authentication everywhere. Once you've done that, review your accounts for any unauthorized changes, paying special attention to all security settings. If you're worried... Source: about 3 years ago
All you can do is ignore the scammer and see what happens. Ignore them if they contact you, and just lay low for some time. If you're worried, I suggest setting up a Google alert for your name in case anything is posted: https://google.com/alerts. Source: about 3 years ago
NumPy - NumPy is the fundamental package for scientific computing with Python
mention - Media monitoring made easy with Mention. Create alerts on your name, brand, competitors and be informed in real-time of any mention on the web and social networks
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
Brand24 - Brand24 is an AI-powered media monitoring tool that analyzes mentions and presents actionable insights. This tool is designed to keep track of online conversations about your brand, products, and competitors.
OpenCV - OpenCV is the world's biggest computer vision library
Meltwater - Media monitoring, social media monitoring & media Intelligence products & tools help companies grow and build brands by listening, understanding, engaging and benchmarking their customers, markets and social business communities.