TweetDeck
HootSuite
Buffer
SproutSocial
AgoraPulse
Tweetbot
Zoho Social
mention
NumPy
Pandas
Scikit-learn
OpenCV
Dataiku
Exploratory
htm.java
WEKA
TweetDeckNumPy might be a bit more popular than TweetDeck. We know about 112 links to it since March 2021 and only 76 links to TweetDeck. 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.
All users can continue to access their saved searches & workflows via https://tweetdeck.twitter.com by selecting “Try the new TweetDeck” in the bottom left menu. [...] All your saved searches, lists, and columns will carry over to the new TweetDeck. You’ll be prompted to import your columns when you load the application for the first time. Source: 12 months ago
We have just launched a new, improved version of TweetDeck. All users can continue to access their saved searches & workflows via https://tweetdeck.twitter.com by selecting “Try the new TweetDeck” in the bottom left menu. Source: 12 months ago
I use Twitter. The Tweetdeck website is perfect for this. You can make lists for the topics of your choice and put whatever accounts you want into those lists. You never see a single dumb user comment unless you specifically want to. Source: about 1 year ago
I see. I just found https://tweetdeck.twitter.com/ Just a simple dashboard to configure and get a neat view. No automation. Source: about 1 year ago
Somehow I don't think the handful of Reddit commenters are representative of the hundreds of millions of Twitter users. Lists are so important and so widely used that they are one of the main menu items under your profile and Twitter has an entire website interface dedicated to them. Source: about 1 year ago
How to Accomplish: Develop a script that iterates over the image database, preprocesses each image according to the model's requirements (e.g., resizing, normalization), and feeds them into the model for prediction. Ensure the script can handle large datasets efficiently by implementing batch processing. Use libraries like NumPy or Pandas for data management and TensorFlow or PyTorch for model inference. Include... - Source: dev.to / 7 days ago
NumPy: This library is fundamental for handling arrays and matrices, such as for operations that involve image data. NumPy is used to manipulate image data and perform calculations for image transformations and mask operations. - Source: dev.to / 8 days ago
NumPy - The fundamental package for scientific computing with Python. NumPy Documentation - Official documentation. - Source: dev.to / 13 days ago
This guide covers the basics of NumPy, and there's much more to explore. Visit numpy.org for more information and examples. - Source: dev.to / 15 days ago
Below is an example of a code cell. We'll visualize some simple data using two popular packages in Python. We'll use NumPy to create some random data, and Matplotlib to visualize it. - Source: dev.to / 9 months ago
HootSuite - Enhance your social media management with Hootsuite, the leading social media dashboard. Manage multiple networks and profiles and measure your campaign results.
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
Buffer - Buffer makes it super easy to share any page you're reading. Keep your Buffer topped up and we automagically share them for you through the day.
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
SproutSocial - Sprout Social is a social media management tool created to help businesses find new customers & grow their social media presence. Try it for free.
OpenCV - OpenCV is the world's biggest computer vision library