Telegram
Slack
Signal
WhatsApp
Skype
Element.io
Facebook Messenger
Discord
OpenCV
Pandas
Scikit-learn
NumPy
Dataiku
Exploratory
htm.java
Figure Eight
Telegram OpenCVVery secure, straightforward,and i must say,more relevant nowadays, at least in my opinion.
Based on our record, Telegram should be more popular than OpenCV. It has been mentiond 129 times since March 2021. 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.
You can serve it in any way, either as a standalone application, a Telegram bot or a web application. We will focus on the core of the conversational application and skip the delivery method for now. - Source: dev.to / 2 months ago
Telegram is a popular messaging app that allows users to send messages, photos, videos, and other types of media to other Telegram users. Me personally use it almost everyday as a way to communicate with family and friends, in short words I really prefer it to some more popular ones as Viber and Whatsapp. One of the great features of Telegram is that it also has an API that allows developers to interact with... - Source: dev.to / 4 months ago
Telegram — Telegram is for everyone who wants fast, reliable messaging and calls. Business users and small teams may like the large groups, usernames, desktop apps, and powerful file-sharing options. - Source: dev.to / 5 months ago
(https://telegram.org/) Secure messaging app with over 500 million active users. Provides encrypted chats, group chats up to 200,000 people, file sharing and more. - Source: dev.to / 5 months ago
📢 Check out the new #MadeWithBaserow project for building habits! Baptiste Thivend has automated the process using Baserow, n8n, and Telegram. Source: 9 months ago
How to Accomplish: Use statistical analysis tools and libraries (e.g., Pandas for tabular data) to calculate and visualize these characteristics. For image datasets, custom scripts to analyze object sizes or mask distributions can be useful. Tools like OpenCV can assist in analyzing image properties, while libraries like Pandas and NumPy are excellent for tabular and numerical analysis. To address class... - Source: dev.to / 20 days ago
Open the camera feed — and use the OpenCV library for real-time computer vision processing. - Source: dev.to / about 1 month 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 / 7 months ago
You might be able to achieve this with scripting tools like AutoHotkey or Python with libraries for GUI automation and image recognition (e.g., PyAutoGUI https://pyautogui.readthedocs.io/en/latest/, OpenCV https://opencv.org/). Source: 7 months ago
- [ OpenCV](https://opencv.org/) instead of YoloV8 for computer vision and object detection. Source: 11 months ago
Slack - A messaging app for teams who see through the Earth!
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
Signal - Fast, simple & secure messaging. Privacy that fits in your pocket.
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
WhatsApp - WhatsApp Messenger: More than 1 billion people in over 180 countries use WhatsApp to stay in touch with friends and family, anytime and anywhere.
NumPy - NumPy is the fundamental package for scientific computing with Python