Based on our record, Pandas should be more popular than OpenCV. It has been mentiond 50 times since March 2021. We are tracking product recommendations and mentions on Reddit, HackerNews and some other platforms. They can help you identify which product is more popular and what people think of it.
We’ve learned a lot while setting up Spark on AWS EMR. While this post will focus on how to use PySpark with Pandas, let us know in the comments if you’re interested in a future article on how we set up Spark on AWS EMR. - Source: dev.to / about 4 hours ago
Pandas is a widely-used data analysis library in Python. It provides a high-performance data structure called DataFrame for working with table-like structures. - Source: dev.to / 1 day ago
If you really want though, you can easily load excel documents into python using Pandas. (A quick tutorial is available here: https://datatofish.com/read_excel/). - Source: Reddit / 5 days ago
Website: https://pandas.pydata.org/ Github Repository: https://github.com/pandas-dev/pandas Developed By: Community Developed (Originally Authored by Wes McKinney) Primary Purpose: Data Analysis and Manipulation. - Source: dev.to / 13 days ago
Take a python course at your uni if you are just starting or you can self start with a project in mind. After you feel comfortable with python learn how to use numpy and pandas by playing around in a jupyter notebook. After that learn how to create GUIs with pyqt5 in QTdesigner. Then it's just learning how to make it do math properly once and you're making programs before you know it. It's also useful to learn... - Source: Reddit / 23 days ago
Website: https://opencv.org/ Github Repository: https://github.com/opencv/opencv Developed By: initially by Intel Corporation Primary purpose: Only focuses on Computer Vision OpenCV. - Source: dev.to / 13 days ago
(Feel free to read some documentation/tutorials over at https://opencv.org/). - Source: Reddit / 18 days ago
Depending on what you need and how hardcore you are, you could use OpenCV. Then again, OpenCV is overkill in most cases where you don't have 100.000+ images that need processing in a very specific way. - Source: Reddit / 18 days ago
A classmate of mine back in the day made a rig that would automate the deadbolt on their front door. Obviously there are physical security concerns here but it would probably use an embedded board (Arduino or otherwise) and a servo (basis of a lot of robotics). If memory serves, they also tried hooking up a webcam to use OpenCV to do facial recognition as well. - Source: Reddit / about 2 months ago
OpenCV - The bread and butter of computer vision. Enough said. - Source: Reddit / 3 months ago
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
NumPy - NumPy is the fundamental package for scientific computing with Python
Dataiku - Dataiku is the developer of DSS, the integrated development platform for data professionals to turn raw data into predictions.
WEKA - WEKA is a set of powerful data mining tools that run on Java.
Exploratory - Exploratory enables users to understand data by transforming, visualizing, and applying advanced statistics and machine learning algorithms.
htm.java - htm.java is a Hierarchical Temporal Memory implementation in Java, it provide a Java version of NuPIC that has a 1-to-1 correspondence to all systems, functionality and tests provided by Numenta's open source implementation.