Based on our record, Pandas seems to be a lot more popular than Dataiku. While we know about 50 links to Pandas, we've tracked only 2 mentions of Dataiku. 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.
This pattern is helpful when you need to perform an extra setup before calling a constructor. In the next section we’ll see several examples on how they are used in the Python standard library and also in third-party packages such as pandas. - Source: dev.to / 1 day ago
🐍 Note: There are many Python libraries that help with data cleaning and analytics. Two popular choices are pandas and matplotlib. However, this is a super straightforward solution using plain-vanilla Python. - Source: dev.to / 3 days ago
Than you can join them and apply filters in pandas. - Source: Reddit / 4 days ago
Python's standard library has a csv module. However, you can't just access a specific row like this. You would need an iterative approach (i.e. Using a loop). Alternatively, there is the pandas library, which is very versatile and powerful for working with tables, it's not that easy to learn though. - Source: Reddit / 5 days ago
Practical (or lazy) people like me use pandas to organize all their Python data that need multi-column sort, just like in this Jupyter Notebook example:. - Source: dev.to / 7 days 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
OpenCV - OpenCV (Open Source Computer Vision) is a library of programming functions for real time computer...
Exploratory - Exploratory enables users to understand data by transforming, visualizing, and applying advanced statistics and machine learning algorithms.
WEKA - WEKA is a set of powerful data mining tools that run on Java.
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.