Based on our record, Pandas should be more popular than Kotlin. It has been mentiond 197 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.
A basic understanding of Kotlin and programming in general (OOP). - Source: dev.to / 19 days ago
Being somewhat allergic to coding in Java (this is a personal thing, if you like Java then good for you) I decided to try out writing the code using Kotlin from JetBrains instead. I'm already using IntelliJ as I work with Apache Spark using Scala, so the tooling was already there and ready to go for this. - Source: dev.to / about 1 month ago
Congrats to our friends at Kotlin. 🚀 After years of growth and development, KMP reaches a pivotal milestone with 1.9.20. We’ve been on team Kotlin Multiplatform since day one, and the best is yet to come! Learn more 👉 https://touchlab.co/kotlin-multiplatform-is-stable. Source: 6 months ago
Another option could be to check out Kotlin. It's a JVM language that while still object-oriented has may functional syntax features. Source: 6 months ago
Kotlin is not a Google project. It is made by JetBrains. It says so right up front on their web page: https://kotlinlang.org/. - Source: Hacker News / 7 months 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 / 1 day 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 / about 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 / 4 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
Pandas, a powerful data manipulation library in Python, has become an essential tool for data scientists and analysts. One of its key functions is read_csv(), which allows users to read data from CSV (Comma-Separated Values) files into a Pandas DataFrame. In this tutorial, brought to you by CodesWithPankaj.com, we will explore the intricacies of read_csv() with clear examples to help you harness its full potential. - Source: dev.to / 5 months ago
Dart - A new web programming language with libraries, a virtual machine, and tools
NumPy - NumPy is the fundamental package for scientific computing with Python
Elixir - Dynamic, functional language designed for building scalable and maintainable applications
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
Python - Python is a clear and powerful object-oriented programming language, comparable to Perl, Ruby, Scheme, or Java.
OpenCV - OpenCV is the world's biggest computer vision library