Artificial Intelligence (AI)
Are you ready to build intelligent, interactive AI systems that work together like a well-coordinated team? Meet Legion , a powerful, provider-agnostic multi-agent framework that makes it easy to create, manage, and scale complex AI workflows, with just Python. Whether you're building chatbots, automation pipelines, or AI-powered research tools,
Artificial Intelligence (AI)
Marimo: The Next-Gen Python Notebook for Developers & Data Scientists
database
Unlocking the Power of Databases Through Natural Language
data science
Mercury is a free and open-source app that allows you to add interactive widgets in Python notebooks, so you can share notebooks as web applications. Mercury offers a set of widgets with simple re-execution of cells. Features * Easy to use * add widgets with Python code - no frontend experience needed!
Jupyter
Voila is an open-source tool that converts Jupyter notebooks into interactive dashboards and web applications. It allows users to create dynamic interfaces using ipywidgets without needing front-end development skills. Voila executes code server-side, providing secure interactions with output only. It is compatible with JupyterHub, it supports multi-user environments and can
data science
What is Ipyvolume? Ipyvolume is an innovative application designed for 3D plotting in Python, specifically within the Jupyter notebook environment. Using WebGL and IPython widgets, it provides a robust platform for visualizing complex data in three dimensions. Its capabilities include volume rendering, scatter plots, quiver plots, isosurface rendering, and lasso
List
SPSS is a proprietary commercial statistical software package. It enables statisticians and researchers to perform complex data analysis operations. Even though SPSS is powerful, it has some issues. It's costly, so small groups or solo researchers might find it hard to afford. Also, its interface isn't
Tutorials
In this tutorial, we will explore how to use Pandas to visualize data. We will cover various techniques and code snippets to create insightful visualizations. Let's dive in! 1- Import the necessary libraries: import pandas as pd import matplotlib.pyplot as plt 2- Load the data into a
code
To filter data using Pandas, one effective approach is to utilize boolean indexing. This powerful technique allows you to select rows from a DataFrame based on specific conditions. By applying boolean indexing, you can easily extract the desired subset of data that meets certain criteria. Below, I have provided some
Python
To convert JSON to CSV using Python, you can use the pandas library. What is Pandas library? Pandas is a powerful open-source library for data analysis and manipulation in Python. It offers data structures and functions that make it easy to efficiently manipulate and analyze structured data, including CSV files,
Python
This guide is the very first step to pursuing your career as a Python developer. Let’s learn what you need.
data science
Orange is a powerful and user-friendly data mining and visualization toolbox designed for both beginners and experienced users. With Orange, you can easily explore and analyze your data without the need for any programming skills or advanced mathematical knowledge. The primary goal of Orange is to make data science accessible
data analysis
Voici is an exceptional tool that offers a unique way of generating static dashboards from Jupyter Notebooks. Notably, it can replace Voilà with ease. This is because it provides and supports most of Voilà's configuration options and commands, while also offering some unique features of its own. One