Jupyter Notebook Pandas DataFrame Example - Jupyter-notebook Typing CST Test
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Jupyter Notebook Pandas DataFrame Example — Jupyter-notebook Code
Creates a simple Pandas DataFrame and displays it.
import pandas as pd
data = {'Name':['Alice','Bob'],'Age':[25,30]}
df = pd.DataFrame(data)
dfJupyter-notebook Language Guide
Jupyter Notebook is an open-source interactive web-based environment that allows users to create and share documents containing live code, equations, visualizations, and narrative text. It is widely used for data science, scientific computing, and machine learning.
Primary Use Cases
- ▸Data analysis and visualization
- ▸Machine learning experiments
- ▸Teaching programming, statistics, and data science
- ▸Documenting scientific research workflows
- ▸Interactive tutorials and demonstrations
Notable Features
- ▸Interactive live code execution
- ▸Rich text support with Markdown
- ▸Inline visualizations (Matplotlib, Plotly, etc.)
- ▸Support for multiple programming languages via kernels
- ▸Export notebooks to multiple formats (HTML, PDF, slides)
Origin & Creator
Jupyter Notebook originated from the IPython project, created by Fernando Pérez in 2001, and later evolved into the Jupyter Project in 2014 to support multiple languages.
Industrial Note
Widely used in data science, machine learning, scientific research, and educational contexts. Less suited for building production web applications or large-scale software systems.
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