Jupyter Notebook was created in 2014 as a part of the broader Project Jupyter initiative, which evolved from the IPython project. It was developed to provide an interactive computing environment that supported multiple programming languages, aiming to enhance collaboration and reproducibility in scientific computing and data analysis.
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About Jupyter Notebook
Strengths of Jupyter Notebook include its interactive environment, support for multiple programming languages, and rich visualization capabilities. Weaknesses involve performance issues with large datasets and limited real-time collaboration features. Competitors include Google Colab, RStudio, and Apache Zeppelin.
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How to hire a Jupyter Notebook expert
A Jupyter Notebook expert must have proficiency in Python, familiarity with data science libraries such as pandas, NumPy, and Matplotlib, experience with machine learning frameworks like TensorFlow or scikit-learn, and knowledge of Markdown for documentation. They should also understand version control using Git and have basic skills in shell scripting.
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