What is Jupyter Notebook?
Jupyter Notebook is an interactive web-based environment for writing and running code. It allows you to write code in cells, execute them, and see the results displayed below the code cells. It also supports adding explanatory text and visualizations in the same document. Users can execute code in a step-by-step manner, which makes it a convenient tool for data analysis and model development.
Why is Jupyter Notebook widely used in model development?
In Jupyter Notebook, after executing each code cell, the output results are displayed below the cell without the need for additional APIs. This allows developers to quickly understand the relationship between the code and its output. For example,Model development process,developers can easily execute code and visualize different graphs or plots to understand data trends. They can also make modifications to the algorithms or data to evaluate different models and assess their performance. Jupyter Notebook provides a convenient and interactive environment for experimenting, analyzing data, and use the principles of algorithms,iterating on models.
Understanding other people's code is crucial in the development process. Jupyter Notebook allows developers to execute code in individual cells, which helps in understanding the logic of the entire program, including the need for importing different modules. Additionally, Jupyter Notebook enables developers to add comments and explanations on different cells, making it easier for others to comprehend the code when reading through it. This feature enhances code readability and facilitates collaboration among developers.
Base on the Data science, data often represents the privacy of individuals and the intellectual property of companies. Jupyter Notebook is a web-based platform for executing different programs. Developers can develop and maintain code without the need to download resources on their local machines. This helps reduce the chances of data leakage or unauthorized access, as the data remains within the secure environment of the Jupyter Notebook server. By minimizing the need to transfer or store sensitive data locally, Jupyter Notebook contributes to data security and privacy.