Documentation and Communication: Jupyter Notebook is an excellent tool for presenting research results, describing methodology, and documenting code.The results are more reproducible because coworkers or peers may examine, execute, and amend the code and documentation within the notebook. Collaboration and Reproducibility: Jupyter Notebook makes collaboration more accessible by allowing users to share notebooks with others.Notebooks enable users to display results, ideas, and techniques in a unified and interactive format. This makes it perfect for data exploration, analysis, and visualization. Data Exploration and Visualization: Users may integrate code and visualizations in a single document with Jupyter Notebook.Users may write code, run it, inspect the output, make changes, and re-run it, allowing quick prototyping and experimentation. Interactive Computing: Jupyter Notebook encourages interactive computing by executing code in cells.Jupyter Notebook has grown in popularity owing to its multiple advantages: Web development, programming languages, Software testing & others When installation is complete, let's run the Jupyter Notebook web application.Start Your Free Software Development Course Open command prompt and type the below code: >pip install jupyter Fig 7: Jupyter Notebook installation started Let's move to the next step, which is to install the Jupyter notebook software. If python is installed correctly then you should able to see the python version number and some key help, as shown below in Fig 6. Let's test if python installed successfully, open command prompt and type "python". Installation will complete in a minute or two. We have created 'Python' folder in C drive in earlier step (Fig 2) Fig 5: choose the location I followed the customization method to avoid setting up environment variable.Īs below figure 5 shown, the Customize installation location, where make sure you put the installation location folder C:\Python\Python39. Make sure to choose 'Customize Installation' and check mark 'Add Python 3.9 to PATH' as shown in figure 4. Now double click the executable file to initiate the installation process. Now next step is to create a 'Python' folder under the C: drive, we will use this folder as installation location at later step.įind out the downloaded executable file, I have saved the executable file under Downloads folder (shown in below figure 3). ![]() You can download the executable file and save in any location at your computer. Please choose the version as per your computer Operating system. ![]() I have chosen 'Windows x86-64 executable installer' for my Windows 64 bit OS. Please follow this URL and choose right version to install. Python is a prerequisite for running a Jupyter notebook, so we need to install python first. This post will describe the step by step installation process of Jupyter notebook. The Jupyter Notebook can be used for data cleaning and transformation, data visualization, machine learning, statistical modeling and much more. Well, that's how I found a Jupyter notebook can be useful to compare two. At the beginning I was manually comparing them then I thought there must be a tool to do that. ![]() parquet were created from two different sources, the outcome should be completely alike, schema wise. This is mainly a schema comparison, not a data comparison. One of the projects I was working required a comparison of two parquet files. Whether you work as a Data Engineer or a Data Scientist, a Jupyter Notebook is a helpful tool.
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