#JUPYTER NOTEBOOK TUTORIAL STANDFORD HOW TO#
#JUPYTER NOTEBOOK TUTORIAL STANDFORD INSTALL#
#JUPYTER NOTEBOOK TUTORIAL STANDFORD MANUAL#
#JUPYTER NOTEBOOK TUTORIAL STANDFORD CODE#

On the Protection tab, uncheck the Locked checkbox: ThatвЂ™s usually not what you want: to leave some cells editable for the user to provide the inputs, unprotect the sheet again (the Protect Sheet button from before has changed its label to Unprotect Sheet), then right-click a cell and select Format Cells. Once a sheet is protected, by default, none of the cells are editable anymore and youвЂ™ll get the following error whenever you try to edit one: When you click that button, thereвЂ™s a pop-up menu where you can change a few options and decide whether users need a password to unprotect the sheet or not. However, this will only come into effect once you go to the ribbon tab Home > Review and click on the Protect Sheet button: Table of ContentsД«y default, cells in Excel are locked.

#JUPYTER NOTEBOOK TUTORIAL STANDFORD HOW TO#

In this tutorial, IвЂ™ll first look into how to protect cells in Excel before IвЂ™ll explain how the same works in a Jupyter notebook.

#JUPYTER NOTEBOOK TUTORIAL STANDFORD MANUAL#

Turns out that Jupyter notebooks have the same functionality, but unfortunately, this functionality is a bit hidden and requires a few manual steps. Now, in Excel, you should be afraid of the same (i.e., users changing formulas), but Excel has an option to lock cells to prevent exactly this: locked cells are an effective way to prevent end-users from changing a value or formula by accident.

#JUPYTER NOTEBOOK TUTORIAL STANDFORD CODE#

Recently, this happened to me when a Jupyter notebook user told me that they werenвЂ™t able to use their Jupyter notebooks with non-Python savvy users since the risk of them inadvertently changing the code cells was too high.

You would like to submit computing jobs directly to the queue through Jupyter Notebook.Excel and Jupyter notebooks have a big overlap regarding their use case (analyzing data and showing some fancy charts/numbers), which means that youвЂ™ll find yourself occasionally looking for some вЂњExcel functionalityвЂќ in Jupyter notebooks.

You computer doesnвЂ™t have enough memory to load the dataset, or is unable to load it without being extremely slow or crashing.

Your computer doesnвЂ™t have a large enough disk space to copy over the dataset.

Running on your own computer may be unrealistic, because For example, if you have a very big dataset (millions of entries) on the remote cluster. Pro: Some operations need to be done in this way. Use port forwarding to run a Jupyter Notebook from remote computer cluster.Дetailed instructions can be found from many online resources, such as this website.

#JUPYTER NOTEBOOK TUTORIAL STANDFORD INSTALL#

Special Tips: To be able to switch between different conda environments in your Jupyter Notebook, you need to install nb_conda, nb_conda_kernels in your conda environment, as described here. Pro: You can customize the conda environment freely to meet your development needs. Please follow the guidance of this website. Set up your own computer to run Jupyter Notebook. May not be convenient enough for daily code development. Good for beginners.Д¬on: Need to upload your files. Pro: No need to set up your own computer environment. There are many good examples of using Jupyter Notebooks for computational chemistry on that website. Use readily available online service.ДЇor example, from the XSEDE computational chemistry website. Here we will demonstrate a few different ways to run Jupyter Notebook. Integrate different usages of Python together in one placeДЇor the first two options, please refer to this tutorial. Simple tasks like: using python as a calculator checking whether some packages can be loaded Python can also be used for big data analysis, machine learning, and generating publication-quality figures.Д¬ommon ways to run python include: Run python in вЂ¦Д«uilding a package and run on remote computer clusters In Tutorial 1, we have demonstrated how we can use python to generate input files and analyze output files. Python is useful for computational chemistry in multiple aspects. Learn to run Jupyter Notebook from remote cluster through port forwarding.Set up your personal computer ready to run Jupyter Notebook.Get familiar with different ways to run python.

Jupyter notebook tutorial standford