Learn how you can do simple Spot trading by calling the functions in the python-okx library on a Jupyter Notebook.1. How can I run Python code snippets on a Jupyter Notebook? The Jupyter Notebook is an incredibly powerful and easy-to-use tool for Python development and data analysis. You can run a Jupyter Notebook server on Windows, Mac OS or Linux. This tutorial provides a pretty comprehensive guide on how to get a Jupyter Notebook up and running.2. How can I install the python-okx package?

You can do it in your device's general settings: Android: Settings > General Management > Date and time > Automatic date and time iOS: Settings > General > Date & Time > Set Automatically Sync your mobile phone and desktop times Clear OKX mobile app cache or desktop browser cache and cookies Try entering codes on different platforms: OKX website in desktop browser, OKX website in mobile browser, OKX desktop app, or OKX mobile app If this doesn't help, you'll need to change your phone number.

Request a code on different OKX platforms: desktop browser, desktop app, mobile browser, or mobile app. If you can't log in, switch to other alternatives, see the steps below to know how it's done.On the app Select Didn't receive anything?

Step 1: Download and open the EML file Download the EML file on your desktop. Log in to your email account.

Open a text editor (e.g., Notebook), then paste and save the JSON string as a file. The file name must end with "_inclusion_proof.json." Save the file in a new folder. The JSON string contains your account balance and a snapshot of the Merkle path.

After selecting Copy data, open the text editor (e.g. using notebook) then paste and save the JSON string as a file. The file must end with the name "_inclusion_proof.json." The JSON string contains your account balance and a snapshot of the Merkle path, then saves the file in a new folder.