DataCamp provides DataLab, a hosted Jupyter Notebook that we will use for the majority of this tutorial. DataLab is an excellent option for learners and professionals who do not want to set up a local environment. Except where noted, the functionality described in this tutorial will work on...
(jnotebook) jupyter@ubuntu-jan2019:~$ jupyter notebook --generage-config The command above will create a jupyter_notebook_config.py file. In this tutorial, the file is saved as /home/jupyter/.jupyter/jupyter_notebook_config.py The ability to create a password during the first login might...
If you installed Jupyter Notebook on a remote server, you will need to connect to the Jupyter Notebook web interface using SSH tunneling. Jupyter Notebook runs its browser interface on a specific port on your remote server (such as:8888,:8889etc.), which is not exposed to the ...
If you have created your Python environment with Anaconda, you can useconda listto list all packages installed in your (virtual) environment. Optionally, you can add a regular expression using the syntaxconda list regexto list only packages matching a certain pattern. How to list all packages i...
IDE is a software that provides useful features like hinting code, highlighting and checking syntax, file explorers, etc. to programmers for application development. Some of the popular free Python IDEs are PyCharm, Spyder, Rodeo, and Jupyter Notebook. Jupyter Notebook is one of the best among...
Let’s explore these factors in more detail. The main features of Python Let’s have a close look at some of the Python features that make it such a versatile and widely-used programming language: Readability. Python is known for its clear and readable syntax, which resembles English to a...
The Jupyter Notebook for this tutorial can be found on GitHub. Step 1: Install the required libraries We will require the following libraries for this tutorial: datasets: Python library to get access to datasets available on Hugging Face Hub ragas: Python library for the RAGAS framework langchai...
There are several ways to detect outliers depending on how our data look and behave. In the following sections, we will look at the most commonly used ones with explanations and examples in Jupyter Notebook using Python. Graphical representation ...
Check TensorFlow Version in Jupyter Notebook The Jupyter Notebook runs commands and Python code directly in the environment. There are two ways to check the TensorFlow version in Jupyter Notebooks. Method 1: Using Import Import the TensorFlow library and print the version by running the following ...
In addition, you can find some of the snippets in a Jupyter notebook format on GitHub, If you have a problem of your own, feel free to ask. Someone else probably has the same problem. Enjoy How to Python! ← Previous Post: [#6] [#8]: Next Post → ...