prompter: How to learn Linux with a Ubuntu distribution? I have just installed Ubuntu 22.04.1 on my computer but I don't know almost anything about package managers and other possible utilities that I may install. I also want to use Ubuntu for Data Science, do you have suggestions about useful apps?

assistant: To learn Linux with Ubuntu distribution, you can start with the following resources:

1.  Official Ubuntu Documentation: [https://ubuntu.com/tutorials](https://ubuntu.com/tutorials)
    
2.  The Ubuntu Manual: [https://ubuntu-manual.org/](https://ubuntu-manual.org/)
    
3.  Linux Command Line Basics: [https://linuxjourney.com/lesson/basic-linux-commands](https://linuxjourney.com/lesson/basic-linux-commands)
    
4.  Ubuntu for Data Science: a. Anaconda: [https://docs.anaconda.com/anaconda/install/linux/](https://docs.anaconda.com/anaconda/install/linux/) b. Jupyter: [https://jupyter.org/install](https://jupyter.org/install) c. R Studio: [https://rstudio.com/products/rstudio/download/#download](https://rstudio.com/products/rstudio/download/#download) d. Apache Spark: [https://spark.apache.org/downloads.html](https://spark.apache.org/downloads.html)
    

To use package managers in Ubuntu, you can start with the following resources:

1.  APT (Advanced Package Tool): [https://help.ubuntu.com/lts/serverguide/apt.html](https://help.ubuntu.com/lts/serverguide/apt.html)
    
2.  Snap: [https://snapcraft.io/docs/installing-snap-on-ubuntu](https://snapcraft.io/docs/installing-snap-on-ubuntu)
    

You can install and use these utilities as per your needs and requirements.

assistant: Learning Linux with a Ubuntu distribution is a great way to get started with Linux. There are many resources available online to help you learn the basics of Linux and Ubuntu. To get started, you can check out the official Ubuntu documentation, which provides a comprehensive guide to using Ubuntu. Additionally, there are many tutorials and guides available online that can help you learn the basics of Linux and Ubuntu.

When it comes to using Ubuntu for Data Science, there are many useful applications available. Some of the most popular applications include Jupyter Notebook, RStudio, and Apache Spark. Additionally, there are many libraries and frameworks available for data science, such as TensorFlow, Scikit-Learn, and PyTorch. Finally, you can also use package managers such as apt-get and snap to install additional applications and libraries.

prompter: Tell me more about package managers and how to use them

prompter: Can you provide me a learning plan, that I can follow, so that I would be able to apply for positions as a Data Scientist? Considering that I'm still learning Linux.

prompter: Thank-you, this is helpful information on using Ubuntu package managers for Data Science. I would like to use Jupyter Notebook for Data Science, so you have any suggestions on where I can find some examples?

assistant: Sure!

Data Science is a complex subject with many fields within it, to learn more about it using Jupyter Notebooks I suggest looking into websites such as Stack Overflow, a community-driven Q&A resource, and Github where many developers openly share their code and knowledge.

Keep in mind that while Jupyter Notebooks are a great tool to play around with projects in a quick and repeatable manner, you should also consider seeking learning material that goes over the fundamentals of Data Science, Youtube can be a great resource for beginner developers and there are many courses offered online in websites like Udemy, etc.

assistant: Sure, here are some of the suggestion for Getting started with Jupyter Notebook: 

1. https://jupyter.org/install
This provides detailed info on how to install the jupyter notebook.

2. Some of the blog posts in the topic are given to below: 
https://realpython.com/jupyter-notebook-introduction

https://medium.com/codingthesmartway-com-blog/getting-started-with-jupyter-notebook-for-python-4e7082bd5d46

3. You can find many useful tutorials on YouTube, stack overflow e.t.c

4. And always practise make it perfect, test your skills and make some cool projects of your choice, you can start with the handwriting classification or iris flower classification.

assistant: The official Jupyter Notebook documentation at https://jupyter-notebook.readthedocs.io/ has a section called "Notebook Examples" where you can find many different examples. Additionally, there are countless examples on GitHub where Jupyter Notebooks are used for specific purposes. You might find those more helpful if you want to use the notebooks for a specific purpose.

assistant: There are many places where you could find example Jupyter Notebooks for data science. Github is an open source code repository that stores and makes available many kinds of code, including Jupyter notebooks, so that is a good place to start. Kaggle is a platform for data science and machine learning that provides free access to many open-source datasets and Jupyter notebooks. You can browse the Kernels section to find many example notebooks for data science tasks. NBViewer is a web service that allows you to view Jupyter notebooks directly in your browser, without needing to install Jupyter on your computer. You can search for data science notebooks on NBViewer to find many examples.

assistant: You are welcome. There are many websites where one can learn examples of Jupyter Notebook for Data Science. One good source of examples of data science notebook is Kaggle (http://kaggle.com), another good source is GitHub where you can search using topics (e.g https://github.com/topics/jupyter-notebook).

prompter: How do I install a package using apt-get?

assistant: The Ubuntu website contains many tutorials on various simple tasks using the Ubuntu operating system, and following along with some of them could teach you many of the basics. Beyond this, clicking around the interfaces will give you a much better idea of its basic capabilities, and most important buttons will display a label describing their function if you hover the cursor over them.

Package managers are tools built into Linux that allow you to install, uninstall, and update applications on your computer through the command line. Most popular utilities will have instructions on their website telling you how to install them with the package manager.

Python, a programming language popular for data science, comes preinstalled on Ubuntu Linux. With python, you can install many useful data science libraries, the most popular of these being the machine learning libraries PyTorch and TensorFlow.

prompter: What are some other popular utilities to install that are useful for Data Science? Should I download git or any cloud hosting service?