11/3/2022 0 Comments Anaconda navigator tutorial![]() ![]()
Here are some other interesting videos that they are sharing in their platform: They also are relevant to the other tools and features of Anaconda. You may ask yourself, why can you not just search YouTube on your own for data science videos, of which you, of course, can, but it is interesting and allows you to have more trust in these videos since they are being promoted by a reputable data science platform that you may already be using. Either way, it can beneficial to either be exposed to this type of data science content or learn it yourself as a data scientist. As you can tell, this feature is more advanced than a beginners’ guide to Python. It specifically discusses the Adversarial Robustness Toolbox (ART), deep learning, and Kubeflow pipelines. For example, the first one shown, “ Building a Secure and Transparent ML Pipeline Using Open Source Technologies”, when clicked, will prompt a YouTube page to pop up. These videos are specific to certain use cases of data science. In the Learning section of the menu, you will see that there are around 21 videos to choose from. Aside from this tutorial, there is also specific Python Training from Anaconda itself, where they mention that you can “ take your data science to the next level with Anaconda Academy”. Virtually all of them will be something you can encounter in your career as a data scientist as well. Here are some of the main chapters that the tutorial will cover:Īs you can see, there are many of the main topics you would expect to see in the official guide to Python. The tutorial is encompassing all of the main topics of Python that are vital to know as you start to merge a programming language with both statistics and data science theory and practice. It is named ‘ Python Tutorial’, which is simply a link to the “ official Python beginners’ guide for first-time users”. ![]() This feature is located in the Learning tab, which is then followed by being under the Documentation tab. #ANACONDA NAVIGATOR TUTORIAL FREE#With that being said, if you are more senior level, then feel free to go on to the next sections where you will find out more about more complex use cases in data science. ![]() #ANACONDA NAVIGATOR TUTORIAL HOW TO#This first feature is for beginning data scientists who are just starting to learn how to code, or for data scientists who may want to freshen up and sharpen their Python skills. With that in mind, keep on reading if you would like to learn five things about the Anaconda Navigator platform. Some of these tools might be particularly useful for data scientists who are just beginning in their career, while some of these tools will be more beneficial for the more seasoned data scientists, as you will see below. I will be discussing these features that coincide with the more popular features like the Jupyter Notebook. However, they are still important and may be something that you have not looked into yet. ![]() #ANACONDA NAVIGATOR TUTORIAL CODE#The latter two features are ones that we may miss, because they are not directly related to writing your own immediate code and working on your machine learning algorithm in the main notebook application. As you navigate out of the home page or the home dashboard, you will see that there are the Environments, Learning, and Community sections. It is usually at these three applications where we tend to stop looking into this platform for other tools. Data scientists often use Anaconda Navigator, which houses popular and useful applications like JupyterLab, Jupyter Notebook, and RStudio. ![]()
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