System Requirements for Completing This Workshop Successfully

To ensure that you can complete this workshop successfully, it is essential to meet the following system requirements. Firstly, you will need a desktop or laptop with at least 4GB of RAM. Although we recommend having at least 4GB of RAM, even if you have less - such as 2 GB or 3 GB - you may still be able to finish the workshop successfully, albeit at a slightly slower pace. We suggest that you have hard disk space of at least 1 GB, which should be free on your hard drive. This is necessary for downloading the required datasets, pickle files, and code.

In terms of processor requirements, any processor will do - whether it's an AMD or Intel processor. The code we provide should work fairly easily on any processor, regardless of the operating system you are using. Whether you have Windows, Mac, or Linux as your operating system, it doesn't really matter because we write most of our code in Python, which can be executed with ease on any of these operating systems if your system is properly set up.

Preparing Your System for Success

If you set up your system properly and ensure that everything is configured correctly, executing the Python code will become a straightforward process. In the next video, we will explain how to set up Python and all the necessary packages that come along with it, which are essential for successfully completing this workshop. We have taken a few shortcuts in order to accommodate every student who is interested in completing this workshop, regardless of their experience or background.

One shortcut we've taken is working on sample data instead of full data. Sampling something basically means that we work on subsets of the original data. By doing so, we can ensure that every student can complete the workshop successfully, even if they have limited memory or a short amount of time to devote to it. If you were to work on the full data, it could take significantly longer - sometimes multiple hours of just computational time. To accommodate students who may not have 4 or 5 hours to spare, we've opted to operate on sample data whenever possible.

However, if you are interested in working with the full data, please be aware that you can easily extend the code we provide to do so. We want every student to feel confident in their ability to complete the workshop, regardless of whether they have limited resources or a more substantial amount of time available. By working on sample data, we hope to create an inclusive environment where everyone feels supported and able to succeed.

"WEBVTTKind: captionsLanguage: enthe system requirements to complete this workshop successfully are as follows you would need a desktop or laptop with at least 4gb of RAM this is the recommended setting even if you have let's say 2 GB or 3gb of RAM you might be able to finish this workshop successfully but might take a little longer than everybody else and we suggest you have hard disk space of at least 1 GB which is free so this it is 1 GB free on your hard disk so that you can download some datasets and some and some pickle files and and code right so any processor is ok whether you have an AMD processor or an Intel processor it doesn't really matter the code that we have should work fairly easily on any processor as far as operating systems are concerned whether you have Windows Mac or Linux it's it really doesn't matter because we write most of our code in Python and it's very very easy to execute Python code in any of these operating systems if you set up your system properly and in the next video we'll explain you how to set a Python and all the necessary packages that come that come along with it which are extremely important for successfully completing this workshop we take a couple of shortcuts if I have to say that to complete to ensure that we accommodate everyone we want every student who is interested to complete this workshop the way to do it so to accommodate every student on every working professionals interested to do this workshop what we've done is instead of working on the full data that we have off of Amazon images and product descriptions we sometimes sample the data instead of working on the full data what is sampling something basically means that we work on subsets of data right so did we we only work on subsets of data but I Marilee so that everybody could successfully complete this workshop even if they have a very small amount of memory or even if they have a little amount of time because if you work on full data if you work on your full data it might take longer it might take signal a longer amount of time for the good to complete it could take I mean we have seen cases where to work on the full day that could take you multiple hours of just computational time right to accommodate students of all students who may not have like 4 or 5 hours to run their code and wait for the code to give outputs sometimes we we operate on sample data will explain wherever we operate on sample data but any student who is interested to work on the full data should perfectly be able to do it but it's it's you can easily extend the code that we explained you to the full datathe system requirements to complete this workshop successfully are as follows you would need a desktop or laptop with at least 4gb of RAM this is the recommended setting even if you have let's say 2 GB or 3gb of RAM you might be able to finish this workshop successfully but might take a little longer than everybody else and we suggest you have hard disk space of at least 1 GB which is free so this it is 1 GB free on your hard disk so that you can download some datasets and some and some pickle files and and code right so any processor is ok whether you have an AMD processor or an Intel processor it doesn't really matter the code that we have should work fairly easily on any processor as far as operating systems are concerned whether you have Windows Mac or Linux it's it really doesn't matter because we write most of our code in Python and it's very very easy to execute Python code in any of these operating systems if you set up your system properly and in the next video we'll explain you how to set a Python and all the necessary packages that come that come along with it which are extremely important for successfully completing this workshop we take a couple of shortcuts if I have to say that to complete to ensure that we accommodate everyone we want every student who is interested to complete this workshop the way to do it so to accommodate every student on every working professionals interested to do this workshop what we've done is instead of working on the full data that we have off of Amazon images and product descriptions we sometimes sample the data instead of working on the full data what is sampling something basically means that we work on subsets of data right so did we we only work on subsets of data but I Marilee so that everybody could successfully complete this workshop even if they have a very small amount of memory or even if they have a little amount of time because if you work on full data if you work on your full data it might take longer it might take signal a longer amount of time for the good to complete it could take I mean we have seen cases where to work on the full day that could take you multiple hours of just computational time right to accommodate students of all students who may not have like 4 or 5 hours to run their code and wait for the code to give outputs sometimes we we operate on sample data will explain wherever we operate on sample data but any student who is interested to work on the full data should perfectly be able to do it but it's it's you can easily extend the code that we explained you to the full data\n"