Here is the content of the file converted to a well-structured article for a web page:

Once you install Anaconda, you open the terminal and press enter. Now we already have the terminal opened right in case you forgot how to open the terminal it is Windows button our CMD right and that's it your your on windows this opens your command prompt if you are on Linux all you have to do is you're just open terminal terminal is a very useful app now here provided a youtube link on how to use on how to install so on on basically how to use ipython notebooks but if I don't give you a quick overview so once you have installed one here at the command prompt the dollar here represents the command from you just say Jupiter's notebook okay Jupiter notebooks and ipython notebooks are one in the same they're often used interchangeably so the moment I type Jupiter space notebook let's wait for a second taking a second okay it opens so it opens on localhost right it opens on your web browser remember this is my web browser right here let's assume I want to start writing code so first let me create a new folder remember this as soon as you go here it says you can create a notebook or you can get a text file or a folder right let's create a folder right so once you try to create a folder let me go down here you get an untitled folder here you can go to this folder and you can say create our new Python 3 notebook now if you got your fighting 3 month over right so it clearly says look at the top right here which is this is a Python 3 notebook and this notebook is stored in the untitled folder right and the end of pipe notebook name itself is untitled on P I fight the notebook i py and B right here you can just test it by saying print hello okay and how do you run it you just go to this one cell it says it says a one cell so you just run it and it prints hello okay so this is called an I Python notebook or a Jupiter known we will use this extensively this is a great way that data scientists and machine learning engineers across the world document their work and actually this is what this is what a lot of people actually use to to try out different machine learning models to train models and to share them work throughout this course all of the code that we have we will share it with you using Jupiter notebooks okay it's very very easy it's it's extremely easy to use this Jupiter notebooks okay now since we know how to use Jupiter now let's go ahead and understand

all of these packages that we have installed they're like all these packages the packages called under SMAP bottle in an LTL numpy sci-fi there are all these packages that we will install and it's very very easy to install all of them if you are on mac and linux please open the terminal if you're on Windows go to the command prompt and we can quickly go to the command from using windows R since I have it already open here since I have it already open here all you have to type is if you go here you just copy paste each of these commands one mega if I said pick three installed tip three pick is a very popular item package manager okay which helps you install Python packages seamlessly right I just let's just see if we can install it I'll install one of them pick three install kindness right that's it okay oh I already have pandas installed so if it says requirement already satisfied you don't have to worry okay because it already is installed if it's not installed you just download the package value and install it right this is I recommend you install all of these packages one after the other okay we use all of these packages throughout this course if there is any new package that we have missed out here we ask you to install it in the corresponding chapter okay so we'll share this text file with you which explains how to install all the tools that we need step-by-step so don't worry just follow this guide follow this video guide and the text file that will solve most of the problems of installing Python and installing is the first step for you before you go ahead and try out some of our code somehow try out some of the algorithms and things like that okay sounds good all the very best I hope you have very few hiccups I've seen some students get caught up in yet spend almost a day sometimes with installation I hope that doesn't happen to you and yeah I hope this will be easy for you to install

"WEBVTTKind: captionsLanguage: enin this video I'll explain you how to install Python and a bunch of related software for us to work on to work on machine learning data science and a library so right now I'm operating on Windows 10 operating system because when we talk to a lot of our lot of our students most of them use a Windows laptop and hence I'm making this video and builders unlike other videos of mine which are typically done in the Mac so on Windows it's very very simple we will share this word document with you the simple text document where all the steps are clearly outlined but let's go and first install Python itself right this is the link if you're if you are using Windows this is the link that you have to work with just copy it and let's go to our any web browser like Chrome and if you just paste it right and enter it will download it will download the Python with version 3.6 right what I have done here is I've already downloaded it and put on my desktop see look at look at it like this so if you look at the file description here it says it's a Python for 64-bit because my operating system is a 64-bit operating system I'm using Python 3.6 with 64-bit right now let's start install this when a double click it it stays install now just use the simple installation it chooses the path for you it's important to check this checkbox because this check box here which is which I am working with right now say it's at Python 3.6 to path the path is a system path where your command prompt will search for given a given program or given executable so this will help you work with python seamlessly once you have checked this check box just install and we'll take a couple of minutes and it will install while that gets installed if you are using Ubuntu or any Ubuntu actually version 16.04 and 14.04 ship with python 3 so in in this through our older course we use Python 3 extensively there is an other very popular Python version called Python 2.7 we are not using it because Python 3 is the state of the art and we are using so if you have open to 16.04 or 14 5.4 you could just go to your command prompt and or your terminal as it's called the little nuts then just say python 3 - v if it outputs you 3.6 you're cool so if you are using Ubuntu operating system you don't have to make it you don't have a look you don't have a install Python itself on Mac what happens is on Mac or most of the modern OS X operating systems come pre-installed with Python 2.7 but not 3.6 right so for those of you who want to install it on Mac you can just go to you can just go to this hyperlink which is vital node orgy downloads mask Mac OSX and you can just download the 3.6 question and install it it's very very straightforward just to reiterate we use Python 3 extensively we do not use Python 2.7 of course there are some compatibility issues between Python 2.7 and Python 3 please use python version 3.6 that's what we are using instance ok so let's go and check out what's happening ok your setup is successful so you fight them is successful right so that that's good to them as soon as python is successful then just check that python was installed properly and the way you do it so the way you do it so if you want to check python installation on windows so if you want to check python installation on windows the way to do it is go to your terminal or your command prompt so if you are using if you are using a Windows it's called a command prompt if you are using a Linux or a Mac it's called a terminal so you can you can open your command prompt in in in Windows using ctrl + R ok so I'm typing it right now I can do ctrl R sorry it's actually windows are so it's hot controller it's the windows button it's been years I used Windows trust me it's been many many years so there is this window button Mekhi which will give us the run command in which if I type CMD as you can see here I'm just typing CMD which means command drop as soon as I open it it opens my command right now I can say Python and as soon as I type Python it says okay the version that I have right now is three point six point three right now I can now it goes into Python for me now I can exit python using just exit command alright so this tests that your python has been installed successfully okay so you can do windows are followed by CMD and enter right so that's how we can check your python installation on windows on on Mac or on Mac or Linux you just have to go to the terminal and like that them right and type and you just type Python right let me just put a dollar symbol here so that you know that it's a comment okay so since we have installed Python successfully now let's go and install a tool called anaconda anaconda is a package management system which is very very useful and we can install of course just for for Windows Mac and Linux you can just go here so let's let's start downloading and so if you just go ahead let me show you how to download install now anaconda is a very very useful tool so let me just go and copy paste this even make because I've used Mac extensively for the last decade or so slightly harder for me to find keys and windows that's okay so now I can choose what what I want to install this one so I can say installing on Windows will give me detailed information or I can just go to anaconda documentation oh so I have come down I found a documentation so this is the download link right the anaconda documentation is there I can just copy the download link here sorry all tab and if I paste this link right it's anaconda dot-com front slash download right here you have three operating systems you have Windows Mac and Linux since this is the Windows operating system I just click on Windows then it will ask me whether I want to three point six question or the two points Qin as I just told you we want to three point six worship and I want a 64-bit version right I want a 64-bit version so I will just click on the 64-bit installer which it will download right now once I download okay let me just cancel this because I've already downloaded this and put it on a desktop just to the interest of time right now this is my anaconda 3.5 the underscore 64 bit at the edge the underscore 64 then shows that this is for a 64-bit operating system making it I have now just double click it and it's very very simple installing anaconda is very simple you just agree to this okay you say that's okay if the default path here it's good to say add anaconda to my path environment variable so that when you run any of your commands on the command line or in the terminal on the command prompt it's very easy for it to find okay so I I click both of them it says okay that's okay so just click both of these two Advanced Options so that it will be easy for you so register anaconda is my default - 3.6 also add and recorder to make your own with variables once I just say install it will take a few minutes to install you'll have a little more patient because anaconda is a slightly big package ok it will take a while to install let's let's let's wait for it to its so it will take you a few minutes for this whole installation process to complete please be patient because anaconda installs a lot of other related packages for you okay so once it's done just click finish and you're good right of course it will open a couple of tabs and you don't have to worry about it okay so let's go back to a text file right so if you have any problems with installing there is a QuickStart guide in this link that you can that you can refer to okay so one thing an anaconda nurse is when you install an anaconda it installs a package but it installs a very interesting tool called ipython notebooks which I'm highlighting here right now let's see how to use ipython notebooks and how long how to create a simple notebook by the way all of this course throughout this throughout this course we use ipython notebooks extensively right because that's where that's our that's our GUI or a graphical user interface on which we like to code okay it's it's one of the most popular user interfaces for data science and machine learning okay so let's let's launch it how do you launch it after once you install anaconda you open the terminal and press enter now we already have the terminal opened right in case you forgot how to open the terminal it is Windows button our CMD right and that's it your your on windows this opens your command thumb if you are on Linux all you have to do is you're just open terminal terminal is a very useful app now here we provided a youtube link on how to use on how to install so on on basically how to use ipython notebooks but if I don't give you a quick overview so once you have installed one here at the command prompt the dollar here represents the command from you just say Jupiter's moon pool Jupiter notebook okay Jupiter notebooks and ipython notebooks are one in the same they're often used interchangeably so the moment I type Jupiter space notebook let's wait for a second taking a second okay it opens so it opens on localhost right it opens on your web browser remember this is my web browser right here let's assume I want to start writing code so first let me create a new folder remember this as soon as you go here it says you can create a notebook or you can get a text file or a folder right let's create a folder right so once you try to create a folder let me go down here you get an untitled folder here you can go to this folder and you can say create our new Python 3 movie now if you got your fighting 3 month over right so it clearly says look at the top right here which is this is a Python 3 notebook and this notebook is stored in the untitled folder right and the end of pipe notebook name itself is untitled on P I fight the notebook i py and B right here you can just test it by saying print hello okay and how do you run it you just go to this one cell it says it says a one cell so you just run it and it prints hello okay so this is called an I Python notebook or a Jupiter known we will use this extensively this is a great way that data scientists and machine learning engineers across the world document their work and actually this is what this is what a lot of people actually use to to try out different machine learning models to train models and to share them work throughout this course all of the code that we have we will share it with you using Jupiter notebooks okay it's very very easy it's it's extremely easy to use this Jupiter notebooks okay now since we know how to use Jupiter now let's go ahead and understand this is a simple typo here okay so a lot of their multiple packages that we have installed they're like all these packages the packages called under SMAP bottle in an LTL numpy scifi there are all these packages that we will install and it's very very easy to install all of them if you are on mac and linux please open the terminal if you're on Windows go to the command prompt and we can quickly go to the command from using windows R since I have it already open here since I have it already open here all you have to type is if you go here you just copy paste each of these commands one mega if I said pick three installed tip three pick is a very popular item package manager okay which helps you install Python packages seamlessly right I just let's just see if we can install it I'll install one of them pick three install kindness right that's it okay oh I already have pandas installed so if it says requirement already satisfied you don't have to worry okay because it already is installed if it's not installed you just download the package value and install it right this is I recommend you install all of these packages one after the other okay we use all of these packages throughout this course if there is any new package that we have missed out here we ask you to install it in the corresponding chapter okay so we'll share this text file with you which explains how to install all the tools that we need step-by-step so don't worry just follow this guide follow this video guide and the text file that will solve most of the problems of installing Python and installing is the first step for you before you go ahead and try out some of our code somehow try out some of the algorithms and things like that okay sounds good all the very best I hope you have very few hiccups I've seen some students get caught up in yet spend almost a day sometimes with installation I hope that doesn't happen to you and yeah I hope this will be easy for you to installin this video I'll explain you how to install Python and a bunch of related software for us to work on to work on machine learning data science and a library so right now I'm operating on Windows 10 operating system because when we talk to a lot of our lot of our students most of them use a Windows laptop and hence I'm making this video and builders unlike other videos of mine which are typically done in the Mac so on Windows it's very very simple we will share this word document with you the simple text document where all the steps are clearly outlined but let's go and first install Python itself right this is the link if you're if you are using Windows this is the link that you have to work with just copy it and let's go to our any web browser like Chrome and if you just paste it right and enter it will download it will download the Python with version 3.6 right what I have done here is I've already downloaded it and put on my desktop see look at look at it like this so if you look at the file description here it says it's a Python for 64-bit because my operating system is a 64-bit operating system I'm using Python 3.6 with 64-bit right now let's start install this when a double click it it stays install now just use the simple installation it chooses the path for you it's important to check this checkbox because this check box here which is which I am working with right now say it's at Python 3.6 to path the path is a system path where your command prompt will search for given a given program or given executable so this will help you work with python seamlessly once you have checked this check box just install and we'll take a couple of minutes and it will install while that gets installed if you are using Ubuntu or any Ubuntu actually version 16.04 and 14.04 ship with python 3 so in in this through our older course we use Python 3 extensively there is an other very popular Python version called Python 2.7 we are not using it because Python 3 is the state of the art and we are using so if you have open to 16.04 or 14 5.4 you could just go to your command prompt and or your terminal as it's called the little nuts then just say python 3 - v if it outputs you 3.6 you're cool so if you are using Ubuntu operating system you don't have to make it you don't have a look you don't have a install Python itself on Mac what happens is on Mac or most of the modern OS X operating systems come pre-installed with Python 2.7 but not 3.6 right so for those of you who want to install it on Mac you can just go to you can just go to this hyperlink which is vital node orgy downloads mask Mac OSX and you can just download the 3.6 question and install it it's very very straightforward just to reiterate we use Python 3 extensively we do not use Python 2.7 of course there are some compatibility issues between Python 2.7 and Python 3 please use python version 3.6 that's what we are using instance ok so let's go and check out what's happening ok your setup is successful so you fight them is successful right so that that's good to them as soon as python is successful then just check that python was installed properly and the way you do it so the way you do it so if you want to check python installation on windows so if you want to check python installation on windows the way to do it is go to your terminal or your command prompt so if you are using if you are using a Windows it's called a command prompt if you are using a Linux or a Mac it's called a terminal so you can you can open your command prompt in in in Windows using ctrl + R ok so I'm typing it right now I can do ctrl R sorry it's actually windows are so it's hot controller it's the windows button it's been years I used Windows trust me it's been many many years so there is this window button Mekhi which will give us the run command in which if I type CMD as you can see here I'm just typing CMD which means command drop as soon as I open it it opens my command right now I can say Python and as soon as I type Python it says okay the version that I have right now is three point six point three right now I can now it goes into Python for me now I can exit python using just exit command alright so this tests that your python has been installed successfully okay so you can do windows are followed by CMD and enter right so that's how we can check your python installation on windows on on Mac or on Mac or Linux you just have to go to the terminal and like that them right and type and you just type Python right let me just put a dollar symbol here so that you know that it's a comment okay so since we have installed Python successfully now let's go and install a tool called anaconda anaconda is a package management system which is very very useful and we can install of course just for for Windows Mac and Linux you can just go here so let's let's start downloading and so if you just go ahead let me show you how to download install now anaconda is a very very useful tool so let me just go and copy paste this even make because I've used Mac extensively for the last decade or so slightly harder for me to find keys and windows that's okay so now I can choose what what I want to install this one so I can say installing on Windows will give me detailed information or I can just go to anaconda documentation oh so I have come down I found a documentation so this is the download link right the anaconda documentation is there I can just copy the download link here sorry all tab and if I paste this link right it's anaconda dot-com front slash download right here you have three operating systems you have Windows Mac and Linux since this is the Windows operating system I just click on Windows then it will ask me whether I want to three point six question or the two points Qin as I just told you we want to three point six worship and I want a 64-bit version right I want a 64-bit version so I will just click on the 64-bit installer which it will download right now once I download okay let me just cancel this because I've already downloaded this and put it on a desktop just to the interest of time right now this is my anaconda 3.5 the underscore 64 bit at the edge the underscore 64 then shows that this is for a 64-bit operating system making it I have now just double click it and it's very very simple installing anaconda is very simple you just agree to this okay you say that's okay if the default path here it's good to say add anaconda to my path environment variable so that when you run any of your commands on the command line or in the terminal on the command prompt it's very easy for it to find okay so I I click both of them it says okay that's okay so just click both of these two Advanced Options so that it will be easy for you so register anaconda is my default - 3.6 also add and recorder to make your own with variables once I just say install it will take a few minutes to install you'll have a little more patient because anaconda is a slightly big package ok it will take a while to install let's let's let's wait for it to its so it will take you a few minutes for this whole installation process to complete please be patient because anaconda installs a lot of other related packages for you okay so once it's done just click finish and you're good right of course it will open a couple of tabs and you don't have to worry about it okay so let's go back to a text file right so if you have any problems with installing there is a QuickStart guide in this link that you can that you can refer to okay so one thing an anaconda nurse is when you install an anaconda it installs a package but it installs a very interesting tool called ipython notebooks which I'm highlighting here right now let's see how to use ipython notebooks and how long how to create a simple notebook by the way all of this course throughout this throughout this course we use ipython notebooks extensively right because that's where that's our that's our GUI or a graphical user interface on which we like to code okay it's it's one of the most popular user interfaces for data science and machine learning okay so let's let's launch it how do you launch it after once you install anaconda you open the terminal and press enter now we already have the terminal opened right in case you forgot how to open the terminal it is Windows button our CMD right and that's it your your on windows this opens your command thumb if you are on Linux all you have to do is you're just open terminal terminal is a very useful app now here we provided a youtube link on how to use on how to install so on on basically how to use ipython notebooks but if I don't give you a quick overview so once you have installed one here at the command prompt the dollar here represents the command from you just say Jupiter's moon pool Jupiter notebook okay Jupiter notebooks and ipython notebooks are one in the same they're often used interchangeably so the moment I type Jupiter space notebook let's wait for a second taking a second okay it opens so it opens on localhost right it opens on your web browser remember this is my web browser right here let's assume I want to start writing code so first let me create a new folder remember this as soon as you go here it says you can create a notebook or you can get a text file or a folder right let's create a folder right so once you try to create a folder let me go down here you get an untitled folder here you can go to this folder and you can say create our new Python 3 movie now if you got your fighting 3 month over right so it clearly says look at the top right here which is this is a Python 3 notebook and this notebook is stored in the untitled folder right and the end of pipe notebook name itself is untitled on P I fight the notebook i py and B right here you can just test it by saying print hello okay and how do you run it you just go to this one cell it says it says a one cell so you just run it and it prints hello okay so this is called an I Python notebook or a Jupiter known we will use this extensively this is a great way that data scientists and machine learning engineers across the world document their work and actually this is what this is what a lot of people actually use to to try out different machine learning models to train models and to share them work throughout this course all of the code that we have we will share it with you using Jupiter notebooks okay it's very very easy it's it's extremely easy to use this Jupiter notebooks okay now since we know how to use Jupiter now let's go ahead and understand this is a simple typo here okay so a lot of their multiple packages that we have installed they're like all these packages the packages called under SMAP bottle in an LTL numpy scifi there are all these packages that we will install and it's very very easy to install all of them if you are on mac and linux please open the terminal if you're on Windows go to the command prompt and we can quickly go to the command from using windows R since I have it already open here since I have it already open here all you have to type is if you go here you just copy paste each of these commands one mega if I said pick three installed tip three pick is a very popular item package manager okay which helps you install Python packages seamlessly right I just let's just see if we can install it I'll install one of them pick three install kindness right that's it okay oh I already have pandas installed so if it says requirement already satisfied you don't have to worry okay because it already is installed if it's not installed you just download the package value and install it right this is I recommend you install all of these packages one after the other okay we use all of these packages throughout this course if there is any new package that we have missed out here we ask you to install it in the corresponding chapter okay so we'll share this text file with you which explains how to install all the tools that we need step-by-step so don't worry just follow this guide follow this video guide and the text file that will solve most of the problems of installing Python and installing is the first step for you before you go ahead and try out some of our code somehow try out some of the algorithms and things like that okay sounds good all the very best I hope you have very few hiccups I've seen some students get caught up in yet spend almost a day sometimes with installation I hope that doesn't happen to you and yeah I hope this will be easy for you to install\n"