Tutorial 20- How To Import All Important Python Data Science Libraries Using Pyforest

Krish Naik · Intermediate ·📐 ML Fundamentals ·6y ago

Key Takeaways

Demonstrates how to import key Python data science libraries using Pyforest

Full Transcript

hello my name is Krishna come welcome to my youtube channel today in this particular video we'll be discussing about a very important library which is called a spy forest now by forest is pretty much useful libraries because recently I used this and I found out a lot of instead of this so in short it imports most of the Python data science libraries just fine installing this pipe all this time you see in your environment so it imports all the popular Python datasets libraries so that they are always there when you need them if you don't use a lightweight one be important so first of all I will just go and you know open an account of trauma I'll show you how you can be install this particular library so it just you need to right click install and you have to write as pine forest so once you do this it will take somewhere 30 seconds for you to install and once it is installed now currently have installed in my laptop so you can see that requirements already satisfied and this is the location where it is cotton star now what I do is that I will quickly go and copy and paste one you are from where will be reading some CSV file with the help of trade underscore see is me now you know that freedom is Casillas V is an inbuilt function of condoms right over here I just used a last name like PD I can also use PD one if I want okay so Elias is not a concern over here the main thing is about the inbuilt function as soon as I execute this and not each I mean imported any pandas library but here you can see that it has got executed successfully and this is all because of this pine forest language and if I go and write D F dot head and if I see this you will be able to see the data now how do we understand that how many libraries is got imported in and as I told that whenever we require it it will get imported on me and just by code that you are going to write a complete function that you using it will put that specific language so if I execute welcome are called as active imports now you can see over here partner has got imported very easily event even though I have not imported in the initial stages similarly what I can do is that I can also use math coordinate and we can also use not pi so let me just create some list like LS t1 LST to and I will try to plot this with the help of on macro so in order to use not property values PRT dot plot and against this allies can be anything okay you need not have concern with respect to an axe the main thing is that it will just go and see whether they built functional is getting mapped to that particular memory or not so here I'm going to plot list one and list two and I'm going to save PRT dot X label I'm going to stay x-axis and then I'm going to say TLT dot widely and then I'm also going to say y-axis after that I'm going to say PLT don't show now here you can see that once once is acute this particular line of code automatically the mat for live like I mean the visualization graph is getting created over here and if I in right active because I've used this also so now you have partners and my plot and if that is not important similarly you can also use arrays non-fire is so I can write n P dot array and here you can basically give a list of values like 1 2 3 4 5 and here automatically are able to get created now if I try to again use active on the screen puts you can see that now files also got an important similarly you can also go ahead with Seaborn so suppose I created a display which is that PT not read and thus casillas be and here I have a dataset called us most of these bends ok so once I execute it now see one has one inbuilt function for that discipline and if I give DF of let me just show you what our variables are so if I write df1 thought head you can see that I have various details like this kind of columns that are present I have taken this dataset from cattle you can also try with any dataset what I do is that I write DF one of Y and I'll try to create a disk block so once I exit this you will be able to see a wonderful graph right so this is your histogram and this plot of this be the priority density function and if you again write an octave and the score imports you'll be able to see the library has got important so you can see c-pawn is also getting it for tonight it is mapped to the nicely so pretty much amazing library which has recently used and as you know that whatever I get to know any with you describe it in your use case let's try to use this and again this is a leaving putting technique only when you are using the inbuilt function only that can either libraries will get automatically in stuff so I hope you like this particular video please do subscribe the charm if you're not already subscribed please share with all your friends over why this kind of help and see on the next video have a great day rate thank you

Original Description

Please join as a member in my channel to get additional benefits like materials in Data Science, live streaming for Members and many more https://www.youtube.com/channel/UCNU_lfiiWBdtULKOw6X0Dig/join Hello All, In this we will understand How To Import All Important Python Data Science Libraries Using Pyforest. Support me in Patreon: https://www.patreon.com/join/2340909? Python Tutorial: https://www.youtube.com/watch?v=7S865QCGL74&list=PLZoTAELRMXVPBTrWtJkn3wWQxZkmTXGwe Connect with me here: Twitter: https://twitter.com/Krishnaik06 Facebook: https://www.facebook.com/krishnaik06 instagram: https://www.instagram.com/krishnaik06 If you like music support my brother's channel https://www.youtube.com/channel/UCdupFqYIc6VMO-pXVlvmM4Q Please do support my channel Buy the Best book of Machine Learning, Deep Learning with python sklearn and tensorflow from below amazon url: https://www.amazon.in/Hands-Machine-Learning-Scikit-Learn-Tensor/dp/9352135210/ref=as_sl_pc_qf_sp_asin_til?tag=krishnaik06-21&linkCode=w00&linkId=a706a13cecffd115aef76f33a760e197&creativeASIN=9352135210 You can buy my book on Finance with Machine Learning and Deep Learning from the below url amazon url: https://www.amazon.in/Hands-Python-Finance-implementing-strategies/dp/1789346371/ref=as_sl_pc_qf_sp_asin_til?tag=krishnaik06-21&linkCode=w00&linkId=ac229c9a45954acc19c1b2fa2ca96e23&creativeASIN=1789346371 Subscribe my unboxing Channel https://www.youtube.com/channel/UCjWY5hREA6FFYrthD0rZNIw Below are the various playlist created on ML,Data Science and Deep Learning. Please subscribe and support the channel. Happy Learning! Deep Learning Playlist: https://www.youtube.com/watch?v=DKSZHN7jftI&list=PLZoTAELRMXVPGU70ZGsckrMdr0FteeRUi Data Science Projects playlist: https://www.youtube.com/watch?v=5Txi0nHIe0o&list=PLZoTAELRMXVNUcr7osiU7CCm8hcaqSzGw NLP playlist: https://www.youtube.com/watch?v=6ZVf1jnEKGI&list=PLZoTAELRMXVMdJ5sqbCK2LiM0HhQVWNzm Statistics Playlist: https://www.youtube.com/watc
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