Python Developer | How to become Python Developer | Python Tutorial | Edureka Rewind
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Python for Data70%
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Becomes a Python Developer by learning Python programming concepts and tools
Full Transcript
and today I'll be talking about how to become a python developer so guys I'll be discussing everything related to a python developer you know who is a python developer what are the various job roles available in the market who can become a python developer and then prerequisites and everything around you know if you're looking to you know make a career in Python so I hope there is no confusion and let's move forward and have a look at the agenda for today so this is what we'll be discussing today we'll Begin by understanding who is a python developer and why one should even consider python as a you know as a preferred programming language then the question is how should I start I mean how should I go about becoming a python developer then we'll focus on various job roles for a python developer and let me tell you that there are a lot of job roles out there right so if you think about python you have a lot of fields a lot of domains that you can go in right then a few projects for practice I mean you can just find it on the internet and then it's available uh and I believe the best way to learn anything is to start working on it and you should start working on the project so I'm gonna give you a small introduction to few of the projects that you can start with now the question is who is a python developer so let me tell you that first of all a python developer does not um it is a very uh subjective term I would say why because you know there are a lot of domains there are a lot of different types of job roles available in available in Python right so when I say python developer does not necessarily mean I'm talking about a software engineer does not necessarily mean I'm talking about a web developer or a mobile app developer right so a python developer is a very vast field I mean something which doesn't exist right because there are certain uh fields or subdomains in Python that you can you know come up with a job rule around that that's what I mean right so you know he can be a software developer a software engineer he can be developing web apps uh mobile apps he might be even into testing right because you can use Python with selenium then he can become a data analyst as well or he can be a data scientist machine learning engineer artificial intelligence engineer so there are different types of job roles available in the market next up we are going to focus on you know why become a python developer because everything exists for a reason right and um let's try to figure out why one should even consider python as a programming language when you have Java JavaScript and other different programming languages and the best answer given to this question is by stack Overflow so have a look at the graph guys right I don't have to explain anything here because the red line the red curve that you're seeing is of python right so from 2012 till 2018 you can see that it's it's an exponential uh growth right this is it's a straight line I'm sorry right uh so yeah I mean it's growing pretty fast and I would also tell you one thing guys it always makes sense to learn something when you know there's a demand there's no you cannot you know surf when there are no Tides right so uh just to explain you that now python comes with really really cool features so let me just talk about those features first of all it is very very easy to learn so all the people who are actually scared of coding uh don't you don't have to be scared of python I'm I'm being really honest because it is very very easy to write code in Python the syntax is very easy right then tons of libraries guys if you are talking about machine learning web development uh numeric computation scientific computation whatever comes to your mind any type of application python gives you a very good Library around that whether it's computer vision anything you can think of right so there are a lot of libraries available uh with python that you can use for multiple purposes right uh next is it is free and open source that I think a lot of you might already know right and the best part is it has a very active Community guys right high demand as I've just proved with the stock overflow graph apart from that uh since python is not only used for one particular domain or one particular purpose so if You Learn Python you can go into any field right it's like you know a typical Indian household uh you know parents who tell their kids to go ahead and study engineering and then he can decide what he wants to do well something similar but uh this makes more sense right so uh these are the various features guys right and a few companies few Giants who are using uh Python and let me tell you guys each and every company out there in the market nowadays use python right I've written down few big names so that you can actually relate Google NASA you know Firefox YouTube Netflix Facebook Dropbox Raspberry Pi IBM Walt Disney all of them are using Python and are very happy about the services and uh you know basically whatever the python whatever python comes with right next up we are going to talk about salary Trends this is uh something that you can see it on your screen but I would definitely tell you guys it is our average number and uh generally a data scientist is not gonna earn uh you know eight lakh per annum uh eight lakh rupees per annum it'll be definitely more than that it's just an average we have taken it from a pay scale it is definitely more than that I'm telling you that through my experience right and devops engineer also earns a lot more than what it is here apart from that there is also a start uh around the python developer salary in popular cities right uh so we have San Francisco which is paying somewhere around 137 800 389 US dollars to python developers which is pretty great if you ask me and uh I I I'm definitely sure it is way above than 150 000 in us as well right but for now let's focus on how should I start how how to you know go about becoming a python developer obviously everything starts from Basics right you have to understand the fundamentals to reach to certain level so first of all install python go ahead type on Google install python right you'll go to their official website you'll find a lot of uh a lot of things out there I can actually uh show you that let me just open it so if you click on install python you'll be directed to this website download python here just select the version select the OS that you're using and you are good to go right choosing an ID is uh uh you know it varies from person to person I prefer pycharm you can also download python let me just take you to one more link download pycharm you'll be directed to a jetbrains website and here we go so just go ahead uh click on the community version because the professional version is uh you know you have to pay some amount for that uh right so go ahead click on the community version download it and it's very cool guys because it gives you auto complete features and a lot of other benefits as well you don't have to manually go and install the libraries using CMD you can just go ahead use Python and do it right uh choosing an ID is done a simple hello world program right so I've already installed python I have python I'm just gonna show you how easy it is to write code in Python right uh so let me just quickly open my pycharm And all I'll do here is print hello world all right I just have to click and select The Interpreter as well let me just go to the settings uh I'll just go to The Interpreter just have to select The Interpreter and we are good to go now let's go ahead and try executing again it is again saying that you haven't selected an interpreter I just did that's weird let's see yep I can see there is an interpreter so just waiting two minutes to process uh let's just wait for that and we'll go back to our slides till then and uh we'll continue so I'll tell you how to execute a simple hello world program just give me like five minutes uh after that let's see what we have next so we're going to talk about a little bit about the basics so obviously as I've told you earlier as well to become a python developer to become a data scientist or you know to go to a level in your uh in your career you have to start everything from Basics right so we have talked we all we already talked about how you can install python how you can install python ID which is python right now let's talk about what are the basics that you actually need to learn now people who are from our programming background can easily understand this but uh people who are not uh let's just focus on them so variables and data types you need to understand how to declare variables how to uh what are the different types of variables that we can declare so there are numeric uh variables there can be uh you know list Tuple sets dictionaries all those data types you need to study there is a separate tutorial on all of these you can go ahead and check out that in the python playlist but for now let's focus here what I'm talking about then we have functions exceptions and input output operations so how your input output operations basically mean how you can open a file how you can delete a file how uh you can give our input to the uh programming language right if you want to input something the user wants to input some variable uh value right so input output operations plus how to open close files delete files add certain things append certain things in a file so all those things apart from that exception handling right what about one by zero some some term like that comes which has no answer right so how will you handle those exceptions that will be covered in exception handling there are functions which are nothing but useful code blocks right so that you don't have to again and again write the same thing right if you have for example if you want to calculate factorial 10 times in a program you don't have to write the logic 10 times you can write a function and execute it 10 times just an example guys then Loops control statements and conditional statements which are very important right I am pretty sure you guys know what are Loops right if you have a set of you know if there's a logic that you want to repeat again and again and you have a condition defined then you can go ahead and use Loops for that right so there are different types of loop there is there is a while loop right there's a for Loop uh and uh yeah so there are nested Loops as well where inside one Loop you can Define one more Loop uh condition statement if LF if statement so if a particular condition is true execute this if it is not then execute the next statement so those kind of things are called conditional statements uh data structures then you have oops Concepts what uh oops Concepts basically you know your polymorphism encapsulation classes objects how to declare them what are Global variables uh you know all those things uh it's it's basically a very vast field oops and it is very very important and python is one of those programming languages which have object oriented as well as procedural Concepts right and file handling I've just told you in the beginning itself how to open close delete add append all those operations with a file right how you can do that with the help of python right so now let me just go ahead open my pycharm and again and I'll execute that hello world program so I think Kobe can execute it now uh just a second guys it is just indexing right now or how about I go ahead and create one more python file let us name it as test and I'll type here print hello world and here we go yep so with one line of code I can do this try doing that in Java so guys that was a very simple hello world uh program that I've written there are separate tutorials I'm again and again telling you guys um all right so now let's talk about the job roles which I'm pretty sure everyone is waiting for it right and just throw in all your doubts guys I hope Shivam is helping you that uh next we have uh job rules as as I was mentioning so there are software engineers and developers right so these people might be writing apis for your web app right these people might be uh you know helping with mobile application these might be mobile application developer web application developers right so basically what our desktop GUI developers or game developers all those people right uh so what sort of skills you know Industries look for in in such a uh for such a profile right so code python uh Basics right which I've just mentioned at the beginning where I was talking about data types variables functions oops Concepts file handling conditional statements Loops control statements all those things right apart from that you need to have basic knowledge about the web Frameworks right object relational mappers restful apis you need to understand all these terms guys I cannot go into detail of all of these terms but uh uh just to give you a knowledge basically you need to understand how the web works you should you should know the basics of web front and back end and you should be aware about of libraries such as Django and flask which are very famous python libraries for web application development right database knowledge is a must because where is your data anywhere going after you know somebody does any sort of activity on a website it'll go to a database right so that database knowledge is very important for any developer out there in the market when I talk talk about script writing so scripting is a little bit different than programming right so scripting basically is um suppose I want to execute seven programs sequentially right so what I can do is I can write a script that can execute those seven programs in an order that I have defined right so it basically automates a lot of tasks right in this case I can write a script that will automatically take my data and you know create a schema and store in the database so there are a lot of other things that you can do with a particular script right so just wanted to tell you the difference between a scripting and programming and I hope you have I hope you have understood what you need to understand what you need to learn what are the skills required in order to become a developer whether you are a web application developer or any sort of developer right so let's move forward guys and let's see what is the job role we are going to focus on next uh so we're going to talk about uh a python web developer right we just spoke about a web developer uh like uh in the previous slide as well so here it's all about you know understanding the web HTML CSS Django flask MVC MBT architecture model view controller template so these are all things that you need to understand right um I mean these are few things which you will know once you start going and researching in that particular field right database knowledge as I've told you it is a must for any sort of developer right script writing is also very important because without scripting guys there's no automation right any automation tool that you use now also uses script right so just to clear the doubt uh you know scripting is also very very important right uh now let's see which job role we are going to focus on next all right uh so a data scientist sexiest job of the 21st century right now what you need to learn to become a data scientist what skills are Industries looking for in a data scientist so you definitely require code uh skills right core python skills which I've just discussed mathematics and statistics is the core or you can say the foundation of a person who wants to become data scientist that is very very important these these fundamental topics are very very important guys and people generally ignore them right so basics of programming core python skills mathematics and statistics apart from that you also require uh skills like you know data visualization uh data wrangling you might have to clean the data before processing it right then there's a skill called Eda data exploratory data analysis where you just figure out you just look at the data understand the data what it is talking about what should I predict what I can't predict which rows are useful for me which columns are useless for me can I subtract a couple of columns and come up with a new column that might be more useful for me so these are the things that you know uh uh you should have that it only comes with experience and that's how it works apart from that a very important skill is machine learning and artificial intelligence so you need to be very uh you know uh you need to understand all the machine learning algorithms you need to understand where I can use which sort of a machine learning algorithm and if you want you might come up with a different algorithm as well so how you can achieve that with python so with python there are a lot of libraries that you can work on so there's a library called pandas which is you know for creating data frames so you can import any sort of data with the help of pandas whether it's a tsv file CSV file Excel file doesn't matter you can import that data you can perform basic operations joining concatenation merging any sort of operation then you have numpy because python does not support any thing called arrays there's no there's nothing called arrays right so there are numpy arrays that you need to create with the help of numpy package right so any sort of Matrix operation you can perform the help of numpy scikit learner is a library used for machine learning so it has predefined methods for different algorithms whether it is KNN K means all those algorithms there are predefined functions or methods in this particular library that you can use and very cool feature about these libraries that it comes with sample data sets so you can practice those data sets you can you can practice those data sets the way you want I mean you you're getting data sets guys you don't have to download it what else you what else do you want right so let's move forward guys so uh now we're gonna talk about data analyst right so data analyst is someone who understands data and uh who understand a lot of things who understand the entire data life cycle uh who can take care of data wrangling who can take care of data exploratory analysis right all those things but they have only implemented simple linear regression models right there uh you know are not aware of those complex algorithms or or some neural networks or some complex machine learning algorithm which can be unsupervised for example K means so they build prediction models simple regression models you know sales forecasting and things like that uh they are very good with data manipulation and they have this skill which is very important and it is called as uh data driven problem solving approach so you need to understand you know what sort of approach should I take for this particular data and that only comes with experience right so uh that's how things work because um you know you cannot just apply one algorithm to all the data sets that are there in the market right you need to figure out what sort of a problem is it is it a clustering problem is it a you know all those things so basically I don't want to go into too much detail here but that's what a data analyst is right so let's see uh emerging job roles so Ai and ml engineer artificial intelligence are popularly also called as machine learning Engineers these people are not bothered about data pre-processing they get the good data they get the data where they have to predict something it might be a regression problem where they're predicting something it might be a clustering problem where they might be clustering different people uh right it might be uh a classification problem where they are classifying whether the given input is X or Y right so that's what the major job role of machine learning engineer or an AI engineer is so they require programming skills data science skills and machine learning right so that that is what basically an AIML engineer should have right apart from that neural networks is what people are talking about right now it is a buzzword in the industry and it takes machine Learning To The Next Step and it is called Deep learning I cannot go into detail here I hope you guys can understand but uh deep learning is very very interesting guys and there are a lot of libraries that python has for deep learning one is tensorflow right and it is a it is given to us by Google so I hope you guys trust Google right so you know it's it's a very good library and I find it pretty interesting uh I have separate tutorials on tensorflow as well right I have worked on tensorflow so you can go ahead and check out my videos fine uh next is python automation testing so what is python automation testing is basically you know you're using okay let's talk about selenium because I can see only selenium in the slide um so selenium you can write scripts in Python using selenium right uh you can perform functional testing uh basically you know testing login of any website testing any feature whether it's login whether it's search engine or or any sort of feature whether the link is clickable uh the button is working all sort of functional testing or you can say user acceptance testing can be done with the help of python in a very automated fashion next is a deep learning engineer so deep learning engineer focuses mainly on neural networks so he'll need to understand different types of neural networks whether it's recurrent neural network it can be a convolutional neural network it can be RBM Auto encoders uh you know fully connected networks or or single layer multi-layer perceptron so they should be they should have that thing where they can understand all these different types of networks and have good experience in working on applications such as video processing image processing computer vision um you know speech to text text to speech uh image recognition so how do you think that the Facebook Auto attack feature works right so it works with the help of deep learning only right right so that's how that's how it is now comes the roadmap guys okay so I have um you know I'll talk about each and each and every job role one by one so how you can Master Core python so what you need to understand you need to learn variables and data types file handling exception handling oops constip data structures iterators generators rights these type of things where basics of programming you need to understand right then well let's talk about master web Frameworks so Django or flask whatever you prefer right uh tkinter is basically for GUI based the web apps right uh then we have MBC MBT architecture that is basically a model view controller and template that you need to understand HTML CSS is a must for any web developer guys right it's it's there's no rocket science here I think people should be aware about it that web developers have to learn HTM and CSS okay uh just a second towards data science if you want to go statistics applied math data visualization analysis basically any sort of data manipulation you need to understand that on top of it you need to understand machine learning and uh you have you know python libraries to make your life easy machine learning and artificial intelligence uh you need to be very good with the machine learning algorithms understand uh you know libraries like scikit-learn tensorflow probability of Statistics you should be very good with apart from that neural networks and deep learning if you're looking to become a neural network uh deep learning engineer right so deep learning again there is a neural network architecture that you need to understand so machine learning and deep learning there's a very thin line here but deep learning is nothing but an advanced machine learning right so don't get confused here uh both are the subsets of artificial intelligence right artificial intelligence is an umbrella term which encompasses machine learning and deep learning together so this is though I don't want you to guy I don't want you guys to uh be confused about it I mean it's very easy to understand machine learning the next step after machine learning is deep learning which uses neural network so it's nothing but Advanced machine learning an opencv for computer vision web scraping with bs4 predictions models Etc is what you should be knowing so opencv is basically a library which is used for computer vision again I have a separate tutorial on opencv as well so you guys can check that out apart from that web scraping is nothing but scraping data or collecting data from different uh websites web pages that you can easily do right and uh prediction models is is I think you guys are already aware of now so guys uh there are a lot of certifications that edureka provides here so there's a Python Programming certification course python certification for data science right so this Python Programming certification course will talk about the basics of python and really cool applications of python like developing web Maps or you know uh developing a motion detector and things like that python certification training for data science will be covering the basics of python on top of that we'll be covering all the concepts related to data science you know machine learning and everything each and everything will be covered in detail with really cool projects in the end guys python Django training and certification again it's for web development now there are projects for practice that I was talking about let's just quickly take let me just quickly take you through that so there are beginner projects Hangman game with python search it you'll find a lot of a lot of things around that working with graphs in Python right so there are a lot of visualization libraries and uh you know interactive uh visual visuals that you can create with the help of python so they're libraries like matlord live C born bouquet and different libraries that you can use here then web scraping using python is basically scraping data from different websites so I would suggest you go ahead do one thing scrape the data of top 250 movies from IMDb website and for reference you can watch our video that is on web scraping using beautiful soup image detection using opencv right so that is also a very good use case and you can go ahead and try it out so basically it is called computer vision where you give um eyes to your computer right sounds fancy so there's a separate video on on opencv as well go ahead check out regression model using python is is again very easy at a beginner level project where you'll be uh there's a regression line that will help you predict something maybe sales may be anything right you can go ahead predict anything that you want so I hope this session was interesting and informative thank you guys and and have a great day
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This Edureka video on Python Developer is a part of the Python Tutorial Series which will help you understand How to become a Python developer. Python Developers are among the most in-demand professionals in the market and hence bag a hefty salary per annum. The pathway to becoming a Python Developer is further explained by the following topics of this Python Tutorial:
00:00:00 Introduction to Python Tutorial
00:01:45 Who Is A Python Developer
00:02:53 Why Become A Python Developer
00:06:45 How To Start a Career in Python
00:12:55 Python Developer Job Roles
00:29:05 Python Projects For Practice
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