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Day 1 – Introduction to Python

Day 1  - Introduction to Python

happy morning friends heres yours  Dr.Ajantha welcome to day one session.  todays session is all about getting started  with python programming as a result the session is dedicated to all those who are interested in  learning to program whether they are students employees or newbies python is now most widely  used programming language by tech giants such as google netflix and facebook. so if this sounds  interesting lets get started what is python you know Guido van Rossum created python a high level  object programming language its also known as the multi-purpose programming language because  its used in almost every domain imaginable us like web development software development  artificial intelligence machine learning engineers data analytics so this list could go on and on  but we will look at why python is so popular why python programming you guys might have  a question in mind that why python why not another programming language so let me explain according to our domain each programming  language has a specific purpose or use case for an example javascript is the most  popular language among web developers because it allows them to manage application using  different framework such as react, vue and angular which are used to create beautiful user interfaces they as well as have advantages and disadvantages so if we consider python it is general purpose  which means it is widely used in all domains the reason for this is it very simple to understand  and scalable which allows for rapid development you can see why aside from learning python  it doesnt require any programming knowledge which is why its popular among developers python  has a syntax that is similar to that of the english language and it allows programmer to write  programming with fewer lines of code because it is open source there are numerous libraries available  that make the job of developers easier resulting in increased productivity in the digital era  where information is available in large data sets they can easily focus on business logic and its  demanding skills how to get started with python so this is the place to go if you have already  decided to learn python but not unsure where to begin it can be difficult to get started should  you install python 2.7 or python 3.10 for example as a result we have compiled a lot of information  and helpful hints in this section to assist you in your journey we will go over the difference  between python 2 and python 3 in details.  python 2.0 was first released in 2000 and  pythons 2.7 the most recent major version was released in 2010. however that was not the end  of it ongoing assistant is available to this day the developers on the other hand realized  early on the significant changes were required to improve the language as a result  python 3.0 was released in december 2008  this version was primarily created to  address issues that existed in python 2. as a result any organization  that was using python 2.x has to made a lot of changes and put it into  a lot of effort to migrate to python 3.x  as a result many business have decided to stick  with version 2 and develop new libraries for it and python 2 supports wealth maintained however  even everything must come to an end at some point as a result the developers have announced that  python 2 will be phased out on january 1 2020 so this will version will no longer  receive updates or supports after this date and anyone using it should upgrade to python  3 as soon as possible python 3 is the clear future direction and it is the version that every  newcomer should choose however if your company has python 2 projects or you need to work with a  third-party library that is only compatible with python 2 you will need to understand  difference between the both the versions  what are the various python carrier paths see  python proficiency is one of the most in-demand skills in the tech and data science fields  here are fewer of the most carrier option for the development express so python developer  for anyone who knows python this is the most obvious option python programmer use it for a wide  range of tasks including website development and the data algorithm optimization as well as data  analysis and security and data protection so this programming language is also ideal for writing  testable reusable and extremely efficient code next comes the machine learning engineering  one of the most important skills for machine learning engineers is python knowledge continuous  data processing is required for machine learning and pythons excellent library ecosystem is  undoubtedly up to the task its no surprise that machine learning engineers prefers python  library for data access and transformation as well as the basic machine learning algorithm  like clustering regressions and classifications next the data scientists python is the  language of choice for statistical modeling it is the preferred programming language of  approximately 68 percentage of data scientist next data analyst so python is a one of the best  language for dealing with large amount of data cleaning aid and processing aid for analysis all  of which the data analyst does frequently and when compared to other more complex tools python makes  it possible for them to do all of this quickly data engineer data engineer can use pythons  rich libraries to access database and storage technology so data engineers also use it to create  an ETL framework as well as to interact with APIs and automate process overall python is a  powerful and engineers to solve problems quickly and effectively last but not least data architect  so data architects write advanced python scripts to analyze clean and transform large datasets  in order to prepare them for use in business intelligence analytics and financial modelling  however its all only one of the skills you will need if you want to succeed in the industry  however if you want to learn more about what it takes to start a data science or machine learning  and so on makes subscribe how long does it take to learn python fundamentals actually it is the one  which most most uh persons would ask its possible to learn the fundamental of python in two to six  months though this will vary depending on how much time you devote to learn you could complete the  specialization in two months if you can devote at least one heart per day to do it you can expect  to learn the some of the following or some of some variables and types objects and data structures  indexing slicing comparison operators or us like for loops while loop  functions list dictionaries tuples and classes objects application programming after you  have gained a basic understanding of python you can start applying your programming skills towards  your own specific goal so such as a job as a data analyst or application developer or ability to  automate tasks at work alright friends as being the first today today this is where the first  day session comes to close i hope you enjoyed this post and gain an understanding of what python  is all about in a nutshell which will provide you with small guidance as you begin your journey into  a programming world well talk about how to set up python on various platforms in our next session  please feel free to ask any questions you may have and i will respond as soon as possible you can  share this tutorial using the share button if you found it stay up to date with our latest  decision by subscribing to our channel thank you

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