Heard about this geeky term, ‘Python’ a lot on the internet? And you already know that it is not a type of snake but a programming language used by programmers. But you know only that and are interested in knowing the reasons this programming language has created such a hype. Then you are in the right place. Welcome to the new unfolding era of information technology and the world full of data and artificial intelligence. Don’t get intimidated by words like, ‘Machine Learning’, ‘Big Data’, ‘Deep Learning’ etc. Read on and get into the comfort zone with technology.
Well, to begin with, a common-sense approach, any language is hit and popular only if it is easy to learn, relatively less complex than other languages and is widely used. This applies to both, human as well as computer languages. ‘Python’ is also a widely used and less complex language. It’s learning curve is not that steep as used to be of other tough computer languages.Well, to begin with, a common-sense approach, any language is hit and popular only if it is easy to learn, relatively less complex than other languages and is widely used. This applies to both, human as well as computer languages. ‘Python’ is also a widely used and less complex language. It’s learning curve is not that steep as used to be of other tough computer languages.
But what makes ‘Python’ (language) attractive? Job opportunities and job opportunities. Yes, it was written twice. So you now understood, how many job opportunities. All fancy words like Artificial Intelligence, Machine Learning, Deep Learning, Big Data, Data Scientist etc are associated with Python. This is 2021 and we are looking to the world, which is full of technology that is bordering sci-fi domain. There, you see, Python fits in.
Google, Instagram, Snapchat, Spotify, Netflix, Uber YouTube etc. use Python language. Be it a job or just your creative self-expression. If you want to get linked to the world of technology, Python is your magic wand.
Future is Technology – So Jobs are Here!
Ever heard about ‘driver less cars’, a ‘robotic vacuum cleaner’ etc. These products which were a science fiction a decade ago are now coming to our daily lives. Python is the programming language that is making a machine think like human and do the job with minimal supervision. From 2021 onwards, the shift towards technology is unprecedented. Thus Python language is making to the headlines because it can provide job opportunities in this field. Many manual jobs and other repetitive jobs will be wiped out. But why to worry? New tech-oriented jobs will take its place. Modern complex world, need solutions and we need brains behind those solutions. Surf the net and you’ll find jobs in the d of programming. Python language is the base for many high paying jobs. Learning Python with a few more tricks will make you employable in the tech world. Python programming is your passport to the world. There are many other languages, but Python as its own advantages, which we’ll be knowing further. Just to be a little more convincing, this is 2021 and an average salary for a Python language programmer is Rupees 50,000+ per month.
Learning and Scope – Job Skills
Gone are the days of primitive programming. Cumbersome codes, thick books and complex syntaxes. Hey, wait! Python can be learnt not in years and months, but in weeks. Surely you need to put in 3-4 hours per day. But that’s very affordable when seeing it from the angle of garnering job skills and employability. You can get employable level skills within 2-3 months. If you put sufficient effort, then you can also become a top-notch programmer in Python. It will get you a decent job by which I mean at least twice the per capita income in your country.
Python is just a beginning. It will though make you employable and can get you a salary better than many college campus selections, but still, there is a long way to go. You need to upgrade yourself. It will again require a period of 2-3 months to get upgraded. You need to learn the skill to make the machine think like humans. This means, ‘Machine Language’. When you go further down this domain, you can be on the path to becoming a ‘Data Scientist’ when you learn all the relevant skills associated with it. It basically includes ‘Deep Learning’, ‘Data Analysis’, ‘Web Scrapping’, ‘Data Visualisation’ etc. You need to learn some concept of statistics and mathematics. Don’t worry, the calculation part is done by the computer. The amazing part is that you need only a total of six months to reach this level. Can be done with your regular college semester.
Python – A Gateway to Artificial Intelligence and Much More
Python is used in many applications and has numerous uses. To begin with Python is one of the essential building blocks in the following:
- Web Development
- Artificial Intelligence and Machine Learning
- Developing Games and Operating Systems
- Web Scrapping
- Scientific Applications
- Developing Desktop Graphical User Interface
- Building and Manipulating Complex Statistical Models
- Graphic Designing Applications
- Developing Languages
- Business and Enterprise Level Applications
With Python, there is an easier way to become a ‘Data Scientist’, which is the most sought after job profile in the market and going to remain on the charts for some considerable amount of time. Other computer languages in the competition are ‘Java’ and ‘R’. With the help of Python and right guidance, you can become a ‘Data Scientist’, in 4-5 months and further can advance into this field to become an expert.
Advantages of Python for Beginners
Python as a computer language provides multiple advantages. First and the most attractive is that it is easy to learn and implement. As I have hammered this point again and again, that it can be learnt within 1-2 months even by a person who is a history graduate or a commerce graduate. Second, advantage is that it is an open-source language, which means that it has a tons of community support and coding help available. Third, the most defining feature is that Python is a high-level language, which means that it is easier to execute, embed, debug and is user-friendly. To put all the advantages, here is a shortlist:
- The user-friendly language which is easy to learn.
- Can be learnt within a few weeks even if you are working part-time.
- Syntax is very simple and you can learn it quickly.
- Being a high-level language, it is easy to debug and you don’t need to learn complex source code.
- Ever heard of OOPS (Object Oriented Programming System. Yes, it belongs to the same category. Easy to deploy, reusable, portable, can be written for multiple operating systems too.
- Vast collection of libraries and functions, which makes it versatile.
From Artificial Intelligence to Machine Learning and Deep Learning – Python is Everywhere
Artificial Intelligence (AI)
In a very simple term, artificial intelligence is to think, without any human intervention. Enabling a machine to take decisions. AI these days is even embedded in your android phones. What is Apple’s SIRI and Microsoft’s Cortana……examples of AI, want another example, how about self-driving cars or an automated robotic vacuum cleaner. Making machine think like humans and mimic their behaviour is an exciting task. If you are a lover of sci-fi movies, then you exactly know what I am saying. AI currently is at an early stage. Do you know, the chat-bots are also an AI. In its core, AI is basically algorithms. Yes, the programming behind those shiny robots. AI is a larger set which includes, Machine Learning and Deep Learning. Python fits the bill perfectly. But here you need to learn much more than Python. But all is doable.
Machine Learning (ML)
Machine Learning is a part of AI. As we know, AI uses data to make decisions, ML provides statistical tools and models to sort, process, understand, analyse, represent etc. the data and help to make decisions. When we talk about statistics and making models, Python comes into play. In three ways machine learning can happen: Supervised ML, Unsupervised ML and Semi-Supervised ML (Reinforced ML). These are simple things. Having a data to make decisions is an example of supervised data. In unsupervised ML, there are not sorted and labelled data, cluster of similar data helps to sort data and make decisions. In reinforced ML, there are both labelled and unlabelled data is present, the computer from its experience (patterns). See, beyond the complex technological mumbo-jumbo, things are much simpler.
Deep Learning (DL)
Making a machine learn like the way humans do. A very techy term comes to play in this field. It is called Multi-neural Network Architecture. This is a sub-set of machine learning. Using mathematical techniques and Python programming and implementing other tools you make the machine mimic the human brain to learn. Isn’t it exciting? It is futuristic. Learning the skills of the information age is necessary to fit in the technological world of today. DL uses three techniques, namely: ANN (Artificial Neural Network), CNN (Combination Neural Network) and RNN (recurrent Neural Network). All of these are easy to learn and implement. Higher the skills, higher the challenges and achievement and much higher the salary.
Learning is an ongoing process and becomes very sweet when the money with it increases. For some, money cannot be the incentive. They love to create things and make those sci-fi things possible for everything. We all have that creative genius present in us. Some can be a painter, some programmer and some poets. Choose your bread and bake it well. Contribute to the world and world will contribute to you. In this article: ‘What is Python? : Why People Are Talking About It?‘, I have presented an avenue to earn your way to good living while creating something and staying updated with the ever-changing world of technology. Do share your thoughts on this and enlighten us all.