The exponential growth in the popularity of Python in the last few years has been phenomenal. If you take the trend in StackOverflow, Python has crossed all other programming languages and is surging ahead at a rapid pace.
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Python, due to its English like syntax and availability on multiple operating systems, is being used as the primary language to teach programming to kids. The percentage of people for whom Python is the first programming language is growing exponentially. Across the schools, colleges the adoption of Python in the curriculum has been mind-boggling in the last few years. Python teacher is a sure shot way to job in India in Tier-B, Tier-C towns in India.
Python is extensively used in developing Cross-Platform GUI Applications. Tools like Qt, Toga, etc. help in building Desktop applications with a Graphical User Interface across various Operating Systems like Windows, Mac, Unix seamlessly. The traditional App Development Jobs in this domain are still attractive for a job seeker.
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The exponential growth of Web Applications has led to some very interesting problems on cloud hosting. Maintenance of servers, Replication, and Scaling the Cloud Infra has led to tremendous job growth. Several tools which help in automation of server maintenance have evolved. Tools like Ansible, which are entirely developed in Python are Industry Leaders in DevOps. Basic understanding of Python along with a primer on container management etc. can lead to a good paying job in DevOps for a job seeker.
You might be surprised at my inclusion of Web Scraping as a primary area of Python Application and my claims on Web scraping as a job driver. If you really think about it, Google is fundamentally a web scraping company. It scrapes the internet and tries to provide results on search. As the internet is exponentially exploding, scraping the net and deriving meaning out of the information is becoming an exceedingly daunting task. There are several companies which are working in the area of scraping websites, social media networks, etc. Open Source Tools like BeautifulSoup who ease the job of web scraping are written in Python. So, a decent knowledge of Python and fundamentals concepts of Web Pages like DOM, HTML, etc. might end you up with a very interesting and fun-filled job.
As the digital information explosion is underway, it is becoming humanly impossible to filter through all the information available. We needed tools which can process huge piles of text and extract summary out of it. Tools like NLTK (Natural Language Tool Kit) are Industry standard in this area. NLTK is a complete Python library. So, once you have a decent knowledge of Python and get into the basics of NLP, you have a fat paycheck awaiting you. Probably, this is one area where there is a massive explosion in the recent past in terms of job growth rate.
Need I say more on this. Probably, Machine Learning occupies the top of the ladder in terms of job opportunities. Google, Amazon, Microsoft, each of the tech giants, have come up with their own versions of machine learning tools and large data processors. Most of the Machine Learning tools are developed fundamentally in Python and then adopted for other languages. Python understanding is mandatory before you venture into any job in this area. If you have a good understanding of statistics along with Python, several opportunities exist in this domain in the job market.
Over the next few weeks, I would take each of the above areas and drill it down further to form a career guide for that domain. The guide will include What to Learn, What are the best resources, Skills required, and Companies that work in that area. If you have any further queries or inputs on the composition of the guide, please revert back through comments.