Reasons why python programming language is getting popular in web application development, data science and scripting. Python has emerged as one of the most popular and recommended programming languages. According to the TIOBE Programming Community Index, it is one of the top 10 programming languages. Python's offers a comprehensive library of open source data analysis tools, web development frameworks and testing tools. It is also a choicest language when it comes to beginners in programming because of its extensive introductory resources.
Today, most companies are using Python for AI and Machine Learning. With predictive analytics and pattern recognition becoming more popular than ever, Python development services are a priority for high-scale enterprises and startups. Python developers are in high-demand -- mostly because of what can be achieved with the language. AI programming languages need to be powerful, scalable, and readable. Python code delivers on all three.
The world today is generating a voluminous amount of data than ever before. IDC predicts that the worldwide data will reach 175 zettabytes by 2025. Managing such amounts of data provides enterprises the ability to deliver enhanced business services. However, it requires inclusive knowledge and proficiency in big data analytics capabilities. Python programming language offers a large number of libraries to work on big data. Thanks to its easy readability and statistical analysis capacity, Python is the most widely used in data science, AI, machine learning, and deep learning.
Hold your head up high! The rise of artificial intelligence (AI) and machine learning (ML) are poised to bring a new era of civilization and not destroy them. Yet, there's fear that technology will displace the current workers or tasks, and that's partly true. As predicted by researches, the speed at which AI is replacing jobs is bound to skyrocket, impacting the jobs of several workers such as factory workers, accountants, radiologists, paralegal, and truckers. Shuffling and transformation of jobs around the workforce are being witnessed, thanks to the technological epoch.
Today's post is based on a project I recently did in work. I was really excited to implement it and to write it up as a blog post as it gave me a chance to do some data engineering and also do something that was quite valuable for my team. Not too long ago, I discovered that we had a relatively large amount of user log data relating to one of our data products stored on our systems. Remember that a blockchain is an immutable, sequential chain of records called Blocks. They can contain transactions, files or any data you like, really.