The application of Artificial Intelligence to optimize Big Data and provide Data Insights is becoming a necessity to all business processes, therefore programmers are in hot demand. Designing effective Machine Learning systems is not unique to tech companies, but rather universal to all sectors as it has many daily business applications. So why is Python the language every coder is racing to learn?
Python is a general-purpose universal language which is used not just in computer software design but in many real business applications such as providing solutions for decision making/recommendation, process automation, virtual personal assistant building, AI embedded products, E-Learning mechanical robots and many more in every sector. Python, like other coding languages helps us navigate through the mass of data we generate, optimize it, and ultimately inform.
A simple example of an algorithmic model is a recommender system , present in many online platforms such as Amazon and Netflix. The algorithm navigates through customer data of buying patterns to find appropriate products to recommend. The application of algorithms reduces time spent doing arduous tasks, in turn making us more efficient, but not replacing us as workers. Automation allows its workers to focus more on analysis, innovation and creative development. Computers still rely on humans to write them into the workplace, so being able to design these algorithms yourself is the best way to control automation. Coding can realistically improve most job roles in existence today.
Why Python?
Python is simple to read and write as it requires less arduous syntax, its instructions are more concise and direct. Released in 1991, mainly to back-end programming, it can now write a variety of applications, servers, desktop programs and apps. It is considered universal, not only due to its simplicity but due to its applicability. If you learn Python it can be translated to any industry because of its versatility.
The need for such roles increased after the explosion of cloud data and improved data management which allowed companies to store and optimize Big Data. English is the most important language in the world, but Python rules the digital world. Many coders learn Python as an additional language to more complex programming languages but beginners can learn it just as easily.
Where can I learn to code?
We have compiled a list of many free or cheap resources where you can learn Python. There are also more specific courses for specific Python applications. There are also many free Youtube series’ that take you through Python, step by step.
- Real beginner : Udemy
- Some previous experience in coding: Google edu , Udemy
- Python for Data Science and Machine Learning Bootcamp at only $19.99 from Udemy
Also read our series on learning Python for all audiences:
- Introduction: Machine Learning with Python for all audiences.
- Python for all (1): Installation of the Anaconda environment.
- Python for all (2): What are the Jupiter Notebook ?. We created our first notebook and practiced some easy commands.
- Python for all (3): What are bookstores ?. We prepare the environment.
- Python for all (4): We started the experiment properly. Data loading, exploratory analysis (dimensions of the dataset, statistics, visualization, etc.)
- Python for all (5) Final: Creation of the models and estimation of their accuracy
From where we are today, it’s harder to identify an industry that AI won’t disrupt than those that it will. Businesses will continue to take advantage of unique data assets and large databases, requiring coding tools to make sense of it. The impact of Machine Learning and Artificial intelligence is pervasive, and is common place in any industry that will advance digitally. The sky is the limit in terms of digital transformation.
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