Demystifying the Python

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Now a day's there is a huge hype about Artificial Intelligence. Artificial Intelligence has started showing its potential in all the aspects of humanity ranging from healthcare to military, customer care to demand forecasting, and many more.

As Artificial Intelligence is occupying every dimension of humanity obviously there is a high demand for Artificial Intelligence professionals. To start or transform a career into AI the basic requirement is the programming language. Currently, there are too many languages available to develop AI solutions such as R, Java, Scala, C, C++, Python, etc.

Python is more suitable to develop the AI solution due to its versatility. Python supports you at each stage, ranging from solution development to implementation. There are a couple of myths about the python language such as:

  • Difficult learning curve
  • Less industry acceptance
  • Less Secure
  • Need to know everything
  • Python is only for data solutions

Python is capable enough to address all these myths. Python has a large package ecosystem of 120K+. We can use python for solution development as well as implementation in Artificial Intelligence.

Another one of the important aspects of why we should learn Python is the open-source language. So even if you switch your job then also it's useful for you. You can easily use it for your new job role. Also for companies no need to invest in software licensing. So it's a win-win situation for the employee as well as the employer. Even in this pandemic situation, there are too many job openings for python, at the time of writing this article Naukri.com had 20K+ openings in India. To make career future proof python is a long-term solution. Learning python is one time investment in terms of time, money & energy. Python provides you an immense amount of career flexibility. As python supports web, game, operating system, security, language, data science, artificial intelligence developments. You can easily switch in between them only by learning a couple of domain-specific packages. For example, if you want to start your career in data science then numpy, pandas, matplotlib, seaborn, etc. packages are more than enough. Once you learn how to use some package in python you are just one step away from the implementation of any other packages.

There are too many resources to learn python. Almost all the sources are full of knowledge but no one talks about an end to end solution development. The knowledge is available in bits and pieces. The pain area for new comer is that no one talks about how to connect all these dots to develop a complete solution. The solution is learning from experienced programmer working on real-world projects, building python-based AI solutions. He/she can guide you at each stage of learning & share his / her experiences. Having a mentor is always recommended. New comers can leverage the experiences of the mentor.

If you wish to start your journey in python, feel free to reach out.

Bhagwat Chate: +91 – 73 87 626740

Happy Learnings!!!

Padmanabhan S

SE2 @ Walmart | Python | Data | Spark | Airflow | GCP

4 年

Superb to read this article sir.As a final year student I have seen many times Python is under rated in placement drive , people says we can master data structures and algorithms only If we learnt c,c++,java.. It may be true sometime but excluding python from the game is not a good choice.

Dagdu Dorve

Human Resource Manager with 7+ years experiene HR & Admin

4 年

Nice article

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