It’s hard to avoid artificial intelligence (AI). Even for Python developers, AI has quietly ingrained itself into daily life and has become indispensable.
Have you ever used Amazon Alexa or Siri on your iPhone at home? These technologies are based on artificial intelligence (AI) technology known as natural language processing. Tesla, which offers autopilot functions on its vehicles, is a name you should be familiar with if you adore electric automobiles. These autopilot functions, which are based on computer vision, another branch of artificial intelligence, can recognize objects and people.
Have you ever made an internet purchase? To prevent suspicious sales (such as those involving stolen cards or other information), nearly all e-commerce and payment networks incorporate fraud detection capabilities. Machine learning, a subfield of AI, is the foundation for this fraud detection. Speaking of online shopping, did you realise that major merchants like Amazon utilise robotics to control their inventory? They can enhance stock management and delivery thanks to autonomous and semi-autonomous robots, and guess what? They apply AI! To learn more about Python, check out the online Python course.
Python developers’ usage of AI: A tool or a threat?
Is it worthwhile to become a Python developer, you may be wondering. Will all be replaced by AI? I will give examples of why Python coders are not in danger from artificial intelligence.
1.Creativity
Being imaginative is a need for Python developers! You will run with challenging issues during your work for which there is no obvious solution. You can think creatively and offer original answers to challenging situations as a human. Your capacity for creative thought enables you to develop and come up with original solutions to problems, which AI hasn’t yet been able to match.
2.Solving Complex Problems
AI excels at jobs with a narrow scope, such as developing a particular functionality. However, complicated problems with several variables, exceptions, and edge situations are frequently encountered by Python developers, which is something AI has not yet been able to handle.
3.Building of Complex Applications
AI is capable of producing small bits of code, scripts, and functions, but it cannot build intricate applications.
4.Teamwork
Being a Python developer involves more than just writing code. You will collaborate with various professionals throughout your career, including front-end developers, product owners, database experts, and Quality Assurance (QA) specialists. You might also need to communicate with the marketing or sales departments. Soft qualities like leadership, empathy, and communication are needed for this. AI isn’t prepared for it yet!
5.Understanding Confusing Information
When you are given a new task, the instructions may be difficult, vague, or perplexing. This occurs as a result of knowledge that another human (your employer, the product owner, or whoever) provided but which AI will find hard to comprehend. It is possible for you to say, even as a human developer, “Hey, I didn’t comprehend the task. Do you have a few minutes to spare for a meeting?”
6.Understanding Business Context
Once more, being a Python developer involves more than just coding! Before anything else, you must comprehend the business context and requirements. Knowing the intended user and the intended application of a new feature or product is essential before developing it.
You will be in charge of development tasks throughout your career that demand comprehension of the larger company context. In order to comprehend the subtleties of the situation at hand and develop suitable solutions, you will need to communicate with stakeholders. AI (as of now) is unable to comprehend the complexities of human intents and commercial objectives.
7.Emotion and Empathy
Empathy and emotional intelligence are essential for Python developers. They are necessary for both teamwork and development, as it is frequently necessary to comprehend user behaviours, cultural settings, and human emotions when building user-friendly software. A human developer may make mistakes, but AI is more likely to use inappropriate words or produce visually offensive content.
8.Ethical and Moral Decisions
Development frequently has moral ramifications. For instance, developers must weigh efficiency and ethical considerations while creating algorithms that affect people.
You can occasionally disagree with the company you are working for currently, and say things like, “I can implement this new feature, but it’s so intrusive for the final user that we should look for another solution.” AI is morally incapable of making these choices.
9.AI Maintenance and Training
Particularly complex AI models require ongoing training, fine-tuning, and maintenance. These systems are designed, maintained, and made sure to function properly by Python developers. Currently, AI cannot train itself.
10.AI Can Be Wrong!
An AI-based system will provide the user with the solution it determines to be the best for a particular issue. However, it does not imply that it is the correct response. AI is not a genius who will reveal the universe’s mysteries to humanity. AI is based on and developed on human knowledge; like any human, it occasionally makes mistakes! Therefore, it makes no difference whether the kind of AI-generated code is used; a human developer must still check and validate it.
Conclusion
 Although AI is an effective tool for Python coders, it cannot replace us. To ensure the proper development and delivery of a digital product, human Python developers are necessary. So why are you still waiting? Start learning Python and join the Python community today! Check out the Python training online to begin.
