Making a job change is a brave and daring undertaking that, surprisingly, many people throughout the world take on. According to a recent Indeed.com poll, 49 percent of employees made a complete career shift. This is true for the technology business as well, since individuals are actively seeking to enter this profession. Statistics like these, as well as news such as Google and other large corporations, state that they will not prioritize degrees when hiring new staff, making it an excellent moment to be adventurous.
Do you fantasize about a different career?
Whether you are looking for employment that fulfills your soul, a job that pays more, a more difficult opportunity, or all of the above, there is one skill that may help you with whatever reason you are considering a career change: learning to code and beginning your adventure with Python.
What is Python
Python is a general-purpose programming language that was developed about 30 years ago. It is now one of the most popular coding languages because of what it enables in the fields of data science, machine learning, and artificial intelligence.
Why did you decide to study Python coding?
Because it is a general-purpose programming language, it may be used for a wide range of programming and software development tasks. Python allows you to accomplish everything, from the web and mobile app development to heavy lifting operations like Big Data analysis.
Furthermore, here are three essential aspects of this coding language that make it an appealing choice for beginning your coding adventure.
Simplicity – easy to learn
Python's prominence among other coding languages is due in part to the fact that it is a very beginner-friendly language. Python's syntax is remarkably close to English, which makes it simple for anybody to learn and use. For example, consider the following code, which was written in the computer language C to display the words "Hello World":
#include <stdio.h>
int main()
{
printf(“Hello World”);
return 0;
}
And here's how you can accomplish the same thing in Python:
print(“Hello World”)
Don't be fooled by the simple syntax; it can do much more than just display lines. Python's processing power is what makes it a popular programming language among engineers worldwide for developing very sophisticated artificial intelligence algorithms.
To top it all off, experts say that the basics of coding in Python can be learned in 6 to 8 weeks on average.
Are you persuaded yet?All you can build is versatility.
Python, as a general-purpose language, may be used for various sorts of programming and software development than web development, unlike HTML, CSS, and JavaScript, which are specialized for specific purposes.
Python's various uses provide a developer with a wide range of possibilities. Whether you want to design little software programs or work as a full-stack web developer, Python abilities make anything possible.
Availability – a helpful user community
A large support community not only implies that you can obtain help from others if you are stuck on a problem, but it also means that there is a lot of written code available. This implies that you won't have to create much code because Python includes a fantastic standard library.
Because so many more businesses and individuals are adopting Python, the number of resources accessible assists developers in completing complex jobs with ease. The possibilities are infinite when you create using NumPy for data science, EarthPy for earth sciences, Astropy for astronomy, PyGame for gaming development, Tensorflow for machine learning, and many more.
What a potential Python future looks like
Acquiring Python entails learning the ultimate digital talent. It will open doors to future employment and prepare you for ultimate digital success. Here are three major sectors that you may start right away if you know how to code in Python.
Science of data
Python is being used to filter through massive data sets all around the world due to its powerful computing capabilities. Python is an obvious language of choice for the subject due to its flexibility and readability. And, because a lot of prior code built for data analysis has already matured, adopting Python for jobs like filtering through Big Data is an even better alternative.
Telenor and Jazz, for example, are continuously searching for data scientists to sift through their sea of data and extract insights. As a result, if you know how to write in Python, this is a field you should certainly consider.
AI (artificial intelligence)
From false news identification to planet searching to credit card fraud detection, if any of these concepts pique your interest and you have been intending to delve into an exciting project like this, there has never been a better moment to master the art of coding in Python.
Aside from the ability to work on fascinating projects, this is a domain that allows one to touch all of the world's industries. Machine Learning is changing industries ranging from healthcare to finance to education.
So, if you want to work globally, mastering Python for Machine Learning will open doors for you.
According to a Hacker Rank study, when it came to Fintech, recruitment groups at firms searching for tech talent prioritized hiring hackers who understood how to write in Python.
However, Python's appeal is not limited to Fintech but extends throughout the whole Finance industry. It is the language with the fastest growth rate in this domain.
With figures like those, studying Python appears to be the ultimate digital talent one should master whether they want to change careers or simply upskill themselves. Do you want to begin your Python journey? Check out our most recent course here to learn the ultimate talent that will open doors to the future.
- Entry Level Software Developer: $52,491
- Quality Assurance Engineer: $61,459
- Junior Python Developer: $80,994
- Senior Python Developer: $117,822
- Machine Learning Engineer: $141,029
The ability to work in any business or sector anywhere in the globe is only one aspect of mastering this talent. Did we mention that studying Python can be an excellent way to get a high-paying job? Based on job titles, the following are some values that python developers may expect to make on average:
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