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13 Nov, 2023 Exploring Career Opportunities After Completing a Python Course

Python is a versatile programming language that's employed across various industries for a multitude of purposes. Whether it's creating and testing applications, enhancing software, writing scripts, designing websites, performing complex mathematical calculations, or diving into scientific programming, Python has you covered. For this reason, companies look for adept developers who are competent in using the important modules of Python in numerous ways. Python makes it easier to write code because it's easy to read and understand. It's a great choice for people who are just starting to learn web development. Beginners can find lots of helpful resources like podcasts, videos, blogs, and courses to learn about Python.

In this blog, we'll talk about the job possibilities you can explore with Python skills. We'll look at the various career options that become available once you learn this skill.

Why choose a career in Python?

Many developers like Python because they can learn it quickly and apply what they learn to real projects easily. Python is a coding language that makes it much quicker to develop things. There's no other language that does it as well. Apart from this, the language has a large community base. Many developers use it generically, which makes their lives easier. Developers are always ready to help each other. Python has a wide range of uses and can be very useful in the future. As AI grows, Python will become even more important. furthermore, the Python community is large and active. On top of that, Python is popular not only among the developer community but also among professionals associated with other fields, such as data analytics and data science. Even the biggest software companies in India often lack enough skilled Python experts. Even though Python is getting more popular, not many people are choosing to learn it formally or get certified in it for their careers. It's a well-paying job opportunity that more people should consider.

Now, let's make what we've been discussing more significant.

If you can find a good balance in your career, you won't have to worry too much about your salary. You can even work with famous companies like Amazon, Accenture, Cognizant, Tata Consultancy Services Limited, and more. As you gain experience, your career will keep getting better. In 2023, the job landscape for Python has changed significantly. Senior Software Developers make around Rs.9.94 lakhs per year on average. Data Scientists earn about Rs.8.73 lakhs per year on average, while Machine Learning (ML) engineers make around Rs.7.34 lakhs per year on average. Data Analysts earn less, with an average salary of around Rs.4.7 lakhs per year. This data shows how promising and lucrative a career in Python can be and indicates the future potential of Python in the job market. You can see how popular Python is because major companies like Facebook, Netflix, Google, and Spotify use it. This means that if you're good at Python, you could have the opportunity to work at one of your dream companies. As you can see, Python offers a wide range of career choices and the potential to earn a good salary. Now that we've discussed the potential earnings for this expertise, let's look at all of the job options that you can pursue. A few blogs and forums run by the developer community have given python the boost up when it comes to the top languages to learn. It has consolidated its role over the years. Python is a versatile programming language that can be used in different variety of fields, such as software development, business, Government administration, science, arts, education, and others. According to many job platforms, there were more than 75,000 open jobs for Python developers in India at the end of 2019. Similarly, the open jobs for Python web developers were around 7000 around the same time. Additionally, the job portal listed roughly 108k open positions for Python-skilled software developers.

What Are the Python Career Opportunities?

So, what kind of jobs can you get after learning Python? Here are a few roles you can take on:

This is one of the most common jobs you can get after learning Python. The statistics we mentioned earlier show that there will always be job openings for Python developers. What does a Python developer do? Here are some of the main tasks: Create Websites
-Solve Data analysis issue
-Write Code that can be used again and is efficient-Improve data algorithms
-Ensure data securities

The Product Manager is like the leader of a product, and their main goal is to make the product successful. They guide the product. Their main tasks include turning business needs into specific requirements, deciding which parts of the product to work on first, and finding solutions to business problems.

A data analyst looks at data to help solve problems related to a company's customers. They also share this information with managers and other important people. Data analysts work in various industries like business, finance, criminal justice, science, medicine, and government. You can think of a data analyst as someone who knows how to turn raw data into useful information and insights that help businesses make decisions.

-Data extraction from primary and secondary sources using automated technologies
-deleting damaged data, resolving coding issues, and other relevant issues
-Creating and looking after databases and data systems - arranging data in an easy-to-read way.
-Analyzing data to determine its significance and quality.

A machine learning engineer is a professional who works at the crossroads of software engineering and data science, with expertise in machine learning. Their job is more than just making machines do certain tasks through programming. They handle everything from start to finish in implementing and improving machine learning algorithms.

-ML engineering focuses on creating functional software products, not just visualizations or analytical insights.
-The intended users of this software are other software components that operate with little to no human involvement.
-ML engineers handle data science models and make them suitable for large-scale, real-time data processing.
-Their daily tasks involve tasks such as data processing, model training, testing, and implementing machine learning solutions in a production environment.

Conclusion

Overall, embarking on a career journey after completing a Python course offers a multitude of exciting opportunities. Python's versatility and readability make it a valuable asset in various fields, from web development to data science. The demand for Python professionals remains high, ensuring a steady stream of job openings and competitive salaries. With the chance to work for renowned companies and participate in innovative projects, the future for Python enthusiasts is undoubtedly bright. Moreover, the skill's relatively gentle learning curve makes it accessible to beginners, promising a world of possibilities and ventures to those who embrace it. So, if Python piques your interest, there's no need to overthink it – leap and explore the vast career horizons that await you.

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