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The Future Scope of a Python Developer

The Future Reach of a Python Developer: The World Is Going Digitized. Data is king! With digital transformation underway, we will slowly advance into an era of exabytes of data, then an era of zettabytes and yottabytes, and so on. The future is about automating processes and using the vast amount of data to make smart decisions. This puts technologies such as artificial intelligence (AI), machine and deep learning, Internet of Things (IoT), etc. at the forefront.

As these technologies lay the foundation for the future, the programming languages ​​associated with these emerging technologies are already gaining popularity. Therefore, this makes the position of languages ​​like R and Python, among others, extremely powerful. With this blog post, we will discuss the future scope of Python as a programming language and a career option for the developer.

So what is the future scope for Python developers? The answer is simple: promising!

Future Technologies bets on Python:

General artificial intelligence (AI) technologies such as machine learning, deep learning, neural networks, and natural language processing (NLP), along with Big Data, are heavily based on Python.

Released in 1989, Python is an object-oriented programming language (it bundles data and code into objects capable of modifying each other), allowing easy task execution, greater stability, and code readability. The programming language is easy to use, requires less code to be written, and therefore requires less time. Unlike before, the Anaconda platform has improved speed. Another reason is its compatibility with Hadoop, the most popular open source Big Data platform. Read more about it here and some mistakes Python developers should avoid when using it for Big Data here (link to previous blog post).

In fact, Python is slowly but steadily becoming the language of choice for the data science field. Based on the IEEE Spectrum interactive list of major programming languages, Python is at the top of the table. Enjoy first place followed by C, Java and C ++. A HackerRank poll sings to a similar tune. It reveals how developers of all ages prefer Python, citing the Love-Hate index. The report further adds, “Python is also the most popular language that developers want to learn in general, and a significant portion already knows it.”

The Python community can easily rely on frameworks and libraries created especially for artificial intelligence and handling of Big Data capabilities.

Let’s take a look at the vast frameworks and libraries available for Python:

Python enthusiasts continually add new libraries and frameworks. As mentioned above, some of these are especially useful in emerging technologies. For example, in the field of Artificial Intelligence, PyML, PyBrain, scikit-learn, MIPy, etc. are available for machine learning; SimpleAI for general AI; neurolab, PyAnn, etc. for neural networks and Quepy for natural language and word processing. Similarly, for Big Data, toolkits and libraries like NumPy, Pandas, Scikit-Learn, Bokeh are readily available.

Leading companies are already using the Python programming language:

Following Cleveroad’s report, some of the world-class companies are using Python as the primary language or in combination with other languages. We mention some of these below:

Instagram:

This popular image-sharing site has implemented Python 3 alongside the popular Python Django framework, citing reasons such as the friendly relationship the language shares with engineers and the speed of development, among others.

Spotify:

Reportedly 80 percent of Spotify’s back-end services are based on Python and the rest on Java and C / C ++. It implements the Python language for backend services and data analysis.

Amazon:

Amazon is believed to be among the companies that use the Python programming language. Use the Python machine learning engine to analyze consumer habits and make accurate product recommendations.

Disney:

The renowned Disney company uses Python along with other technologies such as Hadoop and Apache.

Youtube:

Google’s popular video service YouTube is on the list of companies using Python in combination with Apache Spark for their real-time analytics.

Facebook:

The world’s largest social network, Facebook, also uses Python as the core language for back-end applications with image processing.

The list also includes Quora, Reddit, NASA, Nokia, among other big name companies. The adoption of the programming language is a testament to its ease of use and efficiency. This also broadens the scope of demand for Python developers in the future.

Python Success Stories:

Here is a list of Python success stories in various domains, from administration and Web 2.0 to embedded systems and scalability:

1) Honeywell avoids documentation costs with Python and other open standards

2) Taste! Choose Python for the transition to the social travel network

3) D-Link Australia uses Python to control firmware updates

4) Python Enterprise-Wide at the University of St Andrews in Scotland

5) At Philips, the semiconductor line at Fishkill runs on Python

6) ForecastWatch.com uses Python to help meteorologists

7) Verity Ultraseek: Building Successful Business Solutions with Python

8) ERP5: Mission Critical ERP / CRM with Python and Zope

9) Lightweight and Magical Industrial Performance in Python

10) Wordstream uses Python as its platform of choice

The working scenario for Python programming and its developers:

When learning Python, you can take one of these profiles, namely Python Developer, Software Engineer, Senior Software Engineer, Software Developer, DevOps Engineer, and Data Scientist.

As of Indeed.com, as of June 2018, the average salary for a Python developer is $ 114,391 per year in the United States.

In India, the demand for Python developers is gradually increasing. PayScale data points to the median salary of Python developers by job and also by city.

Python Median Salary by Jobs (Source: Pay Scale)

Software Engineer – Rs 543,463

Data Scientist – Rs 802,840

Senior Software Engineer – Rs 939,617

Python Median Salary by City (Source: Pay Scale)

Bangalore, Karnataka: Rs 892,106

Pune, Maharashtra: Rs 639,249

Hyderabad, Andhra Pradesh: Rs 728,545

As mentioned above, various factors including but not limited to the ease of use of emerging technologies, the vast network of libraries, and the growing demand for world-class companies, Python is not only the language of choice, it also signifies a great demand for Python developers.

Whether you are a student or a professional, it is now easy to learn the Python programming course at your convenience and from certified industry experts. LearnTek offers a series of certifications for experienced students and professionals, be it a step-by-step guide or an advanced course.

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