The future scope of a Python developer: The world is going digital. Data is king! With the digital transformation underway, we will slowly move into an era of exabytes of data, and then into an era of zettabytes and yottabytes, and so on. The future is all about automating processes and using lots 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. Thus, 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 (groups data and code into objects capable of modifying each other), allowing for easy task execution, greater stability, and code readability. The programming language is easy to use, requires less code to be written and is therefore less time consuming. 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 pitfalls 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 field of data science. According to IEEE Spectrum’s interactive list of top programming languages, Python is at the top of the table. It enjoys first place followed by C, Java and C++. A HackerRank survey 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 overall, and a significant portion already know it.”
The Python community can easily rely on frameworks and libraries purpose-built for artificial intelligence and handling Big Data capabilities.
Let’s take a look at the extensive frameworks and libraries available for Python:
Python enthusiasts are continually adding 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. they are readily available for machine learning; SimpleAI for general AI; Neurolab, PyAnn, etc. for neural networks and Quepy for natural language and text processing. Similarly, for Big Data, the toolkits and libraries like NumPy, Pandas, Scikit-Learn, Bokeh are available.
Leading companies are already using the Python programming language:
According to the Cleveland report, some of the world-class companies are using Python as their main language or in combination with other languages. We have mentioned 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 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 back-end services as well as for data analysis.
Amazon:
Amazon is believed to be among the companies that use the Python programming language. It uses the Python machine learning engine to analyze consumer habits and make accurate product recommendations.
Disney:
The renowned company Disney uses Python along with other technologies such as Hadoop and Apache.
Youtube:
Google’s popular video service YouTube makes it to 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 a core language for back-end applications with image processing.
The list also includes Quora, Reddit, NASA, Nokia, among other renowned 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’s 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) Good! Choose Python for Travel Social Network Transition
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) Industrial executions of light and magic 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.
According to 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 seen to gradually increase. Data from PayScale shows the median salary for Python developers by job and also by city.
Average Python salary for job (Source: Payscale)
Software Engineer – Rs 543,463
Data Scientist – Rs 802,840
Senior Software Engineer – Rs 939,617
Median Python salary by city (Source: Payscale)
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 from world-class companies, Python is not only the preferred language, but also signifies a high demand for Python developers.
Whether you are a student or a professional, it is now easy to learn Python programming course at your convenience and through certified industry experts. LearnTek offers a number of certifications for students and experienced professionals, whether it’s a step-by-step guide or an advanced course.