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The Future Scope of a Python Developer
Future Field of Python Developer: The world is going digital. Data is king! With the ongoing digital transformation, we are slowly entering the era of exabytes of data, then zettabytes and yottabytes, and so on. The future is to automate all processes and use a lot of data to make smart decisions. This includes artificial intelligence (AI), machine and deep learning, Internet of Things (IoT), etc. brings technologies such as
As these technologies lay the foundation of the future, programming languages related to these emerging technologies are already gaining popularity. Therefore, this makes the position of languages like R and Python among others extremely strong. In this blog post, we will discuss the future scope of Python as a programming language and a career option for a developer.
So what is the future scope for Python developers? The answer is simple – hopeful!
Future Technologies works on Python:
Artificial intelligence (AI) banks heavily on Python, including technologies such as machine learning, deep learning, neural networks and natural language processing (NLP), along with Big Data.
Released in 1989, Python is an object-oriented programming language (groups data and code into interchangeable objects) that allows for easy execution of tasks, enhanced stability, and code readability. The programming language is easy to use, requires less code to be written and therefore takes less time. Unlike its predecessors, the Anaconda platform has increased speed. Another reason is its compatibility with Hadoop, the most popular open source Big Data platform. Read more about it and some mistakes Python developers should avoid when using it for Big Data here (link to previous blog post here).
In fact, Python is slowly but steadily becoming the language of choice for the Data Science field. According to an interactive list of the best programming languages by IEEE Spectrum, Python sits at the top of the chart. It ranks first after C, Java and C++. The HackerRank survey sings a similar tune. It reveals how Python is preferred by developers of all ages, referring to the Love-Hate index. The report further adds: “Python is also the most popular language that developers want to learn overall, and a significant share already know it.”
The Python community can easily rely on frameworks and libraries created specifically for AI and Big Data management.
Let’s take a look at the wide range of frameworks and libraries available for Python:
Python enthusiasts are constantly adding new libraries and frameworks. As mentioned above, some of these are particularly useful in emerging technologies. For example, in the field of Artificial Intelligence, PyML, PyBrain, scikit-learn, MIPy, etc. ready for machine learning; SimpleAI for general AI; neurolab, PyAnn, etc. neural networks and Quepy for natural language and text processing. Similarly, toolkits and libraries like NumPy, Pandas, Scikit-Learn, Bokeh for Big Data are readily available.
Leading companies already use the Python programming language:
According to Cleveroad’s report, some world-class companies use Python either as their primary language or in combination with other languages. We have mentioned some of them below:
This popular image-sharing site implemented Python 3 along with the popular Python framework Django, citing reasons such as the language’s engineer-friendliness and speed of development, among others.
According to the report, 80 percent of Spotify’s back-end services are based on Python, with the rest based on Java and C/C++. It implements Python language for back-end services along with data analysis.
Amazon is believed to be among the companies using the Python programming language. It uses a Python machine learning engine to analyze consumer habits and make accurate product recommendations.
The famous company Disney uses Python along with other technologies like Hadoop and Apache.
Google’s popular video service YouTube makes it to the list of companies using Python along with Apache Spark for real-time analytics.
Facebook, the world’s largest social network, also uses Python as the main language for its back-end applications with image processing.
The list includes Quora, Reddit, NASA, Nokia and other well-known companies. The adoption of a programming language is a testament to its ease of use and efficiency. This also expands the scope of demand for Python developers in the future.
Python Success Stories:
Here is a list of Python success stories in domains ranging from management and Web 2.0 to embedded systems and scalability:
1)Honeywell Avoids Documentation Costs with Python and other Open Standards
2) Great! Travel chooses Python for Social Networking
3) D-Link Australia uses Python to Manage Firmware Updates
4) Python Enterprise-Wide at the University of St Andrews in Scotland
5)Fishkill at Philips Semiconductor Line runs on Python
6)ForecastWatch.com uses Python to help meteorologists
7)Verity Ultraseek: Building Successful Enterprise Solutions with Python
8)ERP5: Mission critical ERP/CRM with Python and Zope
9) Industrial Light and Magic works on Python
10)Wordstream uses Python as the Platform of Choice
Job scenario for Python programming and its developers:
By 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 median salary for a Python Developer is $114,391 per year in the United States.
The demand for Python developers in India is gradually increasing. PayScale data shows median salaries for Python developers by job and also by city.
Python Median Salary by Job (Source: Payscale)
Software Engineer – Rs 543,463
Data Scientist – Rs 802,840
Senior Software Engineer – Rs.939,617
Python Median Salary by City (Source: Payscale)
Bangalore, Karnataka – Rs 892,106
Pune, Maharashtra – Rs 639,249
Hyderabad, Andhra Pradesh – Rs 728,545
As mentioned above, a number of factors, including, but not limited to, ease of use for emerging technologies, a wide network of libraries, and increasing demand from world-class companies, mean that Python is not only the language of choice, but also in great 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 from certified industry experts. LearnTek offers a range of certifications for students and experienced professionals, whether it’s a step-by-step tutorial or an advanced course.
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