In this dynamic world, nothing is constant and everything is changing rapidly, but the popularity of Python has been about to cease. Have you ever wondered if it really pays to learn Python? If yes, what Python can you get out of your career? But have you ever wondered if it’s really worth it? If yes, where can it take? In addition, there are other questions that may bother you. In this article, I am going to answer any questions about the end of your career as Python and Sun are growing.

Python job profiles

• software engineers
• Python developers
• research analysts
• data analyst
• Data scientists
• Software Developers

At the end of 2018, some impressive numbers delivered by Python. According to an investigation conducted by the popular site indeed.com, more than 55,000 jobs are available in the US. for the professional who has experience in Python.

Python as a Career Option

Now the company, both in India and the United States, constantly seeking skilled and skilled manpower to meet the needs of customer technology. C #, C ++, AngularJS, PHP, ReactJS, Android, iOS, Ruby, NodeJS go, and Perl are some skills that warm the stone in 2018 and beyond. Knowing more than two languages, high-level programming, including Python, is always good. Give a competitive edge over the other.

Future Python

In the report on the Python application, we see the use of found python. But what about the future? While many leading companies are stuck with Java, Python is one of the new technologies. the future is bright for Python:

artificial intelligence

Artificial intelligence is the intelligence displayed by the machine. This contrasts with the natural intelligence shown by humans and other animals. This is one of the new technologies to dominate the world. When it comes to AI, Python is one of the first options; In fact, it is one of the most appropriate for him.

To this end, we have different structures, libraries and tools dedicated to allowing AI to replace human effort. Not only does it help with this, it also increases efficiency and accuracy. AI gave us the voice recognition system, standalone vehicle and so on. equipment and library board to follow this branch of the AI:

• Machine Learning-PyML, PyBrain, scikit-detail, MDP Toolkit, GraphLab Create, API
• AI-pyDatalog overview, AIMA, EasyAI, SimpleAI
• neural networks – Yann, pyrenn, FFNet, NeuroLab
• Languages ​​Natural sciences and the text to be treated Quepy, out of place, genius

Big Data

Data is a term for a large data set that bulky and complex software applications for traditional data processing are inadequate in the situation.

Python has helped to develop large volumes of data, libraries, and allows us to analyze a large amount of data through a cluster:

• pandas
• scikit-detail
• NumPy
• SciPy
• Maintain GraphLab
• IPython
• Bokeh

Agate

• PySpark
• Dask

Networking

Python also allows us to configure routers and switches, and allow people to network other performing profitable automation tasks. For this we have a library in the following:

• Ansible
• Netmiko
• Napalm (automation network programming capability and abstraction layer supported by multiple vendors)
• Pyeapi
• Junos Eyez
• PySNM
• SSH paramiko