Choose python from the world of programming for the tremendous career growth
Introduction to Python:
Python is a dynamic, intuitive, object-oriented and high-level programming language. It relies upon the diverse semantics, data frameworks, and advanced writing. It is also extensively used in the areas related to web developments, data mining, cloud computing, etc. It utilizes English keywords often whereas different languages use accentuation, and it has less linguistic developments than different languages. The points below will define the Python in detail as:
Python is elucidated − Python is prepared at runtime by the translator which implies that one does not have to compile the program before its execution like PERL and PHP.
Python is Interactive − Python provoke and cooperate with the translator specifically to compose your program.
Python is Object-Oriented − Python underpins Object-Oriented style or procedure of programming that exemplifies code within objects.
Python is a new learner’s Language − Python is an incredible language for the new programmers, and it also supports the advancement of an extensive variety of applications from primary content handling to WWW programs to diversions.It enables the software engineers to design and establish their application quickly. The standardized libraries of python are also easily accessible without charge and can be utilized for significant stages. It is also very easy to learn scripting language which helps in developing the strong or powerful applications. It is created by a Dutch programmer, Guido van Rossum in the year 1989. The language is also having all the features of the conventional programming languages like C, C++ and Java programming. It is also ideally created for rapid prototyping of the complex applications. Hence, Python is magnificent and considered as one of the most prominent languages to learn to programme. Python is also ranked among top ten high-level programming language.
The image below represents the features of the python for your easy grasping:
Uses of python programming:
• It is a core to the Linux and must known language for the Linux programmer and system developer
• It is must known language for the automation testing professionals
• It is also used in the Database programming
• It is used to develop the Complex website and systems
• It is also used for the game development applications
The image below represents the overview of python through the Venn diagram:
Reasons to learn python programming:
The reasons for learning python programming language are as follows:
- Easy learning − Python includes the set of few keywords, clear structure, and has an easily defined syntax. It supports the programmers or leaners to understand the language quickly.
- Readability, − Python code, is more clearly defined with a feature of easy readability in comparison to any other programming language.
- Maintenance − Python source code is simply very easy to manage and maintain.
- Cost effective- Python involves an element known as syntax emphasize readability which will lessen the cost support of the program.
- Open source- Python software is freely distributable, and the source code is easily customizable and readable too. It is an example of a FLOSS software which means Free or Libre and Open Source Software.
- Intuitive Mode − Python has bolster for an intelligent mode which permits quick testing and investigating of bits of code.
- Durable- Python is durable also because of its open source features which makes it well compatible to run or work on different platforms like Linux, Windows, Amiga, AROS, etc.
- Convenient − Python can keep running on a wide assortment of equipment stages and has a similar interface on all stages.
- Extendable – Low-level modules can be added to the Python mediator. These modules empower developers to add to or alter their apparatuses to be more proficient.
- Databases − Python gives interfaces to all real business databases.
- GUI Programming − Python bolsters GUI applications that can be made and ported to numerous framework calls, libraries and windows frameworks, for example, Windows MFC, Macintosh, and the X Window arrangement of Unix.
- Adaptable − Python gives a superior structure and support for expansive projects than shell scripting.
- Expressive- Python is more expressive than any other type of programming languages.
- Extensive library- Python has an extensive library which provides set of modules and functions for developing the web application at a rapid speed. It further helps in help in enhancing the overall performance of the python language and which also help the programmers to write the codes quickly
- Works on Django Framework- Python works upon the Django framework which allows the learners to model their domain and code classes. It also makes it simple to design the applications which are ready to deploy.
- Flexibility- Python is growing due to its feature of increasing productivity. Hence, it is flexible too. Few of the examples of its versatility.
- IronPython is intended for similarity with .NET and C#
- Jython or Python coordinated with Java
- CPython, a variant with C
- More functions with few codes- Python programming language is based on writing the fewer lines of codes as it helps in reducing the efforts of the programmers.
- Promising Career with high pay scale – As per the research conducted, it has been observed that Python is one of the most demanded skill in the job market and also one of the programming languages with the highest average compensation being offered too.
The chart below explains the comparison of the Python language with the other programming languages:
The scope of Python:
As we have discussed the feature and uses of the python which explains that it is a programming language which is extensively used in the areas of the web and application development etc. The scope of this programming language is also very promising as some of the future technologies like big data, networking, artificial intelligence etc. are relying heavily on python programming such as:
Artificial Intelligence:
The various python frameworks, libraries and apparatuses are developed so that to direct the Artificial intelligence which will directly result in reducing the human efforts and enhances the overall accuracy and efficiency for the various development purposes.
As artificial Intelligence is the budding technology which makes it possible to invent the speech recognition systems, autonomous cars systems, interpreting data’s like images, videos and etc.
For instance, few of the python libraries and tools which are used in the various Artificial Intelligence branches as:
• Machine Learning- PyML, PyBrain, sci-kit-learn, MDP Toolkit, GraphLab Create, MIPy, etc.
• Neural Networks- PyAnn, pyrenn, ffnet, neurolab, etc.
The image below represents the relationship of python with artificial intelligence:
Big data:
The role of Python programming language in the growth of the big data technology is remarkable as python can be used across the different functions of managing the bid data sets. As it helps the data professional o proficiently handles the big data related queries. Python has been efficiently contributing in investigating the big data sets through its elite toolboxes and libraries.
For instance, the python libraries and toolkits which are used for the Data analysis and managing the big data issues as
• Pandas
• Scikit-Learn
• NumPy
• SciPy
• GraphLab Create
• IPython
• Bokeh
• Agate
• PySpark
• Dask
The image below represents the relationship of python with big data:
Networking:
Python is also having a bright future scope with the networking technology. As it is widely used to read, compose and arrange the routers and switches and to perform the other networking automation functions in a very cost-effective and efficient manner.
For instance, few of the python libraries and tools used by the networking experts for network automation are as follows:
• Ansible
• Netmiko
• NAPALM (Network Automation and Programmability Abstraction Layer with Multivendor Support)
• Pyeapi
• Junos PyEZ
• PySNMP
• Paramiko SSH
The image below represents the relationship of python with big data:
Organizations using python programming language:
There is a number of small and big corporation houses, and new start-ups are immensely using the Python programming language so to improve their business productivity and which directly helps in meeting their customer’s or clients requirements.
Few of the world’s renowned organization which are continuously deploying python to develop or handle their production issues are as:
- NASA
- Walt Disney Feature Animation
- AlphaGene, Inc.
- Red Hat
- IBM
- SGI, Inc.
- Yahoo! Maps
- BitTorrent
- Youtube
- Facebook and many more.
As all these companies above are using this programming to develop easy to use and abridged web applications and systems. Even few of the government organizations are also using this programming language to maintain and manage their websites which help in adding more functionality to them.
- Central Intelligence Agency of the USA is one of the government organization which is using this programming.
Therefore, the above-mentioned details above clearly proves that the Python programming language is one of the highly demanded and widely used languages in the world which influences the IT sector and has a broad scope in the future.
Career prospects for the python programmers:
As we have discussed above the scope of programming language on the technologies and its usages in the organization. In the same manner, the demand for the Python Professionals will increase the need for the Big Data, networking, and artificial intelligence professionals.
The career opportunities associated with the Python programming language have grown significantly from the last few years as the organizations are looking for the talent pool of professionals who all are having impeccable core knowledge and advanced python skills so that to tackle their business challenges. It depicts the better or enhanced career scope for the python programmes in the future.
Accordingly, we have curated a list of some python job profiles are:
- Python Developer
- Software Engineer
- Senior Software Engineer
- Software Developer
- DevOps Engineer
- Data Scientist
- Research Analyst
- Data Analyst
Where mainly with the rise of big data, Python developers are more in demand as the data scientists.
The wide scope of Market for a Python Developer:
Python is one of the highest paying programming languages in the world as the rate/pay may vary according to the role and experience of the Python programmer in the industry.
On an average, a fresher in Python programming can easily churn out the salary round about US$64,827- $110,765 per annum, while any experienced developer with 4y+ experience can fetch nearly US $142167 – 150000 USD per annum.
The figures provided above are according to the average taken for the different roles according to the experience of the experts. The amount may vary according to the nature or part of the job and also with the industry too. Every industry wants to get the best of the talents or expert for their businesses so to take advantage of this incredibly innovative and beneficial technology which merely help the industry or firms to make more profits with fewer investments. It further secures their database and assures the management that the economic system of the company is working fine and efficiently.
The Google trends screenshot below represents the latest scenario of the average pay structure of the python programmer.
Hence, as we have discussed in details above regarding the Python programming language which implies that python is one of the most versatile languages used around the globe these days. And therefore the demand for the Python programmers or developers is increasing in IT sector as they are also getting more pay scale in comparison to any another language programmer. Thus the future of Python programming language and its experts are very bright and secured. Therefore it is ready reference material for the software programmers who all want to learn this exceptional Python programming language from scratch.
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