Listed below are some of the main reasons why you should learn Python Programming:

• Popularity and potential for high salaries: Python is very popular among developers. As it is has been proven to be a truly universal language that can be used to meet various development needs, it offers a lot of options to programmers in general.Python experts draw among the highest salaries in the industry.
• Extensible and portable: These two properties of the Python programming language allow a developer to seamlessly perform cross languages operations. Python is also supported by some of the leading platforms in the industry including Macintosh, Linux, PlayStation and Solaris, among several others.
• Simple and Easy to learn: Python is a programming language that is very simple and easy to learn. It is very powerful, yet has syntax that resembles the English language very closely. The following are the contributors to the simplicity of Python:
  • Interpreted
  • High level
  • Large and active community of developers
  • Free and open source
• Web Development: Python provides developers with a variety of frameworks in order to enable the development of websites. Since most frameworks on which websites are based are built on Python, Python code is, therefore, run faster and in a more stable manner.
• Testing Framework: Python is a great platform for established companies to validate products or ideas. Python consists of a number of testing networks that are built in, including frameworks to test fastest workflows as well as debugging. Testing is usually a tedious task but is made easier with the use of Python.
• Computer Graphics: Python is used in a variety of online as well as offline projects. The ‘Tkinter’ library in Python provides developers with an easy and a fast method to create applications. Python can also be made use of in order to develop a game with the ‘pygame’ module.
• Scripting and Automation: During Scripting,
  • The code is written in the form of scripts, which are executable
  • The machine reads and interprets these scripts
  • Checking for errors is performed during Runtime

One of the best features of Python programming is that the Python programs can be moved from one platform to another and can be run without making any additional changes on almost all platforms including Windows, Linux, and Mac OS X. It has a simple syntax, which is quite similar to the English language. Moreover, its syntax allows developers to write programs with shorter or fewer lines as compared to other programming languages. Another major advantage with Python programming is that prototyping can be done very quickly, that is, a code can be executed as soon as it has been written.

Python has emerged as the most favoured language for Data Analytics. It easily integrates with other technologies and offers greater stability, leading to higher programming productivity especially in complex Agile projects. Python reduces development time by nearly half due to it’s easy to read syntax and simple compilation function. Python has a built-in debugger, making the process of debugging programs a straightforward task. Since a long time, the use of Python was restricted to scientific computing and highly quantitative domains such as finance, physics, oil and gas, and signal processing, but it is now finding increasing acceptance across all domains, especially in the field of Data Science.

Being a user-friendly language, Python is used in various domains. Below mentioned are a few applications of Python language:

1. Web and Internet Development:

Python has libraries for internet protocols like HTML and XML, JSON, etc. as well as an easy-to-use socket interface, making the process of web development hassle free.

2. GUI Based Desktop Application:

With numerous GUI toolkits available, like wxPython, PyQt or PyGtk, developers can create highly functional Graphical User Interfaces (GUI).

3. Operating Systems:

Python has developed to become an integral part of Linux distributions. For example, Ubiquity Installer of Ubuntu has been developed in Python.

4. Science and Numeric Applications:

Python has become an integral part of the application of computation and processing of scientific data due to its productivity, availability of tools and higher speed. To name a few tools: SciPy, Pandas, IPython, etc.

5. Software Development Applications:

Python is used as a support language by Software developers for build-control and management, testing, etc.

6. Application of Python in Education:

Python has paved its way to becoming an amazing language for teaching programs, both at introductory as well as advanced level. Example: Scons, Buildbot, Apache Gump, etc.

7. Application of Python in Business:

Python is widely used to build ERPs and e-commerce systems. Example: Tryton, Odoo.

8. Database Access:

Customize different databases like MySQL, Microsoft SQL Server, Oracle, etc. with the help of Python.

9. Games and 3D Graphics:

With the help of various modules, libraries, and platforms that support the development of games, one can develop games with Python.

10. Other Applications of Python:

Python is further used in the following applications

• Applications for Images
• Video or Audio based applications
• 3D CAD Applications
• Machine learning
• Robotics
• Artificial Intelligence
• Web Scraping
• Scripting
• Enterprise Applications

It has a simple as well as an easy-to-use syntax, making it a perfect language to learn for a fresher who is trying to learn a programming language for the first time.

Python has widespread use in the domains of web development, application development, developing games, etc. It has been described as one of the most organized languages and standard languages by its users.  With the increase in popularity of Python language, it is expected to grow tremendously in the fields of Artificial Intelligence, Networking and Big Data in the near future.

Artificial Intelligence: Various frameworks, tools, and libraries are being developed to direct artificial intelligence to reduce human efforts and increase the accuracy and efficiency for development purposes.

Networking: Python performs various networking automation tasks such as reading, writing, and configuring routers and switches in a cost-effective and secure way with the help of various tools and libraries such as Ansible, Netmiko, etc.

Big Data: Python programming language has helped the big data technology to grow. Thanks to its high-performance libraries and toolkits, Python continues to successfully contribute to the analysis of a large number of data sets. To name a few python libraries and toolkits for Data Analysis: Pandas, Scikit-Learn, NumPy, Dask, etc.

If you want to advance your career and get better jobs, a certification in Python might be worth looking into. It’s a popular programming language and is growing rapidly. It is simple, flexible, easy to use, and complete all at once. Python is an excellent choice for data visualization, machine learning, and analysis. If you are looking to get into data science, getting a certification of Python should be your first goal.

A Python program can be run in the following two ways:

• Running a Python program in a Python shell
  • Fire up your IDLE (Python GUI) file
  • Simply type in your Python script and press enter
  • Your program will start running
• Running a Python program stored in a fileIn order to run a Python program stored as a Python script in a file, follow the given steps:
• Write your script in an independent file
• Save the file with a ‘.py’ extension, thus indicating to the system that the file is a Python program.
• Initialise the terminal on your system.
• Navigate to the directory where you have stored your file with the .py extension by typing the following command in the terminal:
  • Cd directoryName.
  • Now press enter
• Type the command
  • Chmod a+x filename.py in order to inform your system that the said file is an executable program.
• Next, type ./filename.py in order to run your program.