Python - The Simplest Programming Language

 

Python is an interpreted, object-oriented, high-level programming language with dynamic semantics. It's high-level built-in data structures, combined with dynamic typing and dynamic binding, make it very attractive for Rapid Application Development, as well as for use as a scripting or glue language to connect existing components together. Since there is no compilation step, the edit-test-debug cycle is incredibly fast. When the interpreter discovers an error, it raises an exception. When the program doesn't catch the exception, the interpreter prints a stack trace. The debugger is written in Python itself, testifying to Python's introspective power. On the other hand, often the quickest way to debug a program is to add a few print statements to the source: the fast edit-test-debug cycle makes this simple approach very effective.

Why is Python used?

Python is one of the simplest programming languages and we mean that in a good way. it’s especially great for using on back end web development projects, shortening the amount of time you spend on projects by allowing you to repurpose chunks of code. Python is also used for scientific research and computing and even has several science-friendly or science-specific libraries including:

• Astropy for astronomy
• Biopython for biology and bioinformatics
• Graph-tool for statistical analysis of graphs
• Psychology for neuroscience and experimental psychology

Using Python for machine learning is cool, so it felt like it warranted an additional line item. Machine learning includes things like speech recognition, financial services, even the recommendations Netflix serves up every time you log in. Python is used for machine learning via specific machine-learning libraries and frameworks including scikit-learn. This seems like an odd item to include on the list, but it’s true: Startups, and especially tech startups, love Python because it’s easy to use and scalable.

Advantages of Python

1. Readable and Maintainable Code:

 

While writing a software application, you must focus on the quality of its source code to simplify maintenance and updates. The syntax rules of Python allow you to express concepts without writing additional code. At the same time, Python, unlike other programming languages, emphasizes on code readability, and allows you to use English keywords instead of punctuations.

 

2. Multiple Programming Paradigms:

 

Like other modern programming languages, Python also supports several programming paradigms. It supports object-oriented and structured programming fully. Also, its language features to support various concepts in functional and aspect-oriented programming. At the same time, Python also features a dynamic type system and automatic memory management.

 

3. Compatible with Major Platforms and Systems:

 

At present, Python is supporting many operating systems. You can even use Python interpreters to run the code on specific platforms and tools. Also, Python is an interpreted programming language. It allows you to run the same code on multiple platforms without recompilation. Hence, you are not required to recompile the code after making any alteration.

 

4 Robust Standard Library:

 

Its large and robust standard library makes Python score over other programming languages. The standard library allows you to choose from a wide range of modules according to your precise needs. Each module further enables you to add functionality to the Python application without writing additional code.

 

5. Many Open Source Frameworks and Tools:

 

As an open-source programming language, Python helps you to curtail software development cost significantly. You can even use several open-source Python frameworks, libraries, and development tools to curtail development time without increasing development costs. You even have the option to choose from a wide range of open-source Python frameworks and development tools according to your precise needs.

 

6. Simplify Complex Software Development:

 

Python is a general-purpose programming language. Hence, you can use the programming language for developing both desktop and web applications. Also, you can use Python for developing complex scientific and numeric applications. Python is designed with features to facilitate data analysis and visualization. You can take advantage of the data analysis features of Python to create custom big data solutions without putting in extra time and effort. At the same time, the data visualization libraries and APIs provided by Python help you to visualize and present data in a more appealing and effective way.

 

7. Adopt Test Driven Development:

 

You can use Python to create a prototype of the software application rapidly. Also, you can build the software application directly from the prototype simply by refactoring the Python code. Python even makes it easier for you to perform coding and testing simultaneously by adopting test-driven development (TDD) approach. You can easily write the required tests before writing code and use the tests to assess the application code continuously. The tests can also be used for checking if the application meets predefined requirements based on its source code.

 

Common Industries Using Python:

 

Insurance: Creating business insights with machine learning

Retail Banking: Flexible data transformation and manipulation

Aerospace: Meeting software system deadlines

Finance: Data mining to identify cross-sell opportunities

Business Services: API access to financial information

Hardware: Automating network administration

Healthcare: Predicting disease prognosis

Consulting Services: Bespoke web development

InfoTech: IT modernization

Software: Adding extensibility to legacy applications

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