Python – High-level programming language

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Python Software Development

What is the main use of Python?

Python is usually used for developing

  • websites,
  • software,
  • task automation,
  • data analysis, and
  • data visualization.

Since it’s easy to learn, Python has been adopted by many non-programmers. such as accountants and scientists. for a variety of everyday tasks, like organizing finances.

Is Python easy to learn?

Python is considered one of the easiest programming languages. for a beginner to learn, but it is also difficult to master. Anyone can learn Python if they work hard enough at it. but becoming a Python Developer will need a lot of practice and patience.

What applications use Python?

Some of the popular image processing. Python libraries include OpenCV, Scikit-Image, and Python Imaging Library(PIL). Other examples of more common image processing applications. that use Python are GIMP, Corel PaintShop, Blender, and Houdini

Python is an interpreted high-level general-purpose programming language. Its design philosophy emphasizes code readability with its use of significant indentation. Its object-oriented approach aims. to help programmers write clear, logical code for small and large-scale projects. Python is dynamically-typed and garbage-collected. It supports many programming paradigms, including structured (particularly, procedural), object-oriented and functional programming. It is often described as a “batteries included” language. due to its comprehensive standard library. Guido van Rossum began working on Python in the late 1980s. as a successor to the ABC programming language. and first released in 1991 as Python 0.9.0. Python 2.0 released in 2000 and introduced new features. such as list comprehensions and a cycle-detecting garbage collection system. (besides reference counting). Python 3.0 was released in 2008. and was a major revision of the language that is not completely backward-compatible. Python 2 was discontinued version 2.7.18 in 2020. Python ranks as one of the most popular programming languages. Expressions Some Python expressions are like those found in languages. such as C and Java, while some are not:

• Addition, subtraction, and multiplication are the same, but the behavior of division differs. There are two types of divisions in Python. They are floor division (or integer division) // and floating-point / division. Python also uses the ** operator for exponentiation. • From Python 3.5, the new @ infix operator was introduced. It is intended to be used by libraries such as NumPy for matrix multiplication. • From Python 3.8, the syntax: = , called the “walrus operator”, was introduced. It assigns values to variables as part of a larger expression.

• In Python, == compares by value, versus Java. which compares numeric by value and objects by reference. (Value comparisons in Java on objects can be performed with the equals() method.) Python’s is operator may be used to compare object identities (comparison by reference). In Python, comparisons may be chained, for example a <= b <= c . Python uses the words and, or, not for its Boolean operators. rather than the symbolic &&, ||, used in Java and C. Methods Methods on objects are functions attached to the object’s class, the syntax instance. Method(argument) is, for normal methods and functions, syntactic sugar for Class. Method (instance, argument) . Python methods have an explicit program to access instance data. in contrast to the implicit self (or this ) in some other object-oriented programming languages. (e.g., C++, Java, Objective-C, or Ruby).

Python also provides methods, often called dunder methods. (due to their names beginning and ending with double-underscores). to allow user-defined classes to change how they are handled by native operations. such as length, comparison, in arithmetic operations, type conversion, and many more. Python’s design and philosophy have influenced many other programming languages:

• Boo uses indentation, a similar syntax, and a similar object model.

• Cobra uses indentation and a similar syntax and its Acknowledgements document lists Python first among languages that influenced it.

• Coffee Script, a programming language that cross-compiles to JavaScript, has Python-inspired syntax.

• ECMAScript/JavaScript borrowed iterators and generators from Python.

• GDScript, a scripting language very like Python, built-in to the Godot game engine.

• Go is designed for the “speed of working in a dynamic language. like Python “and shares the same syntax for slicing arrays.

• Groovy was motivated by the desire to bring the Python design philosophy to Java.

• Julia was designed to be “as usable for general programming as Python”.

• Nim uses indentation and similar syntax.

• Ruby’s creator, Yukihiro Matsumoto, has said: “I wanted a scripting language. that was more powerful than Perl, and more object-oriented than Python. That’s why I decided to design my own language.” • Swift, a programming language developed by Apple, has some Python-inspired syntax

Why Choose eSource Software?

eSource Software is among the leading software outsourcing companies in Malaysia. Providing quality software outsourcing services, catering to clients across the globe. for projects of any size and scope. 

 
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