Python Programming Language features, advantages and disadvantages

Python is a free and open-source software (FOSS), It runs on all major operating systems such as Microsoft Windows, Mac OS X, and Linux, It is accessible to anyone, The code can also be modified and re-distributed, Syntax of Python is easy to learn, so, both non-programmers & programmers can start programming right away.

Python advantages

Python Software Foundation distributes pre-made binaries that are freely available for use on all major operating systems called CPython, Python is widely supported, It has an active support community with many websites, mailing lists, and net-news groups that attract a large number of knowledgeable & helpful contributors.

Python is easy to learn its syntax, It doesn’t matter if you have been acquainted with other programming languages before, You can use Python easily because of its syntax, Python’s syntax is very clear, so, it is easy to understand the program code, It is referred to as executable pseudo-code as its syntax mostly follows the conventions used by the programmers to outline their ideas without the formal verbosity of code in many programming languages.

The syntax of Python is almost identical to the simplified pseudo-code used by many programmers to prototype and describe their solutions to other programmers, So, Python can be used to prototype and test code that is later to be implemented in other programming languages.

Python

Python features

Python is a high-level language, It looks more like a readable, human language than a low-level language, This gives you the ability to program at a faster rate than a low-level language will allow you, Python is far from being the only programming language that you can use for your coding needs.

Object-oriented programming enables you to create the data structures that can be re-used, which reduces the amount of repetitive work that you will need to do, Programming languages define the objects with the namespaces and the objects can edit themselves by using certain keywords.

Even programmers who write in other languages can use Python as a testing ground where they can test their code before implementing it in a different language, Python shares this distinction along with other languages such as Java, C#, and C++, The object-oriented languages can be used to design any type of non-trivial software, that can in turn be implemented in any scripting or programming language.

Python doesn’t have the pointers such as the other C-based languages, making it much more reliable, The errors never pass silently unless they are explicitly ordered, This allows you to see and read why the resulting program crashed and where to correct your error efficiently.

Python is famous for being batteries included language, There are over 300 standard library modules that contain modules & classes for a wide variety of programming tasks, In addition to the standard libraries, there are extensive collections of freely available add-on modules, libraries, frameworks, and tool-kits, These generally conform to similar standards and conventions.

If you need to take apart the code that someone else wrote (either for study or troubleshooting), you can easily do it due to the clear readability of the programming language, Nearly all the database adapters (used in talking to any client-server engines like Oracle, MySQL, Postgres, etc ) conform to Python DBAPI, So, allowing the users to access them using the same code, So, It is easy to modify Python programs to support any type of database engine.

Python has been an important part of Google since the beginning and remains so as the system grows and evolves, Today dozens of Google engineers use Python, and Python may become popular for the Internet, as new platforms such as Raspberry Pi are based on it,  It is easy to use (easy to read and write), It is extremely popular in academia, creating a large talent pool.

The readability of Python facilitates open source development, It helps you think more clearly when writing the programs, It helps the others who will maintain or enhance your program, It requires less effort to write Python programs than to write one in another language like C++ or Java.

Python is a very productive way to write code, Some of this comes from the simple syntax and readability, Some of it comes from the rich, well-designed built-ins and standard library, and the availability of many third-party open source libraries & modules and the code is easier to maintain.

Python is dynamically typed and flexible, with less verbose code, Python has a plethora of frameworks that make web programming very flexible, Django is the most famous Python framework for web development, It gives rise to quick development by using less code.

Python is great for writing asynchronous code, which rather than threading uses a single event loop to do work in small units, This code is often easier to write & maintain without confusing the resource contention, or deadlocks, Python’s generators are a great way to interleave running many processing loops in this approach.

Python’s programming approach is not as limited as Java‘s, Unlike Java, Python is a multi-paradigm and supports OO, procedural, and functional programming styles, It’s possible to write applications in Python using several programming paradigms, It is used for writing very clear and understandable object-oriented code.

It supports multiple systems and platforms, The developers can now build cameras, radios, and games with ease, Python allows them to scale the most complex applications with ease, A large number of resources are available for Python, It offers a built-in testing framework to set debugging time & enable fastest workflows, IT giants like Yahoo, Google, IBM, NASA, Nokia & Disney prefer Python.

Python is much better suited as a glue language, while Java is better characterized as a low-level implementation language, Python is older than Java, Python is viewed as strictly a glue scripting language although it is powerful enough for industrial-strength software development.

While Python is evaluated against Perl as a scripting language particularly suited to Internet applications, It can be characterized as Object-oriented, Interpreted, Interactive, Modular, Dynamic, High-level, Portable, and Extensible in C and C++.

It is easy to learn for a novice developer, Its code is easy to read, and you can execute many complex functionalities easily due to the standard library, It incorporates modules, exceptions, dynamic typing, very high-level dynamic data types, and classes, It has interfaces to many system calls and libraries, as well as to various Windows-based systems.

Python code is far more readable than C or Java, An experienced programmer can pick up the basics of Python in a day, be productive in a week or less, and be relatively expert in the language many times faster than he could achieve equivalent fluency in C, C++, Java, or even Perl.

Python disadvantages

Python is executed by an interpreter instead of compilation, which causes it to be slower than if it was compiled and then executed, Unlike languages that need to be separately compiled & then executed, For most applications, this will not pose the problem, but there are certain instances when an increase in speed is desirable.

Python is a very easy programming language, when you have mastered it, You can be too accustomed to its features especially its late-binding dynamic models & its extensive libraries, So, when shifting to a new language that does not have these, the user may run into difficulties in adjusting.

Speed can be an issue, Python is many times slower than compiled languages, It comes back to separating language from the run-time, Python programs are expected to run slower than Java programs, but they take much less time to develop, a Python programmer wastes no time declaring the types of arguments or variables, Python’s powerful polymorphic list and dictionary types.

Python is slow, It is not a very good language for mobile development, Python is not a good choice for memory-intensive tasks, It is near impossible to build a high-graphic 3D game using Python, It has limitations with database access and it is not good for multi-processor/multi-core work.

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