General Application Programming with Python- Released in 1991, since the time Python is taken as the gap-filler and one of the most amazing solutions for writing scripts and automating the boring stuff with rapid prototype development that can be implemented in multiple languages later. During the last few years, Python emerged as the first-class development solution in the modern IT marketplace. This is no more a traditional utility language only but taken as the major force for web development and systems management. The language is a key driver in big data analytics and machine intelligence.
Python is an extremely versatile programming language that can be used for a variety of applications like development of software, scripting and calculations. It is considered to be the best programming language for beginners because of its ease and simplicity, and also because of its enormous potential.
If you are wondering what all can you do with Python, brace yourselves. You can use Python on any server to develop several web applications. It can be aligned along with software for creation of workflows. Python is also great for performing complex mathematical calculations as well as for handling huge data files. It has the power to connect to various databases and for prototyping. In short, it is among the most versatile programming languages that you can easily learn and master.
Why is Python so attractive?
The following features make Python extremely attractive:
- The relative simplicity and ease of use of Python, compared to other programming languages makes it an obvious first choice. The syntax of Python has a high degree of similarity to English language, and is thus, quite easy to understand.
- Python is compatible with all major platforms like Linux, Mac, and Windows.
- Python allows different teams to work in synchronization without major barriers of language and/ or experience.
- There is a great range of packages and modules that Python can support. Thus, programs that are designed as codes and modules may be used and reused over a range of applications.
- Python works on codes that can be executed as soon as they are written. In addition, the standard library as well as the interpreter are available for free, and there is no exclusivity because of availability of important tools.
- Debugging programs made in Python is very easy and a bad input rarely causes any fault in segmentation. The debugger is integrated within Python.
- The support base of Python is huge and there are regular updates and new features that are made available.
Because of the features and benefits mentioned above, Python has emerged as the most lucrative programming language. However, there are a few downsides that you should be aware of.
The Advantages of Python
Till the time we have learned what is Python but the discussion is incomplete without focusing on the key advantages of the programming language.
Python can be learned quickly
Most of the features of the Python programming language can be learned with little investment of time and efforts. It takes only a few minutes in writing your first Python program. Also, the syntax of the programming language is relatively easy to read and understand. The simplicity of the language is the major reason why it is so popular among tech-savvy and newcomers as well. So, developers could spend their valuable time solving the tough problems instead of thinking about the language complexities.
Python can be adopted broadly
Python is not only popular but it is used broadly based on surveys conducted by the GitHub. Python could run on almost all operating systems either it is major or minor. Even a plenty of libraries and APIs have Python wrappers or bindings, letting Python interface to integrate freely with those APIs and libraries. The only disadvantage of the programming language is its speed. Python is not the fastest programming language still it is versatile and adopted broadly.
Python can be used professionally
Python is a powerful scripting language that can be used to build professional software programs with utmost quality. These software apps can be used as a standalone application or web service too. The basic use case for Python language is scripting or automation. This is not just a replacement for batch files or shell scripts but it can be used to enable automated interactions with GUIs or web browsers etc. Hence, scripting and automation are the tip of the iceberg with Python.
Once you are sure on Python advantages and why it is broadly accepted by organizations and developers, let us learn the general application programming with Python.
The disadvantages of Python
While Python is armed with an arsenal of awesome features and desirable attributes, it is not without some limitations. Read on to know more.
Limited scope in mobile development
Python is not considered to be the ideal language for mobile computing and development. It has only a few built-in mobile applications.
More runtime errors
Because Python is a dynamic language, most errors show up only during its runtime. Thus, it requires more testing than other languages.
Limited database access
Because the access layer in Python is rather primitive, database access with Python is on the lower side, when compared to JDBC, OBDC and other technologies.
High memory consumption
Because it offers flexibility of several types of data, Python is not the language of choice when it comes to tasks that are memory intensive.
When compared to languages like C and C++, Python fares behind them in terms of speed.
The array of desirable features and clear advantages make Python a language of choice, especially for beginners in computer programming. The massive support base, its compatibility with many operating systems, and the availability of the huge, standard library only add to these advantages and steers Python clear ahead of other programming languages in terms of popularity and application.
Learn General application programming with Python
This is possible creating both cross-platform or command-line apps with Python. Python does not have the native ability to develop a standalone binary app from a script but the third-party packages in python can be used to accomplish the same. Here are the general application programming areas where Python can be used successfully.
Data science, AI, Or machine learning with Python
Data analysis, AI or machine learning are the most growing areas in IT and important use cases of Python as well. A plenty of libraries that are utilized in AI or data science have Python interfaces. Today, Python has become one of the popular languages for numeric algorithms and tools designing.
Restful APIs or Web services in Python
The native libraries and third-party web frameworks in Python are most convenient and faster ways to generate everything from web services to REST APIs or data-driven sites. The latest versions of Python are more supportable for asynchronous operations where thousands of requests can be managed together within second with the help of a robust set of libraries.
Code generation or metaprogramming in Python
When we are talking about the Python then everything is an object including libraries, modules etc. In the technical marketplace, Python is taken as the most efficient code generator where writing apps are easy with multiple functionalities and extensibility that is difficult to pull off with other languages.
What is Glue code in Python?
The other name for Python is Glue Language that can let disparate code interoperate. With the same reason, it is used with data science or machine learning frequently. This is just one area of application but it can be used for many other domains too.
This is clear from the discussion that Python is more suitable for application programming but it is not a good option for system-level programming. Further, it could be taken ideal for the standalone binaries or cross-platform apps. The app development with Python is always elegant and simple.