Why You Need Python in Software Development Project : Aalpha
Have you ever heard of Python? Do you know how it works and why it is critical to the development of software? This article will review Python in-depth, the whys, and the how-to give you all the answers you require. Hence follow along and let us venture into this incredible and versatile language.
For starters, Python is a great programming language developed by Guido Van Rossum back in the nineteen-eighties. We term the language as outstanding due to its great features. Since the eighties, this language has grown from just a simple scripting language to a reliable and mature language with community support and extensive libraries. Python has grown in terms of usage bearing more and more users almost every day while retaining consistent users. To put it in black and white, Python overtook java back in October 2021 to become the top-most programming language worldwide, impressive.
But what has made Python super popular? And how does Python withstand the changes that occur almost every day in the tech industry? Well, let’s dig deeper into this article to find out.
What exactly is Python?
Well, Python can be defined as a high-level, interpreted, object-oriented programming language bearing dynamic semantics. Now let us break down those complex terms:
Interpreted: An interpreted language has the interpreter processing each line of your source code one by one on the spot every time you run your program, pausing each time it encounters an error. A compiled language is the complete opposite of an interpreted language since it translates the entire code once then reports all the errors.
Object-oriented — OOL (object-oriented languages) implement the object concept meaning that:
- Data is in terms of field
- Attributes exist
- Code and properties take the methods and procedure form
This code breakdown aims to try and make programming pretty easy while increasing maintainability and code reusability.
High-level language — a language termed as high level means that it implements substantial abstractions from the computer’s instructions.
However, all these technical terms should not scare you off, as Python is pretty easy to learn and use. What’s more, this programming language is multi-purpose and dynamic, earning the name “universal language.”
The Growth of Python
The development of Python has mostly been based on the fact that it implements a pretty easy-to-implement English syntax that almost anyone can use. The syntax is so straightforward that Python is the most recommended first-children software programming language. But even with this incredible simplicity, Python is pretty efficient in task completion and can be implemented to complete complex tasks. Due to these features, Python has grown immensely over time, reaching great heights.
Advantages of using Python Programming Language
Does implementing Python for software development bear advantages over using other programming languages? Well, Apart from the fact that Python is a “universal language.” Therefore it can be implemented to solve a lot of problems. Python bares more advantages that include:
Python implements an English syntax which makes it pretty easy to work with; the language is also pretty versatile.
Python has an extensive guide, tutorials, development forums, and courses which all merge to create a vast support system for python-users.
As a widely used and well-established language, Python has libraries that are well maintained and a pretty robust framework. Due to these features, Python can streamline the development of so many software needs ranging from machine learning to AI, games, and websites.
Due to its simplicity plus libraries that are well supported and the fact that it is object-oriented, Python lets users develop prototypes pretty rapidly. Using Python, you get from just an idea to a great prototype in no time.
As stated above, Python bears a pretty vast support system plus an extensive coding community. Combine this with the well-established libraries and frameworks, and you get a pretty dynamic language. Using Python, you do not start from scratch; you simply piece together. In addition to this, Python’s simplicity in terms of usage helps its users review and develop software pretty fast.
Python runs in almost any operating system, mac, windows, Linux, and so on.
Python uses an English-like syntax, making it pretty easy to review and read, plus finding bugs becomes pretty easy.
If you encounter issues with memory when coding using other programming languages, that should not stress you anymore. See, Python implements auto memory management which frees up any excess memory after and during execution. What’s more, this auto memory management reclaims memory whenever an object is no longer using it.
Python’s Main Disadvantages
Although Python can boost speed in terms of development, it being an interpreted programming language can bear overall speed issues.
Maybe you have heard of threads; if not, a thread can simply be defined as the execution flow from the start to the end. But well, Python does not support multiple-threading (multi-threading). However, it does support the multiprocessing of programs.
Even though Python is pretty effective, it isn’t native as per Android and iOS programming, making the development of apps for mobiles somewhat problematic.
Python can drain computer memory; hence users need to spend considerable time checking for any memory leaks.
Python is not well developed in terms of database access when compared to other tools.
Popular Python Tools and Frameworks
Python entails pre-made components which users can implement to accomplish tasks faster. Python bears a vast scope of tools, frameworks, and libraries for developers; here are the most used:
- Numpy — provides matrices and array math functions plus functions that work on arrays.
- Scipy is an open-source and free library module implemented for optimization, interpolation, integration, linear algebra, and another engineering, science, and math functions.
- Matlab — for numeric computing plus data visualization
- Seaborn — for robust data visualization
- Ploty — for sophisticated charts and interactive plots
- Pandas — for modeling and analysis
- Dask — for analytics, parallelism ]
- Pytorch — for computation, graphing, modeling, and Machine Learning concepts
- TensorFlow — for graphing and computation
Website, APIs, and Web Apps
- Flask — provides flexibility to python users to choose databases, tools, and other extensions to back different functionalities.
- Django — used to develop pretty complex apps and codes quickly
Python is used for so many things, which include:
- Software and web development
- Video/audio applications
- GUI and CLI development
- Game development
- System Admin Applications
- Machine learning and AI
- Scientific computing
- Visualization and data analysis
- Web scraping
- Robots and embedded systems
Python programming language is pretty, robust, simple, and dynamic, so if anyone asks us, is Python worth learning? Then we would tell them, go ahead and see the wonders of this incredible language. We hope this article has answered all the questions that you might have had regarding Python.
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