Can you recognize this friend of ours? This is what her bio says:
- I am dynamic
- I am high level
- I am interpreted
- I am easy to code
- I am object-oriented
- I come free and am open source!
No prizes for guessing who or what I am talking about. If geeks like you thought this introduction to Python was a no-brainer, let me make you tease your brain a bit by leading you to explore the 10 unheard applications developed using Python!
In this blog, I will help you explore the 10 unheard applications developed using Python. If the mention of this topic fills your mind with excitement, get ready and start taking the next steps to carving out a niche career in Python programming!
So, which are the 10 unheard applications developed using Python? This blog will cover these among them:
- Facial Identification
- Central Database For Space Research Organizations
- Image Processing And Graphic Design Applications
- CAD Applications
- Operating Systems
- Semantic Analyzer (Mypy)
- Civil Engineering
- Weather Forecast
- Computer Vision.
Can one even keep a count of the number of areas in which facial identification is used in our present-day world? Social security, Facebook (or other social media), crime records, smartphones…well, the list is endless.
Driving all these is one programming language: our good friend Python. Python is the driving force behind this ever-expanding area of facial recognition. Just a reference to the areas I mentioned in the previous paragraph should give you an idea of the mindboggling variety and reach of Python. It is likely that face recognition using Machine Learning will become the norm for most tracking activities in the years to come, and Python surely has its hands full.
The fact that it is Python that powers face recognition for the applications in which it is used is testimony to this programming language’s versatility and power.
Central Database For Space Research Organizations
One of the highlights of Python is its adaptability and use for space research organizations. In fact, Python prides itself about the fact that its flexibility has equipped no smaller an organization than United Space Alliance (USA), NASA’s main shuttle support contractor, with software that is a combination of speed, cost-effectiveness, and accuracy.
How does Python achieve this? Its simplicity has helped NASA overcome the complexity of some of its flagship deployments such as a Workflow Automation System (WAS). Python, because of its easy codability and proximity to language as understood by humans, eliminates bottlenecks in the language aspects of the software. The ease with which Python adapts to the language aspect has made it possible for USA to minimize data changes and has resulted in near zero rework.
Image Processing And Graphic Design Applications
Python is of immense use when it comes to applications in the field of image processing and graphic design. Python has silently revolutionized, if you like, most areas of image processing and graphic design. The scikit-image library of Python has brought about major changes into crucial areas of image processing and graphic design, such as photography, MRI medical scans, and many related ones.
Some of the aspects of image processing and graphic design that Python eases include:
- Dimensions of an image
- Color to grayscale
- Applying a filter to an image
The relationship between Computer Aided Design applications and Python is very simple and easy to understand: being object-oriented, Python simplifies some of the most complex elements of CAD because of its ability to use objects and their representation to carry out functions. Any wonder then, that the most popular application for CAD, namely fandango, is a Python library?
Python, in its official website, states that it has releases for these operating systems:
- Mac OS X
Python comes with an OS module, into which the functions required for interacting with the OS are built. These are part of Python’s standard utility modules. Why this module is provided is for the simple reason that it is needed to use functions that are OS-dependent portably. Most of these functions needed for interacting with the file system are contained in the *os* and *os. path* modules.
These operating systems come with a means for installing programs that are required for running the system’s Python web applications. Unix OS is considered the most suited operating system for Python.
Semantic Analyzer (Mypy)
Semantic Analysis, as we are aware, is the method by which to ensure that the meaning of a computer program’s statements and declarations are unambiguous and consistent with the manner in which data types and control structures are meant to be used. In other words, semantic analysis is meant to make sure that these are semantically correct.
A semantic analyzer, naturally, checks for meaningfulness and accuracy of the program’s declarations and statements. Since Python is built in a way that makes it easy to understand language the way humans do, it becomes an ideally suited candidate for semantic analysis.
Semantic analysis in Artificial Intelligence is understanding and analyzing the languages based on the meaning and context, in the way done by humans. In other words, semantic analysis is utilized to understand the meaning of the sentence according to the context. In Artificial Intelligence, semantic analysis is used for making NLP applications such as chatbots, which are used to answer customer queries.
The term “hacking” does not need to conjure images of unauthorized intrusion into one’s bank or social security data. There is the powerful field of ethical hacking, which is used precisely to help prevent such nefarious design. And Python sits right there, at the core of ethical hacking.
Aiding in ethical hacking is one of the most potent uses of Python. All the features of Python, namely its being a simple language, yet, a strong candidate for scripting, being object-oriented, and open source, make it perfect for ethical hacking.
Best of all, has a large library stack, all of which make it tailormade for ethical hacking. It is essentially these libraries that make Python wonderfully suited for ethical hacking. Pytorch and TensorFlow, which are used in AI, and Pandas, NumPy, and Matplotlib, used in Data Science, are all Python libraries!
Don’t the centuries old field of civil engineering and Python sound like strange bedfellows? Surprising as it may sound, they don’t! Call it the versatility of Python, or the flexibility of civil engineering; we are seeing today a happy and harmonious blend of these two totally distinct areas of science.
So, just how are civil engineering and Python related to each other?
Python is at the heart of Data Science. Now, Data Science is the rallying force for many aspects of civil engineering. Civil engineers need huge amounts of data, and should be able to make use of them, to carry out meaningful actions in their areas.
Python, being the programming languages that powers Data Science, is thus the highpoint of many applications of civil engineering. Drawings and structural design, critical Machine Learning applications, are powered by Python.
You would perhaps get a better idea of the enormity of the importance of Python to civil engineering if you were to take a glimpse into the areas in which it helps:
- Prediction and management of natural calamities such as cyclones, earthquakes, floods, etc.
- Structural engineering
- Civil issues such as sewerage system, water supply, town planning, etc.
- Construction management
- Helping to manage traffic in city and highway conditions
- Soil analysis
Weather forecasting is one of the areas in which Python has reached a point where it can count on it as one of its success stories. On the Python website, one can find a prominent mention of how ForecastWatch.com, a rating agency for weather forecasting accuracy, which collects weather forecasting data across 800 US cities, is a complete Python solution.
It claims that the accuracy of the forecasts was made possible because of Python, which is used in all its components, be it the back-end to the front-end, or the performance-critical elements of the system.
That Computer Vision (CV) and Python go hand in hand can be understood by the fact that it helps Artificial Intelligence (AI) to help computers identify objects. This is at the root of AI and CV, which is something that Python powers. Python is of major use in helping to automate anything concerning visualization.
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What does a description of the 10 Unheard Applications Developed Using Python tell you? Are you excited in taking the next plunge into a career involving Python?
Do you think you could explore more areas into which Python can be used for applications concerning our daily lives? Please feel free to get in touch with us about what you think about this blog. We love to hear from you!