A Comprehensive Guide to Build Application with Python
Learn how Different Applications use Python
This article will know why we have to develop mobile applications using python.
Python is a high-level programming language and object-oriented. Python has a simple syntax that allows developers to write fewer lines of code compared to other languages. Python is also used to build websites and automate tasks. Python is considered one of the easiest programming languages for a beginner to learn, but in the same way, it is not easy to become an expert on it. Python is a general Purpose Language, i.e. that can be used to create many different programs.
Nowadays, Machine Learning, Artificial Learning, and Data Science play a significant role in building applications for all those pythons is a key, and most people prefer to build using Python.
Introduction
Python can be used in many applications like in creating GUI apps, Business Apps, Web applications, Software Development, Image Processing applications, Audio or video-based applications, Scientific and numeric Calculations, Enterprise applications, Console — based applications, Internet development, Game Development, Data Science, Machine Learning and Artificial Intelligence, etc
Now, let us see each one of them,
1. Desktop GUI Applications
- GUI is Graphical User Interface that has some popular libraries or can be called as inbuilt tools like Tkinder, wxWidgetM, Kivy, PyQt, and also provides easy interaction to any applications.
- Tkinder is fast and provides an easy way to create GUI applications and it also provides a user interface.
- wxWidgetM is used to create native user interfaces for python applications.
- Kivy is an Open Source python library for the fast development of applications that are used to make innovative user interfaces like multitouch applications.
- PyQt is used to create large -scale GUI -based programs.
2. Business Applications
- Python is used in business applications in such a way that it delivers high-performance applications.
- The best examples of business applications are E-commerce and ERP. These applications need readability, scalability…
- Oddo and Tryton are examples of python-based applications i.e., business applications.
3. Web Applications
- For Web applications, python plays the most prominent role in building them.
- Building a web may include 2 parts that are front-end and back-end.
- Python can be used in the backend development of web pages.
- Python provides some frameworks which are used in building Python web applications.
- Those frameworks include Flask and Bottle used for microframeworks, Django used for heavy applications.
- Many popular applications like Instagram, and Spotify use python applications.
- For Instagram, Django is used as a back-end which is one of the web frameworks of python.
4. Software Development
- Some platforms like Google, Netflix, Instagram, and some more use python.
- Some popular tools and libraries are SCons, Buildbot, Trac, etc…
- SCons are used for build control and are an Open Source Software Construction tool.
- Buildbot is used for automated compilers to validate changes to project codebase and it is open-source.
- Trac is used for bug tracking, web-based projects, and open source.
5. Image Processing Applications
- Python can also work with images and some methods to make them more clear and more beautiful.
- Some images can also be manipulated as per our requirements.
- With the images, we can analyze the image and extract some useful information.
- Some libraries used for image processing applications are:
- OpenCV
- Pillow
- SimpleITK
- OpenCV is Optical Character Recognition that uses ML to detect the text which is written in images.
6. Audio or Video-Based Applications
- This application is used to create multimedia applications that are made using python.
- TimPlayer and Cplay are developed using these applications of python.
- Some libraries used here are Dejavu, Pyo, Mingus …
7. Scientific and Numeric Calculations
- Python has libraries for Scientific and numeric like Scipy, Scikit- learn, NumPy, and pandas.
- These are popular frameworks of libraries.
- SciPy is used to solve Scientific Computations and mathematical problems.
- Scikit- learn contains efficient tools for ML and statistical modeling.
- Numpy is a numerical python that is used for multidimensional array objects and is also used for mathematical and logical operations on arrays.
- Pandas are mainly used for analyzing huge amounts of data.
8. Game Development
- It can be used for creating both 2D and 3D games.
- The Libraries used in gaming are pygame, panda3D, and Cocos2D to make game development.
- Some games which we can create with this application are Tic Tac Toe, Flappy Bird, Snack and Ladders, Sudoku, and many more.
9. Data Science
- Some most popular libraries used by data science are TensorFlow, Pandas, Socket, Mathplotlib, NumPy, Scipy, Scikit — learn…
- It may involve data collection, data sorting, data analysis, and visualization.
- The in-built libraries may provide more convenience to Data Science Professionals.
- Those libraries are used for data preprocessing and performing data analysis.
- These libraries reduce the work of Data Science Professionals and make work easy.
10. Machine Learning and Artificial Intelligence
- Machine Learning and Artificial Intelligence words are most popularly used nowadays.
- Machine Learning is part of Artificial Learning which allows applications to get appropriate predicting outcomes without any explicit programming.
- Artificial Intelligence is that machines learn from experiences and adjust for new inputs and perform human-like tasks.
- Some inbuilt libraries like NumPy, Keras, Sklearn, and SciPy are used in building AI and ML models.
- Some ML models which were created using python are Student Percentage Prediction, Medical Insurance Charge Prediction, and Virtual Personal Assistants.
- Some AI models can be created using Healthcare, Fake Review Detector, Spam Identifier…
These are some of the applications that can be built using python.
Pros of App Development with Python
- > Python works with all Operating Systems.
- > Easy to use (anyone can use).
- > Efficient for Small and Large Scaled Projects.
- > Best visualization of data.
- > Easy and Simple syntaxes.
Cons of App Development with Python
- > Slower compared to other language applications.
- > Uses more energy.
- > It is not memory efficient and has slow processing power.
Python Tools for App Development
Some tools, which are required for building python apps include,
Some Popular Applications Developed with Python
Till now python is used in many popular real-time using apps that may include,
- Uber
- Spotify
- Dropbox
- Rebbit
- Quora
- YouTube
Conclusion
In this article, we learned about building applications using python.
- Some applications which we discussed are Web applications, Gaming, Data Science, AI and ML, image processing applications, GUI applications, and many more.
- Pros and Cons for App development with python.
- Tools for developing apps and Some popular apps developed using python.
Learn in-depth about Python from here.
Hope you enjoyed this blog!
Happy Learning!
Interested in more? Check out this article about how to format your python code.
