Machine learning is a type of intelligence that allows the computer the ability to learn without being explicitly programmed. Python is one of the most important and popular programming languages in the field of Machine Learning. TIOBE index has declared Python as the most famous programming languages in the world. Python course helps you attain proficiency in Quantitative Analysis, Data Mining and the presentation of data. Python can be used for developing desk top GUI applications, websites, and web applications. As Python is a high-level Machine learning programming and Artificial Intelligence programming language, it has the ability to focus on core functionality of the application by taking care of common programming tasks. The feature of simple syntax makes it easier to keep the code base readable and application maintainable.
Few logical thoughts Why Python should be considered in writing software application
1. Readable and Maintainable Code
Python can be used to developed custom applications without writing additional code contrary to other programming language Python emphasize on code readability and instead of punctuation it uses English keywords. The readable and clean code base will assist in maintaining and update the software with giving extension.
2. Multiple Programming Paradigms
Unlike other advanced programming languages, Python supports several Machine learning programming and Artificial Intelligence programming paradigms. Python supports subject oriented and structured programming fully. In addition to its language feature, it supports various other concepts in functional and aspect-oriented programming. Dynamic type system and automatic memory management is also one of its unique features
3. Compatible with Major Platforms and Systems
In the present generation many Operating System is supported by Python language. Python interpreters can be used to run the code on specific platforms and tools. As Python is an interpreted programming language, it allows to run the same code on multiple platforms without recompilations.
4. Open Source Framework and Tools
With the use of Python GUI framework and toolkits PyQT, PyJS, PyGUI, KIVy, PyGTK and WX Python, one can quicken desktop GUI application development. As Python is an open source programming language it helps to cut short software development cost significantly. A wide range of open source Python frameworks and development tools are available to fulfil your precise needs.
5. Implement Test Driven Development
Python can be used to create prototype of software application faster. Python even makes it simpler for one o perform coding and testing simultaneously by adopting test driven development (TDD) approach. Software application can be built directly from the prototype simply by recoding the Python code.
Python has earned huge reputation as this is one of the most flexible language and can be used for various purpose. Python does have special characteristics for best machine learning namely SciPy and NumPy which is great for algebra and getting to know kernel methods of machine learning techniques and Artificial intelligence techniques. Python is now the favourite amongst the developers for artificial intelligence and machine learning projects. It s now favoured for application ranging from web development too scripting and process automation.