Python Certification Training in Singapore

 

Pros of Python in Machine Learning:

Python Programming Language for Machine Learning: Nowadays, Python programming language is gaining more popularity in Machine Learning projects due to its various features. It is a high-level, general purpose and dynamic programming language which is not new in the market. It is available for almost thirty years. Python programming language can be found practically at everyplace, like web and desktop apps, machine learning, network servers and many more. It is mainly used in small project development, but now the big firms such as Google, Facebook, Microsoft, and Netflix are also utilizing Python in implementing their projects. It is one of the fastest growing programming languages, and it is expected that Python will take over other languages such as JAVA in the upcoming year. Python programming language has several advantages which enable Machine Learning developers to use it for developing their Machine Learning projects. Pros of Python Programming Language: Benefits of Python:

• • Extensive Libraries
  • Extenable
  • Embeddable
  • Improved Productivity
  • IOT Opportunities
  • Simple and Easy
  • Readable
  • Object-Oriented
  • Free and Open Source
  • Portable

Let’s have a look at the advantages of Python, which shows that it is the best programming language for Machine Learning: 1. It has an excellent collection of in-built libraries:

• • Python claims a huge number of in-built libraries for data mining, data manipulation, and machine learning. For example, NumPy, this is used for scientific calculation. Scikit-learn have tools for data mining and analysis which optimizes the Python’s brilliant machine learning usability.
  • Panda is another package which provides developers with high-performance structures and data analysis tools and helps them to reduce the project implementation time. Similarly, SciPy is used for advanced computation, and Pybrain is used for machine learning.

2. Moderate learning Curve:

• • Python Programming language is very accessible and easy to learn and use. It focuses on code readability. It is versatile and well-structured language.

3. It is a general-purpose programming language:

• • Well, Python is a good choice if the project requirements are more than just information such as developing a functional website.

4. Easy to integrate:

• • Python programming language incorporates better than “R” in business environments. It is easy to integrate Python with other lower-level languages such as C, C++, or Java. Similarly, the Python based-stack is easy to incorporate with data scientist’s work, which allows it to bring efficiently into production.

5. High productivity:

• • Syntax in Python is extremely readable and easy to understand similar to other programming languages, whereas R programming language has different syntax. The readability syntax in Python programming language confirms high productivity of development teams.

6. Easy to create prototypes:

• • It is already stated that Python is easy to learn and fast to develop. It requires less coding, which means that you can create prototypes and test your concepts quickly and easily in Python as compared to other programming languages. Developing prototypes in Python not only saves developers time, but it also decreases your company’s costs.

7. It is free and open source:

• • Python programming language is available freely; this allows you to download Python for free, i.e. you can download its source code, make the modifications in it and then distribute it. The download comes with an extensive collection of libraries that supports you to carry out your tasks.

8. Object-oriented paradigm:

• • Python programming language supports for both the Object-oriented and procedural programming models. Classes and objects in Object-oriented programming help us to model the real world while functions in procedural programming enable us to reuse the code. A class in Object-oriented programming encapsulates data and function together.

9. Portability:

• Python programming language is portable, i.e. code written in Python can be run on another platform; this is called Write Once Run Anywhere, i.e., WORA, but this is not possible with other languages like C++. When you have to run C++ code on other platforms, it requires making some modifications in the code to run. It is not advisable to use any system-dependent features.