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Python is acknowledged collectively as one of the best languages for AI and ml projects. it’s been advised by most of the programmers and by the companies. I believe what makes Python web development thus popular is- “it’s super easiness” & “it’s straightforward coding”.

Nobody likes to write tough and confusing codes for algorithms that require mathematical calculation. Hence, many businesses widely consider Python as a great alternative for data science and scientific computing and hire python developers for building complex scientific & numeric applications.

Python developer’s area unit focused on serving a friendly system to its clients. Take a quick overview of how Python helps its developers to facilitate data analysis. Also, recognize why it’s the best language for machine learning and artificial intelligence.

An Introduction of Python

Invented in 1991 by Guido van Rossum, Python may be a high-level, flexible, general-purpose programming language. Its design philosophy is emphasized with code readability and notably using spectacular whitespaces. Python developers use this technology for building a desktop user interface and web applications. Unlike Java, it’s easy to learn and write code in Python for complex applications.

An Introduction of Python

Due to its great data handling, it’s become a top alternative for both small and large-scale businesses soon. underneath the image, there are huge amounts of|such a large amount of|such a lot of} big brands and known companies like Instagram, Amazon, Snapchat, Spotify, SurveyMonkey, Facebook, Twitter, and many others are units using this technology for handling huge data. As you’ll be able to see, there are so many reasons to switch for this robust technology. a few of them are written below:

  • Easy To Understand
  • Flexibility
  • User-Friendliness
  • SEO-Friendly
  • Great Data Handling
  • And Lastly, Best For AL and Machine Learning

Python interpreters are available for several operating systems. a worldwide community of programmers develops and maintains CPython, an open-source reference implementation. A non-profit organization, the Python software package Foundation, manages and directs resources for Python and CPython development.

Some Reasons Why Python Is Best For Machine Learning Projects

Python programming language offers a huge list of advantages to everybody ranging from a small size business to large size businesses. The Python usage isn’t restricted to solely one activity. Because of its increasing quality, the Python language will quickly enter into some of the complex and most common processes like data science, artificial intelligence, machine learning, natural language processing, etc. Python programing language is employed in machine learning because of the subsequent reasons:

The primary aim of machine learning is to let computers learn and develop code mechanically without any human intervention. Even huge data will be analyzed quickly by machine learning. to find profitable opportunities at the side of associated risks, it delivers quicker however accurate results.

Reasons Why Python Is Best For Machine Learning

1. Healthy Community Support

Python programing language is entirely an open-source language with good facilities of the developer’s community. there’s a lot of resources on the market which may acquire any developer for fixing the problems as quickly as possible. Also, there’s a huge network of Python developers who can facilitate other developers in several phases of their development life cycle.

2. Amazing Pre-built Libraries

There are tons of pre-built libraries accessible in Python programming language that satisfies each requirement of your machine learning project. The libraries are very much necessary after you are working on additional significant projects. It’ll be helpful to avoid wasting time and prevent the initial development cycle. Python has an excellent collection of libraries like NumPy for scientific computation, Scipy for advanced scientific computation and Pybrain for machine learning and Django for web development.

There are also some libraries with additional emphasis like scikit-learn. This inbuilt library is used for machine learning applications and nltk for natural language processing. There are library-like tools that give cross-platform support and have a large benefit. With the assistance of those prebuilt libraries, the developers can save tons of your time in project implementation. If anyone doesn’t appear aware of these libraries, then it’s better to hire Python developers who know these.

3. Platform Agnostic

Although Python may be a trendy scripting language that is known for its scalability. Its platform independence is another important feature that adds a new feather in its hat. many cognitive technologies and mathematically oriented frameworks like Django, Apache Spark, TensorFlow, Caffe2, Scikit-Learn, Pytorch and plenty of other gear-up many businesses additional towards offering statistical results. Few of them are focused on deep learning whereas few are in providing a rich set for algebra.

It is a true portable technology that will run smoothly on CPUs, GPUs, servers, desktops and even on mobile computing platforms as well.

4. Flexibility

Python language has provided many advantages, flexibility is one of them. Python is appropriate for each purpose; it’s an option to choose between the object-oriented approach and scripting. It works as an ideal back-end language, and it’s also possible to associate completely different data structures together in Python. additionally, in Python, there’s an option of confirming the majority of code within the IDE itself, which may be a huge advantage for developers who find difficulty in implementing algorithms.

5. 1/5 Times Shorter Codebase

We know that machine learning contains many algorithms and it’s typically difficult for the developers to implement all of them. Python programming language offers a comfortable testing environment that makes it one of the top programming languages between developers and programmers. With the help of Python programming language, it’s possible to write and execute all the codes quickly and expeditiously. As compared to other languages like Object-oriented based programming languages, Python will implement similar logic with the maximum amount as one-fifth of the code. Due to this reason, Python language has become the primary choice of most companies for machine learning projects.

6. Popularity

Nowadays, Python programming language is gaining a lot of popularity between millions of developers worldwide. Python language is simple to learn, and then it’s fascinating the new developers and programmers to learn and use this programming language for their projects. Although, machine learning projects ought to be developed by experienced developers Python may be a smooth learning platform. Rather than hiring a multi-programming developer, it’s much easier to employ Python developers. Python has become the most recent trending language today because of its dynamic developer community and prolonged libraries with enhancing source code and ever-developing language.

Which is best Python IDE for Machine Learning

Choosing an integrated development environment (IDE) that suits your needs is often a non-trivial task. There are many available options. There are a number of interesting IDEs, with all kinds of tools that might help you code faster and avoid some errors. Some of them are free and open-source. The Best Python IDEs and Code Editors For programming in 2020.

According to Wikipedia, “Python is a widely used high-level, general-purpose, interpreted, dynamic programming language.” Python is a fairly old and very popular language. It is open-source and is used for web and Internet development (with frameworks such as Django, Flask, etc.), scientific and numeric computing, software development, and much more.

Best Python Libraries & Frameworks for Machine Learning

Implementing ML and AI algorithms require a well-structured & well-tested environment to empower developers to come up with the best quality coding solutions. Python library or framework is a pre-written program that is ready to use on common coding tasks. Let us become familiar with the best Python machine learning libraries:

  • TensorFlow Python
  • Keras Python
  • Theano Python
  • Scikit-learn Python
  • PyTorch Python
  • NumPy Python
  • Caffe
  • Apache Spark
  • Apache Mahout
  • Apache Singa
  • Amazon Machine Learning
  • Accord.NET

FAQ :

1. Why is Python so widely used?

Python is widely used in bigger organizations because of its multiple programming paradigms. They usually involve imperative and object-oriented functional programming. Python is also very famous for its simple programming pattern, code readability and English like commands that make coding in python a lot easier.

2. Why is Python preferred over other languages?

Python programs are generally expected to run slower than Java programs, but they also take much less time to develop. For these reasons, Python is much better suited as a “glue” language, while Java is better characterized as a low-level implementation language. In fact, the two together make an excellent combination.

    Modern Roots of Python

  • Less Code, Less Time, Less Money
  • Utilized by World Leaders
  • Legitimized & Approved by Scientists

3. Which OS is best for machine learning?

There is no conflict that Linux is a better option than Windows for programmers.

Linux Operating System Advantages

  • Speed
  • Software
  • Flexibility
  • Free Applications
  • Presentation & Worksheet
  • Job Demand

Frankly speaking, it is not the OS that matters for efficient work in machine learning or data science, but the tools and the environment that an OS provides for the work of a data scientist. A good OS will have a better number of tools.

4. Is python necessary to learn machine learning?

Yes it’s necessary. You want to learn machine learning means you want to play with different types of data, models, validations, optimizing hyper-parameters, visualize what’s happening inside the algorithms, vectorize your variables, etc. You can only learn the concepts of machine learning without Python or any other language but to implement those concepts you need to learn at least one language and Python is Best for beginners.

5. Why is Python preferred over Java while implementing and running machine learning programs

Programming Languages are a fundamental part of computer science, they are fundamental tools in a programmer’s toolbox and crucial to almost every programming activity. Python and Java have been battling for the top position on the most popular programming languages out there, with Python making amazing progress in the last few years and Java holding onto its position.

Conclusion:

Presently, the Machine Learning algorithm is turning into very difficult. Python programming language is simple to implement and therefore becoming developers 1st choice for implementing machine learning algorithms. The line of codes is shorter in Python because developers feel it is an easy and easy way of coding. Also, Python programming language has various inbuilt libraries that make the machine learning projects much innovative. If the candidate isn’t much experienced in Python programming language, then it’s suggested to hire Python development companies that offer help in carrying out the machine learning project in Python successfully.