Today, machine learning has become an essential part of every system. It immensely helps computer tasks to be performed without the help of any sort of programming.
Let’s take an example, Search engines like Google or Social media platforms like Facebook or LinkedIn, all of which have machine learning algorithms integrated into their system in one or the other form.
This efficiently helps them utilise the data collected from different platforms to get a clear picture of what is happening and what they should do.
Machine Learning is simply the application of Artificial Intelligence that gives easy access to data to machines that enable them to maintain the data by themselves.
18Pixels is a software development company in Lucknow that also deals in machine learning for Advanced Web Solutions and artificial intelligence services to help businesses boost their growth and become game changers.
We use machine learning in websites and mobile apps developing for various applications. Machine learning, cognitive computing, automatic analysis, and image and speech recognition are all involved.
Programming languages like Python have proven to be excellent for Machine Learning. It is a high-level programming language widely used in machine learning as it is simple to learn compared to languages like C, C++, and java.
Additionally, it is an open-source, interactive, object-oriented, high-level programming language. Though it is slower than some other languages, its data handling capacity is great, and also can interact with almost all third-party languages.
What is Python?
Python is an interactive, interpreted, object-oriented programming language. It incorporates modules, dynamic typing, exceptions, high-level dynamic data types, and classes.
Programming paradigms other than object-oriented programming are supported, such as procedural and functional programming. Python combines remarkable power with syntax. It has interfaces to many systems calls and libraries, as well as various window systems, and is extensible in C or C++.
An extension language can also be used for applications requiring programmable interfaces. Furthermore, Python runs on a variety of Unix variants, Linux, macOS, and Windows operating systems.
Python is a popular programming language. It was developed by Guido van Rossum and released in 1991. It is used for:
- software development,
- web development (server-side),
- mathematics,
- system scripting.
What can Python do?
- Create web applications.
- Create workflows.
- Python can connect to database systems. In addition to reading and writing files, it can also perform operations on them.
- Handle big data and perform complex mathematics.
- Rapid prototyping or production-ready software development.
Why Python?
- Python works on different platforms (Which include: Mac, Linux, Windows, and Raspberry Pi).
- Similar to English, Python has a simple syntax.
- Programmers can write Python programs in fewer lines than in other programming languages due to their syntax.
- In Python, code can be executed immediately after it has been written since it runs on an interpreter system. As a result, prototyping can be done quickly.
- The Python programming language can be dealt with procedurally, object-oriented, or functionally.
Features of Python Used in Machine Learning
1. Platform independence
It is one of the most important features that allow developers to implement changes on one machine and implement them on another machine with minimal or no change. Because Python is a platform-independent language, it can be run on a variety of platforms such as Linux, Windows, and Mac OS X. Python machine learning software can also be run without an interpreter on those platforms.
2. Extensive selection of libraries and frameworks
The implementation of machine learning algorithms can be challenging and time-consuming. Hence it is essential to have a well-structured and well-tested environment to enable developers to come up with the best coding solutions. There are several Python frameworks and libraries are used by programmers to reduce development time.
3. Simple and consistent
With Python, you can write code that is easy to read and offers consistency. Python’s simplicity allows developers to write reliable systems while machine learning and AI use complex algorithms and versatile workflows. Python is a language that is easy to use and easy to learn. That is one reason why it has now attracted the majority of developers.
Advantages and Disadvantage Of Python
| Advantages | Disadvantages |
| Easy to learn and use. Also, it has an extensive library. | Because of its elementary programming, users face difficulty while working with any other programming language. |
| Increases productivity. | Python is a time-consuming language. Slow execution speed. |
| Very Flexible | There are many issues with the design of the language which only gets displayed during the runtime. |
| It has a very supportive community. | It is not suited for mobile applications and memory-intensive programs. |
Conclusion
Data scientists and programmers are not the only ones who can use Python. Learning Python can open new possibilities for those in less data-heavy professions, like small business owners, journalists, or social media marketers. Python can also enable non-programmers to simplify some tasks in their lives. Python can automate the following tasks:
- Stay up-to-date on the stock market or cryptocurrency market
- Every time it rains, text yourself a reminder to carry an umbrella
- Update your grocery shopping list
- Renaming large batches of files
- Converting text files to spreadsheets
- Randomly assign chores to family members
- Fill out online forms automatically
