Hello again #HasheFollowers!
What has Hashe done this week? Well, Stay tuned, because #FunTings abound.
What shall we discuss today? Since Python is the topic of the times, let’s dive in everyone.
Why IT Solution Providers trust Python for AI & Machine Learning Projects?
What is Python and why IT solution providers choose to go with it?
IT Solutions Providers like Hashe trust Python as the go-to language for minuscule or gigantic projects. The Language’s rise in the TIOBE Index has been steady, just behind Java and C.
Why do so Many People vouch for Python as the best language for Machine Learning?
Let’s Find out!
Python was developed in the Netherlands as a successor to the ABC Language by Guido van Rossum.
Python is a dynamically typed language as opposed to statically typed languages. Type checking is done at runtime, in contrast, to compile-time in the latter.
Python supports multi programming paradigms as shown in the image below.
Offshore software development utilizes Python’s extensive library to work on Machine Learning and Data Science projects. Python’s Package Index or Cheese shop is the official repository for the library containing more than 200,000 Projects!
Python has two versions. Python 2.0, which is discontinued from January 1st, 2020. Python 3.5x is the other version, which is maintained by the non-profit Python Software Foundation, will be the only available version now.
The Language’s Philosophy is called the Zen of Python which lists the core values.
Python was optimized to work with flexibility. The core functionality of the product is built outside of its center in its libraries.
With Python modular approach, many features could be added as an extension without compromising the existing infrastructure of applications.
Python prides itself on holding onto its singular approach to programming. Avoiding clutter and simplifying processes is why it has a massive developer base and software outsourcing companies love to work with it.
Python’s syntax is beginner-friendly as well as streamlined for speed. Pythonistas can shift the time-critical load to extensions that can compile just-in-time.
What is Python used for?
Applications
Python’s extensive library is used for a variety of applications. To name a few:
Multimedia
Data Crunching
Python Syntax
Python has clean and uncluttered syntax when compared to other languages. It doesn’t use curly brackets to delimit the blocks with maximum use of whitespace.
Indentation plays a vital role in the structure of the code with appropriate lining telling about the flow of the code from start to finish.
A typical Hello World output will be written as
print(‘Hello, World!’)
Industries
Python is used in multiple industries owing to the security that is provided by its sophisticated extensions such as Flask and Django.
Some of the Industries that Utilize Python extensively are:
- Fintech
- Edtech
- Healthtech
- Cybersecurity
Fintech
The image below represents the total market share of the Programming language in the Fintech and Finance sectors.
Fintech sector depends upon Python due to its flexibility and wide range of libraries supporting different categories. Libraries such as sci-kit-learn and NumPy and many more provide safe and scalable options for the future.
Edtech
As the case with Fintech, learning management systems built with Python provide the scalability required for effective communication between teachers and students, schools and colleges.
A lot of startups welcome Python’s ease of use as well as the security functionalities it supports.
Healthtech
Python has integrated well into the health tech industry, connecting patients with doctors without the need for a bureaucratic mess.
Cybersecurity
Cybersecurity is only possible if the language deployed is safe. Cyber experts rely on Python for its readability and adherence to its massive library for resources.
Comparison of Python with other Languages
C and Java
The main difference right off the bat is that C and Java are statically typed languages compared to Python. This means that Python’s applications will be slower compared to C and Java.
C and Java are ranked above Python due to their longevity and swift performance of their apps.
Code length is the greatest factor that enables Python to lead.
A project timeline can be significantly reduced using Python and another approach is to use Python as a glue language sticking component together.
A typical project can be completed faster if done in Python as compared to C and Java.
For a blog on Java Development, click here.
Javascript
Python and Javascript share common dynamic typing. Python is considered better than Javascript due to better code readability and reuse.
Programs written in Javascript are restrained to classes and functions. They are limited in scope but in Python, we can write large programs that scale better.
Python has better depth when it comes to object-oriented programming compared to Javascript.
PHP
Python and PHP are two very different languages and a direct comparison between them doesn’t make sense.
From syntax to typescript, PHP code readability is low compared to Python. Both languages are great in retrospect and the difference varies depending on the needs of the project.
If the project is simple web development, PHP is the way to go. If the project needs to be scalable and adapted to machine learning or data analytics, Python has its way over PHP.
Development Environment and Distribution
Implementations of Python always include a command shell in which we can code in sequence and get the results immediately.
Other command prompts such as IDLE and IPython add further functionality such as syntax highlighting and auto-completion.
A distribution such as Anaconda and PyCharm includes Integrated Development Environment in which scientific and web-based development can be done.
Use of Python at Facebook, Amazon and Google?
Engineers at Facebook use Python extensively to handle libraries and it acts as a glue language to hold components built in C++ and PHP.
Python usage at Facebook accounts for 21% of all code written.
Some of the problems Python engineers solve at Facebook are:
- Checking of servers
- Using Dapper to schedule Maintenance of servers
- Network switching and diagnostics
Python is involved in the algorithms for Machine Learning and AI that facebook deploys. From friend recommendations to shifting the infrastructure of Instagram. Facebook owes to Python for a lot of its functionalities.
Amazon
Amazon utilizes its big data to recommends products to its users and the whole architecture of AI is laid upon Python.
It is used in conjunction with Hadoop and Apache Spark to manage clusters of data for data processing and validation.
Python has been an integral part of google’s ecosystem. It is recognized as an official language at Goole after C++ and Java with Google continuously looking for new developers to hire.
Google’s relationship with Python is so deeply rooted in its culture that it hosts multiple conferences such as PYCon and EuroPython.
Youtube uses Python to streamline the content and control views as well as stick all the components together using its massive library.
Conclusion
Building a minimum viable product (MVP) demands speed and finesse. Both of these requirements are easy to fill with Python. With its dynamics structure and flexibility with scaling.
Hashe is proud to bolster competent resources who are willing to produce reusable and efficient code for your needs.
Whether it is utilizing TensorFlow to Scikit-Learn for your Machine Learning/IoT demands or Django/Flask for your Web development requirements.
Hashe will provide you with excellent IT outsourcing opportunities. Feel free to contact us for a quote on your next project.
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Last Modified: April 24, 2024 at 4:51 am
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