Have you wondered why big shots like Intel, IBM, NASA, Pixar, Netflix, Facebook, JP Morgan Chase, and Spotify, vouch for Python? Firstly it is one of the leading programming languages. Apart from that, the tech was developed by Guido van Rossum back in the year 1991. It was an open-source, free-to-use object-oriented programming language featuring simple and clean syntax.
Over a few years, there has been a thread that repeatedly keeps meeting my eye. It says how to successfully crack Python interview questions and answers.
What are the best practices to follow if you want to aspire to become a successful Python developer? But before that let us take a bit of a detour and find out why more and more people are trending towards Python and even after 30+ years, why it still holds the position of the best programming languages across the globe.
The programming language has been around for more than 3 decades and many more to come. So without further delay, let’s dive into the brief history of Python.
Introducing Python
As we all know it is one of the leading programming languages found across the globe. And not just any, this one is a high-level well-interpreted programming language featuring simple syntax that assures seamless readability and extremely user as well as beginner-friendly purpose.
Python came into existence because of Guido Van Rossum, he desired to come up with a programming language that was simple to use and beautiful to look at.
Slowly and steadily, the language seems to have widespread applicability among different industry verticals such as mobile app developers, web developers, data scientists, researchers, and a lot more.
Python
print(“Hello world.”)
Java
public class HelloWorld {
public static void main (String[]args) {
System.out.println.(“Hello world”);
}
}
Can you see the difference? In addition, Python is a general-purpose language which means it is highly recommended for developing a wide range of applications. And not just that, Python is also considered for automating tasks, developing websites or software, and analyzing data to a great extent.
- It is easy to read
- It works wonders when it comes to performance
- It is an open-source
- It is a cross-platform language
- It has a broad standard library
- It is more productive
- An active and large community of users
- It has a high corporate demand
- It has become a go-to language in academic scenarios such as solving different equations, performing statistical analyses, simulating and tracking particle diffusion, and more.
Above all, Python was the third most demanded language in 2022 by recruiters worldwide. So where and when exactly Python can be used?
● For conducting web and software development projects
Python is one of the leading and most popular languages which is highly recommended for conducting web and software development projects. Here it is possible to create complex, multi-protocol applications while maintaining concise, readable syntax. You can google yourself and find out how many applications are developed using Python.
Not just that, the programming language features an open-source community that offers developers an extensive amount of reusable code, frameworks, and support. Django is one of the best or top-rated Python frameworks which is designed by experienced developers to assist others in accelerating their application development projects by rectifying issues well in advance which could block their progress.
● For task automation
Another better way of considering Python is task automation. It has a sincere ability to automate manual, repetitive tasks. It may quite interest you to know that Python enables one to automate anything by using built-in modules or pre-written code from its robust library. At the same time, it is possible to write your custom scripts to perform specific actions. For example, it is now possible to automate emails with the “smtplib” module or copy files with the “shutil” module.
In addition, the programming language comprises a robust set of testing frameworks which makes it one of the excellent languages to consider for test automation. Frameworks such as Pytest, Behave, and Robot enable developers to write simple yet effective tests to ensure the quality of their builds.
● For machine learning and data science
The next excellent use of Python is considered for machine learning and data-science-based projects. As we know Python is the top preferred language considered for data science and research purposes. As mentioned earlier, Python’s syntax is completely easy to understand and adapt so even professionals with little-to-no development experience can easily learn Python and use it to manipulate data for research, reporting, predictable or regression analyses, and more.
In such cases, collecting and parsing data can be way more time-consuming, especially for data scientists. No wonder this is one of the top languages to consider for training machine learning (ML) models. You see specific algorithms, these models can be analyzed and different patterns can be identified within the data to ensure to come up with predictions or decisions based on that data.
These keep on evolving constantly based on outputs of previous datasets just to confront new variables. Data scientists and developers training ML models often utilize libraries, such as NumPy, Pandas, and Matplotlib, to automate functions like cleaning, data transformation, and visualization.
● For financial analysis
Much like the fact that Python can work wonders with data scientists with the heavy lifting of large data sets, the programming language is widely used within the financial industry to perform quickly, especially in regards to performing some of the most complex computations. Stock market tends to generate large and large amounts of data and Python is highly recommended for importing data on stock prices and generating relevant strategies via algorithms to identify a wide range of trading opportunities.
These days python is highly recommended for portfolio optimization, risk management, financial modeling and visualization, cryptocurrency analysis, and even fraud detection.
● For artificial intelligence
Python interestingly can be encountered in some of the most complex, artificial intelligence technologies. It turns out to be one of the most preferred languages for AI. Python’s concise and readable code allows developers to create consistent, reliable systems, and its vast library.
Some of its best frameworks include Pybrain which offers developers to come up with power-packed algorithms especially to conduct a wide range of successful machine learning tasks. In addition, Python’s visualization capabilities can help convert these large datasets for AI or ML into comprehensible graphs or reports. Interestingly enough, OpenAI, the artificial intelligence research lab, utilises the Python framework, Pytorch, as its standard framework for deep learning, which trains its AI systems.
So whether you are conducting a web or a software development project, automating tasks, machine learning and data science, financial analysis, or artificial intelligence, Python can be used for anything and at any point in time.
Why Should You Pick Python as Your Career Choice?
- High demand for Python developers – the demand for Python developers keeps on increasing now and then. The growing demand itself shows how stable the current market is and what kind of opportunities might be lined up for you.
- Competitive Salaries – Now this one can be an eye-opener, you see Python developers are pretty much compensated for their skills. As mentioned above, Python is highly recommended for work in complex fields such as data science and machine learning. And if you have specialized here, it is possible to expect higher salaries.
- Active, large, and thriving community – This is given, that Python comprises a wide range of vast and active communities, which means several resources such as libraries, frameworks, and tools are continually being developed and improved. This supportive community also makes it easier to learn and solve problems together.
- Growth opportunities – Learning Python opens the door to mastering different ranges of technologies and programming languages. You see all the foundation skills you gain can successfully switch you into the roles of such as data scientist, machine learning engineer, or cybersecurity expert.
Who is a Python Developer?
A Python developer is a professional person who is highly responsible for designing, coding, and deploying development projects in the Python language. They also require you to work on debugging the same projects just to ensure they are functioning as well as needed.
So as a developer, it is also your responsibility to work closely with other teams for conducting a variety of tasks such as data collection and analysis. You see once you enter Python development, a wide range of job possibilities can be opened. Your roles and responsibilities include:
- Scripting design
- Assistance for automation deployment
- Write reusable, testable, and efficient Python code
- Web frameworks for the new codes
- Data review
- Integrate data storage solutions
- Create integrative systems
- Grazing the interest
- Integrate user-facing elements and understand end-user requirements
- Constructing back-end components to connect
The Right Career Path – How to Become a Python Developer?
- The first and foremost step to take into consideration is learning or getting acquainted with all kinds of Python basics. Try going through all kind