Why learn python

It can be used for developing GUI and desktop applications as well. Yes, Python is not just a programming language — it can be used for scripting too! In Python, you can write code in the script from and directly execute it. The machine will read and interpret your code and also perform error checking during runtime itself. Once the code is error-free, you can use it multiple times. The Linux Journal hails Python as the best programming and scripting language.

Python boasts of a dynamic and well-knit community that you can rely on. In case of any coding-related or Data Science issues, you can always seek help from the Python community. They are ever-ready to help people. Since it is an open-source language, everyday new progress is being made in the community — developers and coders regularly contribute to enriching the language by developing new tools and libraries.

Learn why Python is so popular among developers. If you have Python skills, you can command high salaries in the industry. Since Python rules the development and Data Science fields at present, it promises a high growth graph with huge salary prospects. Python has emerged as the number one programming language in the industry, and if not now, then when to take advantage of this? Why do people like using Python?

Python is one of the most commonly used languages, and among its many applications are data mining, AI, web development, embedded systems, and many others. Data analysis and machine learning tools have advanced significantly in recent years thanks to new Python packages. Additionally, there are packages like numpy and pandas that make data comprehension and transformation possible.

There is also pyspark, which serves as an API for working with Spark, a framework that makes it easy to work with big data sets.

Python is a popular choice for doing rapid prototypes, which means it's utilised by start-ups to quickly create their initial minimum viable product MVP. Python is one of the most highly scalable languages and is therefore used by many of the world's largest and most advanced businesses.

Netflix recently described how they used Python in a variety of systems, from their CDN to their monitoring systems. Python programming, which goes hand-in-hand with rapid growth, is in demand for jobs. Python is predicted to be the second most sought-after programming language of , according to job listings found on LinkedIn.

Python and Java are the most popular and reliable programming languages, both of which have millions of users. Python's speed and efficiency are behind Java's because it is an interpreted language. Python is a simpler, more concise language than Java, because it is an interpreted language.

It has the same capabilities as Java but is more concise. In these short few years, we saw disruption moving rapidly, bringing insurmountable change to every industry it set foot in. What could be automated is now automated. What was once in pen and paper, can now be recorded seamlessly on an app. Today, people are looking beyond just another app. People are looking for more intelligence and more efficiency in decision making.

If you want to learn programming, it is time to start. But beyond that, you need to understand how you will need to prepare for tomorrow. There are many reason to why you would want to learn coding. You can, of course, start with other languages besides Python. For this article however, I want to make a case for Python. Why learn Python, what you can do with it and why it will help you secure a better future. According to Tiobe Index , Python is now the top 3 programming language amongst professional software developers.

On Stack Overflow the sacred site for all developers around the world , Python has risen in ranks and is considered the most wanted language to be learned. But why does popularity matter? The language will be used more often and more job opportunities will follow. To learn Python now would mean that you are ready for the job market when the demand for developers who know Python increases.

People often ask if Python will overtake Java one day, well, time would tell. Many existing tools and software still use Java and often it is not easy to migrate.

These days, more new software is using new languages to build, such as Python. As the use case of Python grows, you would see Python go up the ranks.

Here is a brief history of Python which you can check out! Language popularity is often tied to a few factors. Aside from use cases, another reason is how easy the language is to pick up and learn. Python fulfils both criteria. It can be used for a lot of things and it is relatively easy to learn. Python is built to be simple, understandable and readable. It even has a list of aphorisms that spell out its core philosophy!

For me, one added advantage that Python has is its compulsory use of whitespaces indentation which is used to denote blocks.

For example:. For other languages, that whitespace remains best practice, rather than compulsory. Thus, many newbie developers do not like adhering to that …such code does not deserve to be shipped and deployed! But with Python, it matters. Do it wrongly, and you will alter the meaning of the relationship between the lines of code.

This forces developers to implement this best practice. Thank you Python! There are 2 parts to learning to code: learning the syntax and learning how to use the syntax to write instructions to the computer. Keep in mind that, the easier the syntax, the easier for you to start learning how to code. Only after you build your thought processes on how to write instructions with code, you can easily switch to a different language of your choice.

When it comes to learning something new, what you need is good support. The bigger the community, the more use cases there will be. It also means that the language will continue evolving to be better. Python has a diverse community. Aside from developers who use Python for apps and scripting purposes, it has ties with the world of academia. Python is being used increasingly for research papers mainly on math, stats, data science, machine learning, AI.

This is because it is able to give researchers more access to functionalities. At the same time, it is free to use even for commercial purposes.

Regardless, you might be wondering what allows Python to be such a versatile programming language? A lot of it has to do with the various frameworks and libraries that have been built for Python. Libraries are collections of functions and methods reusable and executable code with specific intents; and frameworks more or less are collections of libraries.

If you ask any Python developer, they can name at least a half-dozen libraries they use. For example, I often use NumPy, Pandas, and Scikit-learn — the holy trinity for data scientists — to perform math and scientific operations, manipulate and analyze data, and build and train models, respectively. Many Python-based web developers will name Django as one of their preferred frameworks for building web applications.

Many people learn to program to enhance their current capability; others to change their careers. I started off as one of the former but became the latter.

Before data science, I built digital ad campaigns and a lot of my work was automatable. Although I eventually learned how, in the process of learning Python for my work, I was presented with different job opportunities where I could use Python, and learned about different companies who were looking for people experienced in Python.

And so I made a switch. There are a lot of Python-related roles in prominent industries. According to ActiveState , the industries with the most need for Python are insurance, retail banking, aerospace, finance, business services, hardware, healthcare, consulting services, info-tech think: Google , and software development.

From my own experience, I would add media, marketing, and advertising to that list. Why so many? As these industries modernized, companies within them have been collecting and using data at an increasing rate. Their data needs have become more varied and sophisticated, and in turn, their need for people capable of managing, analyzing, and operationalizing data has increased.

A lot of top tech companies value Python programmers.