Python is a language which opens up the doors to the programming world.
The world has experienced rapid pace of technological advancements and an exponentially growing community in recent times. This is majorly with interests centered around data science, machine learning, AI, web dev and more.
Hence, there is a rapid need for professionals and enthusiasts to upskill and learn a programming language to keep pace.
Python is a language which opens up the doors to the programming world. A recent Stack Overflow survey reported that it has overtaken Traditional programming languages like Java, C, C++ to emerge as one of the most sought-after certifications.
It is easy to learn, effective, scalable. Most big companies like Google, IBM etc. run on it. And it is also great for small prototypes.
With that being said, I’ll list 9 reasons why you should start learning Python today:
Python is Easy!
Python was developed with the aim to get rid of complexity, keeping only the necessary parts. Its syntax is characterized by its few rules. For new coders, the simplicity of python due to its resemblance to the English language contributes to its ease of use and approachability.
Python is an interpreted programming language. This is unlike compiled languages like Java, where new users have to sift through all necessary syntax before they can perform their first task.
With Python’s efficient syntax, you can run each line of code as soon as you finish writing it. This is especially great for new programmers. You get instant feedback. You don’t have to finish the compilation before finding out you forgot a character somewhere.
Python is Portable and Extensible
It is considered one of the most portable and extensible languages. which means that any code written in Python can be run on other non-native platforms. Like Windows, Linux, Macintosh, Solaris etc. This allows developers to perform cross-language operations seamlessly.
Its extensibility means that not only can you integrate it with Java and .net components. You can use it to invoke C/C++ libraries too, allowing you to make cross-platform suitable applications.
Extensively Used in Data Science
Whether it is IT, Marketing or Academic Research, every field depends on data analytics to drive their operations. For years, data scientists were using MATLAB for scientific research. It all started to change with the release of Python libraries like NumPy, Pandas, Seaborn, Mathplotlib and others.
NumPy contains libraries that incorporates high-level mathematical functions operating on multi-dimensional arrays and matrices. It offers support for random number crunching, linear algebra, etc.
Mathplotlib and Seaborn are used to deal with tabular and statistical data. With these data visualization frameworks, you can visualize your findings through options like graphs, pie charts, graphical plots, web-ready interactive plots, and much more.
Python has Vast Libraries
It has the largest array of useful libraries. It is supported by PyPI which has over 85,000+ scripts and modules, with the choicest assortment of libraries that are accessible to the user. These libraries provide pre-packaged functionality to users in their local Python environment.
It can solve problems fro diverse fields as data analytics to web services. It has NumPy, SciPy, Tkinter, Matplotlib, Pandas, Pygame, and so much more.
Supports Testing Frameworks
Python is an excellent tool for established companies to validate products and ideas by established companies. It comes with many libraries specialized for testing frameworks that deal with debugging and rapid workflows.
Tools like Selenium and Splinter work to make things easier. Frameworks like PyTester and Robot are used for easier cross-platform and cross-border testing.
Python Supports Scripting & Automation
While Python is primarily a programming language it can be used for scripting too! Scripting languages are different from programming languages. They do not require any compilation, they are directly interpreted.
Since Python is also an interpreted programming language, you can write the script and directly execute it. In scripting:
- The code must be written in the form of script to get executed
- The machine will read and interpret the coded
- Any Error checking is done during Runtime
After the developer confirms the code is checked, it can be run or used several times. Thus, providing you with the opportunity to automate certain tasks in the program.
Backed by An Active Community
The greatest tool for a new programmer is the existence of an active support community that you can rely on. Python has one of the most robust and active community for any programming language. Any coding or data-science issues are resolved quickly and efficiently.
According to Stack Overflow’s annual developer survey, Python was tagged in over 1,188,566 questions. Due to the open-source nature of the language, users can find third-party package libraries with tools to help them in all kinds of projects.
Python Developers Command High Salaries
Python developers are some of the highest-paid developers in the industry. With special focus to areas like data science, web development and AI. Due to its extensive use and incredibly high demand, the average salaries of developers are as follows:
- Entry-level developer with Python skills is around $77,000
- Senior web developer with Python Skills is around $90,000
- Experienced specialist Data Scientist is around $140,000
Python is Used in Artificial Intelligence
Artificial Intelligence (AI) is the next big thing in the tech world, it is the technology of the future. To make a machine mimic the human brain and have the power to think, analyze and act on decisions.
Python libraries like Keras and TensorFlow bring machine learning functionality, by giving the machine the ability to learn without being explicitly programmed. These and other such libraries are the reason why Python is extensively used in AI instead of other programming languages.
With its ease of use and extensive functionality, Python is the best programming language to learn if you want to keep pace and be relevant in this technological revolution. It can help you grow your career and branch out into new fields.
Abhyank Srinet holds a Masters in Management degree from ESCP Europe & has an Engineering degree with a specialization in Instrumentation & Control.
His interest in the digital landscape motivated him to create an online startup for Masters in Management application consulting (MMiM-Essay). This is focused on spreading quality information about the MiM degree & performing application consulting services for clients.
Abhyank is the chief consultant of the company and takes care of the Business Development and Digital Marketing side of the company. He is very passionate about writing and marketing.