In today’s world python is one of the high-level programming languages. There are a number of reasons that are applicable to learning the Python language. This language is easy and simple to learn. Because of this reason many IT professionals are willing to start their careers as a python programmer.
Many companies are developing their projects based on the python programming language. This language is used in various fields such as artificial intelligence, data science, and machine language. Even various factors are applicable for considering python as a powerful language and many youngsters and professionals prefer choosing python developers as their career. Here comes some of the important application and features why an individual should learn the python programming language
Features of python language
Easy and simple to learn
Python is a simple computer language you can able to learn easily. This language is more powerful all over the world. This prompts the IT professionals are showing interest in learning python language. Python is an open-source, high-level, interpreter, and free programming language.
- As compared to other programming languages like C, C++, etc, it is not necessary to write complex syntax in python.
- Because of the python language’s simplicity, it is much suitable for beginners.
Extensible and portable
Cross languages are perfectly done in python languages because it has extensible and portable features in it. Python languages are suitable for a wide variety of platforms like Linux, MS Windows, Macintosh, Solaris, and play stations. The extensibility function in python will allow you to integrate other programming languages like .NET and java. Even the library’s function of C and C++ can be used in python language.
Integrated by nature
The python languages are integrated by nature. This means the codes are executed one line at a time. Unlike other object-oriented programming languages, python will not compile their code. The debugging process occurs in python languages in an easier and efficient way. During execution time in python, the codes are immediately converted into an intermediate form known as byte code. It makes the execution process simple and saves the runtime in the long run.
Open source and free
Python is the open-source language that means any coder can create python programs and develop their projects. Multiple online free fora are available where it helps the python developers to improve their programming skills. Python software can be downloaded free of cost and can be used in an operating system like Mac, Linux, or Windows.
Support for GUI
In every programming language, the graphical user interface is the key aspect since it can flare up the code and make them look more visual. In python language, it provides greater support for the array of GUI. So that the language can be easily imported to the interpreter. This makes language a more favorable one for beginners.
An extensive array of libraries
Python is developed by a larger number of inbuilt library files, you can use the library files at any instance and even it can be used in a specific program. With the help of library files, you no need to write the code by yourself, and you can import them directly from the library into your code.
Highly dynamic
It is one of the dynamic languages. While writing the code you need not have to specify the data types for the values, it automatically takes up the suitable data types.
The above features make python languages more powerful, if you want to know more about python language learn python the hard way. It explains the objectives used in python languages such as the data types, oops concepts, and also about the frameworks.
Job opportunities related to the python language
Python programming has been a route path for several professionals to find meaningful work. Python languages have created several job opportunities around the world. Here comes some of the different types of python jobs
Data Analyst
By learning python languages, you will be eligible for a data analyst role. The role of a data analyst is to deliver the values to their companies. In a complex data set, data analysts should analyze, interpret, and identify the data. They need to follow up on the delivery and report productions. While designing and maintaining the data system, the analyst has to correct the coding errors and should solve other problems.
Skills required for data Analysts’
- Basic knowledge of programming with Oracle, SQL, SPSS, visual basic, or SAS is required.
- Gaining knowledge in excel, MS word. Outlook, Access, and PowerPoint will be very helpful.
- Basic knowledge of meridian and oracle is like an additional advantage.
- A data analyst should have excellent verbal and written communication and presentation skills are required.
Machine learning engineer
The role of a machine learning engineer is to build a machine that imitates the human brain which is capable of making a decision, think, and analyze. For each problem, machine learning engineers produce a tailor-made solution. These programmers are sophisticated programmers to develop machines and systems. The engineer will analyze the MI algorithms, solve all the problems in the machine, and rank them by their success probability. Develops machine learning applications as per the requirements. Using test results, it performs statistical analysis and fine-tuning.
Skills required for machine learning engineer
- Should have a deep understanding of frameworks such as Keras or Tensorflow.
- Excellence skills in python programming language and basic machine learning libraries such as pandas and Scikit-learn knowledge are required.
- You must have good communication skills and the ability to play a team role.
To know more about the job role, learn python the hard way free, it gives complete guidelines about the python programming. By learning it you are able to achieve success in your field. There are various fields that take up the python languages as their bases such as artificial intelligence, big data, and data scientists.
Bottom-line
With all the above features and job opportunities, you can start up your career in a successful way. By learning python the hard way, you enrich your knowledge of python programming. If you want to be a successful IT professional also upgrade yourself to new technology.