WHY CHOOSE PYTHON AS A CAREER?

 Technology is changing at an incredible rate. They are decreasing and increasing. However, the popularity of Python programming language seems unassailable.

It is evident that the popularity will continue to grow and Python's growth in this age technology will not slow down.

Python could be considered a language which can reduce the need to use other languages. Additionally, Python careers are highly regarded.

Python is a language that is growing rapidly. Since its inception, the success graph for Python's development has grown exponentially.

This The The graph shows how future potential for Python will continue to rise to new heights.

It is clear that Python programming skills are one of the most desired abilities in the world of programming . Python can help an individual's career advancement.

Surveys show that Python is an intuitive programming language. It is easy to learn and speeds up development.

Python is an free-source language that is part of the support for a large group. Python can be or involved directly in all, thus opening new employment opportunities at a surprising speed. It is one of the most popular programming languages in the field of data science.

Python is used in many emerging fields, including large-scale, Web development as a well as artificial Intelligence, Machine Learning, and many more.

The whole world is eager to learn these technologies. Python could also be the promising future within these fields of technology. Python is a great programming language to get into. It is a "MUST programming language which can lead to a rewarding career.

Trends in Python Developer Jobs:

The rise in popularity is directly proportional with the increase in job market. All over the globe, Python developers are highly sought after. Indeed currently has 69K open positions for Python developers in August 2019. The most jobs for Python Developers are posted in NY, followed closely by Chicago and San Francisco.

Average Python Developer Salary:

Other factors that affect the salaries of Python developers include location, experience, skillset and other factors.

Experience:

Based on experience, the pay scale will vary. An entry-level Indian developer can earn as little as 2.4L per annum. However, the exact amount depends on the company and the skills of the developer. According to PayScale's June 2019 survey, an entry-level Python developer makes about Rs500K in India and $88,K in America.

     

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These are the main features and applications that Python has inspired more people to learn it and get certified.

1. Data Science: Python is the preferred programming languages for data scientists. Every job, whether IT ops, marketing or software development, relies on data to support their operations. Python gained prominence with the release of _ Numpy_ and _ Pandas. Python can also handle statistical, tabular, and matrix data. It also visualizes it using libraries like "Matplotlib" and "Seaborn".
In the data science field, job openings for Python are outnumbered by all other jobs. This shows that Python skills can be used to develop your analytical skills.

2. Python is easy to learn: It's a simple language to master. Its close resemblance with the English language is what makes it so easy to learn. The syntax of Python is very simple and has few special cases. It is safe to say that Python's syntax is focused on what you do with the code and not on the language details. Anyone can learn Python. A beginner can create a simple game with python in a matter of days. This programming language's efficiency and readability are another attractive feature.

3. Cross-Platform and Open Source - It has been over 20 years since this language was cross-platform and open-source. Python code can be used on any platform, Linux or Windows. A remarkable aspect of Python is its support by decades worth of bug-squashing, kink-straightening that ensures that the code runs as intended every time it's run.

4. A versatile language and platform: Python is still very relevant today. It can be used in all operations scenarios and software development.

5. Vast Libraries: PyPI has over 85,000 Python scripts and modules that can be accessed by the user. These modules offer prepackaged functionality that can be used in their local Python environment. This module can be used to solve many problems, such as advanced data analytics such as sentiment analysis or developing REStful Web Services.

6. Flexibility: Python can be integrated with other programming languages to create powerful applications. These applications are described in detail below:

• IronPython is compatible with.Net as well as C#
• A version with : Cpython
• RubyPython is Python and Ruby combined: RubyPython
• Jython integrates Python with Java
• Python with Objective C toolkits: PythonObjc

7. High Salary: Python engineers are paid a higher salary than other professionals in the field. A Python developer in the United States earns an average $116.028 per one-year.

8. Scripting and automation: Most people don't realize that Python can also be used as an automated scripting language. Scripting is where the code is written in script format and executed. The machine reads and interprets the code and checks for errors during execution. Once the code has been checked, it is possible to use it many times. Automation can also be used to automate certain tasks.

9. Artificial Intelligence: Artificial intelligence is the future of IT. Python libraries like Keras or TensorFlow enable machine learning functionality. OpenCV libraries aid in image recognition and computer vision.

10. Computer Graphics: Python is a programming language that can be used in small, medium, and large projects online as well as offline. It can be used to create GUI and desktop apps. Its "Tkinter" library allows for easy and fast application development. This programming language can also be used for game development. The logic is written using a module or 'pygame' that can be run on Android devices.

11. Testing Framework: This language can be used to validate products and ideas in established businesses. There are many built-in Python testing frameworks for debugging and quick workflows. Its modules and tools, such as Selenium or Splinter, make it easier. Python supports cross-browser and cross-platform testing using frameworks such as PyTest or Robot.

12. Web Development: Python has many frameworks that support website development. There are many frameworks available in Python for building websites. The most popular frameworks, such as Django and Flask,, Pylons, are known for their faster and more stable code. This is because they were written in Python. Python allows users to perform web scraping, which is the process of extracting information from other websites.

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