Unlocking the Power of Python: Why It's a Go-To Language for Data Engineers and Developers

Learn why Python is the go-to language for Data Engineers and Developers. From its ease of installation to its vast range of libraries and frameworks, Python is an ideal language for building applications and performing data analysis.

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Why Python is the Go-To Language for Data Engineers and Developers

Python has become one of the most popular programming languages of the 21st century. It is being used for multiple purposes in various sectors of business. Developers use Python for building applications and developing websites. Data Engineers use Python for performing data analysis, statistical analysis, and building machine learning models.

Figure 1: Python is widely used for data analysis and machine learning.

One of the main reasons why Python is preferred by Data Engineers and Developers is because it is not installed by default on most operating systems, including Windows. This allows developers to have full control over the version of Python they want to use.

To download Python, you need to visit the official Python website, www.python.org. From there, you can select the Windows option and download the executable file. Once the download is complete, you can open it to install Python.

Figure 2: Downloading Python from the official website.

During the installation process, you can choose to customize the installation or continue with the default settings. Make sure to select the checkbox at the bottom to Add Python 3.7 to PATH.

Once the installation is complete, you need to verify that everything is working fine. Go to Start and search for Python. You can see Python 3.7 (64-bit) and IDLE. Let’s open IDLE, which is the short form for Integrated Development Environment, and run a simple print statement.

Figure 3: Running a simple print statement in IDLE.

As you can see, we have successfully printed “Hello World” in Python Shell. Using the Python Shell, you can write one line of code and execute it by pressing Enter.

Python also has a command-line interpreter that works similarly to Python IDLE. Let’s print “Hello world” in the command-line.

Figure 4: Running a simple print statement in the command-line.

In conclusion, Python is a versatile language that is widely used by Data Engineers and Developers. Its ease of installation and use makes it a popular choice for many. With its vast range of libraries and frameworks, Python is an ideal language for building applications, performing data analysis, and building machine learning models.