In this lesson, you’ll learn how to get Python on your computer by setup up a Python development environment and how to run it.
Environment setup is a combination of hardware and software to execute the programs. It includes setting up the hardware, the operating system, the software, the test terminals, and other tools needed to run the test.
Python is accessible on many operating systems, including Linux and Mac OS X. To get started, You must follow a few steps to set up the Local Environment Setup.
Get a copy of the standard distribution of the Python program from https://www.python.org/downloads based on your operating system, hardware configuration, and local machine version. Let’s examine the basic steps for installing Python on different machines.
Here’s how to install Python on a Windows computer.
Here are the following procedures to install Python on a Linux or UNIX system.
Go to https://www.python.org/downloads/ in your web browser. Follow the link to download the Unix/Linux source code that has been zipped.
run ./configure script make
make install
Here are the following procedures to install Python on a Mac.
Python is already on most new Macs, but it may not be up to date for a few years. See https://www.python.org/download/mac/ for instructions on how to get the latest version and other tools to help with development on a Mac. MacPython can be used on Mac OS versions before Mac OS X 10.3, which came out in 2003.
It is kept up to date by Jack Jansen, and you can find all the documentation on his website at https://www.cwi.nl/jack/macpython.html. You can find all the information you need to install Mac OS.
Operating systems feature a search path that instructs the OS to seek executable files since programs and executable files can be in numerous directories. The path is kept in an environment variable, a named string that the operating system keeps track of. This variable holds information that other programs and the command shell can use.
In Unix, the path variable is called PATH, and in Windows, it is called Path (Unix is case-sensitive; Windows is not). In Mac OS, the path is Programs, and other executable files can be in many directories, so operating systems have a search path taken care of by the installer. You must add the Python directory to your path to use the Python interpreter from any directory.
To add Python’s directory to the path for a specific Unix session.
To add the Python directory to the path for a specific Windows session, do one of the following:
You can start Python in three different ways.
You can start Python from Unix, DOS, or any other system with a command-line interpreter or shell window. In the interactive interpreter, you can start writing code right away.
$python # Unix/Linux
or
python% # Unix/Linux
or
C:> python # Windows/DOS
You can run a Python script from the command line by calling the interpreter on your application like this:
$python script.py # Unix/Linux
or
python% script.py # Unix/Linux
or
C:>python script.py # Windows/DOS
Run Python Script from the IDE
A code editor is a tool for writing and changing code, and they are usually easy to carry and can help you learn. You can also run Python in a Graphical User Interface (GUI) environment if your system has a GUI program that supports Python. However, you’ll need to test and optimize your code as your application matures, and that’s where Python-integrated development environments (IDEs) come in.
IDEs make programmers more productive by adding the ability to edit source code, build executables, and find bugs.
The problem with IDEs is that they can be hard to use. A text editor doesn’t understand your code better than an IDE (Integrated Development Environment). IDE usually has automated build, code indentation, testing, and debugging, which can help you get your work done much faster. Below, famous IDE for Unix, Linux, Windows, and Mac are given.
Let’s look at a few of the most essential parts of an IDE:
1. Emphasis on syntax
If your IDE knows the syntax of your language, it can give you visual cues and keywords that make the syntax easier to read.
2. Autocomplete IDEs
IDEs are usually very good at guessing what you will type next, which makes coding much faster and easier.
3. Building Executables IDE
IDE handles interpreting the Python code, running Python scripts, building executables, and debugging the applications.
4. Debugging
IDEs have debugging tools that make it easy for programmers to find mistakes in their code when a program doesn’t run right.
We’ll look at a few of the most well-known Python IDEs now that you understand an IDE. Note that we won’t rank these IDEs just for fun because we think that different IDEs are made for different features.
Ensure the Python environment is set up correctly and running well. Many websites have already set up a Python programming environment online, so you can try out all the examples while learning the theory. You are welcome to change any example and use it online.