Python coding platform
Python is a popular general-purpose programming language with many applications. High-level data structures, datatypes, dynamic binding, and many other features make it useful for both designing complex applications and "glue programming" that connects components. It may also be improved to run C or C++ code and call system functions on almost any operating system. Python is a widely used language that can be utilised in a wide range of applications and is available for practically any system architecture.
Coding platform for Python
A text editor cannot be as good at understanding your code as an IDE (Integrated Development Environment). Typically, it offers functions like test automation, code correction, builds automation, and diagnostics. Your work may be considerably expedited as a result. The drawback of IDEs is that they might be challenging to use.
An IDE (Integrated Development Environment) is the platform supporter who helps write and debug the code.
You have many platforms available for coding in the python programming language. Some of the common platforms used are as mentioned below:
- Online compilers for python programming language
- IDLE
- Sublime Text
- Atom
- Thonny
- Pycharm
- Visual studio code
- Vim
- Spyder
- Jupyter notebook
You also have many other platforms for coding in the python programming language. Choosing the platform, you should code is entirely your choice, and you can select the forum you’re comfortable with.
1) Online compilers for python programming language
Online compilers are mainly used as they can be used from anywhere in the world through the internet, and we can save our code into the local system from the online compiler. Hence, most beginner and pro programmers use these online compilers as they have flex to use on any machine.
You have many online compilers available for coding in a python programming language which is available for free, and you can access them from anywhere in the world through the internet, and most of these online compilers for python programming are user-friendly and comes up with a simple interactive GUI.
Some of the online compilers available for python programming are listed below:
- Online Compiler from Programiz for Python
- Online GDB compiler for python programming
- Python online compiler from W3Schools
- Online Python 3 IDE - JDoodle
These are some of the most used online compilers, which are beginner friendly and have an interactive GUI with multiple features.
2) IDLE
IDLE is included by default when you install Python. This makes learning Python simple, to begin with. The Python shell window (interactive interpreter), auto-completion, dynamic typing, syntax highlighting, and a simple integrated debugger are some of its key features.
Since IDLE is user-friendly and lightweight, it makes a good IDE for learning. It's not ideal for bigger jobs, though.
Python installations for Windows and Mac include Python IDLE. Because of the package manager, Python IDLE should be easy to find and download if you run Linux.
Mostly every python programmer's first ever used platform for coding in Python would be IDLE as it comes pre-installed while installing the python software. Even at the school level, python programming is taught in this IDLE platform.
Although the IDLE platform does not include many developer options and features for fast coding, it is beginner friendly as it is built with a simple GUI with no complications for writing the code and using the IDLE platform.
3) Sublime Text
Popular code editor Sublime Text supports many languages, including Python. It has a sizable community, is quick, and is very customizable.
When you install it, it comes with essential built-in support for Python. However, software packages can be installed for debugging, auto-completion, code linting, etc. Additionally, there are many packages for scientific development, including Django, Flask, and others. Sublime Text may be customized to provide a fully functional Python development environment for your needs.
Sublime Text is available for download and evaluation at any time. But periodically, a pop-up will appear suggesting that "you need to buy a licence for continuing use."
Sublime text software is available online. You can download it, and many professionals use the sublime code editor, which includes many developer options that help python developers make things faster.
4) ATOM
Atom platform is created by GitHub, ATOM an open-source code editor that may be used for Python development.
Its characteristics are comparable to those of Sublime Text. Atom can be easily customized. Packages can be installed based on your needs. Python developers frequently use tools like autocomplete-python, linter-flake8, and python-debugger in Atom.
Time does not stop for anyone; to keep up with this enormously fast time, we constantly need to upgrade our tools. Software development is one of the primary professions that requires the most resourceful conditions for programmers to write code and effectively produce software. So, an efficient text editor and integrated development environment are needed (Integrated Development Environment). Atom is the most excellent IDE for Python programming language in terms of functionality. Atom is an integrated development environment that is open-source, free, and created specifically with Python coders in mind.
5) Thonny
A Python-specific IDE with Python 3 built-in is called Thonny. You can start writing Python code after installing it since it is open-source software.
Beginners should use Thonny. To make it simple for beginners to get started, the user interface has been kept simple.
Even though it was created with beginners in mind, Thonny has a number of useful features that make it an excellent IDE for full-fledged Python development.It has a debugger, code completion, syntax error highlighting, step-through expression evaluation, and other capabilities.
An integrated Python development environment called Thonny is made for newbies in consideration. It offers numerous ways to step through the program, step-by-step interpretation analysis, a mode for demonstrating heap and reference concepts, and thorough call stack visualization.
6) PyCharm
JetBrains created the hybrid platform known as PyCharm as a Python IDE. The Python IDE PyCharm is used by some major companies, including Twitter, Facebook, Amazon, and many others. It is frequently employed for creating Python applications.
PyCharm may be used on various platforms, such as Linux and Windows. It also has modules and packages that make it easier and faster for programmers to use Python to create software. Additionally, it can be altered to meet the needs of developers.
Code automation, code examinations, error highlights and corrections, debugging, configuration management, and code reworking are all things that PyCharm offers in excess. These features are all pre-installed.
7) Visual Studio Code
Python development can be done using Visual Studio Code (VS Code), a free and open-source IDE developed by Microsoft.
In VS Code, you can add plugins to build a Python development platform that meets your needs. It offers functions like intelligent code completion, error-checking, debugging, unit testing, etc.
Lightweight and loaded with advanced features, VS Code. It is growing in popularity among Python developers for this reason.
8) VIM
The text editor Vim comes pre-installed on UNIX and macOS platforms. You must download it for Windows.
While some developers detest Vim, some truly like its keyboard shortcuts and extensibility.
Vim can be a helpful tool for Python programming when you already know how to operate it. If not, you must spend time becoming familiar with Vim's commands before using them for Python.
Vim can be used as a Python IDE by adding extensions for syntax highlighting, autocomplete, analysis, rewriting, etc.
9) Spyder
A popular open-source IDE for scientific development is called Spyder.
Anaconda software is the best suited software for writing and debugging python code in Spyder platform. If you didn't know, Anaconda is a well-liked distribution for machine learning and data analytics. Numerous programmes are available in the Anaconda distribution, including NumPy, Pandas, Scikit-Learn, Matplotlib, and others.
The iPython shell, analysis, and auto-completion are just a few of the fantastic features of Spyder. However, compared to PyCharm, it is lacking in features.
10) Jupyter Notebook
Jupyter notebook is an open-source web tools that enables you to write code and share documents along with real-time code that has been written by you, comparations, graphics, and Transcript. Data transformation and cleaning, statistical modelling, data visualization, machine learning, and many other applications are just a few examples.
Python is one of the more than 40 programming languages that Jupyter supports. Installing the Jupyter Notebook itself requires Python software.
You can install Jupyter Notebook using pip (python package installer). You can install Jupiter notebook by typing the below-given command in the command prompt.
python3 -m pip install jupyter
By doing so, you can install and work on the Jupiter notebook platform to write and debug the python code.