Python Tutorial



Python Tutorial

Python IDE


Python, a versatile and widely-used programming language, deserves an environment that complements its capabilities. Integrated Development Environments (IDEs) offer a comprehensive toolkit, enhancing coding productivity and efficiency. In this tutorial, we'll delve into Python IDE and the nuances that differentiate them from code editors.


In the vast domain of Python programming, having the right tools becomes paramount for efficient code development and debugging. A developer's workspace, notably an IDE (Integrated Development Environment), plays a pivotal role in this efficiency drive. This tutorial navigates through the labyrinth of Python IDE, providing clarity on their features, usage scenarios, and distinctions, especially when contrasted against code editors. We aim to equip you with the knowledge to make informed choices for your coding ventures.

What Do You Mean by an IDE?

An Integrated Development Environment (IDE) is an advanced software suite designed to streamline the software development process. It unifies essential tools, eliminating the need for external utilities, enhancing productivity.

The principal aim of an IDE is to furnish developers with a comprehensive platform, maximizing efficiency. It mitigates the hurdles faced during software creation, testing, and debugging phases, simplifying the complexities of the software development lifecycle.


  • Source Code Editor: At the heart of every IDE, the source code editor is a specialized space where developers craft and modify their code. It usually offers syntax highlighting, autocompletion, and smart indentation, enhancing code readability and speeding up the coding process.

  • Compiler or Interpreter: Beyond the writing phase, the code needs translation into a machine-understandable format. The compiler or interpreter performs this crucial function, converting high-level programming language instructions into executable machine code or interpreting them on-the-fly.

  • Debugger: An indispensable tool, the debugger scrutinizes the code for errors or 'bugs'. It not only identifies these errors but also offers insights into their nature, allowing developers to pinpoint and rectify the issues efficiently, reducing the trial-and-error aspect of coding.

With these core components, an IDE Python forms the backbone of a developer's toolkit, driving efficiency and accuracy in the software development process.

Definition of IDEs and Code Editors

IDEs (Integrated Development Environments):

IDEs represent the epitome of software development utilities. These are:

  • Comprehensive Platforms: IDEs are not just editors; they're an ecosystem, catering to various facets of the software development process. They amalgamate an array of tools, providing an integrated approach to coding.

  • Multifunctional: An IDE is a jack of all trades. From coding to debugging, from testing to version control, it envelops every essential function, making it a single point of operation for developers.

  • For Intensive Tasks: Given their comprehensive nature, IDEs are best deployed for complex, large-scale projects where multiple integrated tools are a boon, aiding in streamlined development and efficient debugging.

Code Editors:

  • Focus on Fundamentals: Unlike IDEs, the best Python editor hone in on the core aspect of programming - the act of writing and refining code. They might not have integrated debuggers or compilers, but they excel in their primary function.

  • Agility and Speed: Given their narrowed focus, code editors are lightweight. This makes them faster, allowing developers to make quick edits or initiate projects without the overhead of additional tools.

  • Simplicity is Key: Code editors shine in scenarios where developers need to make rapid edits, work on simpler projects, or when they're utilizing external tools for debugging and other functions.

In essence, while IDEs provide a comprehensive toolkit suitable for end-to-end development, code editors offer a nimble environment tailored for swift and straightforward coding tasks.

IDE vs. Code Editor: What's the Difference Between Them?

When diving into the world of software development, two primary tools are available to professionals: Integrated Development Environments (IDEs) and Code Editors. Both these tools serve distinct roles, catering to different needs. While they might appear similar to untrained eyes, each has been intricately designed to address specific challenges in the development lifecycle. 

Let's delve deeper into the contrasting facets of these two instrumental tools, unveiling their inherent strengths and ideal use-cases.



Code Editor


Comprehensive software that offers tools for coding, testing, and debugging.

A software focused mainly on writing and editing code.


Advanced with integrated tools that address all phases of development, from conception to deployment.

Simpler with a focus on core editing, providing a streamlined interface devoid of frills.


Best suited for full-fledged projects where the integration of multiple tools is essential.

Ideal for quick edits, scripting, or when the additional capabilities of an IDE are not required.


Though inherently feature-rich, it can be resource-intensive and might have a steeper learning curve.

Lightweight and highly customizable via plugins, offering flexibility to add functionalities as needed.

To surmise, while IDEs are comprehensive platforms providing an all-in-one solution for software development, Python editor Windows are lean tools designed for agility, making code-writing efficient and swift. The choice between the two hinges on the specific requirements and scale of the project at hand.

What are the Features of an IDE?

The key features of an IDE for Python are designed to enhance the software development life cycle, ensuring that professionals have everything they need at their fingertips. Let's delve deeper into these essential characteristics:

  • Integrated Compiler/Interpreter: Central to any IDE, this component guarantees seamless code translation into machine-readable format, allowing developers to run and test their programs within the IDE itself.

  • Debugger: A crucial aspect, the debugger assists developers in identifying, locating, and fixing code discrepancies, ensuring that the software runs error-free.

  • Code Suggestions: An invaluable tool, especially during lengthy coding sessions. It facilitates rapid coding by anticipating and recommending possible completions based on the initial input, reducing the chances of errors.

  • Version Control: This feature manages and tracks different versions of the code, making it easier to roll back changes, collaborate with teams, and maintain the codebase's integrity.

  • Build Automation Tools: Focusing on efficiency, these tools automate routine tasks such as compiling and deploying applications. They minimize manual interventions, ensuring that the development process remains smooth and error-free.

In essence, an IDE is much more than just a code editor. Its multifaceted features cater to the holistic needs of developers, providing an ecosystem that fosters productivity and efficiency.

List of Best Python IDE to Choose From

Choosing the right Integrated Development Environment (IDE) can significantly boost a developer's efficiency. When it comes to Python, several IDEs are tailored to cater to its specific nuances and strengths. Let's explore some of the most feature-rich and best Python IDE for Windows and Mac:


  • Renowned for its comprehensive Python support, PyCharm IDE stands out in the IDE realm.

  • It not only supports Python's core, but also features database tools and integrates seamlessly with the Django web framework, making web development a breeze.


  • Specifically designed with data scientists in mind, Spyder is tailored for data analysis and a great fit for qualifying as the best Python IDE for Mac.

  • Its biggest strength is its seamless integration with essential scientific libraries, such as SciPy, making data manipulation and computational tasks more straightforward.

Eclipse PyDev

  • PyDev serves as a potent extension for the widely-used Eclipse IDE, transforming it into a Python powerhouse, making it a good choice in the list of the best Python IDE for beginners

  • It offers robust support for Django, ensuring web developers find all they need, from code suggestions to debugging tools.


  • As the native Python environment, IDLE is embedded with Python installations.

  • Its simple, uncluttered interface makes it an ideal starting point for Python beginners, offering a no-frills, effective coding platform.


  • Crafted exclusively for Python, Wing puts emphasis on debugging.

  • Its powerful debugging capabilities set it apart, offering tools that make tracing and fixing code discrepancies efficient and intuitive.

These IDEs, tailored for Python, provide developers with the resources to optimize their coding processes, ensuring they harness Python's capabilities to the fullest.

Take Your Pick: List of Best Python Code Editor

Visual Studio

For Python developers who prefer lighter environments or are working on smaller projects, code editors can be the ideal choice. Unlike full-fledged IDEs, they prioritize swift code writing and editing. Here's a rundown of some of the top Python code editors available:


  • A seasoned player in the realm of text editors, Emacs has stood the test of time.

  • It is highly extensible and supports a variety of Python plugins, allowing users to tailor the editor to their specific requirements.

Visual Studio Code

  • VS Code has made a significant mark owing to its feature-rich extensions, especially for Python.

  • Another remarkable feature is its integrated Git control, simplifying version control and collaborative development.

Sublime Text

  • Known for its blazing speed, Sublime Text is particularly adored for its crisp interface and Python syntax support.

  • Its vast ecosystem ensures there's a plugin for almost every need, enhancing its functionality manifold.


  • Created by GitHub, Atom integrates seamlessly with the platform, making collaborative coding intuitive.

  • It houses an abundance of Python packages, allowing developers to mold the editor as per their workflow.


  • Vim is often the first choice for coding purists who appreciate its minimalistic approach.

  • While it delivers an efficient coding experience out of the box, users can further optimize it with Python-specific configurations.

Each of these editors brings a unique set of features to the table, catering to various developer needs and project requirements.

Honorable Mentions
While the aforementioned IDEs and code editors cater to a vast majority of Python developers, there are specialized tools designed for niche segments, ensuring everyone has the right platform for their requirements. Here are a few noteworthy mentions in addition to the best IDE for Python list above:


  • Specifically designed with Python beginners in mind, Thonny simplifies the learning curve.

  • It offers a user-friendly interface, an in-built Python interpreter, and facilitates easy stepping through the code, giving novices a comprehensive understanding of how Python works.

Jupyter Notebook

  • Dominating the field of data science and machine learning, Jupyter Notebook is more than just an IDE.

  • It allows for code execution in 'cells', enabling users to visualize data, create plots, and even embed multimedia, making it indispensable for data analysts and scientists.


  • Tailored for the data science community, Rodeo is built keeping the specific requirements of data professionals in mind.

  • Its interface resembles RStudio, making it intuitive for those transitioning from R to Python, and it easily integrates with libraries like NumPy and SciPy.

Each of these platforms, while not as universal as some of the more prominent IDEs, addresses specific needs brilliantly, proving the versatility of Python-related tools.


Choosing the right Python development environment can significantly influence coding efficiency. With a plethora of options available, it's imperative to align the choice with one's needs. As you continue to improve and build on your Python skills, consider upGrad's upskilling courses, bridging the gap between knowledge and application.


1. What's the most recommended Python IDE for Windows?

PyCharm and Visual Studio Code are highly recommended for Windows users. Both of these IDEs are tailored to provide an optimized performance on the Windows platform, offering a host of features that enhance the Python development experience on this OS.

2. Can I download a Python IDE for free?

Absolutely! There are several quality Python IDEs available for free. Notably, IDLE comes pre-packaged with Python installations, while tools like Spyder, known for data science, and the community edition of PyCharm can be downloaded without any cost, providing robust capabilities to developers.

3. Which Python IDE is beginner-friendly?

For beginners diving into Python, both IDLE and Thonny stand out. They are equipped with intuitive interfaces that simplify the learning journey. These platforms focus on providing clarity about Python's workings, ensuring that newcomers can grasp fundamental concepts without feeling overwhelmed.

4. How does a Python editor differ from a Python IDE?

While a Python editor primarily concentrates on the pivotal task of code writing and editing, a Python IDE is a more holistic platform. It not only supports code writing but offers an ensemble of integrated tools, covering the entire spectrum of software development, from coding to debugging.

5. Is there a Python-specific IDE for Mac users?

Certainly! Both PyCharm and Visual Studio Code are excellent choices for Mac users. They have been intricately optimized for the Mac environment, ensuring developers encounter minimal hitches. Their interfaces, features, and extensibility make them top choices for a seamless Python development journey on Mac.

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