update post: Best Python IDEs to Boost Your Coding in 2025

nehagup · nehagup · commit e66dbfbdb92a · 2025-02-11T11:08:48.000+05:30
diff --git a/cm2oahp4m000f07k1g5wj7jw4.md b/cm2oahp4m000f07k1g5wj7jw4.md
@@ -1,27 +1,29 @@
 ---
-title: "Top 5 Best IDEs to use for Python in 2024"
-seoTitle: "Best Python IDEs 2024: Top 5 Picks"
-seoDescription: "Discover the top 5 IDEs for Python in 2024, tailored for developers from beginners to professionals. Enhance your coding experience today"
+title: "Best Python IDEs to Boost Your Coding in 2025"
+seoTitle: "Best Python IDEs to Boost Your Coding in 2025"
+seoDescription: "Discover the top 5 Python IDEs for 2025, tailored to meet the diverse needs of developers, from beginners to data scientists"
 datePublished: Fri Oct 25 2024 05:26:24 GMT+0000 (Coordinated Universal Time)
 cuid: cm2oahp4m000f07k1g5wj7jw4
 slug: best-ides-for-python-in-2024
 canonical: https://keploy.io/blog/community/top-5-best-ides-to-use-for-python-in-2024
-cover: https://cdn.hashnode.com/res/hashnode/image/upload/v1728850529213/cd4f809c-c3aa-4e3e-bea3-7f37c09d1653.png
-ogImage: https://cdn.hashnode.com/res/hashnode/image/upload/v1728850519490/597f4a9e-8f19-471d-85f4-369b33aa8852.png
+cover: https://cdn.hashnode.com/res/hashnode/image/upload/v1739252023588/2233be35-4ac9-4b86-83db-b5e2440f7eac.png
+ogImage: https://cdn.hashnode.com/res/hashnode/image/upload/v1739252250829/215b3b00-fe8a-4f62-abc6-4ed1876b74e6.png
 tags: python, ides, developer, coding
 
 ---
 
 ## Introduction
 
-Python is one of the most popular programming languages and choosing the right Integrated Development Environment (IDE) is essential for an efficient workflow. Whether you are a beginner or an experienced developer, choosing the right and best IDE is important because each developer's needs are unique, whether working on scientific projects, professional applications, or simple scripts. Let’s check out the top 5 best Python IDE as of 2024.
+Python is one of the most popular programming languages and choosing the right Integrated Development Environment (IDE) is essential for an efficient workflow. Whether you are a beginner or an experienced developer, choosing the right and best IDE is important because each developer's needs are unique, whether working on scientific projects, professional applications, or simple scripts. Let’s check out the top 5 best Python IDE as of 2025.
 
 ## Top 5 IDEs for Python
 
-### PyCharm
+### 1\. PyCharm
 
 **Best for:** Professional development and large-scale projects.
 
+![图文| PyCharm专业版下载&安装&激活| 大邓和他的PYTHON](https://textdata.cn/images/blog/pycharm-professional.png align="left")
+
 Developed by JetBrains, PyCharm is one of the most popular Python IDE, offering a feature-rich experience with an emphasis on productivity. It is designed with professional developers in mind, with features that make it ideal for working on larger projects.
 
 **Key Features:**
@@ -35,8 +37,6 @@ Developed by JetBrains, PyCharm is one of the most popular Python IDE, offering
 * Contains integrated tools for version control (Git, SVN).
     
 
-![图文| PyCharm专业版下载&安装&激活| 大邓和他的PYTHON](https://textdata.cn/images/blog/pycharm-professional.png align="left")
-
 **Pros:**
 
 * PyCharm supports smart code navigation and quick fixes.
@@ -53,23 +53,23 @@ Developed by JetBrains, PyCharm is one of the most popular Python IDE, offering
 * The Professional edition of PyCharm is paid.
     
 
-### VS Code
+### 2\. Visual Studio Code
 
 **Best for:** Developers looking for a flexible, cross-language environment.
 
-Microsoft’s VS Code is one of the most popular go-to option for every developers for its extensive customization and support options. Though not an IDE by default, it offers excellent support for Python with the addition of extensions.
+![The VS Code Server : r/javascript](https://external-preview.redd.it/Uz0PH-r8nGx8gU9UCHURirqrtXgLhtqJiNDVgT03jtw.jpg?auto=webp&s=580d0dc62b6581d2a8ff8e628d3bea5d53bdf5d2 align="left")
+
+Microsoft’s VSCode is one of the most popular go-to option for every developers for its extensive customization and support options. Though not an IDE by default, it offers excellent support for Python with the addition of extensions.
 
 **Key Features:**
 
 * VS Code supports Python through the Python extension, which includes IntelliSense, debugging, and more.
     
-* It has extensive library of extensions for different programming languages, including support for Git, Docker, and Jupyter Notebooks.
+* It has extensive [library of extensions](https://keploy.io/blog/community/top-5-must-use-vs-code-extensions-for-developers-in-2025) for different programming languages, including support for Git, Docker, and Jupyter Notebooks.
     
 * Also, it has built-in terminal and Git integration.
     
 
-![The VS Code Server : r/javascript](https://external-preview.redd.it/Uz0PH-r8nGx8gU9UCHURirqrtXgLhtqJiNDVgT03jtw.jpg?auto=webp&s=580d0dc62b6581d2a8ff8e628d3bea5d53bdf5d2 align="left")
-
 **Pros:**
 
 * VS Code is lightweight and open-source, with regular updates.
@@ -83,17 +83,15 @@ Microsoft’s VS Code is one of the most popular go-to option for every develope
 
 * VS Code requires extensions to achieve full functionality, which may be overwhelming for beginners.
     
-* It lacks some built-in Python-specific features that a dedicated IDE might offer.
-    
 
-### Spyder
+### 3\. Spyder
 
 **Best for:** Data science and scientific computing.
 
-Spyder is specifically designed for data science and comes pre-packaged with tools that make it easy to work with data analysis and machine learning libraries. Often enough, it is bundled with Anaconda, a popular Python distribution for data science.
-
 ![Spyder | The Python IDE that scientists and data analysts deserve](https://www.spyder-ide.org/assets/media/website_screenshot.png align="left")
 
+Spyder is specifically designed for data science and comes pre-packaged with tools that make it easy to work with data analysis and machine learning libraries. Often enough, it is bundled with Anaconda, a popular Python distribution for data science.
+
 **Pros:**
 
 * It is free and open-source.
@@ -108,10 +106,12 @@ Spyder is specifically designed for data science and comes pre-packaged with too
 * It provides limited features for large-scale software engineering projects.
     
 
-### Jupyter Notebook
+### 4\. Jupyter Notebook
 
 **Best for:** Interactive data analysis, machine learning, and research.
 
+![What is Jupyter?](https://nightingalehq.ai/knowledgebase/glossary/what-is-jupyter/jupyter_hu55e85fab71a39b400081f279496f95b4_62056_1200x675_fill_q75_box_smart1.jpg align="left")
+
 Jupyter Notebook has become a staple in the data science community due to its interactive nature. The best thing about Jupyter is, it allows developers to write code, run it, and view the output in the same environment, ideal for experimenting and sharing insights. It is one the best Python IDE used by many developers.
 
 **Key Features:**
@@ -122,8 +122,6 @@ Jupyter Notebook has become a staple in the data science community due to its in
     
 * It has excellent support for data science libraries and data visualization.
     
-    ![What is Jupyter?](https://nightingalehq.ai/knowledgebase/glossary/what-is-jupyter/jupyter_hu55e85fab71a39b400081f279496f95b4_62056_1200x675_fill_q75_box_smart1.jpg align="left")
-    
 
 **Pros:**
 
@@ -139,10 +137,12 @@ Jupyter Notebook has become a staple in the data science community due to its in
 * Using Jupyter, managing larger projects and multiple files can be challenging.
     
 
-### Thonny
+### 5\. Thonny
 
 **Best for:** Beginners learning Python.
 
+![Best 6 Python IDEs: Made For Python Only. 😎 - DEV Community](https://media.dev.to/cdn-cgi/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2Fc6k9ie5hy36v36d09lqo.png align="left")
+
 Thonny is the best Python IDE tailored for those just starting with Python. IT is simple, beginner-friendly, and also, it comes with an easy-to-use interface and includes debugging tools that make it ideal for students and those who are new to coding.
 
 **Key Features:**
@@ -154,8 +154,6 @@ Thonny is the best Python IDE tailored for those just starting with Python. IT i
 * It includes Python installation, so users don’t need to worry about setting up Python separately.
     
 
-![Best 6 Python IDEs: Made For Python Only. 😎 - DEV Community](https://media.dev.to/cdn-cgi/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2Fc6k9ie5hy36v36d09lqo.png align="left")
-
 **Pros:**
 
 * It’s user-friendly and free to use.
@@ -170,28 +168,28 @@ Thonny is the best Python IDE tailored for those just starting with Python. IT i
 * The extensions and customization options are limited.
     
 
-## Best IDE extensions to use with Python
+## Must have extensions to use with Python
 
 Although choosing the right IDE is important, but choosing the right IDE extensions can also significantly enhance your productivity and streamline your workflow. Let’s check some of the popular extensions that you should must use:
 
-### Keploy
+### 1\. Keploy
 
 Keploy is a powerful IDE extension that can automatically generate test cases by recording real-time API calls during the development phase. By providing a zero-code way to capture test data, it ensures that your application is covered with functional tests without writing additional code. Also the replay feature of Keploy enables you to run these tests and ensure no unintended behavior creeps into your codebase after updates.
 
-![Keploy | Open Source Stubs and API Test Generator for Developer](https://keploy.io/_next/static/media/keploy.eb069ede.svg align="left")
+[![Keploy | Open Source Stubs and API Test Generator for Developer](https://cdn.hashnode.com/res/hashnode/image/upload/v1739251932392/3425dfac-ee80-4ef6-8468-a63df36e13d6.png align="center")](https://keploy.io)
 
 **Key Benefits**:
 
-* Zero-code functional test generation
+* Zero-code [functional test generation](https://keploy.io/unit-test-generator)
     
 * Automated API regression testing
     
 * Seamless integration into CI/CD pipelines
     
 
-### Docker
+### 2\. Docker
 
-The Docker extension brings the power of containerized development directly into your IDE. These containers ensure that your application runs consistently across different environments, eliminating the classic "works on my machine" problem. With the Docker extension, it becomes simpler for us to manage containers, images, and networks right from our editor, making development and testing environments incredibly flexible and easy.
+The Docker extension brings the power of [containerized development directly](https://keploy.io/blog/technology/secure-your-database-communications-with-ssl-in-docker-containers-learn-to-set-up-ssl-for-mongodb-and-postgresql-efficiently) into your IDE. These containers ensure that your application runs consistently across different environments, eliminating the classic "***works on my machine***" problem. With the Docker extension, it becomes simpler for us to manage containers, images, and networks right from our editor, making development and testing environments incredibly flexible and easy.
 
 ![Docker for Developers: Understanding the Core Concepts – Code with Dan Blog](https://blog.codewithdan.com/wp-content/uploads/2023/06/Docker-Logo.png align="left")
 
@@ -204,7 +202,7 @@ The Docker extension brings the power of containerized development directly into
 * Compatibility with multiple languages and frameworks
     
 
-### GitLens
+### 3\. GitLens
 
 GitLens enhances Git integration in your IDE, allowing developers to visualize code history and better understand the evolution of the project. Features like blame annotations, line-by-line commit history, and a powerful interface for exploring diffs and merges; eases the developer experience significantly. With GitLens, managing complex Git workflows becomes more intuitive, and collaboration within teams becomes smoother.
 
@@ -223,15 +221,9 @@ GitLens enhances Git integration in your IDE, allowing developers to visualize c
 
 There isn’t any single best IDE, but based on your requirements and circumstances, you have to make the choice of which IDE to use or not. There are many more IDEs on the market other than these five, which I’ve mentioned here; but these are the most popular ones and loved by many developers and programmers, and provides the best possible experience for its target audience.
 
-And finally, thank you for reading the blog! I hope you found it informative and valuable. For more information, follow me on [**Twitter (swapnoneel123**](http://twitter.com/swapnoneel123)**)** where I share more such content through my tweets and threads. And, please consider sharing it with others on **Twitter** and tag me in your post so I can see it too. You can also check my [**GitHub (Swpn0neel)**](https://github.com/Swpn0neel) to see my projects.
-
 I wish you a great day ahead and till then keep learning and keep exploring!!
 
-![](https://cdn.hashnode.com/res/hashnode/image/upload/v1716652301849/8327a90c-373e-4837-9102-e67bb38def0c.png?auto=compress,format&format=webp align="left")
-
----
-
-## FAQ’s
+## FAQs
 
 ### **Which IDE is best for Python beginners?**
 
@@ -255,4 +247,6 @@ Absolutely. Many developers use different IDEs for different projects. For insta
 
 ### **Are there any lightweight IDEs for older systems?**
 
-VS Code is relatively lightweight and performs well even on older systems. Thonny is another lightweight option that works smoothly on most machines and is beginner-friendly.
+VS Code is relatively lightweight and performs well even on older systems. Thonny is another lightweight option that works smoothly on most machines and is beginner-friendly.
+
+![](https://cdn.hashnode.com/res/hashnode/image/upload/v1716652301849/8327a90c-373e-4837-9102-e67bb38def0c.png?auto=compress,format&format=webp align="left")
