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Jupyter vs PyCharm: What are the differences?
Jupyter vs PyCharm
Jupyter and PyCharm are two popular Integrated Development Environments (IDEs) used in data science and Python development. While both tools are widely used, there are some key differences between them that make them suitable for different use cases.
Programming Paradigm Support: Jupyter is primarily designed for interactive computing and supports multiple programming languages, including Python. It encourages exploratory programming and provides a notebook-style interface that allows users to write and execute code in a non-linear manner. On the other hand, PyCharm is a full-fledged Python IDE that focuses on enabling efficient software development. It provides features like code completion, debugging, and version control integration, making it more suitable for traditional software development projects.
Execution Environment: Jupyter notebooks are executed in a web browser and provide a cell-based execution model. This means that the code is divided into individual cells that can be executed independently and out of order. It also allows for the visual representation of outputs like plots and tables within the notebook itself. PyCharm, on the other hand, executes code in a more traditional manner, running the entire script or program from start to finish. It does not offer a built-in visualization environment and relies on external tools like matplotlib for generating plots.
Collaboration and Sharing: Jupyter notebooks are designed with collaboration and sharing in mind. They can be easily shared with others, allowing them to run the code and view the results without requiring the actual development environment. This makes it easier for teams to collaborate and share experimental work. PyCharm, on the other hand, does not provide native support for easy sharing and collaboration. While code can be shared with others, they would need to have PyCharm installed to effectively run and work with the code.
Project Structure: PyCharm follows a project-based structure, where each project is organized into folders and files. This allows for better organization and management of larger codebases. It also provides features like refactoring, searching, and code navigation within the project. Jupyter, on the other hand, does not enforce a specific project structure and is more suitable for ad-hoc, exploratory coding. Notebooks can be organized into directories, but the overall structure is less rigid compared to PyCharm.
Learning Curve: PyCharm is a more feature-rich and complex IDE compared to Jupyter, which makes it more suitable for professional software developers. However, this complexity also comes with a steeper learning curve. Jupyter, on the other hand, has a simpler and more intuitive interface that makes it easier for beginners to get started with coding and data analysis.
Integration with Scientific Libraries: Jupyter has a strong integration with scientific libraries like NumPy, pandas, and scikit-learn. These libraries often provide direct support for Jupyter notebooks and have special features that enhance the user experience within the notebook environment. PyCharm also supports these libraries but does not provide the same level of integration and ease of use as Jupyter.
In Summary, Jupyter is a notebook-style IDE that promotes interactive computing, collaboration, and sharing, making it suitable for exploratory data analysis and collaborative work. PyCharm, on the other hand, is a feature-rich IDE designed for efficient software development, with strong project management and debugging capabilities.
UPDATE: Thanks for the great response. I am going to start with VSCode based on the open source and free version that will allow me to grow into other languages, but not cost me a license ..yet.
I have been working with software development for 12 years, but I am just beginning my journey to learn to code. I am starting with Python following the suggestion of some of my coworkers. They are split between Eclipse and IntelliJ IDEA for IDEs that they use and PyCharm is new to me. Which IDE would you suggest for a beginner that will allow expansion to Java, JavaScript, and eventually AngularJS and possibly mobile applications?
Pycharm is great for python development, but can feel sometimes slow and community version has Somme very annoying restrictions (like they disabled jupyter notebooks plugin and made it premium feature). I personally started looking into VS Code as an alternative, and it has some very good potential. I suggest you take it into account.
The Community version of PyCharm is free and should give you what you need to get started with Python. Both PyCharm and IntelliJ are made by JetBrains. IntelliJ is initially focused on Java but you can get plugins for lots of other things. I subscribe to JetBrains' Toolbox: https://www.jetbrains.com/toolbox-app/ and have access to all of their great tools.
Hi, I will give my opinion based on my experience. I have used PyCharm, both community and Professional version. The community has limited functions, like you can't use a Jupyter notebook whereas it's available in the Professional version. PyCharm is slower compared to Visual Studio Code. Also Visual Studio Code is an editor which supports various languages. I myself have used both Visual Studio Code and PyCharm. I feel Visual Studio Code would be better choice. You may as well decide based upon your requirements.
I couldn't imagine using a development tool other than the IntelliJ IDEA Ultimate All Products Pack. A single license allows me to work directly on my server running Ubuntu and/or my workstation running Windows 10 Pro simultaneously. My current project uses HTML, W3CSS, JavaScript, Java, Groovy, Grails, C, GO, Python, Flask, and Rust. For me it's worth every penny of the $150 license fee. And you can try it for free.
Visual Studio code is easy to use, has a good UI, and a large community. Python works great with it, but unlike some other editors, it works with most languages either by default or by downloading a plugin. VS Code has built in linting, syntax coloring, autocompletes (IntelliSense), and an api for plugins to do there own tooling.
I'd personally recommend Visual Studio Code as it gives you the flexibility of working in any language, so long as there are extensions to support it. It gives you the flexibility to learn Python, venture into Java, Javascript, and eventually AngularJS, and potentially mobile applications. It's also free and you can install it on your personal computer. I think Visual Studio Code would serve your intended use case best.
IntelliJ really is the best for Java, I switched from eclipse years ago and never looked back. As for javascript, python and angular either using the standalone products from jetbrains (pycharm for python, webstorm for js) or installing the relevant plugins for InteliJ will be your best bet. Pycharm etc. are really just InteliJ with some additional plugins installed.
If you starting with Python then PyCharm is better. For Java I would suggest to go with IntelliJ IDEA but people also prefer eclipse so I would say try both and then decide. For JS/Angular/React I would suggest go with VSCode. I personally use it and prefer as its light weight and have good integration with chrome for frontend development.
PyCharm, IntelliJ IDEA are both products of JetBrains. They have a free (limited feature) and paid edition. Eclipse is free. VSCode is also free.
Easy to learn and everything you need
This is a very easy to use tool and gives you the opportunity to start coding right after the installation with almost everything setup automatically by the tool.
All three are great, however, I believe that IntelliJ IDEA's multiple IDE's are slightly more straight-forward and more up-to date than Eclipse. If I had to choose one specifically for Python projects I would go with PyCharm.
Pycharm is all you need to get start coding in python or any of its framework. Its an awesome tool you should give it a try :)
Pros of Jupyter
- In-line code execution using blocks19
- In-line graphing support11
- Can be themed8
- Multiple kernel support7
- LaTex Support3
- Best web-browser IDE for Python3
- Export to python code3
- HTML export capability2
- Multi-user with Kubernetes1
Pros of PyCharm
- Smart auto-completion112
- Intelligent code analysis93
- Powerful refactoring77
- Virtualenv integration60
- Git integration54
- Support for Django22
- Multi-database integration11
- VIM integration7
- Vagrant integration4
- In-tool Bash and Python shell3
- Plugin architecture2
- Docker2
- Django Implemented1
- Debug mode support docker1
- Emacs keybinds1
- Perforce integration1
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Cons of Jupyter
Cons of PyCharm
- Slow startup10
- Not very flexible7
- Resource hog6
- Periodic slow menu response3
- Pricey for full features1