Jupyter Notebook is the most popular and go-to tool among data scientists. So, what is Jupyter Notebook, and why is it so popular? Jupyter Notebook was formerly known as IPython Notebook. We can say it is a Notebook that lets us run our code interactively within a web browser, along with some visualization and some markdown text to explain the process of what’s going on. It is free and open-source. Its main feature is that it gives you live code and visualization in one place, thus making it an excellent software for learning and teaching.

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Although Jupyter Notebook is different and unique, and while these features may appeal to some people, other people may find it hard to work with Jupyter Notebook. E.g., if you are a developer that prefers test-driven, then you may not find Jupyter Notebook according to your taste.

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Similarly, the non-linear workflow may not be for everyone. So if you are looking for Jupyter Notebook alternatives, read ahead!

Following is a list of the best Jupyter Notebook alternatives.

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PyCharm

PyCharm is an IDE developed by JetBrain, mostly used for python programming. It is not limited to Python only as it also supports web development. You can write and compile Angular JS, Javascript, CSS, and HTML. It also supports some database languages like MySQL.

In addition to this, it also supports interactive Python, just like Jupyter Notebook. It provides a lot of features when compared to Jupyter Notebook. One of its main features is that it has an excellent debugger with GUI. One major drawback is that most features, including the debugger, are offered for professional versions. It doesn’t have a good community version.

So you will have to pay to get the licensed version, or if you are a student and have a university email, you can sign up for JetBrains using that email and get a free PyCharm professional license till you graduate.

Apache Zeppelin

Apache Zeppelin is an open-source web-based tool for data analysis. Zeppelin Notebook is a multipurpose notebook that can handle all of your analytics needs from Data Visualization and collaboration to data discovery, data ingestion, and data analytics.

RStudio

R has slowly become the main or one of the main languages used for statistical analysis. It is mostly used alongside Python in data science. RStudio is an IDE specifically for the R language. It is looking to provide support to other languages in the future. Although it only has support for R, it offers a lot of features and functionality like text highlighting, etc.

Rodeo IDE

If you are a data scientist who prefers to work exclusively using Python, then Rodeo IDE might be the software for you. It is a lightweight and simple IDE but packs a fantastic set of features. You can use tab completion in both the console and the text editor to search for modules. Files or scripts open directly into the editor.

You can view variables, tables, data frames, and lists in the environment tab. Images and plots can be accessed in the plots tab. You can also expand and save individual plots. Aside from the features, Rodeo IDE also provides flexibility. You can change the font size and the theme according to your liking: your working directory and python path.

Rodeo also has support for vim and emacs keybindings. There are a lot of keyboard shortcuts to help speed up your workflow. You can configure your Rodeo profile where you can list database credentials, import statements, and helper functions; these are useful, but people tend to forget them easily. All these are accessible to any new scripts that you write.

Google Colab

If you are a machine learning specialist or in general have an interest in learning machine learning, then Google Colab might be the one for you. Google Colab is an online Jupyter Notebook. Now, if it’s just like Jupyter Notebook, then why switch? The following is the main reason why you might be forced to change whether you like it or not.

One of the most common hurdles, when you enter the field of machine learning, is the hardware requirements. So what I mean by this is that in machine learning, you have to model using a significant amount of data for a specific time. This training requires a lot of calculations. Usually, when you train, your CPU is used, but training with CPU is very slow and may heat your laptop; this is where Cuda comes in.

Cuda is a toolkit created by Nvidia that lets you perform the calculations on your GPU rather than CPU. Training of GPU speeds up the process by a lot. Now another main problem is that if you have an AMD GPU, then Cuda is not for you as Cuda is not for AMD.; this is where Google Colab comes in and saves the day.

It provides free GPU and free TPU.

In addition to this, it also has a lot of features. Synchronization is effortless, and you can import your scripts pretty easily. In addition to this, all libraries are pre-installed, so you just have to write an import function to start using them.

Conclusion

Jupyter Notebook is excellent software, but for one reason or the other – if it is not your type, there are many good softwares out there that can provide you with a lot of features and functionalities. Some may be paid like PyCharm, while others might be free like Google Colab. Each software has its pros and cons. Choose the one that is most compatible with you & matches your needs.

If you’ve ever wanted to learn Python programming, get ready to be blown away.

Today we’re launching the free and open source PyCharm Educational Edition for students and teachers. This easy-to-use yet powerful Python IDE includes special interactive educational functionality to help novice programmers learn the craft and turn professional quicker than ever before! It combines the easy learning curve of interactive coding platforms with the power of a real-world professional tool.

Why PyCharm Educational Edition?

We all know that computer programming studies are one of today’s major global trends, driven by open-access, non-credit education. Python has long been used for educational purposes and is now the most popular language used to teach programming for beginners. We decided to create this new educational IDE, because we at JetBrains PyCharm, being a part of the Python community, are committed to providing quality, professional, seamless solutions for learning programming with Python, keeping the needs of both novice programmers and educators in mind.

What is so special about PyCharm Educational Edition?

In designing this tool we have been inspired by Guido van Rossum, the creator of the Python programming language, who said:

“We believe that there should be no clear-cut distinction between tools used by professionals and tools used for education—just as professional writers use the same language and alphabet as their readers!” https://www.python.org/doc/essays/cp4e/

PyCharm is a professional tool recognized among professionals all around the globe. At some point it occurred to us that, with some work, its power could also be harnessed to serve educational purposes.

We analyzed educational trends and tools on the market carefully. To understand what should be improved in PyCharm and how to make it the best educational IDE possible, we polled hundreds of instructors from different universities all around the world.

We found out that there are two opposite approaches to learning programming. One is based on using interactive online educational platforms and editors, which are extremely easy to start with. Despite an easy learning curve, these are not real development tools, and once you get used to them it may be difficult to switch to a real development environment and develop something real. The other approach is centered around real code editors and IDEs tools. While advanced, they are often too complex for beginners. Instead of learning programming, you must invest considerable efforts and time just into understanding how the tool works, before actually learning the essentials of programming.

PyCharm Educational Edition aims to combine both these two worlds. We’ve made it easy to get started with, not intimidating, yet powerful enough to guide you all the way through to becoming a professional developer.

All the learning you need, for FREE

PyCharm Educational Edition is absolutely free and open-source. Novice programmers can download and use it for educational or any other purposes—for free. Instructors and course authors can use it to create, modify and share their own courses.

Included are learning essentials like an integrated Python console, Debugger and VCS, along with unique educational features such as “fill in the missing code” exercises, intelligent hints, checks, smart suggestions, code auto-completion, and much more.

So, what’s inside, besides the PyCharm Community Edition?

• Special new Educational project type. From a student’s point of view, an Educational project is like an interactive course that includes tasks and files for editing, and a Check button that gives instant feedback and scores your assignment. With this type of project, teachers can create courses or assignments with lessons and tasks, create exercise code, define expected results, write tests that will work in the background. In particular, they can employ the “fill in the missing code” educational technique where you ask a student to insert the correct code in an already existing code sample.
• A greatly simplified interface to make the learning curve as easy as possible. The advanced tools are hidden by default and may be activated as you progress.
• On Windows, Python is installed together with PyCharm, with no additional installation required. Linux and Mac OS installers automatically detect a system interpreter. All you need to start learning is just to install PyCharm.

Possible Applications

PyCharm Educational Edition can be used in MOOCs, self-studying courses or traditional programming courses. In addition to going through interactive courses, you can also use normal Python projects and the integrated Python console, as well as the debugger, VCS, and everything else that PyCharm already offers.

What to do next?

Don’t wait any longer — download PyCharm Education Edition for your platform and start learning Python programming today!

For more details and learning materials, visit the PyCharm Educational Edition website and check the Quick Start guide to get rolling. Or, for a quick visual overview, watch this introductory video:

Then, get involved:

• Spread the word about this tool
• Follow us on twitter
• Report bugs in our public issue tracker
• Discuss and share in our forum
• And if you need any help, you’re always welcome to contact our professional support team

Read our blog to stay tuned for news, updates and everything that goes on with PyCharm Educational Edition. And do give us feedback on how we’re doing.

Did you know?
JetBrains recently launched the Free Student License program. With this program any student or educator can use any JetBrains product for free!

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Develop with pleasure!
JetBrains PyCharm Team