It requires manual setup for GNU compiler. It also doesn't have dark-theme which is unacceptable.

I can say for shore that I am pleased with Code::Blocks and all functions it has to offer.

Code::Blocks looks out dated and a new interface would be refreshing. Code::Blocks does not have an up-to-date linter to highlight wrong code and suggest most relevant code.

It's an excellent tool for programmers at both the novice and advanced levels thanks to its straightforward design, support for numerous programming languages, and potent features.

One of the best things with this IDE is that it does not require PC or Laptop with high specification, it can basically run on anything these days.

A very easy to use IdE with a free access makes it the best choice for c/c++ programmers and provide great features that makes the user experience very smooth.

As a student pursuing a degree in CS at the college level, I found Code::Blocks to be a useful and user-friendly IDE for my programming projects. It had a good interface and was easy to navigate.

It also has some integration features with third party applications which makes it more useful in real life.

The software itself its so  good for people that are new to a program language and how to code, I like it so much when I first started coding, it offers so much tools and its very simple.

The platform is really easy and flexible to use, even with not much computer knowledge you will be able to  use it, which is really great for one open-source IDE.

I found it really interesting and easy to use for all programming and coding rookies, which was one of my part time jobs ( teaching beginners programming).

There is also no in-line code suggestions, so it can be difficult and tiring to figure out bugs in your code.

C::B is comparatively old to others and thus lacks some features which are mainstream in its counterparts. It also faces some problems in terms of spell checker and profile template.

I first started using Code::Blocks in my computer science grad school and it was very helpful. Since there I used it a long time and all my needs were satisfied.

The product does the basic job yeah You can have color themes on different code syntaxes, compilation is there and the other fundamental things, like a debug/output window.

Using CodeBlocks IDE for mentoring new members in the development team. Most of the members love working with the IDE due to its simplicity and ease of operation.

My experience was absolutely great and good, I really love this software.

It doesn't have much support for all the new languages and frameworks.

As a college student studying computer science, I found that Code::Blocks was a great tool for my programming projects. It had a user-friendly interface and was easy to navigate.

The software can be buggy at times, an its interface is too outdated for the present times. It requires manual setup of GNU compiler, and the window itself can be confusing for a beginner.

Overall, I only have the best experience with it and I highly recommend this open-source IDE.

It was a happy experience, I improved my coding abilities and this is also due to codeblocks.

It has a super clean UI and easy to use interface. The IDE also comes with a lot of other features like debugger, editor themes, and keymap configurations.

It looks outdated and dull, and it is not the most thrilling of experiences to code in Code::Blocks.

Code::Blocks is a overall very Good Integrated Development tool which supports almost all the programming languages.

Overall C::B is a stable IDE with enough features to provide easy development in C/C.

It's easy to use, interactive and developer friendly.

I liked the most about Jupyter notebook is it is the best GUI interpreter for executing python code and i liked the Jupyter notebook shortcuts.

What i liked most is that Jupyter notebook allows you to go step by step trough your code. This allows me the user to effectively find and solve issues and errors and add markdown where required.

Last but not least, when it come to visualising data for instance using Python libraries, such as matplotlib or seaborn, Jupyter Notebook has a very clean and solid graph.

Additionally, there are many resources and extensions accessible thanks to the vibrant Jupyter Notebook community.

Shift+enter will execute the code in next line that is probably the best feature that helps while lerning python language.

I dislike that it starts up in your browser instead of as an app.

Application software development is a quality that will make you love this job for beginners.

You can integrate different codes, from python and R, making easy to document the progress in the development of new software.

Jupyter notebook is very intuitive and easy to use. As a student learning programming for the first time, Jupyter has been very helpful and a good introductory tool.

Overall its a very useful and friendly interface tool for learning python and R.

Multiple modes to save the notebook hence good for demos purposes, training, and storing in a repository for reference at a later date. Open source - good community support.

I love it and I use it way more than other IDEs for python.

The application is very easy to use. The interface is simple and user friendly.

The UI is very basic and few a times the kernal stops responding and have to interrupt and restart kernal.

Furthermore, with the Jupyter notebook, we plotted scientific plots to extract insights from the data and next built a model to predict disruptions in the business processes.

Runtime and stability still a problem as any other web-based applications. Missing auto-correct/format feature.

I started using Jupyter Notebooks while was learning to program on Python as a Data Scientist. I was pretty happy for its functionality and ease of use.

Writing the notebooks is easy and I can save it to share with others so that we can work on the same thing.

The front page, where you can see all the files you have, can be a bit messy.

Very impressed with the experience so far, you can learn/implement coding from anywhere that has a connection, not only for yourself but also easy to share/co-operate with your team.

I used this one for my web based financial modelling project. Worked like gem in the end, got a good score in the post graduation.

However, for advanced programmers, It could be improved by adding more features like integration with other software tools etc.

On some rare occasions, it doesn't execute properly or gives weird errors. Some notebooks aren't marked so one isn't sure if they are compatible with python 2 or 3.

The best part is I can run it easily from any browser or use it on the cloud.

It is a very user friendly software. The cool thing about it is that it can let you run your code line by line and it's executable using several different programming languages.

Overall experience using Jupyter notebook is best, I am using Jupyter notebook daily to write python codes.

With a wealth of features that make it a popular option for many users, Jupyter Notebook is an effective tool for data science, research, and education.

Web-based so very easy to implement. Friendly user interface really helps new comers who just got into coding.

The Jupyter Notebook has very less disadvantages one of those is the sometimes we need to manually close all the running kernals.

US Dollar

Code::Blocks is an open-source Integrated Development Environment (IDE) that enables developers to create, launch and handle coding operations for C++, C and Fortran languages. The platform allows organizations to design and store custom templates in a centralized repository and update notes on projects for reference.


Code::Blocks includes multi-platform capabilities, which allow users to develop, compile, test and debug multiple source codes on Mac, Linux and Windows operating systems. It offers a variety of features such as audit trail, custom abbreviations, auto versioning, automated code completion, syntax highlighting, modification tracking, to-do lists and more. Additionally, coding professionals can maintain logs to store error reports, search results, compiler messages and other data.


Code::Blocks supports integration with various third-party plugins to embed new features and extend functionalities of the application. It is available for free and support is provided via FAQs and documentation.



LongDescription

Web App Development

Application Management

Graphical User Interface

Compatibility Testing

Access Controls/Permissions

Pre-built Templates

Mobile Development

Collaboration Tools

Data Import/Export

Version Control

Custom Development

Integrated Development Environment

Reporting/Analytics

Debugging

Software Development

Third-Party Integrations

Data Modeling

For Developers

Email/Help Desk

FAQs/Forum

Knowledge Base

Self-Employed

2-10

11-50

51-200

201-500

501-1000

1000+

Code::Blocks

JupyterLab is an open-source web application implementing the Jupyter interactive computing environment. As a multi-user system with many different roles and workflows, JupyterLab provides a flexible interface for configuring different types of work and exploring data. The modular design allows extensions to add functionality to the core components of JupyterLab, including workspace management, file storage, and the notebook interface for entering text, code and results.

Code::Blocks vs The Jupyter Notebook

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