In my projects, I work with several datafiles coming from various data sources. Hence, multiple python scripts need to be created and these scripts are dependent on each other for executions. Thus, Spyder is precisely what I require for my data analysis tasks where several scripts run together to meet my business requirements.

Mostly used for scientific computing, Spyder has a user-friendly GUI which provides features such as code completion, text highlighting and variable exploration. It is an open source tool which gives access to several scientific libraries to drive optimal model creation. It is generally used in projects where multiple python scripts refer each other.

One of the biggest drawbacks of Spyder is that it limited to Python programming language only. Similar to Jupyter notebooks, Spyder also cannot handle large datasets, and is always run on fixed RAM allocations. Thus, it requires more time to execute complex queries.

I am very much happy to start my coding practices with spyder because it was so interactive and I have learned more details on the coding part while using the tool. I used to play with the data doing different transformations and checking out. I always recommend to my juniors who are starting with python and data science-related practices.

Very first, I love the interactive console which enables me to execute line-to-line commands and check out the data transformations without the need to run whole scripts. I love the variable explorer pannel where we can see all the data loaded including the datatype, size, min/max values for images ...etc. The debugger also looks impressive where we can set up breakpoints to stop the code execution at any point. It has automatic indentation and I also love the extension "kite" which provides detailed syntax when required. Particularly for beginners, I strongly recommend spyder because of its interactive console you get all the details of every line execution.

It is a little slow when starting up the tool and I think the plots section can be more interactive when compared to VScode and a few others.

Although it is not suitable for production-related tasks, the best thing is it's free.

It helps me debug each code line interactively and run unit tests.

Limited to python only and the UI is not up to the mark

Overall, I think Spyder makes me productive with all of its features.

I like its seamless integration with python which makes it great for developing python scripts.

While it's good for writing python code in text files, I think it would be great to have support for other formats too like python notebooks.

It is a great help to develop apps and create new ways to analize your data.

You can import all your work from python and apply to a new interfase that helps to improve your work.

Sometimes when you download your apps trough windows CMD you need to reinstall all the libraries.

I like the fact that I can write complex data management algorithms in Python with a notebook, being able to review them and execute them even when I am travelling and I cannot use my main machine. I find it easy to use for novice users, even though help could be made a bit more interactive (dynamic suggestions based on what you are doing, rather than a long tutorial upon first use). Debugging functions are fine.

Spyder provides a full development environment and is frequently updated and improved. The variable explorer makes it easy to ensure that data management steps are producing the desired results. Help on function/object syntax is good, although sometimes a bit slow on my machine.

I wonder whether Spyder could be re-written in a more streamlined way to improve efficiency and response time. Also, to the best of my knowledge, it lacks a simple interface for cooperative development (e.g., the ability to directly manage a Github repository).

Is perfect to develop apps and software that can facilitate your work.

Spyder is a great tool to improve your skills in programming and analyzing data.

You need to download the libraries when you resintall a software that you create, but is not a big issue.

I develop data science projects by processing the data I get from Kaggle on this application.

You can write any python language you want. Especially when you write variable windows and code, it's nice that the help window opens and prints the documentation of the function. Easy to use and free.

Visually, it remains weak compared to other applications.

I started my career in using the editor at the university a year ago, and I loved it because I used a lot of programs with it, but let me be honest, when I reach the state of professionalism in the future, I think I will use other editors to handle larger projects.

Since my early beginnings in programming, especially Python, I have searched for many editors that help me master and learn the language, and I found that many recommend using the Spyder from Anaconda editor rather than the rest, and after starting with it, I discovered why everyone advised to use it. I noticed that it is a very easy program to deal with, the user interface is flexible and uncomplicated, unlike the editor PyCharm, which I used for several days and returned to the editor Spyder It is suitable for all beginners in the field of programming and I highly advise them to use it. The editor works on Windows and Linux, it is enough that it is open source and free.

After I used Pycharm editor, I noticed that it has more keyboard shortcuts than Spyder editor, this makes it easier for the user to save time. Also, Spyder does not deal with large files and projects, unlike PyCharm.

I think spyder is a great IDE to use for bigger projects and code which intertwines with each other. If you need a general purpose IDE, id suggest something like Jupyter Notebooks. I also love how this comes with the anaconda distribution as well.

I think the beautiful thing about Spyder is its UI and that it comes integrated with the Kite autocomplete. It helps a lot in taking multiple datasets,importing them into dataframes and spitting out conclusions. Although I use jupyter notebooks on a daily basis, Spyder is my go to for projects.

There is a lot of lag at points. Compared to IDE's which use your browser to run, Spyder lags a lot sometimes.

Spyder has an ideal interface for having the codes and the output displayed side by side, which is highly illustrative for people who just start to learn Python or for those who do a lot of graphical work. I have also had codes that crash other IDEs but for some reason can be rendered in Spyder.

Compared to other Python IDEs, Spyder might not be the most interactive. It is not designed as a notebook, so it might not be the best choice for publishing Python tutorials.

First of all, it is important to mention my coding background - I started with R, and of course, RStudio. I knew I want to learn Python as well, but many interfaces seemed unmanageable. Finally, after consulting in forums online, I got recommended to use the RStudio layout on Spyder. And it worked! A year later, I am comfortable writing Python. I like that you can select from several different layouts and that there is the ability to run code in chunks, which makes debugging easier.

There is some annoying stuff, like Kite got installed with it and then kept bugging me each time Spyder started up. Also, I wouldn't had known Spyder had different layouts if not for the helpful online citizens I talked to - perhaps it should be made more apparent.

We used spyder to develop python code to handle data from log files. We handled huge volumes of log data; we analysed them in near real-time, transformed them and standardized them before storing them in a database. We did all the above processing and accessed the database using spyder. Following this, we generated customised reports using libraries supported in spyder. Next, we performed data analysis to extract insights and provide recommendations to stakeholders. On top of these, we used machine learning to generate models to predict any disruptions in the business processes.

Easy and intuitive interface to get started Generate multiple customized plots that aid in scientific analysis Handle large amounts of data easily with optimal usage of memory Efficiently generate reports, perform scientific analysis, negligible disruptions Excellent support for code within the application itself

Increase the number of libraries supported currently More emphasis on libraries for intelligent algorithms, deep learning

Programmo in Python tramite Spyder da ormai tre anni, la curva di apprendimento è stata rapidissima, e la versatilità del programma è eccellente. Che si voglia farne un utilizzo amatoriale o scientifico, il programma, data la sua modularità, è in grado di adattarsi a pressoché qualsiasi esigenza.

Spyder permette di installare qualsiasi libreria reperibile on-line, l'estensione delle funzionalità è quindi potenzialmente infinita.

L'installazione delle librerie aggiuntive non è sempre immediata. Spesso è necessario controllare accuratamente dipendenze e compatibilità. Fortunatamente la community di utilizzatori in grado di fornire supporto è molto estesa, quindi nonostante le difficoltà una soluzione è sempre a portata di mano.

I would say my overall experience with IDE has been pleasant I enjoyed it and wrote a lot of software through the help of this IDE. It has caused any major issues with me however when I became more professional in my career I would use it only for certain things rather than for everything. In short I would recommend it for early career software engineers and data analysis who use python. Once you become more professional you might consider other products certain types of work.

This software is extremely approachable for beginners. It makes writing and running python straight forward. I like how the layout is simplistic and fairly easy to navigate with relative ease despite the sheer amount of functionalities present in the IDE. The hotkeys and shortcuts are also very helpful. I would recommend this product to beginner python software developers and data analysts whom use python. I believe it will serve you well.

There are some problems with Spyder. The start-up time for the application is slow, so it takes a fair amount of time to bootup, however it is still under 5 which is not very bad for IDEs in general but still it is a con none the less. It lags sometimes, perhaps because of different environments. Other than that no major problems. - slow start-up. - you occasional lag.

Especially when I first started data science projects, the variable explorer made my job a lot easier. Being able to examine the data frame and see variables, lists, dictionaries, and types is essential. The themes are beautiful. The application is easy to use and practical. I don't need to install the extension. You can access library documents. Kite enriches the application. Its performance is very good. Console and debugger successful.

It freezes and won't turn on while deep learning works. I need to change the location of the file. So it doesn't try to reopen that code. I would love to see the visualizations in a better interface.

My overall experience with Spyder is good.

I like that Spyder alarms me when the syntax of my code is not written correctly. Spyder highlights this incorrect syntax with a different color. Also, I like that Spyder doesn't need a browser to run on and I can integrate it and other 3rd party applications.

I don't like that all the code is written in one cell which makes it hard to organize my code and split it into stages. Also, i don't like the interface of Spyder, and I can't switch into dark mode. Spyder doesn't allow me to present my code in an interactive way.

Its has been very wonderful and excellent using this software. Ensuring a real-time technical analysis of my stock and transactions

It helps in managing my portfolio efficiently and generate profits

Am ok with Spyder. I can't think of anything that I don't like about the application up to date.

Environnement simple pour développer en Python

Spyder ne considère que le Python et la plupart des projets regroupent plusieurs langages

This is a very dynamic software for Python - specially great for beginners. It works great on Windows as well as Linux based systems. It is great for handling big data, data wrangling, running models, and data visualization for academic purposes.

This software is primarily only for Python and you can't use other programming languages here.

Overall it helped to implement machine learning in python very effectively.

It was very easy to debug my code due to the user interface. Also the UI allows me to choose and use different layouts which was very useful to me while i used spyder for a machine learning course. Also, it generates results and figures as fast as MATLAB does.

With regards to machine learning, I felt that the learning rate was too insensitive as I felt the learning rate was too flat.

Overall, can't imagine my life without this. As a researcher writing thousands of lines of Python, Spyder empowers me with tools that makes life easier

Everything about Spyder is amazing as it equips users with a clean UI/UX and powerful tools for debugging and variables and data visualization. Importing new Python packages is also made seamless with Anaconda.

Can't think of any con as it is truly flawless.

Spyder is an excellent tool for the development and debugging of short sections of code. I'd wholeheartedly recommend it, especially as it is free!

Spyder is an excellent free tool for python development and debugging. It's easy to use, if you've a grasp of python already. The separate output window is a very useful addition, especially for checking and debugging short sections of code.

Spyder lacks the oomph to deal with larger data sets; for something like that I'd use the Jupyter Notebook.

It is amazing and runs fast on Mac and easy to debug code which is really important

The UI is amazing, where you can see the colour indented code, the plots and output, it also comes with the terminal too!

First time users might have some problems

This was a very intuitive editor for me to work with. I'm mainly using it with my educational path and have been satisfied with my entire experience so far. There are a lot of useful bits and pieces of the Spyder design that make coding easier. I've reached the point where it's hard for me to write code outside of Spyder.

I've had some issues with bugs popping up after updates so I ended up deciding to postpone my updates until I reach a point when I know I won't need to use it for some time.