I am learning Python for data science, but my problem is that I still don't understand the difference between Spyder and Jupyter!
I would like you guys to help me to understand the difference, please; I would appreciate that.
Here's just a basic summary of the two tools.
Jupyter is a very popular application used for data analysis. It's an IPython notebook ("interactive python"). You can run each block of code separately. For example, I can print a graph using matplotlib. Create a new block of code and print another graph. There are also cool functions like %timeit that test the speed of your code.
Spyder is an Integrated Development Environment (IDE) for Python like Atom, Visual Studio, etc. I use VS Code and I suggest you install it as well. It's easier to learn and get running. There's also tons of helpful youtube videos due to its popularity.
I prefer to use Jupyter notebook to analyze data whether it be in pandas dataframes or plots. When I'm developing a program or implementing new code on data I already analyzed, I use a text editor like VS Code.
There's a lot more to it, but I think that's all you need to know for now. As you gain more experience you'll learn more about the tools and find your preferences. If you want to know more, there a ton of information about them online with people who can probably explain this much better than I can.
I hope your journey into data science goes well! Just be patient and remember struggling is part of learning. Good luck!
Spyder Pros:
Code completion
Code cells: You can create code cells using Spyder.
Scientific libraries
PDB debugger
Help feature
cons:
Limited to python only.
Bad layout not customizable
Jupyter pros:
Easy to learn
Secure and free server - The Jupyter server can be utilized free of charge.
Keyboard shortcuts makes it easy and fast
Share Notebook
cons:
Not recommended for running long, nonconcurrent errands.
No IDE integration, no linting, and no code-style adjustment.
Read more in detail https://ssiddique.info/pycharm-vs-spyder-vs-jupyter.html
Related
I recently started working with Java and I really like to auto-correction / completion features in IntelliJ.
Does it exist something similar and as powerful for python?
I presume you are using JetBrains IDE so you could try out their PyCharm for python. It's from the same company so I presume that PyCharm's autocomplete features are on par with that of IntelliJ
As I never used IntelliJ, the recommendations below are based on the autocomplete features of PyCharm.
I was using tabnine on vs code and it does support many ide's however I stopped using it now since it is using too much resources on my laptop and I feel that auto complete is kind of distracting (but that is just my opinion). You could also try Github's Copilot, my friend uses it but for reasons mentioned earlier, I didn't try it. These two however, may not be the autocompletes you are looking for as they can basically write your code for you.
I'm trying to start work with this: https://github.com/deepsound-project/samplernn-pytorch
I've installed all the library dependencies through Anaconda console but I'm then not sure how I'm to run the python training scripts.
I guess I just need general help with getting a git RNN in python working? I've found a lot of tutorials that show working from notebooks in Jupyter or even from scratch but can't find ones working from python code files?
I'm sorry if my terminology is backward, I'm an architect who is attempting coding, note a software engineer.
There are instructions for getting the SampleRNN implementation working in terminal on the git page. All of the commands listed on the page are for calling the Python scripts from terminal, not from a Jupyter Notebook. If you've installed all the correct dependencies then in theory all you should need to do is call the terminal scripts to try it out.
FYI it took me a while to find a combination of parameters with which this model would train without running into memory errors, but I was working with my own dataset, not the one provided. It's also very intensive - the default train time is 1000 epochs which even on my relatively capable GPU was prohibitively high, so you might want to reduce that value considerably just to reach the end of a training cycle unless you have a sweet setup :)
I read and heard a lot about Jupyter notebooks recently. I gave them a try and found it terribly obstructing to basically have to use an editor with the functionality of Windows' Notepad. Besides that I feel like I didn't get the fundamental point of Jupyter notebooks:
Can I not achieve everything that Jupyter does by editing plain .py files in any editor that is linked to a Python/IPython console? Specifically, I can edit Python code and run parts of it using the standard Spyder setup
or even with a properly setup Vim or Emacs.
The big difference being of course that any of these three setups gives me incredibly much more power to do all the other things that facilitate coding, like fast editing commands, code completion, debugging, refactoring, ...
You can save results and graphs of your runs like a report.
And it is better readable.
It is very good to share your results with others.
I am teaching a class soon and I want to have users try my platform without the need of installing Python in their computers and to run everything online. I have searched for platforms such as Skulpt, CodeMirror and Trinket and they seem ok for what I want to do. However, I want to develop a GUI for the users to input parameters since there are a lot of options and I don't want users with no Python experience to run the programs from the command line like I do and hide the Python code behind the GUI. I have learnt simplegui recently but I think the GUIs you can create are not visually pleasant and for me this is a big no. I also saw in another post that using Tkinker with a in-browser python implementation is not possible.
So, I would like to know what would be the best combination of in-browser Python implementation and GUI module to reach my goal please?
Thank you so much!
I guess Jupyter could meet your needs. Getting started here.
The Jupyter Notebook is a web application that allows you to create and share documents that contain live code, equations, visualizations and explanatory text. Uses include: data cleaning and transformation, numerical simulation, statistical modeling, machine learning and much more.
The Notebook has support for over 40 programming languages, including those popular in Data Science such as Python, R, Julia and Scala.
I recently installed IPython after hearing about it on this forum. I am looking for an environment that is similar to what might come with MATLAB or RStudio for R.
I was under the impression that IPython would give me that but the version I downloaded for Windows looks very bare. In fact I do not really see a difference between IDLE and IPython except tab completion and history (which I have been wanting) but this is about as much as the interpreter that comes with R which I used to think was hard to work with.
Have I misunderstood the point of IPython? Or is it possible that I have not installed correctly?
I have also downloaded the 'Console' and while I am not convinced that it is working properly, it looks very bare as well.
Komodo looks good but is somewhat costly. Netbeans and Eclipse also look good, but do not seem to be straightforward to install, at least for somebody with my level of knowledge, so it would be good if somebody could verify their compatibility with Python, features, and ease of use for a non-expert user.
I suggest you try Spyder
You can find it here : https://www.spyder-ide.org/
It is perfect for you : it is a lightweight Scientific IDE with the explicit purpose of being similar in feel to matlab.
It has an editor, a console and lots of neat features and plug-ins.
It can use IPython as its console.
IPython is "just" an enhanced python console with pure awesomeness built-in. (actually it's much more : it's a client-server architecture with multiple interfaces to pure magic, in console mode, Qt, and even inside a browser with the Notebook)
Definitely check it out later on when you've used the basic console for a while.
For the context, i've been using Eclipse, pycharm, got tired of those, and i started to ask around what people use, and the one i've heard the most about is sublime text.
You should take a look, maybe it's what you are looking for!
I just saw it's not open source though!
What i'm using now is Ninja-IDE, which is written in python and is open source and seems pretty good! It has plenty of plugins, which includes an IPython plugin
Have you tried the qtconsole backend? It was released after you asked your question.
This is a very lightweight widget that largely feels like a terminal,
but provides a number of enhancements only possible in a GUI, such as
inline figures, proper multiline editing with syntax highlighting,
graphical calltips, and much more.
From the Windows command prompt, enter:
ipython qtconsole