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import networkx as nx import matplotlib.pyplot as plt import Queue as Q def getPriorityQueue(list): q = Q.PriorityQueue() for node in list: q.put(Ordered_Node(heuristics[node],node)) return q,len(list) def greedyBFSUtil(G, v, visited, final_path, dest, goal): if goal == 1: return goal visited[v] = True final_path.append(v) if v == dest: goal = 1 else: pq_list = [] pq,size = getPriorityQueue(G[v]) for i in range(size): pq_list.append(pq.get().description) for i in pq_list: if goal != 1: #print "current city:", i if visited[i] == False : goal = greedyBFSUtil(G, i, visited, final_path, dest, goal
Discussions

I made an online editor that runs matplotlib in your browser
There are good JS/Canvas graph/chart libraries, often interactive. Frontend matplotlib would face the same design limitations like the JS solutions and few more - the ready to plot data has to be provided to it from some sort of backend so in the end you aren't gaining any extras unless you have some very specific and complex charts already configured in matplotlib. Also if you want to plot a lot of data then it will be a lot of memory used by the browser and it's plotted by end user PC so if someone has a weak one, with low amount of RAM it will have problems. And getting good UX/UI is like 90% of the required development time for the project :) And don't forget Excel or Google Sheet charting capabilities. More on reddit.com
๐ŸŒ r/Python
8
7
February 5, 2024
Are there any free websites that let you run Python without installing actual Python?

Checkout Google colab

More on reddit.com
๐ŸŒ r/learnpython
90
260
April 27, 2022
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How fast is the online Python compiler?
Playcode's Python compiler is optimized for speed. Initial load takes 2-3 seconds to download the Pyodide runtime. After that, code execution is near-instant because everything runs locally in your browser. There's no server round-trip, making it faster than traditional online Python interpreters.
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What is a Python compiler?
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Does the Python compiler work offline?
Playcode works offline once loaded. The Python interpreter runs entirely in your browser using WebAssembly (Pyodide), so you can keep coding without an internet connection. Your code is saved locally and syncs when you're back online. The full Python standard library is included.
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Write, Run & Share Python code online using OneCompiler's Python online compiler for free. It's one of the robust, feature-rich online compilers for python language, supporting both the versions which are Python 3 and Python 2.7. Getting started with the OneCompiler's Python editor is easy and fast.
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matplotLib - Python - OneCompiler
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Reddit
reddit.com โ€บ r/python โ€บ i made an online editor that runs matplotlib in your browser
r/Python on Reddit: I made an online editor that runs matplotlib in your browser
February 5, 2024 -

I work in academia, and plotting is one of the most painful things. Most of the time I end up with multiple virtual environments and files spread across my file system with plots for experiments, presentations, or papers. It is especially inconvenient when I want to reuse some old designs.

A couple of weeks ago I found out about Pyodide, which is a Python interpreter compiled to Webassembly that allows to run Python code in the browser, and it supports matplotlib! So I had the idea to create a website similar to Overleaf but for plotting with matplotlib.

The website is just a quick prototype, but it works. You can create multiple projects (which are stored in localStorage). When you select a project, there is a code editor and the plot output. The first time you open a project it takes some time to download Python, but the next executions are really fast IMO (just press "Ctrl/Cmd + S" inside the editor to execute the code). The cool thing is that with Pyodide everything happens in your browser! No servers are involved in executing your code.

You can check it out here: https://matplotlib.online

Features already present:

  • Two columns, one for the code, and one for the plot. Much better than google collab (when the code starts to grow)

  • Import 1-dimensional variables from spreadsheets: We have all the experimental data in spreadsheets, and it's a pain to convert it to Python for plotting. So I implemented a feature where you directly paste one spreadsheet row/column and it converts the data into a Python list.

  • Vim/emacs/sublime text mode

Things I'm planning to add in the future:

  • Render the figure in a different window, to allow an efficient use of dual-screen setups.

  • Allow to optionally create an account to store the scripts in a server (now they reside in the browser storage).

  • I would love to have a feature where I could paste 2-dimensional data from a spreadsheet and get a matplotlib code/plot, just like you do in Google Docs or Excel.

  • Collaborative editing would be awesome but I don't think I will be able to implement it soon.

  • Better design/UX. I'm not a web developer so this is not my strongest skill.

Let me know what do you think about it :)