ipykernel
NumPy
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ipykernel | NumPy | |
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7 | 272 | |
613 | 26,360 | |
2.0% | 1.9% | |
8.5 | 10.0 | |
7 days ago | 4 days ago | |
Python | Python | |
BSD 3-clause "New" or "Revised" License | GNU General Public License v3.0 or later |
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For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
ipykernel
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Why am I so terrible at Python?
The way I work is to use an interactive IPython REPL. It has a lot of features to make interactive development comfortable. I solve a problem incrementally, attempting to get a little piece of code right many times, changing it a little each time to fix bugs. Then I go back and copypaste the lines into a file and tidy it up a little. Then I go back to IPython and solve the next little stage of the problem. Maybe this style of development will be more fitting for you?
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Importing?
IPython
- IPYTHON? What's that??
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Django python manage.py shell up arrow in Git Bash
If you're talking about history in the python shell, you're probably looking for IPython.
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As we smash many of our previous COVID-19 records yet again, here's the recent cases broken down by sex and age groups.
For this kind of thing I mostly use Jupyter and the IPython kernel, with data analysis packages like numpy and pandas and matplotlib for charts.
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Jupyter notebook kernel goes offline
Otherwise you should be able to convert the .ipynb's to .py using the ipython libraries:
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Excel Never Dies
Nice product, I noticed that you are updating the next Jupyter cell; what was your solution to doing that reliably since `set_next_input` is so damn flakey?
I personally grew so frustrated with the state of GUI development in Jupyter that I tried to fix it in such a way that would allow proper message passing between cells and python code (because you can't wait on Comm events).
> https://github.com/ipython/ipykernel/pull/589
But sadly the priorities of big open source projects don't always match your own. So I had to extract that logic into my own kernel.
NumPy
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Dot vs Matrix vs Element-wise multiplication in PyTorch
In NumPy with @, dot() or matmul():
- NumPy 2.0.0 Beta1
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Element-wise vs Matrix vs Dot multiplication
In NumPy with * or multiply(). ` or multiply()` can multiply 0D or more D arrays by element-wise multiplication.
- JSON dans les projets data science : Trucs & Astuces
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JSON in data science projects: tips & tricks
Data science projects often use numpy. However, numpy objects are not JSON-serializable and therefore require conversion to standard python objects in order to be saved:
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Introducing Flama for Robust Machine Learning APIs
numpy: A library for scientific computing in Python
- help with installing numpy, please
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A Comprehensive Guide to NumPy Arrays
Python has become a preferred language for data analysis due to its simplicity and robust library ecosystem. Among these, NumPy stands out with its efficient handling of numerical data. Let’s say you’re working with numbers for large data sets—something Python’s native data structures may find challenging. That’s where NumPy arrays come into play, making numerical computations seamless and speedy.
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Why do all the popular projects use relative imports in __init__ files if PEP 8 recommends absolute?
I was looking at all the big projects like numpy, pytorch, flask, etc.
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NumPy 2.0 development status & announcements: major C-API and Python API cleanup
I wish the NumPy devs would more thoroughly consider adding full fluent API support, e.g. x.sqrt().ceil(). [Issue #24081]
What are some alternatives?
ipython-cells - IPython extension for running code blocks in .py files
SymPy - A computer algebra system written in pure Python
xlwings - xlwings is a Python library that makes it easy to call Python from Excel and vice versa. It works with Excel on Windows and macOS as well as with Google Sheets and Excel on the web.
Pandas - Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
akernel - Asynchronous Python Jupyter kernel
blaze - NumPy and Pandas interface to Big Data
XlsxWriter - A Python module for creating Excel XLSX files.
SciPy - SciPy library main repository
copypaster - Make web forms copy-pasteable.
Numba - NumPy aware dynamic Python compiler using LLVM
pyright - Static Type Checker for Python
Nim - Nim is a statically typed compiled systems programming language. It combines successful concepts from mature languages like Python, Ada and Modula. Its design focuses on efficiency, expressiveness, and elegance (in that order of priority).