python-benedict
NumPy
| python-benedict | NumPy | |
|---|---|---|
| 3 | 272 | |
| 1,410 | 26,360 | |
| - | 0.9% | |
| 8.8 | 10.0 | |
| 1 day ago | 7 days ago | |
| Python | Python | |
| MIT License | GNU General Public License v3.0 or later |
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python-benedict
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What are the best Python libraries to learn for beginners?
python-benedict: Dictionary manipulation library
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The hand-picked selection of the best Python libraries and tools of 2022
python-benedict — a dict on steroids
- Released python-benedict 0.24.0
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?
prodict - Prodict, what Python dict meant to be.
SymPy - A computer algebra system written in pure Python
countries-states-cities-database - 🌍 Discover our global repository of countries, states, and cities! 🏙️ Get comprehensive data in JSON, SQL, PSQL, XML, YAML, and CSV formats. Access ISO2, ISO3 codes, country code, capital, native language, timezones (for countries), and more. #countries #states #cities
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
parse_it - A python library for parsing multiple types of config files, envvars & command line arguments that takes the headache out of setting app configurations.
blaze - NumPy and Pandas interface to Big Data
basecrack - Decode All Bases - Base Scheme Decoder
SciPy - SciPy library main repository
bidict - The bidirectional mapping library for Python.
Numba - NumPy aware dynamic Python compiler using LLVM
structured-text-tools - A list of command-line tools for manipulating structured text data
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).