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How to run Anaconda side by side with other Pythons
Want to use Anaconda alongside other Python distributions? Here’s how to keep those Python installs from stepping on each other’s toes
Microsoft unveils Pylance, its new Python extension for Visual Studio Code
Pylance works with the existing Microsoft Python extension to bring faster type checking and program analysis to Python devs
How to use Python dataclasses
Take advantage of Python dataclasses to make your Python classes less verbose and more powerful at the same time
For data scientists, drudgery is still job #1
Data cleaning and preparation still eats up nearly half the workload of data scientists, according to Anaconda’s new survey
Python may get pattern matching syntax
A proposal under consideration by Python’s development team would finally bring pattern matching statements to the language
3 steps to a Python async overhaul
How to speed up an existing Python program by reworking it to run concurrently using async
How to manage Python projects with Pipenv
Have your Python projects become a rat’s nest? Pipenv provides a clean and easy way to manage virtual environments and packages together
Rust language tops Stack Overflow survey
2020 developer survey finds Rust ‘most loved,’ Python ‘most wanted,’ and Perl, Scala, and Go the ‘top paying’ languages
Julia vs. Python: Which is best for data science?
Python has turned into a data science and machine learning mainstay, while Julia was built from the ground up to do the job
How to use PyInstaller to create Python executables
Take advantage of PyInstaller to package up your Python app into a standalone executable for easy distribution
Kite brings its AI-powered code completion to JavaScript
Originally for Python only, Kite has added a JavaScript-trained machine learning model to its add-on for popular code editors and IDEs
6 Python libraries for parallel processing
Want to distribute that heavy Python workload across multiple CPUs or a compute cluster? These frameworks can make it happen
AWS unveils open source model server for PyTorch
Intended to ease production deployments of PyTorch models, TorchServe supports multi-model serving and model versioning for A/B testing
Python 2 EOL: How to survive the end of Python 2
Python 2 is no longer supported by the Python Software Foundation. Here’s what you can do if you’re stuck with Python 2 in what is fast becoming a Python 3 world
PyTorch 1.5 adds C++ power, distributed training
The powerful deep learning system for Python now makes it easier to integrate high performance C++ code and train models on multiple machines at once
What is Cython? Python at the speed of C
A superset of Python that compiles to C, Cython combines the ease of Python and the speed of native code
Cython tutorial: How to speed up Python
How to use Cython and its Python-to-C compiler to give your Python applications a rocket boost
8 signs you’re doing Python right
If you’re following these eight great Python programming practices, then you’re doing Python right
How to use timeit to profile Python code
With Python’s built-in timeit module, you can measure the performance of your functions or lines of code in one easy step
Review: Nvidia’s Rapids brings Python analytics to the GPU
An end-to-end data science ecosystem, open source Rapids gives you Python dataframes, graphs, and machine learning on Nvidia GPU hardware
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