Python
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Python developers profiled: What you use, what you do
A survey of 9,500 developers shows what Python programmers use and what they work on. See how typical you are as a Python developer
Why you should use Python for machine learning
Learn why Python has become the go-to programming language for machine learning and deep learning applications
Anaconda, CPython, PyPy, and more: Know your Python distributions
Learn about the variety of runtimes and distributions available for Python, and the use cases each serves best
The programming languages you should learn now
if you're in the market for a new lingua franca, what you choose next might be influenced by your current language of choice
Introducing Pandas DataFrame for Python data analysis
The open source library gives Python the ability to work with spreadsheet-like data for fast data loading, manipulating, aligning, and merging, among other functions
PyTorch tutorial: Get started with deep learning in Python
Learn how to create a simple neural network, and a more accurate convolutional neural network, with the PyTorch deep learning library
Visual Studio Code joins the Anaconda Python data science toolkit
Microsoft’s Anaconda support is the next step in its open source analytics expansion
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
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
Employers want JavaScript, but developers want Python
Employers also want developers skilled in React.js, Angular, and Node.js—but fewer developers have those skills
Get started with Anaconda Python, the distro for data science
It provides a management GUI, a slew of scientifically oriented work environments, and tools to simplify the process of using Python for data crunching
C completes comeback in programming popularity
The once-faltering language wins Programming Language of the Year award from the Tiobe Index
Julia vs. Python: Julia language rises 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
Virtualenv and venv: Python virtual environments explained
Take advantage of virtual environments in Python 2 and Python 3 to manage conflicts between Python projects
Spark tutorial: Get started with Apache Spark
A step by step guide to loading a dataset, applying a schema, writing simple queries, and querying real-time data with Structured Streaming
Scripting languages slip in popularity
Developers are opting for safer languages, despite ease of use offered by scripting languages like Perl, PHP, and Ruby
Stack Overflow reveals the most-disliked programming languages
Stack Overflow Jobs data shows that developers would prefer not to work with Perl, Delphi, Visual Basic, and PHP
5 essential Python tools for data science—now improved
SciPy, Cython, Dask, HPAT, and Numba all have new versions that aid big data analytics and machine learning projects
At GitHub, JavaScript rules in usage, TensorFlow leads in forks
Python and TypeScript makes big gains in pull requests, while Java slips to third place
Why cloud platforms should invest in the promise of Python
Python has emerged as the language developers want to use more than any other for building data-intensive projects. Python now powers some of the most complex applications on the cloud
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