Writing Performant Parallel Python Code

Writing Performant Parallel Python Code

Distinguish IO-bound and CPU-bound applications in Python to write code that runs faster

In what cases is the use of libraries for concurrent application development appropriate and can result in increased performance using Python?

Python Interpreter

To answer this question, we first need to discuss how the Python interpreter works. In the course of the story, when detailing how the interpreter works, we will be referring to CPython, which brings the reference implementation of the Python language and is also the standard and most used interpreter among developers.

CPython is the reference interpreter, created by Guido van Rossum, creator of the Python language. With the popularization of the language, other interpreters were created by the community, such as IronPython (.NET), Jython (JVM), PyPy, Stackless, etc.

When executing the code, the interpreter uses a security mechanism called GIL, or Global Interpreter Lock. This lock structure was originally implemented to eliminate problems related to memory management in competing application scenarios. To execute the interpreter's instructions, it is necessary to obtain control of the GIL by the thread.

This means that only one thread will be running per process during the execution of a Python application.

programming python performance data-science

Bootstrap 5 Complete Course with Examples

Bootstrap 5 Tutorial - Bootstrap 5 Crash Course for Beginners

Nest.JS Tutorial for Beginners

Hello Vue 3: A First Look at Vue 3 and the Composition API

Building a simple Applications with Vue 3

Deno Crash Course: Explore Deno and Create a full REST API with Deno

How to Build a Real-time Chat App with Deno and WebSockets

Convert HTML to Markdown Online

HTML entity encoder decoder Online

Applied Data Science with Python Certification Training Course -IgmGuru

Master Applied Data Science with Python and get noticed by the top Hiring Companies with IgmGuru's Data Science with Python Certification Program. Enroll Now

Data Science Course in Dallas

Become a data analysis expert using the R programming language in this [data science](https://360digitmg.com/usa/data-science-using-python-and-r-programming-in-dallas "data science") certification training in Dallas, TX. You will master data...

50 Data Science Jobs That Opened Just Last Week

Data Science and Analytics market evolves to adapt to the constantly changing economic and business environments. Our latest survey report suggests that as the overall Data Science and Analytics market evolves to adapt to the constantly changing economic and business environments, data scientists and AI practitioners should be aware of the skills and tools that the broader community is working on. A good grip in these skills will further help data science enthusiasts to get the best jobs that various industries in their data science functions are offering.

Python Programming & Data Handling

Python Programming & Data Handling

Basic Data Types in Python | Python Web Development For Beginners

In the programming world, Data types play an important role. Each Variable is stored in different data types and responsible for various functions. Python had two different objects, and They are mutable and immutable objects.