Python Tutorial .pdf

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This document provides an overview of the Python programming language. It discusses the history of Python, noting that it was created in 1989 by Guido van Rossum as a hobby project. Python is now one of the most widely used languages, particularly in areas like data science, machine learning, and web development. The document also outlines why Python is a useful language to learn, noting opportunities in data science, its ease of use, and job stability. Finally, it briefly discusses how Python files are run and interpreted.

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HISTORY OF PYTHON
IN DECEMBER 1989, GUIDO VAN ROSSUM WAS SEARCHING FOR A HOBBY PROJECT
TO KEEP HIM OCCUPIED AROUND CHRISTMAS WEEK. SINCE HE HAD ALREADY BEEN
PLANNING TO WRITE A NEW SCRIPTING LANGUAGE DESCENDED FROM ABC, THAT
WOULD ALSO APPEAL TO UNIX/C HACKERS, HE ENDED UP WRITING AN
INTERPRETER FOR IT.
BEING A BIG FAN OF THE BRITISH COMEDY TROUPE MONTY PYTHON, HE CHOSE TO
CALL THE PROJECT ‘PYTHON’ IN AN IRREVERENT MOOD.
TODAY, IT IS ONE OF THE MOST WIDELY-USED PROGRAMMING LANGUAGES IN THE
WORLD. THE LIST OF TOP PROGRAMMING LANGUAGES BY THE IEEE SPECTRUM HAS
IT AT #1 AND THE TIOBE INDEX HAS IT AT #3. IT IS USED FOR A VARIETY OF
APPLICATIONS AND IT’S A VERY POPULAR LANGUAGE.

PYTHON APPLICATIONS
SCRIPTING – PYTHON IS GREAT FOR SERVER-SIDE AND OTHER SCRIPTING
DATA SCIENCE
MACHINE LEARNING
ARTIFICIAL INTELLIGENCE
GUI AND GAME DEVELOPMENT
WEB DEVELOPMENT
COMPUTER VISION (CV)/ IMAGE MANIPULATION
ROBOTICS
WEB SCRAPING
NETWORK PROGRAMMING
NUMERIC AND SCIENTIFIC COMPUTING
ENTERPRISE APPLICATIONS
PYTHON IS EVERYWHERE. THERE IS NOTHING YOU CAN’T DO WITH IT.
LET’S TAKE A QUICK LOOK AT WHERE IT FINDS USE.

WHY LEARN PYTHON?
Python is the preferred language for Data Science and Machine
Learning.
They are the future and provide well-paying and stable jobs.
Python is fun.
Jobs in Python pays well and jobs will be stable in the future.
Yes, Python is easy to learn. But why should you learn it?
Let’s find out.

RUNNING PYTHON
.py – Python file
.pyc – Compiled bytecode
.pyd – Windows DLL file
.pyo – File created with optimizations
.pyw – Script for Windows
.pyz – Script archive
Python ships with an in-built interpreter (IDLE) that you can also use
as a calculator. You can use an IDE too like PyCharm or the Jupyter
Lab.
Python files may have different extensions:

SUMMARY
Let’s conclude this Python Tutorial with a quick revision.
We have discussed what is Python and how it came into
existence. Further, we also learned about its features and the
reasons behind why one should learn Python.
We have also explored how Python is implemented and how it
runs. I hope now you are clear with the basics of Python from
our article.

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For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2025/06/key-requirements-to-successfully-implement-generative-ai-in-edge-devices-optimized-mapping-to-the-enhanced-npx6-neural-processing-unit-ip-a-presentation-from-synopsys/ Gordon Cooper, Principal Product Manager at Synopsys, presents the “Key Requirements to Successfully Implement Generative AI in Edge Devices—Optimized Mapping to the Enhanced NPX6 Neural Processing Unit IP” tutorial at the May 2025 Embedded Vision Summit. In this talk, Cooper discusses emerging trends in generative AI for edge devices and the key role of transformer-based neural networks. He reviews the distinct attributes of transformers, their advantages over conventional convolutional neural networks and how they enable generative AI. Cooper then covers key requirements that must be met for neural processing units (NPU) to support transformers and generative AI in edge device applications. He uses transformer-based generative AI examples to illustrate the efficient mapping of these workloads onto the enhanced Synopsys ARC NPX NPU IP family.

OpenACC and Open Hackathons Monthly Highlights June 2025OpenACC

The OpenACC organization focuses on enhancing parallel computing skills and advancing interoperability in scientific applications through hackathons and training. The upcoming 2025 Open Accelerated Computing Summit (OACS) aims to explore the convergence of AI and HPC in scientific computing and foster knowledge sharing. This year's OACS welcomes talk submissions from a variety of topics, from Using Standard Language Parallelism to Computer Vision Applications. The document also highlights several open hackathons, a call to apply for NVIDIA Academic Grant Program and resources for optimizing scientific applications using OpenACC directives.

"How to survive Black Friday: preparing e-commerce for a peak season", Yurii ...Fwdays

Crypto Super 500 - 14th Report - June2025.pdfStephen Perrenod

This OrionX's 14th semi-annual report on the state of the cryptocurrency mining market. The report focuses on Proof-of-Work cryptocurrencies since those use substantial supercomputer power to mint new coins and encode transactions on their blockchains. Only two make the cut this time, Bitcoin with $18 billion of annual economic value produced and Dogecoin with $1 billion. Bitcoin has now reached the Zettascale with typical hash rates of 0.9 Zettahashes per second. Bitcoin is powered by the world's largest decentralized supercomputer in a continuous winner take all lottery incentive network.