Tag: Python

Using Asyncio in Python Understanding Python’s Asynchronous Programming Features


Free Download Using Asyncio in Python: Understanding Python’s Asynchronous Programming Features by Caleb Hattingh
English | March 10, 2020 | ISBN: 1492075337 | 163 pages | MOBI | 1.14 Mb
If you’re among the Python developers put off by asyncio’s complexity, it’s time to take another look. Asyncio is complicated because it aims to solve problems in concurrent network programming for both framework and end-user developers. The features you need to consider are a small subset of the whole asyncio API, but picking out the right features is the tricky part. That’s where this practical book comes in.

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Python Transformers By Huggingface Hands On


Free Download Python Transformers By Huggingface Hands On: 101 practical implementation hands-on of ALBERT/ViT/BigBird and other latest models with huggingface transformers by Joshua K. Cage
English | 2021 | ISBN: N/A | ASIN: B09CNRDX6P | 204 pages | EPUB | 1.45 Mb
Python Transformers By Huggingface Hands On

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Head First Python, 3rd Edition


Free Download Head First Python, 3rd Edition
English | 2023 | ISBN: 9781492051282 | 274 Pages | EPUB (True) | 31 MB
Want to learn the Python language without slogging your way through how-to manuals? With Head First Python, you’ll quickly grasp Python’s fundamentals by working with built-in data structures and functions. You’ll build your very own web app, which-once it’s ready for prime time-runs in the cloud. You’ll learn how to wrangle data with Python, scrape data from the web, feed data to pandas, and interact with databases. This third edition is a complete learning experience that will help you become a bona fide Python programmer in no time.

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Teach Yourself VISUALLY Python


Free Download Teach Yourself VISUALLY Python by Ted Hart-Davis, Guy Hart-Davis
English | September 7, 2022 | ISBN: 1119860253 | 304 pages | MOBI | 13 Mb
A simple, straightforward, and hands-on roadmap to the world of computer programming with Python

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Python for Chemistry


Free Download Python for Chemistry: An introduction to Python algorithms, Simulations, and Programing for Chemistry
English | 2023 | ASIN: B0BYZLRFG8 | 470 Pages | True EPUB | 7 MB
The objective of this book is to give a gentle introduction to Python programming with relevant algorithms, iterations, and basic simulations from a chemist’s perspective. This book outlines the fundamentals of Python coding through the built-in functions, libraries, and modules as well as with a few selected external packages for physical/materials/inorganic/analytical/organic/ nuclear chemistry in terms of numerical, symbolic, structural, and graphical data analysis using the default, Integrated Development and Learning Environment. You will also learn about the Structural Elucidation of organic molecules and inorganic complexes with specific Cheminformatics modules. In addition to this, the book covers chemical data analysis with Numpy and also includes topics such as SymPy and MatDescriptionlib for Symbolic calculations and Descriptionting.

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Python Machine Learning Projects


Free Download Python Machine Learning Projects: Learn how to build Machine Learning projects from scratch
English | 2023 | ISBN: 9389898269 | 374 Pages | EPUB (True) | 4 MB
The book starts by explaining how important Machine Learning is today and the technology required to make it work. The book then helps you get familiar with basic concepts that underlie Machine Learning, including basic Python Programming. It explains different types of Machine Learning algorithms and how they can be applied in various domains like Recommendation Systems, Text Analysis and Mining, Image Processing, and Social Media Analytics. Towards the end, the book briefly introduces you to the most popular metaheuristic algorithms for optimization.

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Python Data Analysis for Newbies NumpypandasmatDescriptionlibscikit-learnkeras


Free Download Python Data Analysis for Newbies: Numpy/pandas/matDescriptionlib/scikit-learn/keras by Joshua K. Cage
English | 2020 | ISBN: N/A | ASIN: B08HRJ4ZXX | 131 pages | EPUB | 0.90 Mb
Thank you for picking up this book. This book is a beginner’s introduction to data analysis using Python programming. This book is written for the following readers. 1) Interested in machine learning and deep learning 2) Interested in programming with Python. 3) Interested in data analysis. 4) Interested in using Numpy/Pandas/MatDescriptionlib/ScikitLearn. 5) Not interested in building machine learning environments. 6) Not interested in spending a lot of money for learning. 7) Vaguely worried about the new corona epidemic and the future. Many of my friends and acquaintances have started data analysis with a vengeance, only to be satisfied with the day-long process of setting up an environment, and then, after doing MNIST (handwritten numeric image data sets) and iris classification tutorials, they get busy with their day jobs and abandon it for a while.

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