Tag: Python

Python Programming


Free Download Python Programming
English | 2023 | ISBN: 9356069336 | 1036 pages | PDF | 14 Mb
Python Programming is designed as a textbook for undergraduate and postgraduate students to provide programming knowledge and enhance problem solving skills. The book begins with the basics of Python programming followed by the basics of algorithms and further focuses on topics like introduction to programming language, looping, functions, and data structures like lists, tuples, sets, dictionary, and strings. It covers both functional programming concepts such as higher order functions an object-oriented programming concepts such as inheritance and polymorphism.

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Python Programming Mastery A Comprehensive Beginner’s Journey through Practical Exercises


Free Download Python Programming Mastery A Comprehensive Beginner’s Journey through Practical Exercises
English | 2024 | ISBN: 1230007295881 | 138 pages | PDF | 2.15 Mb
In our modern lives, computers have seamlessly integrated into nearly every household, becoming indispensable tools. However, for many, the complexity of certain tasks, especially in the realm of computer programming, can be overwhelming. If the mere thought of programming leaves you feeling lost, fear not.

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Python Programming The Basic, Blackhat, Intermediary and Advanced Guide to Python Programming


Free Download Python Programming: The Basic, Blackhat, Intermediary and Advanced Guide to Python Programming (4 in 1 Python Programming Bundle) by Richard Ozer, Trevor Clinger
English | June 21, 2019 | ISBN: B07DVTJQ53 | 9 hours and 54 minutes | MP3 64 Kbps | 272 Mb
Note: This is a 4-in-1 bundle guide for python programming. Take advantage of the cost savings on this bundle deal and learn python programming today!
Python is on the rise in the world of coding and many popular technological devices from the Raspberry Pi to the Linux operating system use Python as a crux for not just education, but implementation. Python can help you code your own software, develop your own games, and even format your own home surveillance system! It is, hands down, one of the most useful coding languages around, and the way it is formatted cuts out a great deal of the fluff that other coding languages have a tendency to be bogged down with. Whether your interest in Python is educational, career-based, or born out of a simple curiosity, it is a programming language you should know, be fluent in, and put on your resume.
This world is quickly evolving into a technology-based society, and knowing a coding language as prominent as Python will not only ensure you a job in the future, but it will provide you with a thick foundation to then build your coding language on, should that be something you are chasing.

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Introducing Python (2nd Edition) Modern Computing in Simple Packages [Audiobook] (2024)


Free Download Introducing Python: Modern Computing in Simple Packages, 2nd Edition (Audiobook)
English | May 09, 2023 | ASIN: B0C1HMDB9P | M4B@128 kbps | 13h 3m | 748 MB
Author: Bill Lubanovic | Narrator: Derek Dysart
Easy to understand and engaging, this updated edition of Introducing Python is ideal for beginning programmers as well as those new to the language. Author Bill Lubanovic takes you from the basics to more involved and varied topics, mixing tutorials with cookbook-style code recipes to explain concepts in Python 3. End-of-chapter exercises help you practice what you’ve learned.
You’ll gain a strong foundation in the language, including best practices for testing, debugging, code reuse, and other development tips. This book also shows you how to use Python for applications in business, science, and the arts, using various Python tools and open source packages.

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Guide To Learning Python Decorators Python Guides


Free Download Guide To: Learning Python Decorators: Python Guides by Matt Harrison, John Edmondson
English | August 12, 2018 | ISBN: B013TF2DO8 | 2 hours | MP3 64 Kbps | 55 Mb
Decorators are pretty common in modern Python. While not strictly necessary, they can reduce code size while enabling control of function input, invocation, and output. They also enable separation of responsibility and DRY. Many explanations of decorators are brief and leave the listener somewhat confused. This book is an attempt to remedy that. It is based on popular tutorials given at PyCon and in Python user groups.

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Deep Learning with Python (Second Edition)


Free Download Deep Learning with Python (Second Edition) by Francois Chollet, Derek Dysart, Manning Publications
English | February 01, 2022 | ISBN: B09RN7QLT3 | 15 hours and 1 minute | MP3 64 Kbps | 272 Mb
Deep Learning with Python has taught thousands how to put the full capabilities of deep learning into action. This extensively revised second edition introduces deep learning using Python and Keras and is loaded with insights for both novice and experienced machine learning practitioners. You’ll learn practical techniques that are easy to apply in the real world and important theory for perfecting neural networks.
About the technology
Recent innovations in deep learning unlock exciting new software capabilities, like automated language translation, image recognition, and more. Deep learning is quickly becoming essential knowledge for every software developer, and modern tools like Keras and TensorFlow put it within your reach – even if you have no background in mathematics or data science. This book shows you how to get started.

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Brief Introduction to Python Testing


Free Download Brief Introduction to Python Testing by Matt Harrison, John Edmondson
English | June 18, 2017 | ISBN: B00ZY9HV18 | 39 minutes | MP3 64 Kbps | 18 Mb
Get the lowdown on unittest and doctest as well as some doctest gotchas.
This book is a portion of Treading on Python Vo1. That book covers beginning Python and syntax. If you are interested in learning Python and testing, check that book out. Otherwise, this book provides a brief introduction to testing with unittest and doctest.
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Beginning Python Programming Learn Python Programming in 7 Days Treading on Python


Free Download Beginning Python Programming: Learn Python Programming in 7 Days: Treading on Python by Matt Harrison, John Edmondson
English | January 28, 2017 | ISBN: B00SWDAZNE | 5 hours and 55 minutes | MP3 | 163 Mb
Introducing Your Guide to Learning Python
Treading on Python is designed to bring developers and others who are anxious to learn Python up to speed quickly. Not only does it teach the basics of syntax, but it condenses years of experience. You will learn warts, gotchas, best practices, and hints that have been gleaned through the years-in just days. You will hit the ground running-and running in the right way.
Python is an incredible language. It is powerful and applicable in many areas. It is used for automation of simple or complex tasks, numerical processing, web development, interactive games, and more. Whether you are a programmer coming to Python from another language, managing Python programmers, or wanting to learn to program, it makes sense to cut to the chase and learn Python the right way. You could scour blogs, websites, and much longer tomes if you have time. Treading on Python lets you learn the hints and tips to be Pythonic quickly.

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Tidy Finance with Python


Free Download Tidy Finance with Python (Chapman & Hall/CRC The Python Series) by Christoph Scheuch, Stefan Voigt, Patrick Weiss, Christoph Frey
English | July 12, 2024 | ISBN: 1032684291, 1032676418 | True EPUB | 246 pages | 2.8 MB
This textbook shows how to bring theoretical concepts from finance and econometrics to the data. Focusing on coding and data analysis with Python, we show how to conduct research in empirical finance from scratch. We start by introducing the concepts of tidy data and coding principles using pandas, numpy, and Descriptionnine. Code is provided to prepare common open-source and proprietary financial data sources (CRSP, Compustat, Mergent FISD, TRACE) and organize them in a database. We reuse these data in all the subsequent chapters, which we keep as self-contained as possible. The empirical applications range from key concepts of empirical asset pricing (beta estimation, portfolio sorts, performance analysis, Fama-French factors) to modeling and machine learning applications (fixed effects estimation, clustering standard errors, difference-in-difference estimators, ridge regression, Lasso, Elastic net, random forests, neural networks) and portfolio optimization techniques.

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