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Profound Python
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Book Synopsis Profound Python Libraries by : Önder Teker
Download or read book Profound Python Libraries written by Önder Teker and published by Godoro. This book was released on 2022-07-08 with total page 207 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book contains Python libraries used in many applications. Internet, Downloads, JSON, REST are covered. Utilities such as time, random, regular expressions are included. The operating systems & process are explained in detail. File system operations and Pathlib are covered. Some introductions to Big Data & Artificial Intelligence are added. CSV, Samples are explained as a preperation for data science. Visual libraries such as PIL & Matplotlib are included. Speech Recognition is covered. Finally Tk is is explained & a full sample application is supplied.
Book Synopsis Profound Python Data Science by : Önder Teker
Download or read book Profound Python Data Science written by Önder Teker and published by Godoro. This book was released on 2023-11-26 with total page 232 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book covers data science topics in Python language. Libraries such as Numpy, Matplotlib, Pandas, Scipy are explained in detail. In addition to data science, the book contains the usage of many libraries for developers of Python. The basic knowledge needed to use Artificial Intelligence, Machine Learning, Natural Language Processing, Computer Vision features are covered. The book contains tools for data analysis and business intelligence.
Download or read book Profound Python written by Önder Teker and published by Godoro. This book was released on 2021-08-07 with total page 328 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book starts the Python language from the basics and then intermediate and advanced topics are covered. After functional programming is explained in detail, object-oriented programming features such as classes, inheritance, abstract classes, polymorphism are described. Data structures and collections are given for both fundamental and advanced usage. The book contains new and advanced features such as magic functions, type checking.
Book Synopsis Python Programming, Deep Learning by : Anthony Adams
Download or read book Python Programming, Deep Learning written by Anthony Adams and published by Anthony Adams. This book was released on 2021-12-17 with total page 315 pages. Available in PDF, EPUB and Kindle. Book excerpt: Easily Boost Your Skills In Python Programming & Become A Master In Deep Learning & Data Analysis! 💻 Python is an interpreted, high-level, general-purpose programming language that emphasizes code readability with its notable use of significant whitespace. What makes Python so popular in the IT industry is that it uses an object-oriented approach, which enables programmers to write clear, logical code for all types of projects, whether big or small. Hone your Python Programming skills and gain a sharp edge over other programmers the EASIEST way possible... with this practical beginner’s guide! In his 3-in-1 Python crash course for beginners, Anthony Adams gives novices like you simple, yet efficient tips and tricks to become a MASTER in Python coding for artificial intelligence, neural networks, machine learning, and data science/analysis! Here’s what you’ll get: ✅ Highly innovative ways to boost your understanding of Python programming, data analysis, and machine learning ✅ Quickly and effectively stop fraud with machine learning ✅ Practical and efficient exercises that make understanding Python quick & easy And so much more! As a beginner, you might feel a bit intimidated by the complexities of coding. Add the fact that most Python Programming crash course guides make learning harder than it has to be! ✓ With the help of this 3-in-1 guide, you will be given carefully sequenced Python Programming lessons that’ll maximize your understanding, and equip you with all the skills for real-life application! ★ Thrive in the IT industry with this comprehensive Python Programming crash course! ★ Scroll up, Click on “Buy Now”, and Start Learning Today!
Book Synopsis Transmigrate with Profound Sky by : Yu ZhouLangZi
Download or read book Transmigrate with Profound Sky written by Yu ZhouLangZi and published by Funstory. This book was released on 2019-11-08 with total page 965 pages. Available in PDF, EPUB and Kindle. Book excerpt: Do you want to know what would happen when the 'Nine Yang Divine Technique' in the novel appeared in the real world? Due to the accident, Li Xiaofeng obtained the ability to travel back and forth between the world of novels and reality. Furthermore, he realized that the martial arts of this dream-like world could be used in the real world, so the legend began ...
Book Synopsis Deep Learning with Python by : Francois Chollet
Download or read book Deep Learning with Python written by Francois Chollet and published by Simon and Schuster. This book was released on 2017-11-30 with total page 597 pages. Available in PDF, EPUB and Kindle. Book excerpt: Summary Deep Learning with Python introduces the field of deep learning using the Python language and the powerful Keras library. Written by Keras creator and Google AI researcher François Chollet, this book builds your understanding through intuitive explanations and practical examples. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the Technology Machine learning has made remarkable progress in recent years. We went from near-unusable speech and image recognition, to near-human accuracy. We went from machines that couldn't beat a serious Go player, to defeating a world champion. Behind this progress is deep learning—a combination of engineering advances, best practices, and theory that enables a wealth of previously impossible smart applications. About the Book Deep Learning with Python introduces the field of deep learning using the Python language and the powerful Keras library. Written by Keras creator and Google AI researcher François Chollet, this book builds your understanding through intuitive explanations and practical examples. You'll explore challenging concepts and practice with applications in computer vision, natural-language processing, and generative models. By the time you finish, you'll have the knowledge and hands-on skills to apply deep learning in your own projects. What's Inside Deep learning from first principles Setting up your own deep-learning environment Image-classification models Deep learning for text and sequences Neural style transfer, text generation, and image generation About the Reader Readers need intermediate Python skills. No previous experience with Keras, TensorFlow, or machine learning is required. About the Author François Chollet works on deep learning at Google in Mountain View, CA. He is the creator of the Keras deep-learning library, as well as a contributor to the TensorFlow machine-learning framework. He also does deep-learning research, with a focus on computer vision and the application of machine learning to formal reasoning. His papers have been published at major conferences in the field, including the Conference on Computer Vision and Pattern Recognition (CVPR), the Conference and Workshop on Neural Information Processing Systems (NIPS), the International Conference on Learning Representations (ICLR), and others. Table of Contents PART 1 - FUNDAMENTALS OF DEEP LEARNING What is deep learning? Before we begin: the mathematical building blocks of neural networks Getting started with neural networks Fundamentals of machine learning PART 2 - DEEP LEARNING IN PRACTICE Deep learning for computer vision Deep learning for text and sequences Advanced deep-learning best practices Generative deep learning Conclusions appendix A - Installing Keras and its dependencies on Ubuntu appendix B - Running Jupyter notebooks on an EC2 GPU instance
Download or read book Imperial Court written by Mu ZiYun and published by Funstory. This book was released on 2020-05-29 with total page 758 pages. Available in PDF, EPUB and Kindle. Book excerpt: The world is a prison, the years are a lock, the great road is difficult, my heart goes in every direction, breaking through the four seas and the lands, controlling all living things.
Book Synopsis Loser Princess' Counterattack by : Qianyuan Yuyue
Download or read book Loser Princess' Counterattack written by Qianyuan Yuyue and published by Funstory. This book was released on 2020-09-01 with total page 866 pages. Available in PDF, EPUB and Kindle. Book excerpt: She possessed a superpower that could laugh proudly at the world, yet she was transported to the body of a former genius who had been turned into trash by his loved ones. Broken limbs? It was just a small joke, but it would be even more perfect! Destruction of Profound beads? It doesn't matter. Pick a bigger one! You want to end the engagement? That's easy to say, pay the ransom and get lost! You call me trash? He opened his eyes wide, and the scene shocked the entire continent! Why did you push me? Hey, clear it up. The master and servant contract has already been agreed.
Book Synopsis Deep Learning for Data Architects by : Shekhar Khandelwal
Download or read book Deep Learning for Data Architects written by Shekhar Khandelwal and published by BPB Publications. This book was released on 2023-08-16 with total page 251 pages. Available in PDF, EPUB and Kindle. Book excerpt: A hands-on guide to building and deploying deep learning models with Python KEY FEATURES ● Acquire the skills to perform exploratory data analysis, uncover insights, and preprocess data for deep learning tasks. ● Build and train various types of neural networks, including Convolutional Neural Networks (CNNs) and Recurrent Neural Networks (RNNs). ● Gain hands-on experience by working on practical projects and applying deep learning techniques to real-world problems. DESCRIPTION “Deep Learning for Data Architects” is a comprehensive guide that bridges the gap between data architecture and deep learning. It provides a solid foundation in Python for data science and serves as a launchpad into the world of AI and deep learning. The book begins by addressing the challenges of transforming raw data into actionable insights. It provides a practical understanding of data handling and covers the construction of neural network-based predictive models. The book then explores specialized networks such as convolutional neural networks (CNNs), recurrent neural networks (RNNs), and generative adversarial networks (GANs). The book delves into the theory and practical aspects of these networks and offers Python code implementations for each. The final chapter of the book introduces Transformers, a revolutionary model that has had a significant impact on natural language processing (NLP). This chapter provides you with a thorough understanding of how Transformers work and includes Python code implementations. By the end of the book, you will be able to use deep learning to solve real-world problems. WHAT YOU WILL LEARN ● Develop a comprehensive understanding of neural networks' key concepts and principles. ● Gain proficiency in Python as you code and implement major deep-learning algorithms from scratch. ● Build and implement predictive models using various neural networks ● Learn how to use Transformers for complex NLP tasks ● Explore techniques to enhance the performance of your deep learning models. WHO THIS BOOK IS FOR This book is for anyone who is interested in a career in emerging technologies, such as artificial intelligence (AI), data analytics, machine learning, deep learning, and data science. It is a comprehensive guide that covers the fundamentals of these technologies, as well as the skills and knowledge that you need to succeed in this field. TABLE OF CONTENTS 1. Python for Data Science 2. Real-World Challenges for Data Professionals in Converting Data Into Insights 3. Build a Neural Network-Based Predictive Model 4. Convolutional Neural Networks 5. Optical Character Recognition 6. Object Detection 7. Image Segmentation 8. Recurrent Neural Networks 9. Generative Adversarial Networks 10. Transformers
Book Synopsis Everlasting Saint King by : San YangMao
Download or read book Everlasting Saint King written by San YangMao and published by Funstory. This book was released on 2020-05-13 with total page 695 pages. Available in PDF, EPUB and Kindle. Book excerpt: On the continent of the Vast Sky Empire, the experts were as numerous as the clouds. Divine Beasts wreaked havoc, and tens of thousands of clans were present. The impoverished youth had awoken an ancient bloodline. He had risen through adversity, and had been reborn through fire. Cultivating the Primordial Dragon Subduing Secret Art to refine the ancient beast spirit, control the myriad worlds, break all the heavens, ascend to the supreme level, and become an eternal Saint King!
Book Synopsis Neural Network for Beginners by : Sebastian Klaas
Download or read book Neural Network for Beginners written by Sebastian Klaas and published by BPB Publications. This book was released on 2021-08-24 with total page 300 pages. Available in PDF, EPUB and Kindle. Book excerpt: KEY FEATURES ● Understand applications like reinforcement learning, automatic driving and image generation. ● Understand neural networks accompanied with figures and charts. ● Learn about determining coefficients and initial values of weights. DESCRIPTION Deep learning helps you solve issues related to data problems as it has a vast array of mathematical algorithms and has capacity to detect patterns. This book starts with a quick view of deep learning in Python which would include definition, features and applications. You would be learning about perceptron, neural networks, Backpropagation. This book would also give you a clear insight of how to use Numpy and Matplotlin in deep learning models. By the end of the book, you’ll have the knowledge to apply the relevant technologies in deep learning. WHAT YOU WILL LEARN ● To develop deep learning applications, use Python with few outside inputs. ● Study several ideas of profound learning and neural networks ● Learn how to determine coefficients of learning and weight values ● Explore applications such as automation, image generation and reinforcement learning ● Implement trends like batch Normalisation, dropout, and Adam WHO THIS BOOK IS FOR Deep Learning from the Basics is for data scientists, data analysts and developers who wish to build efficient solutions by applying deep learning techniques. Individuals who would want a better grasp of technology and an overview. You should have a workable Python knowledge is a required. NumPy knowledge and pandas will be an advantage, but that’s completely optional. TABLE OF CONTENTS 1. Python Introduction 2. Perceptron in Depth 3. Neural Networks 4. Training Neural Network 5. Backpropagation 6. Neural Network Training Techniques 7. CNN 8. Deep Learning
Book Synopsis Machine Learning and Deep Learning Using Python and TensorFlow by : Shailendra Kadre
Download or read book Machine Learning and Deep Learning Using Python and TensorFlow written by Shailendra Kadre and published by McGraw Hill Professional. This book was released on 2021-04-29 with total page 556 pages. Available in PDF, EPUB and Kindle. Book excerpt: Understand the principles and practices of machine learning and deep learning This hands-on guide lays out machine learning and deep learning techniques and technologies in a style that is approachable, using just the basic math required. Written by a pair of experts in the field, Machine Learning and Deep Learning Using Python and TensorFlow contains case studies in several industries, including banking, insurance, e-commerce, retail, and healthcare. The book shows how to utilize machine learning and deep learning functions in today’s smart devices and apps. You will get download links for datasets, code, and sample projects referred to in the text. Coverage includes: Machine learning and deep learning concepts Python programming and statistics fundamentals Regression and logistic regression Decision trees Model selection and cross-validation Cluster analysis Random forests and boosting Artificial neural networks TensorFlow and Keras Deep learning hyperparameters Convolutional neural networks Recurrent neural networks and long short-term memory
Book Synopsis Python Interviews by : Michael Driscoll
Download or read book Python Interviews written by Michael Driscoll and published by Packt Publishing Ltd. This book was released on 2018-02-28 with total page 367 pages. Available in PDF, EPUB and Kindle. Book excerpt: Mike Driscoll takes you on a journey talking to a hall-of-fame list of truly remarkable Python experts. You’ll be inspired every time by their passion for the Python language, as they share with you their experiences, contributions, and careers in Python. Key Features Hear from these key Python thinkers about the current status of Python, and where it's heading in the future Listen to their close thoughts on significant Python topics, such as Python's role in scientific computing, and machine learning Understand the direction of Python, and what needs to change for Python 4 Book Description Each of these twenty Python Interviews can inspire and refresh your relationship with Python and the people who make Python what it is today. Let these interviews spark your own creativity, and discover how you also have the ability to make your mark on a thriving tech community. This book invites you to immerse in the Python landscape, and let these remarkable programmers show you how you too can connect and share with Python programmers around the world. Learn from their opinions, enjoy their stories, and use their tech tips. • Brett Cannon - former director of the PSF, Python core developer, led the migration to Python 3. • Steve Holden - tireless Python promoter and former chairman and director of the PSF. • Carol Willing - former director of the PSF and Python core developer, Project Jupyter Steering Council member. • Nick Coghlan - founding member of the PSF's Packaging Working Group and Python core developer. • Jessica McKellar - former director of the PSF and Python activist. • Marc-André Lemburg - Python core developer and founding member of the PSF. • Glyph Lefkowitz - founder of Twisted and fellow of the PSF • Doug Hellmann - fellow of the PSF, creator of the Python Module of the Week blog, Python community member since 1998. • Massimo Di Pierro - fellow of the PSF, data scientist and the inventor of web2py. • Alex Martelli - fellow of the PSF and co-author of Python in a Nutshell. • Barry Warsaw - fellow of the PSF, Python core developer since 1995, and original member of PythonLabs. • Tarek Ziadé - founder of Afpy and author of Expert Python Programming. • Sebastian Raschka - data scientist and author of Python Machine Learning. • Wesley Chun - fellow of the PSF and author of the Core Python Programming books. • Steven Lott - Python blogger and author of Python for Secret Agents. • Oliver Schoenborn - author of Pypubsub and wxPython mailing list contributor. • Al Sweigart - bestselling author of Automate the Boring Stuff with Python and creator of the Python modules Pyperclip and PyAutoGUI. • Luciano Ramalho - fellow of the PSF and the author of Fluent Python. • Mike Bayer - fellow of the PSF, creator of open source libraries including SQLAlchemy. • Jake Vanderplas - data scientist and author of Python Data Science Handbook. What you will learn How successful programmers think The history of Python Insights into the minds of the Python core team Trends in Python programming Who this book is for Python programmers and students interested in the way that Python is used – past and present – with useful anecdotes. It will also be of interest to those looking to gain insights from top programmers.
Download or read book Salvage the World written by Dan DanXia and published by Funstory. This book was released on 2020-06-10 with total page 886 pages. Available in PDF, EPUB and Kindle. Book excerpt: It was said that the wind and the clouds of the world surged, and the rivers of time surged. People said that the sky and the sky were long and endless, but the stars moved like smoke, and in the end, it was just a wind and moon.
Book Synopsis Introduction to Programming in Python by : Robert Sedgewick
Download or read book Introduction to Programming in Python written by Robert Sedgewick and published by Addison-Wesley Professional. This book was released on 2015-05-27 with total page 1487 pages. Available in PDF, EPUB and Kindle. Book excerpt: Today, anyone in a scientific or technical discipline needs programming skills. Python is an ideal first programming language, and Introduction to Programming in Python is the best guide to learning it. Princeton University’s Robert Sedgewick, Kevin Wayne, and Robert Dondero have crafted an accessible, interdisciplinary introduction to programming in Python that emphasizes important and engaging applications, not toy problems. The authors supply the tools needed for students to learn that programming is a natural, satisfying, and creative experience. This example-driven guide focuses on Python’s most useful features and brings programming to life for every student in the sciences, engineering, and computer science. Coverage includes Basic elements of programming: variables, assignment statements, built-in data types, conditionals, loops, arrays, and I/O, including graphics and sound Functions, modules, and libraries: organizing programs into components that can be independently debugged, maintained, and reused Object-oriented programming and data abstraction: objects, modularity, encapsulation, and more Algorithms and data structures: sort/search algorithms, stacks, queues, and symbol tables Examples from applied math, physics, chemistry, biology, and computer science—all compatible with Python 2 and 3 Drawing on their extensive classroom experience, the authors provide Q&As, exercises, and opportunities for creative practice throughout. An extensive amount of supplementary information is available at introcs.cs.princeton.edu/python. With source code, I/O libraries, solutions to selected exercises, and much more, this companion website empowers people to use their own computers to teach and learn the material.
Book Synopsis Destined Martial God by : Yan YunYuQi
Download or read book Destined Martial God written by Yan YunYuQi and published by Funstory. This book was released on 2019-12-08 with total page 706 pages. Available in PDF, EPUB and Kindle. Book excerpt: When Yu Haoran woke up again, he had gone back to more than one hundred years ago, to the year he turned sixteen and his fate was ushered to a turning point. This time, Yu Haoran retained not only all the memories of previous life, but also a domain tower which was omniscient and had the ability of time acceleration. In this life, as a martial cultivator who practiced less than a month and barely entered the early period of First Level Martial Disciple, how would Yu Haoran achieve his legendary life relying on the memories of the previous life? ☆About the Author☆ Yan Yun Yu Qi is an outstanding novelist. His works include "The Destiny of God", "The Strongest Reproduction", "My Dantian has a book", "The Best of the Master", "The Anti-Long Ares", a total of five novels. From modern romance to fantasy novels, Yan Yunyuqi can grasp the writing of different styles, which is inseparable from his love of writing and reading from an early age. It is with this enthusiasm that he can continue to insist on creation.
Download or read book The Devil Sovereign written by Mo Zun and published by Funstory. This book was released on 2020-03-02 with total page 784 pages. Available in PDF, EPUB and Kindle. Book excerpt: This was a mysterious continent. It was a completely different continent from Hua Xia. The Buddha of the West, the demons and demons from the Oasis of Hanhai, and the cultivators of Hanzhou ...The several factions were originally living in harmony with each other, but all of this was broken by a person called Beacon Zhang Yan. Han Feng, who crossed over from China, possessed Beacon Zhang Yan and also received the inheritance of the ancient cultivation technique. Would he be able to make a name for himself on this continent? Let everyone know that the sigil of the beacon was Han Feng, and that the Han Feng was the sigil of the beacon!
