Profound Python Book in PDF, ePub and Kindle version is available to download in english. Read online anytime anywhere directly from your device. Click on the download button below to get a free pdf file of Profound Python book. This book definitely worth reading, it is an incredibly well-written.
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.
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.
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.
Transmigrate with Profound Sky by Yu ZhouLangZi Pdf
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 ...
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.
Loser Princess' Counterattack by Qianyuan Yuyue Pdf
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.
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!
Deep Learning for Data Architects by Shekhar Khandelwal Pdf
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
Neural Network for Beginners by Sebastian Klaas Pdf
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
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.
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
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.
Algorithms and Data Structures with Python by Cuantum Technologies LLC Pdf
Master Python and elevate your algorithmic skills with this comprehensive course. From introductory concepts to advanced computational problems, learn how to efficiently solve complex challenges and optimize your code. Key Features Comprehensive introduction to Python programming and algorithms Detailed exploration of data structures and sorting/searching techniques Advanced topics including graph algorithms and computational problem-solving Book DescriptionBegin your journey with an introduction to Python and algorithms, laying the groundwork for more complex topics. You will start with the basics of Python programming, ensuring a solid foundation before diving into more advanced and sophisticated concepts. As you progress, you'll explore elementary data containers, gaining an understanding of their role in algorithm development. Midway through the course, you’ll delve into the art of sorting and searching, mastering techniques that are crucial for efficient data handling. You will then venture into hierarchical data structures, such as trees and graphs, which are essential for understanding complex data relationships. By mastering algorithmic techniques, you’ll learn how to implement solutions for a variety of computational challenges. The latter part of the course focuses on advanced topics, including network algorithms, string and pattern deciphering, and advanced computational problems. You'll apply your knowledge through practical case studies and optimizations, bridging the gap between theoretical concepts and real-world applications. This comprehensive approach ensures you are well-prepared to handle any programming challenge with confidence.What you will learn Master sorting and searching algorithms Implement hierarchical data structures like trees and graphs Apply advanced algorithmic techniques to solve complex problems Optimize code for efficiency and performance Understand and implement advanced graph algorithms Translate theoretical concepts into practical, real-world solutions Who this book is for This course is designed for a diverse group of learners, including technical professionals, software developers, computer science students, and data enthusiasts. It caters to individuals who have a basic understanding of programming and are eager to deepen their knowledge of Python and algorithms. Whether you're a recent graduate, or an experienced developer looking to expand your skill set, this course is tailored to meet the needs of all types of audiences. Ideal for those aiming to strengthen their algorithmic thinking and improve their coding efficiency.
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!
Duan Yunfei never expected that a dignified female hero like him would marry a jealous man. Even if he were to meet the Western Lion Protector out of respect, it would still cause him to go into a rage of jealousy."Mu Xianyang, this princess has said that I have business with him. If you dare to be jealous again, this princess will throw you into a bathtub of vinegar."Mu Xianyang almost died of anger when he heard this, "Thirteenth Princess, you were born to this king, and death belongs to this king. Even if you end up taking a bath in a jar of vinegar, you have to accompany me."One day, in order to prove that he loved Duan Yunfei, Mu Xianyang had someone prepare a jar of vinegar and was about to pull Duan Yunfei to take a bath. The corner of Duan Yunfei's lips slightly raised as he thought to himself, 'Mu Xianyang, you really are a cute kid.
