The Python Bible Volume 1
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The Python Bible Volume 1
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Author : Florian Dedov
language : en
Publisher:
Release Date : 2019-06-26
The Python Bible Volume 1 written by Florian Dedov and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-06-26 with categories.
LEARN TO CODE PYTHON NOW!Python's popularity is growing tremendously and it's becoming more and more relevant economically and technologically. The fields of application of this language are numerous: - Machine Learning- Data Science- Game Development- Networking & Hacking- Animation- Web Applications- And many more...All of these fields are shaping our future! A lot of progress was already made and there is a lot more to come. If you want to be part of this development, Python is the programming language that you want to learn! It's very easy to learn and has a simple syntax. Nowadays, Python belongs to the most influential and most important languages in the IT world. And the tendency is rising!The Bible of PythonWhy should you spend huge amounts of money and time just to read these 400-500 page books? They are overpriced and very dry to read. Programming is something practical. Of course theory is important but it's possible to keep it simple and precise. This is exactly what you will find in this book! Important theory precisely explained and backed up with lots of practical code. At the same time, you can finish this book in a few days because we are not beating around the bush!In this short first volume of the Python Bible you will get to know the basic concepts and programming structures of the language. You don't need any previous knowledge. This book is for complete beginners. Everything gets explained from scratch. But still you can benefit from reading this book if you have already programmed in your life before.After reading this book and applying what you've been taught, you will be able to develop first simple applications. You will understand basic programming paradigms which will help you to learn not only Python but also other languages like Java or C++. In a nutshell: You will have an amazing basis for your future programming career.You'll have the following skills: - Understanding basic programming paradigms, concepts and structures- Solving simple to intermediate problems in the Python language- Automating simple processes- Easy learning of other programming languages like Java or C++- Development of modular Python applications- Solid basis for advanced programming topics (Machine Learning, Data Science, Finance...)Also, many more parts of this series will follow and you will have everything structured in the most effective way!Excel at your programming career with The Python Bible
An Introduction To Statistical Learning
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Author : Gareth James
language : en
Publisher: Springer Nature
Release Date : 2023-06-30
An Introduction To Statistical Learning written by Gareth James and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-06-30 with Mathematics categories.
An Introduction to Statistical Learning provides an accessible overview of the field of statistical learning, an essential toolset for making sense of the vast and complex data sets that have emerged in fields ranging from biology to finance, marketing, and astrophysics in the past twenty years. This book presents some of the most important modeling and prediction techniques, along with relevant applications. Topics include linear regression, classification, resampling methods, shrinkage approaches, tree-based methods, support vector machines, clustering, deep learning, survival analysis, multiple testing, and more. Color graphics and real-world examples are used to illustrate the methods presented. This book is targeted at statisticians and non-statisticians alike, who wish to use cutting-edge statistical learning techniques to analyze their data. Four of the authors co-wrote An Introduction to Statistical Learning, With Applications in R (ISLR), which has become a mainstay of undergraduate and graduate classrooms worldwide, as well as an important reference book for data scientists. One of the keys to its success was that each chapter contains a tutorial on implementing the analyses and methods presented in the R scientific computing environment. However, in recent years Python has become a popular language for data science, and there has been increasing demand for a Python-based alternative to ISLR. Hence, this book (ISLP) covers the same materials as ISLR but with labs implemented in Python. These labs will be useful both for Python novices, as well as experienced users.
The Spirit Of Python
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Author : Jentezen Franklin
language : en
Publisher: Charisma Media
Release Date : 2013
The Spirit Of Python written by Jentezen Franklin and has been published by Charisma Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013 with Religion categories.
New York Times best-selling author Jentezen Franklin is back with a message that will inspire you to break free and reclaim a life of passion, purpose, and praise.
The Bible Of Algorithms And Data Structures
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Author : Florian Dedov
language : en
Publisher:
Release Date : 2020-08-22
The Bible Of Algorithms And Data Structures written by Florian Dedov and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-08-22 with categories.
The Most Important Skill in Computer Science! The field of algorithms and data structures is one of the most important in computer science. You will rarely be invited to a coding interview at Google, Microsoft or Facebook and not be asked questions about it. This is because these companies know how valuable the skills taught are. It doesn't matter if you are into machine learning, ethical hacking, cyber security or enterprise software engineering. You will always need to be able to work with algorithms and data structures. However, this field is also by many considered to be one of the hardest, since it is so abstract and complex. This is mainly due to the style in which it is taught. Most professors in colleges focus on exact mathematical definitions instead of understanding. And while you can't blame them for doing their job, there are better ways to learn about this subject. This book is for everyone who is interested in an intuitive and simple approach to algorithms and data structures. It is for everyone who is frustrated with memorizing dry formal definitions. This bible covers all the formal definitions that are important and necessary but it mainly focuses on breaking complex things down in a simple way. At the end, you will not only know how to formally analyze algorithms but you will also deeply understand what is happening behind the scenes and why things are the way they are. After Reading This Book You Will Have The Following Skills: - Intuitive understanding of algorithms and data structures - Analyzing the runtime complexity of algorithms - Using the Big O notation - Dissecting and analyzing sorting algorithms (Bubble Sort, Merge Sort, Quick Sort...) - Understanding and applying graph theory and related algorithms (BFS, DFS, Kruskal, Dijkstra) - Understanding basic data structures and their time complexities (Linked Lists, Stacks, Heaps, Trees...) - Using self-balancing trees (AVL, B-Tree...) - Understanding and applying hashing and collision resolution Master Algorithms and Data Structure Simply and Intuitively!
Deep Learning
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Author : Ian Goodfellow
language : en
Publisher: MIT Press
Release Date : 2016-11-10
Deep Learning written by Ian Goodfellow and has been published by MIT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-11-10 with Computers categories.
An introduction to a broad range of topics in deep learning, covering mathematical and conceptual background, deep learning techniques used in industry, and research perspectives. “Written by three experts in the field, Deep Learning is the only comprehensive book on the subject.” —Elon Musk, cochair of OpenAI; cofounder and CEO of Tesla and SpaceX Deep learning is a form of machine learning that enables computers to learn from experience and understand the world in terms of a hierarchy of concepts. Because the computer gathers knowledge from experience, there is no need for a human computer operator to formally specify all the knowledge that the computer needs. The hierarchy of concepts allows the computer to learn complicated concepts by building them out of simpler ones; a graph of these hierarchies would be many layers deep. This book introduces a broad range of topics in deep learning. The text offers mathematical and conceptual background, covering relevant concepts in linear algebra, probability theory and information theory, numerical computation, and machine learning. It describes deep learning techniques used by practitioners in industry, including deep feedforward networks, regularization, optimization algorithms, convolutional networks, sequence modeling, and practical methodology; and it surveys such applications as natural language processing, speech recognition, computer vision, online recommendation systems, bioinformatics, and videogames. Finally, the book offers research perspectives, covering such theoretical topics as linear factor models, autoencoders, representation learning, structured probabilistic models, Monte Carlo methods, the partition function, approximate inference, and deep generative models. Deep Learning can be used by undergraduate or graduate students planning careers in either industry or research, and by software engineers who want to begin using deep learning in their products or platforms. A website offers supplementary material for both readers and instructors.
Learning Python
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Author : Mark Lutz
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2013-06-12
Learning Python written by Mark Lutz and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-06-12 with Computers categories.
Get a comprehensive, in-depth introduction to the core Python language with this hands-on book. Based on author Mark Lutz’s popular training course, this updated fifth edition will help you quickly write efficient, high-quality code with Python. It’s an ideal way to begin, whether you’re new to programming or a professional developer versed in other languages. Complete with quizzes, exercises, and helpful illustrations, this easy-to-follow, self-paced tutorial gets you started with both Python 2.7 and 3.3— the latest releases in the 3.X and 2.X lines—plus all other releases in common use today. You’ll also learn some advanced language features that recently have become more common in Python code. Explore Python’s major built-in object types such as numbers, lists, and dictionaries Create and process objects with Python statements, and learn Python’s general syntax model Use functions to avoid code redundancy and package code for reuse Organize statements, functions, and other tools into larger components with modules Dive into classes: Python’s object-oriented programming tool for structuring code Write large programs with Python’s exception-handling model and development tools Learn advanced Python tools, including decorators, descriptors, metaclasses, and Unicode processing
The Python Bible Volume 2
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Author : Florian Dedov
language : en
Publisher:
Release Date : 2019-06-26
The Python Bible Volume 2 written by Florian Dedov and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-06-26 with categories.
Take Your Python Skills To The Next Level! Python's popularity is growing tremendously and it's becoming more and more relevant economically and technologically. It definitely makes sense to master the leading programming language for machine learning, artificial intelligence and data science. If you already know the basics and want to take your Python skills to the next level, this book is perfect for you! In this second volume of The Python Bible you will learn advanced Python programming concepts. You will learn about computer networking, database programming, multithreading and much more. Additionally, this series is highly structured, so that you can continue your journey with the next volumes into specialized fields like machine learning or finance. After Reading This Book You Will Have The Following Skills: Understanding and applying advanced programming concepts Object-oriented programming Network programming Penetration testing with Python Regular expressions Multithreading XML Processing Database Programming Logging Solid basis for advanced programming topics (Machine Learning, Data Science, Finance...) Take The Next Step to Python Mastery With The Python Bible!
Python Programming
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Author : Clive Campbell
language : en
Publisher:
Release Date : 2020-12-23
Python Programming written by Clive Campbell and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-12-23 with Computers categories.
THIS BOOK INCLUDES: Python for beginners PYTHON PROGRAMMING - The Ultimate Guide from beginners to Experts PYTHON PROGRAMMING - The Ultimate Expert Guide . You Are About to Discover The Ins And Outs Of Python Programming Language From The Basics To Its Application In Advanced Computing Concepts Like Machine Learning, Computer Science, Artificial Intelligence And More! Python is now: The preferred programming language for advanced computing concepts like data analytics, machine learning, artificial intelligence, big data, computer science and more The most taught first programming language One of the most common used programming languages in the world The programming language that has been used to write code for important processes on some of the most popular websites in the world like Facebook, Dropbox, Google Maps, YouTube, Instagram and many others Do you know why? The short answer is "because it works". And the long answer is this: "It is highly scalable, easy to use, with a rich powerful library that make it possible to use it for everything from writing simple code to advanced computing, a very active online community, a large collection of third party modules and packages as well as the fact that it also supports object oriented development!" By virtue that you are reading this, it is clear you want to start learning programming with python, from the basics all the way to the advanced computing stuff. And this 3 in 1 book is about to show you the ins and outs of python to do just that. I know you have lots of questions going through your mind... Where exactly do you start as you learn python? Why should you make python your programming language of choice whether you are a complete beginner to programming or not? How do you write your first program with python? How can you start using python for advanced computing stuff like artificial intelligence, robotics, machine learning, data analytics, big data, data science and the likes? If you have these and other related questions, this 3 in 1 book is for you so keep reading. More precisely, this 3 in 1 book will teach you: An in-depth analysis of python; what it is and how to install it on different operating systems How you stand to benefit by learning Python Why python is considered the most suitable programming language for advanced computing such as in machine learning, deep learning, artificial intelligence etc. Steps to take to write your very first program on python Step by step process to perform data analysis with python Everything you need to know about variables in python The most suitable python libraries you should use for advanced computing How to leverage the power of python to handle a variety of machine learning algorithms How you can insert comments in python to keep your code clean How to work with files on python Simple projects to get you started with python Varied data types used in python Powerful tips for successful use of python and how to handle any problems in code that may arise And MUCH MORE! Even if this is your first programming language to learn, you are in safe hands, as this book will break down the seemingly complex terms and concepts using simple, straightforward language to enable you put what you learn into action. Click Buy Now to get started!
Python Programming For Beginners
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Author : Amz Publishing
language : en
Publisher:
Release Date : 2021-07-13
Python Programming For Beginners written by Amz Publishing and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-07-13 with categories.
The history of Python kicked off when Guido van Rossum, the founder of Python, started working on it in the late 1980s. Python is the successor of the ABC programming language. The first Python version was released back in 1991 and has only grown exponentially since then. It now has a vast community that releases the latest updates regularly. Guido van Rossum is also known as the "Benevolent Dictator for Life". This title was given to him by the Python community to honor him for his long-term commitment and dedication to the project and for being the project leader for such a long period. Python is a high-level interpreted programming language that is used throughout the world for general-purpose programming. It is an open-source programming language licensed by both the Free Software Foundation (FSF) and Open-Source Initiative (OSI). Like some other programming languages, its source code is also available under the GNU General Public License (GPL). Python 2.x, being the legacy version, was used earlier across the globe. It stopped receiving newer features and security updates after Python 2.7, so people migrated to Python version 3.x. Throughout this book, we will be focusing more on the Python 3.x version, which is the latest and is currently in active development. Before we proceed further, I would like to inform you all that the purpose of writing this book is to make your understanding of Python clearer by explaining technical terms in layman's language with the help of code snippets and practical examples. I also wanted to make sure that the reader does not feel bored while reading the book, so I'll be adding some attractive code snippets that are appealing to the eyes.