The Python Bible Volume 7

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The Python Bible 7 in 1

Author : Florian Dedov
Publisher :
ISBN 13 :
Total Pages : 508 pages
Book Rating : 4.6/5 (298 download)

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Book Synopsis The Python Bible 7 in 1 by : Florian Dedov

Download or read book The Python Bible 7 in 1 written by Florian Dedov and published by . This book was released on 2020-03-23 with total page 508 pages. Available in PDF, EPUB and Kindle. Book excerpt: Become A Python Expert From Scratch! Python's popularity is growing tremendously and it's becoming more and more relevant economically and technologically. The fields of appliaction of the language range from machine learning, over computer networking to business applications. In this 7 in 1 version you get a full collection of The Python Bible series. From the first volume on, you will be lead on a structured way to the mastery of Python. Besides the basics and the intermediate concepts, you will also learn how to apply it in areas like machine learning, financial analysis and neural networks. At the end you will additionally be introduced to one of the most interesting fields of computer science, which is computer vision After reading this collection, you will not only understand the programming language but you will also be able to work on projects in the stated fields. You will become a true Python expert! What You Will Learn: Beginner Level: - Basics of Programming with Python- Automation of Simple Processes- Programming of Modular Python Applications- Easy Transition to Other Languages (Java, C++ etc.) Intermediate Level: - Object-Oriented Programming- Network Programming- Penetration Testing with Python- Regular Expressions- Multithreading- XML Processing- Database Programming- Logging Data Science: - Analyzing and Processing Big Data- Statistical Calculations with Python- Visualization of Data- Working with NumPy, Matplotlib and Pandas Machine Learning: - Predicting Data with Machine Learning- Building Neural Networks with Tensorflow- Recognizing Handwritten Digits with Neural Networks- Applying Linear Models like Regression- K-Nearest-Neighbors Classification- K-Means Clustering- Support Vector Machines Finance: - Financial Analysis with Python- Analyzing and Graphing Stock Data- Plotting Trendlines- Predicting Share Prices with Machine Learning Neural Networks: - Generating Poetic d104s with Neural Networks- Predicting Sequential Data (Stocks, Weather etc.)- Processing Audio and Video Data- Recognizing Objects Like Horses, Cars and Trucks on Images- Understanding Recurrent Neural Networks- Understanding Convolutional Neural Networks Computer Vision: - Making unreadable texts readable again with thresholding- Extracting essential information out of images and videos- Edge detection- Template matching and feature matching- Movement detection in videos- Professional object recognition with OpenCV Start Your Journey And Become A Python Expert With The Python Bible!

The Python Bible Volume 1

Author : Florian Dedov
Publisher :
ISBN 13 : 9781076241825
Total Pages : 64 pages
Book Rating : 4.2/5 (418 download)

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Book Synopsis The Python Bible Volume 1 by : Florian Dedov

Download or read book The Python Bible Volume 1 written by Florian Dedov and published by . This book was released on 2019-06-26 with total page 64 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

The Python Bible Volume 4

Author : Florian Dedov
Publisher :
ISBN 13 : 9781086956764
Total Pages : 66 pages
Book Rating : 4.9/5 (567 download)

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Book Synopsis The Python Bible Volume 4 by : Florian Dedov

Download or read book The Python Bible Volume 4 written by Florian Dedov and published by . This book was released on 2019-08-02 with total page 66 pages. Available in PDF, EPUB and Kindle. Book excerpt: MACHINE LEARNING WITH PYTHON!Machine Learning is probably the most important and fastest-growing industry in today's world. It's a much hyped term and nowadays it can be found almost everywhere. In robots, video games, the stock market, home appliances or even in cars. And it's constantly growing. The development of artificial intelligences can't be stopped and it bears almost unlimited potential (for both - good and evil). The people who don't educate themselves on this matter will be overrun by the development instead of benefiting from it.Python is definitely the language that dominates the AI market. Of course, artificial intelligences are developed in all sorts of languages but Python has become the lingua franca of machine learning in the past few years. Therefore, if you want to be part of this future, you will need to be fluent in Python and get a good understanding of machine learning.In this volume of The Python Bible series, we will dig deep into the machine learning realm and the Python language. We will train and apply complex machine learning models and at the end you will be able to develop and optimize your own AI suited for your specific tasks.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!After reading this book and applying what you've been taught, you will be able to build your own powerful machine learning models. You will be able to predict future data by using Python and machine learning algorithms. In a nutshell: You will have an amazing basis for your future programming and machine learning career.You'll have the following skills: - Deep Understanding of Machine Learning- Applying Linear Regression to Basic Problems- Building Models For Classification of Complex Data- Using Support Vector Machines For Powerful Tasks- Applying Unsupervised Learning Models- Clustering Chaotic Data- Understanding Neural Networks- Building Models That Recognize Handwritten Digits- Building Your Own Customized Neural Network- Optimizing Machine Learning ModelsAlso, 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

Python

Author : Maurice J. Thompson
Publisher : Independently Published
ISBN 13 : 9781980953906
Total Pages : 375 pages
Book Rating : 4.9/5 (539 download)

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Book Synopsis Python by : Maurice J. Thompson

Download or read book Python written by Maurice J. Thompson and published by Independently Published. This book was released on 2018-04-28 with total page 375 pages. Available in PDF, EPUB and Kindle. Book excerpt: This Box Set Includes 3 Books: Python Programming For Beginners - Learn The Basics Of Python In 7 Days! Python Programming For Intermediates - Learn The Basics Of Python In 7 Days! Python Programming For Advanced - Learn The Basics Of Python In 7 Days! Python Programming For Beginners - Learn The Basics Of Python In 7 Days! Here's what you'll learn from this book:✓Introduction ✓Understanding Python: A Detailed Background ✓How Python Works ✓Python Glossary ✓How to Download and Install Python ✓Python Programming 101: Interacting With Python in Different Ways ✓How to Write Your First Python Program ✓Variables, Strings, Lists, Tuples, Dictionaries ✓About User-Defined Functions ✓How to Write User-Defined Functions in Python ✓About Coding Style ✓Practice Projects: The Python Projects for Your Practice Python Programming For Intermediates - Learn The Basics Of Python In 7 Days! Here's what you'll learn from this book:✓ Shallow copy and deep copy ✓ Objects and classes in Python-including python inheritance, multiple inheritances, and so on ✓ Recursion in Python ✓ Debugging and testing ✓ Fibonacci sequence (definition) and Memoization in Python in Python ✓ Arguments in Python ✓ Namespaces in Python and Python Modules ✓ Simple Python projects for Intermediates Python Programming For Advanced - Learn The Basics Of Python In 7 Days! Here's what you'll learn from this book:✓File management✓Python Iterator✓Python Generator✓Regular Expressions ✓Python Closure✓Python Property✓Python Assert, and✓Simple recap projects Start Coding Now!

The Python Bible Volume 7

Author : Florian Dedov
Publisher :
ISBN 13 :
Total Pages : 68 pages
Book Rating : 4.6/5 (295 download)

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Book Synopsis The Python Bible Volume 7 by : Florian Dedov

Download or read book The Python Bible Volume 7 written by Florian Dedov and published by . This book was released on 2020-03-22 with total page 68 pages. Available in PDF, EPUB and Kindle. Book excerpt: Impressive Computer Vision with Python! The Computer Vision field is one of the most interesting and exciting subjects of computer science. This field focuses on how computers perceive and process image and video data. The technologies of this field are essential for our future. With computer vision we are able to make unreadable texts readable. We are also able to recognize faces and other objects in real time. We can apply filters, transformations and lots of effects. If you want to be a part of this movement instead of being overrun by it, you should learn these skills as fast as possible! In this seventh volume of The Python Bible, we will build on the skills and knowledge of the previous volumes. You will receive a well-written and detailed book that will help you to become a computer vision expert in Python. You will learn to do many impressive things like making poorly lit texts readable, movement detection in videos and professional object recognition. In this book you will learn step-by-step, how to realize these projects. After Reading This Book You Will Have The Following Skills: - Understanding computer vision and visual computing- Understanding color schemes (RGB, BGR, HSV)- Making unreadable texts readable again with thresholding- Extracting essential information out of images and videos- Edge detection- Template matching and feature matching- Movement detection in videos- Professional object recognition with OpenCV Master Computer Vision with Python and OpenCV!

The Python Bible Volume 5

Author : Florian Dedov
Publisher :
ISBN 13 : 9781686407376
Total Pages : 56 pages
Book Rating : 4.4/5 (73 download)

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Book Synopsis The Python Bible Volume 5 by : Florian Dedov

Download or read book The Python Bible Volume 5 written by Florian Dedov and published by . This book was released on 2019-08-14 with total page 56 pages. Available in PDF, EPUB and Kindle. Book excerpt: ANALYZE YOUR INVESTMENTS WITH PYTHON!Who wants to build long-term wealth needs to invest his capital. But nowadays investing isn't done in the same way as it was a couple of decades ago. Nowadays everything works with computers, algorithms, data science and machine learning. We already know that Python is the lingua franca of these fields. The people who don't educate themselves on this matter will be overrun by the development instead of benefiting from it.In the last volumes we learned a lot about data science and machine learning but we didn't apply these to anything from the real world except for some public datasets for demonstration. This book will focus on applying data science and machine learning onto financial data. We are going to load stock data, visualize it, analyze it and also predict share prices.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!After reading this book you will be able to apply the advanced Python knowledge and the machine learning expertise that you've already got to the finance industry. Take time while reading this book and code along. You will learn much more that way. In a nutshell: You will have an amazing basis for your future programming and machine learning career.You'll have the following skills: - Deep Understanding of Machine Learning- Financial Analysis With Python- Analyzing Stock Prices- Visualizing Financial Data and Correlations- Calculating And Plotting Regression Lines - Predicting Share Prices With Machine LearningAlso, 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

The Spirit of Python

Author : Jentezen Franklin
Publisher : Charisma Media
ISBN 13 : 1621362205
Total Pages : 255 pages
Book Rating : 4.6/5 (213 download)

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Book Synopsis The Spirit of Python by : Jentezen Franklin

Download or read book The Spirit of Python written by Jentezen Franklin and published by Charisma Media. This book was released on 2013 with total page 255 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Python 2.1 Bible

Author : Dave Brueck
Publisher : Wiley
ISBN 13 : 9780764548079
Total Pages : 0 pages
Book Rating : 4.5/5 (48 download)

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Book Synopsis Python 2.1 Bible by : Dave Brueck

Download or read book Python 2.1 Bible written by Dave Brueck and published by Wiley. This book was released on 2001-06-29 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Python 2.1 Bible provides the only complete Python language reference on the market and includes all the information and software that developers need to use Python as a rapid application development tool. The Python 2.1 Bible fills a critical void in the Python reference market. Although it includes a complete Python language reference section, it is still geared towards those of you who already have some programming experience. This book explains each piece of technology in depth and shows through clear examples why each feature is useful. This is the manual you've been waiting for -- the one that covers all major Python components without glossing over how the various pieces fit together.

Deep Learning

Author : Ian Goodfellow
Publisher : MIT Press
ISBN 13 : 0262337371
Total Pages : 801 pages
Book Rating : 4.2/5 (623 download)

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Book Synopsis Deep Learning by : Ian Goodfellow

Download or read book Deep Learning written by Ian Goodfellow and published by MIT Press. This book was released on 2016-11-10 with total page 801 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

The Bible of Algorithms and Data Structures

Author : Florian Dedov
Publisher :
ISBN 13 :
Total Pages : 138 pages
Book Rating : 4.6/5 (78 download)

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Book Synopsis The Bible of Algorithms and Data Structures by : Florian Dedov

Download or read book The Bible of Algorithms and Data Structures written by Florian Dedov and published by . This book was released on 2020-08-22 with total page 138 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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!

R for Data Science

Author : Hadley Wickham
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1491910364
Total Pages : 521 pages
Book Rating : 4.4/5 (919 download)

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Book Synopsis R for Data Science by : Hadley Wickham

Download or read book R for Data Science written by Hadley Wickham and published by "O'Reilly Media, Inc.". This book was released on 2016-12-12 with total page 521 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learn how to use R to turn raw data into insight, knowledge, and understanding. This book introduces you to R, RStudio, and the tidyverse, a collection of R packages designed to work together to make data science fast, fluent, and fun. Suitable for readers with no previous programming experience, R for Data Science is designed to get you doing data science as quickly as possible. Authors Hadley Wickham and Garrett Grolemund guide you through the steps of importing, wrangling, exploring, and modeling your data and communicating the results. You'll get a complete, big-picture understanding of the data science cycle, along with basic tools you need to manage the details. Each section of the book is paired with exercises to help you practice what you've learned along the way. You'll learn how to: Wrangle—transform your datasets into a form convenient for analysis Program—learn powerful R tools for solving data problems with greater clarity and ease Explore—examine your data, generate hypotheses, and quickly test them Model—provide a low-dimensional summary that captures true "signals" in your dataset Communicate—learn R Markdown for integrating prose, code, and results

A Primer on Scientific Programming with Python

Author : Hans Petter Langtangen
Publisher : Springer
ISBN 13 : 3662498871
Total Pages : 942 pages
Book Rating : 4.6/5 (624 download)

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Book Synopsis A Primer on Scientific Programming with Python by : Hans Petter Langtangen

Download or read book A Primer on Scientific Programming with Python written by Hans Petter Langtangen and published by Springer. This book was released on 2016-07-28 with total page 942 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book serves as a first introduction to computer programming of scientific applications, using the high-level Python language. The exposition is example and problem-oriented, where the applications are taken from mathematics, numerical calculus, statistics, physics, biology and finance. The book teaches "Matlab-style" and procedural programming as well as object-oriented programming. High school mathematics is a required background and it is advantageous to study classical and numerical one-variable calculus in parallel with reading this book. Besides learning how to program computers, the reader will also learn how to solve mathematical problems, arising in various branches of science and engineering, with the aid of numerical methods and programming. By blending programming, mathematics and scientific applications, the book lays a solid foundation for practicing computational science. From the reviews: Langtangen ... does an excellent job of introducing programming as a set of skills in problem solving. He guides the reader into thinking properly about producing program logic and data structures for modeling real-world problems using objects and functions and embracing the object-oriented paradigm. ... Summing Up: Highly recommended. F. H. Wild III, Choice, Vol. 47 (8), April 2010 Those of us who have learned scientific programming in Python ‘on the streets’ could be a little jealous of students who have the opportunity to take a course out of Langtangen’s Primer.” John D. Cook, The Mathematical Association of America, September 2011 This book goes through Python in particular, and programming in general, via tasks that scientists will likely perform. It contains valuable information for students new to scientific computing and would be the perfect bridge between an introduction to programming and an advanced course on numerical methods or computational science. Alex Small, IEEE, CiSE Vol. 14 (2), March /April 2012 “This fourth edition is a wonderful, inclusive textbook that covers pretty much everything one needs to know to go from zero to fairly sophisticated scientific programming in Python...” Joan Horvath, Computing Reviews, March 2015

Deep Learning with Python

Author : Francois Chollet
Publisher : Simon and Schuster
ISBN 13 : 1638352046
Total Pages : 597 pages
Book Rating : 4.6/5 (383 download)

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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

Python All-in-One For Dummies

Author : John C. Shovic
Publisher : John Wiley & Sons
ISBN 13 : 1119557593
Total Pages : 704 pages
Book Rating : 4.1/5 (195 download)

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Book Synopsis Python All-in-One For Dummies by : John C. Shovic

Download or read book Python All-in-One For Dummies written by John C. Shovic and published by John Wiley & Sons. This book was released on 2019-05-07 with total page 704 pages. Available in PDF, EPUB and Kindle. Book excerpt: Your one-stop resource on all things Python Thanks to its flexibility, Python has grown to become one of the most popular programming languages in the world. Developers use Python in app development, web development, data science, machine learning, and even in coding education classes. There's almost no type of project that Python can't make better. From creating apps to building complex websites to sorting big data, Python provides a way to get the work done. Python All-in-One For Dummies offers a starting point for those new to coding by explaining the basics of Python and demonstrating how it’s used in a variety of applications. Covers the basics of the language Explains its syntax through application in high-profile industries Shows how Python can be applied to projects in enterprise Delves into major undertakings including artificial intelligence, physical computing, machine learning, robotics and data analysis This book is perfect for anyone new to coding as well as experienced coders interested in adding Python to their toolbox.

The Book of R

Author : Tilman M. Davies
Publisher : No Starch Press
ISBN 13 : 1593276516
Total Pages : 833 pages
Book Rating : 4.5/5 (932 download)

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Book Synopsis The Book of R by : Tilman M. Davies

Download or read book The Book of R written by Tilman M. Davies and published by No Starch Press. This book was released on 2016-07-16 with total page 833 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Book of R is a comprehensive, beginner-friendly guide to R, the world’s most popular programming language for statistical analysis. Even if you have no programming experience and little more than a grounding in the basics of mathematics, you’ll find everything you need to begin using R effectively for statistical analysis. You’ll start with the basics, like how to handle data and write simple programs, before moving on to more advanced topics, like producing statistical summaries of your data and performing statistical tests and modeling. You’ll even learn how to create impressive data visualizations with R’s basic graphics tools and contributed packages, like ggplot2 and ggvis, as well as interactive 3D visualizations using the rgl package. Dozens of hands-on exercises (with downloadable solutions) take you from theory to practice, as you learn: –The fundamentals of programming in R, including how to write data frames, create functions, and use variables, statements, and loops –Statistical concepts like exploratory data analysis, probabilities, hypothesis tests, and regression modeling, and how to execute them in R –How to access R’s thousands of functions, libraries, and data sets –How to draw valid and useful conclusions from your data –How to create publication-quality graphics of your results Combining detailed explanations with real-world examples and exercises, this book will provide you with a solid understanding of both statistics and the depth of R’s functionality. Make The Book of R your doorway into the growing world of data analysis.

The Rust Programming Language (Covers Rust 2018)

Author : Steve Klabnik
Publisher : No Starch Press
ISBN 13 : 1718500459
Total Pages : 561 pages
Book Rating : 4.7/5 (185 download)

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Book Synopsis The Rust Programming Language (Covers Rust 2018) by : Steve Klabnik

Download or read book The Rust Programming Language (Covers Rust 2018) written by Steve Klabnik and published by No Starch Press. This book was released on 2019-09-03 with total page 561 pages. Available in PDF, EPUB and Kindle. Book excerpt: The official book on the Rust programming language, written by the Rust development team at the Mozilla Foundation, fully updated for Rust 2018. The Rust Programming Language is the official book on Rust: an open source systems programming language that helps you write faster, more reliable software. Rust offers control over low-level details (such as memory usage) in combination with high-level ergonomics, eliminating the hassle traditionally associated with low-level languages. The authors of The Rust Programming Language, members of the Rust Core Team, share their knowledge and experience to show you how to take full advantage of Rust's features--from installation to creating robust and scalable programs. You'll begin with basics like creating functions, choosing data types, and binding variables and then move on to more advanced concepts, such as: Ownership and borrowing, lifetimes, and traits Using Rust's memory safety guarantees to build fast, safe programs Testing, error handling, and effective refactoring Generics, smart pointers, multithreading, trait objects, and advanced pattern matching Using Cargo, Rust's built-in package manager, to build, test, and document your code and manage dependencies How best to use Rust's advanced compiler with compiler-led programming techniques You'll find plenty of code examples throughout the book, as well as three chapters dedicated to building complete projects to test your learning: a number guessing game, a Rust implementation of a command line tool, and a multithreaded server. New to this edition: An extended section on Rust macros, an expanded chapter on modules, and appendixes on Rust development tools and editions.

Computer Programming Crash Course

Author : Julian James McKinnon
Publisher : Computer DM-Academy
ISBN 13 : 9781801875363
Total Pages : 820 pages
Book Rating : 4.8/5 (753 download)

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Book Synopsis Computer Programming Crash Course by : Julian James McKinnon

Download or read book Computer Programming Crash Course written by Julian James McKinnon and published by Computer DM-Academy. This book was released on 2021-03-02 with total page 820 pages. Available in PDF, EPUB and Kindle. Book excerpt: -- 55% OFF For Bookstores! -- Are you looking for the PERFECT introduction into the world of coding? Want to uncover the secrets of Python, SQL, C++ and so much more? Are you looking for the ultimate guide to getting started with programming? Then this bundle is for you. Written with the beginner in mind, this incredible 7-in-1 book bundle brings you everything you need to know about programming. Packed with a ton of advice and step-by-step instructions on all the most popular and useful languages, you'll explore how even a complete beginner can get started with ease! Covering data science, Arduino, and even Raspberry pi, you'll learn the fundamentals of object-oriented programming, operators, variables, loops, classes, arrays, strings and so much more! Here's just a little of what you'll discover inside: Uncovering The Secrets of C++, C#, Python, SQL and More Breaking Down The Fundamentals of Data Science Understanding The Different Classes, Operations, and Data Types Fundamental Programming Skills That YOU Need To Know Tips and Tricks For Getting The Most out of Each Language The Best Strategies For Using Arduino and Raspberry Pi Common Errors and How To Troubleshoot Them And Much More! No matter your level of programming experience, this bundle uses step-by-step instructions and easy-to-follow advice so you can get the most out of programming. Explore these amazing languages, master the fundamentals of programming, and unleash your programming potential today! Buy it now and let your customers start their journey in programming!