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Advanced Python Guide
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Book Synopsis Advanced Guide to Python 3 Programming by : John Hunt
Download or read book Advanced Guide to Python 3 Programming written by John Hunt and published by Springer Nature. This book was released on 2023-11-02 with total page 638 pages. Available in PDF, EPUB and Kindle. Book excerpt: Advanced Guide to Python 3 Programming 2nd Edition delves deeply into a host of subjects that you need to understand if you are to develop sophisticated real-world programs. Each topic is preceded by an introduction followed by more advanced topics, along with numerous examples, that take you to an advanced level. This second edition has been significantly updated with two new sections on advanced Python language concepts and data analytics and machine learning. The GUI chapters have been rewritten to use the Tkinter UI library and a chapter on performance monitoring and profiling has been added. In total there are 18 new chapters, and all remaining chapters have been updated for the latest version of Python as well as for any of the libraries they use. There are eleven sections within the book covering Python Language Concepts, Computer Graphics (including GUIs), Games, Testing, File Input and Output, Databases Access, Logging, Concurrency and Parallelism, Reactive Programming, Networking and Data Analytics. Each section is self-contained and can either be read on its own or as part of the book as a whole. It is aimed at those who have learnt the basics of the Python 3 language but wish to delve deeper into Python’s eco system of additional libraries and modules.
Download or read book Python Programming written by Ryan Turner and published by Nelly B.L. International Consulting Limited. This book was released on 2020-02-09 with total page 274 pages. Available in PDF, EPUB and Kindle. Book excerpt: If you're looking for a way to become an expert coder and impress your friends with the programs you can make from scratch, then pay attention. Here's the deal. You've decided that one of the most in-demand skills is the best place to start when making money. However, learning how to code can be a very long and arduous process. But, not learning it and hiring a programmer can be very expensive. You may want to build an app or code a website, but the costs have always been too high, making it pointless and not very cost-effective. Sound familiar? If it does, then the information inside this book is your answer. You will be given all the tips, tricks, and practice codes you need to learn Python, the solid programming language used in hundreds of industries around the world. This information allows you to become skilled much faster and perfect your coding skills in no time. Imagine cutting months off your learning curve and getting a strong base of knowledge in no time at all. Imagine getting your project done yourself for a fraction of the cost. This all is possible with the help of this three-books bundle, featuring beginner, intermediate, and expert guides! This guidebook goes more in-depth about the Python language. This is detailed, scientific information compiled together by experts in an easy-to-listen-to fashion. In this Python guide, you will discover: Book one: The benefits of Python How to get up and running with Python Full instructions of how to code How to make predictions with algorithms Real-world examples of Python The three different examples of coding Book two: The importance of machine learning The basics of working with Python How to set up your Python environment Data preprocessing with machine learning Working with linear regression in machine learning Book three: The best benefits of Python and why programmers around the world choose it How to download the Python language on your computer, regardless of the operating system you prefer How to write your first program in Python What is means to work with an object-oriented programming language How to write conditional statements, loops, functions, variables, classes, exceptions, and more If you want to learn more about how to get the best Python training, and if you are ready to write your own codes and turn your ideas into reality, then simply click the "Buy Now" button on this page to get started.
Book Synopsis Python: Advanced Guide to Artificial Intelligence by : Giuseppe Bonaccorso
Download or read book Python: Advanced Guide to Artificial Intelligence written by Giuseppe Bonaccorso and published by Packt Publishing Ltd. This book was released on 2018-12-21 with total page 748 pages. Available in PDF, EPUB and Kindle. Book excerpt: Demystify the complexity of machine learning techniques and create evolving, clever solutions to solve your problems Key FeaturesMaster supervised, unsupervised, and semi-supervised ML algorithms and their implementation Build deep learning models for object detection, image classification, similarity learning, and moreBuild, deploy, and scale end-to-end deep neural network models in a production environmentBook Description This Learning Path is your complete guide to quickly getting to grips with popular machine learning algorithms. You'll be introduced to the most widely used algorithms in supervised, unsupervised, and semi-supervised machine learning, and learn how to use them in the best possible manner. Ranging from Bayesian models to the MCMC algorithm to Hidden Markov models, this Learning Path will teach you how to extract features from your dataset and perform dimensionality reduction by making use of Python-based libraries. You'll bring the use of TensorFlow and Keras to build deep learning models, using concepts such as transfer learning, generative adversarial networks, and deep reinforcement learning. Next, you'll learn the advanced features of TensorFlow1.x, such as distributed TensorFlow with TF clusters, deploy production models with TensorFlow Serving. You'll implement different techniques related to object classification, object detection, image segmentation, and more. By the end of this Learning Path, you'll have obtained in-depth knowledge of TensorFlow, making you the go-to person for solving artificial intelligence problems This Learning Path includes content from the following Packt products: Mastering Machine Learning Algorithms by Giuseppe BonaccorsoMastering TensorFlow 1.x by Armando FandangoDeep Learning for Computer Vision by Rajalingappaa ShanmugamaniWhat you will learnExplore how an ML model can be trained, optimized, and evaluatedWork with Autoencoders and Generative Adversarial NetworksExplore the most important Reinforcement Learning techniquesBuild end-to-end deep learning (CNN, RNN, and Autoencoders) modelsWho this book is for This Learning Path is for data scientists, machine learning engineers, artificial intelligence engineers who want to delve into complex machine learning algorithms, calibrate models, and improve the predictions of the trained model. You will encounter the advanced intricacies and complex use cases of deep learning and AI. A basic knowledge of programming in Python and some understanding of machine learning concepts are required to get the best out of this Learning Path.
Book Synopsis Python Tutorial 3.11.3 by : Guido Van Rossum
Download or read book Python Tutorial 3.11.3 written by Guido Van Rossum and published by . This book was released on 2023-05-12 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis The Hitchhiker's Guide to Python by : Kenneth Reitz
Download or read book The Hitchhiker's Guide to Python written by Kenneth Reitz and published by "O'Reilly Media, Inc.". This book was released on 2016-08-30 with total page 331 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Hitchhiker's Guide to Python takes the journeyman Pythonista to true expertise. More than any other language, Python was created with the philosophy of simplicity and parsimony. Now 25 years old, Python has become the primary or secondary language (after SQL) for many business users. With popularity comes diversityâ??and possibly dilution. This guide, collaboratively written by over a hundred members of the Python community, describes best practices currently used by package and application developers. Unlike other books for this audience, The Hitchhikerâ??s Guide is light on reusable code and heavier on design philosophy, directing the reader to excellent sources that already exist.
Book Synopsis Learn Python 3 In 3 Days by : Darril Gibson
Download or read book Learn Python 3 In 3 Days written by Darril Gibson and published by Independently Published. This book was released on 2020-07-03 with total page 762 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learn Python In 3 Days: Step by Step Guide for Beginners to Advanced is the world's best-selling guide to the Python programming language.This fast-paced, Learn the fundamentals of Python and practice problems.Python is an easy to learn programming language with a wide variety of well-paying jobs in many fields, including data science, web development, and network programming. There couldn't be a better time for you to join the world of Python!Who this Book is for: People interested in programming who have no prior programming experienceNewer Python programmers who need a refresher on PythonStudents taking a Python class in school who want a supplementary learning resourceProgramming hobbyistsAnyone else who is interested in learning Pytho
Download or read book Python Programming written by Kevin Lioy and published by Independently Published. This book was released on 2019-11 with total page 272 pages. Available in PDF, EPUB and Kindle. Book excerpt: If you want to learn the most modern programming language in the world, then keep reading. Pyhton is an high-level programming language. It's a modern language, easy to learn and understand but very powerful. It's a versatile programming language that is now being used on a lot of different projects, from World-class Internet companies to small hobbyists, Python is extremely flexible and can be useful in a lot of different fields. With Python, you can develop apps, games and any kind of software. In fact, Python is one of the highest-demand skill for professional developers. Python Programming approaches this programming language in a very practical method to make sure you can learn everything you need to start working with Python as soon as possible and to handle advanced feature of this unique language. You will learn... ▸ Why Python is a great language to start programming ▸ How to set-up the environment on your computer ▸ The logic behind programming ▸ Pyhton basic keywords and how to use them ▸ How to control the flow of your software ▸ How to handle files and user input ▸ Different data types - and how to use them all ▸ How to create new functions and use pre-built ones to speed up your coding ▸ Advanced procedural programming techniques ▸ What is Dynamic Code Execution ▸ Advanced OOP functions most developers are not aware of ▸ Functional-style programming with Python ▸ How to debug, test and profile your software ▸ How to handle multiple processes ▸ The best techniques to spread the workload on different threads
Book Synopsis Advanced Python Guide by : Kriti Kumari Sinha
Download or read book Advanced Python Guide written by Kriti Kumari Sinha and published by BPB Publications. This book was released on 2024-05-18 with total page 452 pages. Available in PDF, EPUB and Kindle. Book excerpt: Unlock your coding potential with Python! KEY FEATURES ● Master Python basics to job-ready skills, all within one comprehensive guide. ● Understand emerging trends and the future of Python programming. ● Understand through interactive exercises, practical case studies, and ready-to-run code examples. DESCRIPTION This book introduces Python, a flexible programming language. Master the fundamentals, then leverage Python's capabilities to solve problems, automate tasks, and bring your ideas to life. In today's tech-driven world, Python transforms you into a creator, not just a consumer. This comprehensive guide equips you with the fundamentals of Python programming, from installing it and setting up your environment to mastering core concepts like variables, data structures, functions, and object-oriented programming (OOP). Explore Python's standard library modules for common tasks like file handling and delve into writing clean Pythonic code using advanced techniques like list comprehensions. This book also covers optional advanced topics like concurrency, networking, and data science applications. Further, you will be able to ensure code quality with testing and debugging techniques mentioned in the book, and learn the best practices for a professional setup (PEP 8). Finally, apply your Python skills by building real-world projects, and prepare for Python developer interviews with confidence. With its clear explanations, technical accuracy, and focus on best practices, this book is your one-stop shop for mastering Python and unlocking its vast potential. WHAT YOU WILL LEARN ● Master Python basics by understanding variables, data types, and operators. ● Enhance your problem-solving abilities by employing loops, conditionals, and algorithms. ● Hands-on coding experiences, constructing practical projects such as calculators and games. ● Data exploration by analyzing data sets, visualizing trends, and making informed decisions. ● Join the Python community to collaborate, share, and contribute to open-source projects. WHO THIS BOOK IS FOR This book is ideal for aspiring learners, professionals transitioning to Python, curious researchers, and students. No prior knowledge of Python is required. TABLE OF CONTENTS 1. Introduction to Python 2. Python Basics 3. Data Structures 4. Functions 5. Object-oriented Programming 6. File Handling 7. Modules and Packages 8. Python's Standard Library and Third-party Libraries 9. Pythonic Programming 10. Advanced Topics in Python 11. Testing and Debugging 12. Best Practices and Coding Standards 13. Building Real-world Applications 14. Python's Future and Trends 15. Hands-on Python Programming 16. Python Interview Preparation: Beginners 17. Python Interview Preparation for Experienced Developers
Book Synopsis Advanced Python Programming by : Dr. Gabriele Lanaro
Download or read book Advanced Python Programming written by Dr. Gabriele Lanaro and published by Packt Publishing Ltd. This book was released on 2019-02-28 with total page 652 pages. Available in PDF, EPUB and Kindle. Book excerpt: Create distributed applications with clever design patterns to solve complex problems Key FeaturesSet up and run distributed algorithms on a cluster using Dask and PySparkMaster skills to accurately implement concurrency in your codeGain practical experience of Python design patterns with real-world examplesBook Description This Learning Path shows you how to leverage the power of both native and third-party Python libraries for building robust and responsive applications. You will learn about profilers and reactive programming, concurrency and parallelism, as well as tools for making your apps quick and efficient. You will discover how to write code for parallel architectures using TensorFlow and Theano, and use a cluster of computers for large-scale computations using technologies such as Dask and PySpark. With the knowledge of how Python design patterns work, you will be able to clone objects, secure interfaces, dynamically choose algorithms, and accomplish much more in high performance computing. By the end of this Learning Path, you will have the skills and confidence to build engaging models that quickly offer efficient solutions to your problems. This Learning Path includes content from the following Packt products: Python High Performance - Second Edition by Gabriele LanaroMastering Concurrency in Python by Quan NguyenMastering Python Design Patterns by Sakis KasampalisWhat you will learnUse NumPy and pandas to import and manipulate datasetsAchieve native performance with Cython and NumbaWrite asynchronous code using asyncio and RxPyDesign highly scalable programs with application scaffoldingExplore abstract methods to maintain data consistencyClone objects using the prototype patternUse the adapter pattern to make incompatible interfaces compatibleEmploy the strategy pattern to dynamically choose an algorithmWho this book is for This Learning Path is specially designed for Python developers who want to build high-performance applications and learn about single core and multi-core programming, distributed concurrency, and Python design patterns. Some experience with Python programming language will help you get the most out of this Learning Path.
Book Synopsis Advanced Python Programming by : Quan Nguyen
Download or read book Advanced Python Programming written by Quan Nguyen and published by Packt Publishing Ltd. This book was released on 2022-03-25 with total page 606 pages. Available in PDF, EPUB and Kindle. Book excerpt: Write fast, robust, and highly reusable applications using Python's internal optimization, state-of-the-art performance-benchmarking tools, and cutting-edge libraries Key FeaturesBenchmark, profile, and accelerate Python programs using optimization toolsScale applications to multiple processors with concurrent programmingMake applications robust and reusable using effective design patternsBook Description Python's powerful capabilities for implementing robust and efficient programs make it one of the most sought-after programming languages. In this book, you'll explore the tools that allow you to improve performance and take your Python programs to the next level. This book starts by examining the built-in as well as external libraries that streamline tasks in the development cycle, such as benchmarking, profiling, and optimizing. You'll then get to grips with using specialized tools such as dedicated libraries and compilers to increase your performance at number-crunching tasks, including training machine learning models. The book covers concurrency, a major solution to making programs more efficient and scalable, and various concurrent programming techniques such as multithreading, multiprocessing, and asynchronous programming. You'll also understand the common problems that cause undesirable behavior in concurrent programs. Finally, you'll work with a wide range of design patterns, including creational, structural, and behavioral patterns that enable you to tackle complex design and architecture challenges, making your programs more robust and maintainable. By the end of the book, you'll be exposed to a wide range of advanced functionalities in Python and be equipped with the practical knowledge needed to apply them to your use cases. What you will learnWrite efficient numerical code with NumPy, pandas, and XarrayUse Cython and Numba to achieve native performanceFind bottlenecks in your Python code using profilersOptimize your machine learning models with JAXImplement multithreaded, multiprocessing, and asynchronous programsSolve common problems in concurrent programming, such as deadlocksTackle architecture challenges with design patternsWho this book is for This book is for intermediate to experienced Python programmers who are looking to scale up their applications in a systematic and robust manner. Programmers from a range of backgrounds will find this book useful, including software engineers, scientific programmers, and software architects.
Book Synopsis PYTHON ADVANCED GUIDE by : Alec Dennis
Download or read book PYTHON ADVANCED GUIDE written by Alec Dennis and published by . This book was released on 2021-12-05 with total page 42 pages. Available in PDF, EPUB and Kindle. Book excerpt: Continue reading if you want to learn the world's most current programming language. Python is a programming language with a high degree of abstraction. It is a contemporary language that is simple to learn and comprehend while being very powerful. Python is a powerful programming language that is now being used on a wide range of projects, from world-class Internet companies to small hobbyists. It is incredibly adaptable and may be used in a variety of disciplines. Python allows you to create applications, games, and software of any kind. Python is, in fact, one of the most in-demand skills among professional developers. Python Advanced Guide handles this programming language in a highly practical manner to ensure that you can learn all you need to know to begin working with Python as soon as possible and to handle the advanced features of this unique language. You will discover... Advanced procedural programming techniques What is Dynamic Code Execution Advanced OOP Functions most developers are unaware of Functional-style programming with Python How to debug, test, and profile your software How to handle multiple processes The best techniques for distributing the workload across multiple threads Do you want to learn more? Select the BUY NOW button at the top of the page.
Book Synopsis Advanced Python Programming by : Richard Ozer
Download or read book Advanced Python Programming written by Richard Ozer and published by Createspace Independent Publishing Platform. This book was released on 2017-11-08 with total page 112 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learn The Advanced Concepts of Python Programming Today! Python is on the rise in the world of coding and many popular technological devices from the Raspberry Pi to the Linux operating system use Python as a crux for not just education, but implementation. Python can help you code your own software, develop your own games and even format your own home surveillance system! It is, hands down, one of the most useful coding languages around, and the way it is formatted cuts out a great deal of the fluff that other coding languages have a tendency to be bogged down with. Whether your interest in Python is educational, career-based, or born out of a simple curiosity, it is a programming language you should know, be fluent in, and put on your resume. This world is quickly evolving into a technology-based society, and knowing a coding language as prominent as Python will not only ensure you a job in the future, but it will provide you with a thick foundation to then build your coding language on, should that be something you are chasing. However, no matter the purpose you have chosen for learning this language, there is no beginner's book that breaks down the language into its original components and strings them together cohesively better than this one. If you are looking for a book that is easy to understand and still provides the easy to digest guidance you want, then look no further than here!
Download or read book CPython Internals written by Anthony Shaw and published by . This book was released on 2021-05-05 with total page 396 pages. Available in PDF, EPUB and Kindle. Book excerpt: Get your guided tour through the Python 3.9 interpreter: Unlock the inner workings of the Python language, compile the Python interpreter from source code, and participate in the development of CPython. Are there certain parts of Python that just seem like magic? This book explains the concepts, ideas, and technicalities of the Python interpreter in an approachable and hands-on fashion. Once you see how Python works at the interpreter level, you can optimize your applications and fully leverage the power of Python. By the End of the Book You'll Be Able To: Read and navigate the CPython 3.9 interpreter source code. You'll deeply comprehend and appreciate the inner workings of concepts like lists, dictionaries, and generators. Make changes to the Python syntax and compile your own version of CPython, from scratch. You'll customize the Python core data types with new functionality and run CPython's automated test suite. Master Python's memory management capabilities and scale your Python code with parallelism and concurrency. Debug C and Python code like a true professional. Profile and benchmark the performance of your Python code and the runtime. Participate in the development of CPython and know how to contribute to future versions of the Python interpreter and standard library. How great would it feel to give back to the community as a "Python Core Developer?" With this book you'll cover the critical concepts behind the internals of CPython and how they work with visual explanations as you go along. Each page in the book has been carefully laid out with beautiful typography, syntax highlighting for code examples. What Python Developers Say About The Book: "It's the book that I wish existed years ago when I started my Python journey. [...] After reading this book your skills will grow and you will be able solve even more complex problems that can improve our world." - Carol Willing, CPython Core Developer & Member of the CPython Steering Council "CPython Internals is a great (and unique) resource for anybody looking to take their knowledge of Python to a deeper level." - Dan Bader, Author of Python Tricks "There are a ton of books on Python which teach the language, but I haven't really come across anything that would go about explaining the internals to those curious minded." - Milan Patel, Vice President at (a major investment bank)
Book Synopsis Learning Robotics Using Python by : Lentin Joseph
Download or read book Learning Robotics Using Python written by Lentin Joseph and published by Packt Publishing Ltd. This book was released on 2015-05-27 with total page 330 pages. Available in PDF, EPUB and Kindle. Book excerpt: If you are an engineer, a researcher, or a hobbyist, and you are interested in robotics and want to build your own robot, this book is for you. Readers are assumed to be new to robotics but should have experience with Python.
Download or read book Powerful Python written by Aaron Maxwell and published by . This book was released on 2017-05-07 with total page 220 pages. Available in PDF, EPUB and Kindle. Book excerpt: There are many books for those new to Python, new to programming, or both. Powerful Python is different. Written for experienced developers like you, its carefully crafted chapters teach intermediate and advanced strategies, patterns, and tools for modern Python. Focused on Python 3, with full support for 2.7. DRM-free digital upgrade: powerfulpython.com/book-upgrade "Feels like Neo learning Jiu jitsu in the Matrix." - John Beauford (@johnbeauford) "I just wanted to let you know what an excellent book this is... I keep going back to your book to learn Python." - Fahad Qazi, London, UK "Thanks. Keep up the good work. Your chapter on decorators is the best I have seen on that topic." - Leon Tietz, Minnesota, USA "Powerful Python is already helping me get huge optimization gains." - Timothy Dobbins (@TmthyDobbins) "What have I found good and valuable about the book so far? Everything honestly. The clear explanations, solid code examples have really helped me advance as a Python coder... Thank you! It has really helped me grasp some advanced concepts that I felt were beyond my abilities." - Nick S., Colorado, USA For data scientists, back-end engineers, web developers, sysadmins, devops, QA testers and more. What's included: An unrelenting selective spotlight on what's most valuable and impactful to working, full-time, professional Python developers Well-researched, detailed, realistic code on almost every page, powerfully illustrating key points. Very little "toy code" How to use decorators to add rich features to functions and classes; untangle distinct, frustratingly intertwined concerns in your code; and build powerful, extensible software frameworks How to use Python in ways that incentivize other developers to use and re-use your code, again and again... amplifying the impact of the code you write, and boosting your reputation among your peers Powerfully and easily weave iterators and generators throughout your applications, making them massively scalable, highly performant, and far more readable and maintainable How to fully leverage Python's exception and error model... giving you a detailed understanding even experienced Pythonistas often lack, and putting some of the most powerfully Pythonic exception-handling patterns in your toolbox How "magic methods" imbue natural, readable, expressive syntax into your classes and objects... and how to "break the rules" to craft stunningly intuitive, compellingly reusable library interfaces Valuable and powerful design patterns, and how Python's special language features give you uniquely powerful implementations not possible in other languages Deep and detailed instruction on how to write practical, realistic unit tests... using test-driven development to easily get into a state of flow... where you find yourself implementing feature after feature, keeping your focus with ease for long periods of time How to rapidly set up effective logging for scripts, sprawling Python applications, and everything in between An enthusiastic and unapologetic focus on Python 3, and what makes it great... with full explanation and support for getting the same results with Python 2.7 More at PowerfulPython.com.
Book Synopsis The Hacker's Guide to Python by : Julien Danjou
Download or read book The Hacker's Guide to Python written by Julien Danjou and published by Julien Danjou. This book was released on 2016-05-04 with total page 290 pages. Available in PDF, EPUB and Kindle. Book excerpt: Python is a wonderful programming language that is being used more and more in many different industries. It is fast, flexible, and it comes with batteries included. Most of the books you read about Python will teach you the language basics – but once you've learnt them, you’re on your own in designing your application and discovering best practice. In this book, we'll see how you can leverage Python to efficiently tackle your problems and build great Python applications.
Book Synopsis A Beginners Guide to Python 3 Programming by : John Hunt
Download or read book A Beginners Guide to Python 3 Programming written by John Hunt and published by Springer. This book was released on 2019-08-08 with total page 441 pages. Available in PDF, EPUB and Kindle. Book excerpt: This textbook on Python 3 explains concepts such as variables and what they represent, how data is held in memory, how a for loop works and what a string is. It also introduces key concepts such as functions, modules and packages as well as object orientation and functional programming. Each section is prefaced with an introductory chapter, before continuing with how these ideas work in Python. Topics such as generators and coroutines are often misunderstood and these are explained in detail, whilst topics such as Referential Transparency, multiple inheritance and exception handling are presented using examples. A Beginners Guide to Python 3 Programming provides all you need to know about Python, with numerous examples provided throughout including several larger worked case studies illustrating the ideas presented in the previous chapters.
