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  • 1
    Online Resource
    Online Resource
    [Place of publication not identified] : Manning Publications
    Language: English
    Pages: 1 online resource (1 video file (6 hr., 32 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.13/3
    Keywords: Python (Computer program language) ; Computer programming ; Python (Langage de programmation) ; Programmation (Informatique) ; computer programming ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet
    Abstract: Six Small Algorithm Projects with Python: Video Walkthrough Algorithms are the foundations of computer science. In this series of liveProjects, you'll watch as an expert uses specific algorithms to solve important programming problems. Six Small Algorithm Projects with Python is one of the most popular series on Manning's liveProject platform. Working though the series by hand takes weeks, but now there's a simpler way. In this series of videos, experienced data science lecturer Charles Rice guides you through the entire series, bringing you all the lessons in a fraction of the time. As you watch, you'll learn how to use recursion to draw complex shapes, search linked data structures, and layout and draw trees. You'll learn how to use network algorithms to find shortest paths and assign employees to jobs. As you master the projects in this series, you'll gain an understanding of a variety of algorithmic topics, data structures, and general programming techniques. Rod Stephens, series author Rod Stephens started out as a mathematician but discovered the fun of algorithms and has been programming ever since. Rod was a Microsoft Visual Basic Most Valuable Professional (MVP) for 15 years, has spoken to user groups and conferences, and has taught introductory programming courses. He has written more than 35 books including Essential Algorithms: A Practical Approach to Computer Algorithms Using Python and C# and Beginning Software Engineering, both of which include material related to this series of liveProjects. Charles Rice, video presenter Charles Rice is a Senior Data Science Instructor with the Flatiron School. He has worked in data science education for nearly a decade, teaching machine learning and statistical analysis to hundreds of students in the United States and abroad. In industry, he has worked as a Research Engineer for BlockScience, a blockchain R&D consultancy, and consults on data science and engineering for several FinTech organizations. He is a CompTIA Subject Matter Expert for the forthcoming DataX certification exam. Before getting into code and machine learning, he worked as a journalist and corporate communications professional.
    Note: "Video walkthrough.". - Online resource; title from title details screen (O'Reilly, viewed Decenber 19, 2023)
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  • 2
    Online Resource
    Online Resource
    [Place of publication not identified] : Manning Publications
    Language: English
    Pages: 1 online resource (1 video file (8 hr., 53 min.)) , sound, color.
    Edition: Video edition.
    DDC: 005.13/3
    Keywords: Python (Computer program language) ; Computer programming ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Master Python techniques and libraries to reduce run times, efficiently handle huge datasets, and optimize execution for complex machine learning applications. Fast Python is a toolbox of techniques for high performance Python including: Writing efficient pure-Python code Optimizing the NumPy and pandas libraries Rewriting critical code in Cython Designing persistent data structures Tailoring code for different architectures Implementing Python GPU computing Fast Python is your guide to optimizing every part of your Python-based data analysis process, from the pure Python code you write to managing the resources of modern hardware and GPUs. You'll learn to rewrite inefficient data structures, improve underperforming code with multithreading, and simplify your datasets without sacrificing accuracy. Written for experienced practitioners, this book dives right into practical solutions for improving computation and storage efficiency. You'll experiment with fun and interesting examples such as rewriting games in Cython and implementing a MapReduce framework from scratch. Finally, you'll go deep into Python GPU computing and learn how modern hardware has rehabilitated some former antipatterns and made counterintuitive ideas the most efficient way of working. About the Technology Face it. Slow code will kill a big data project. Fast pure-Python code, optimized libraries, and fully utilized multiprocessor hardware are the price of entry for machine learning and large-scale data analysis. What you need are reliable solutions that respond faster to computing requirements while using less resources, and saving money. About the Book Fast Python is a toolbox of techniques for speeding up Python, with an emphasis on big data applications. Following the clear examples and precisely articulated details, you'll learn how to use common libraries like NumPy and pandas in more performant ways and transform data for efficient storage and I/O. More importantly, Fast Python takes a holistic approach to performance, so you'll see how to optimize the whole system, from code to architecture_._ What's Inside Rewriting critical code in Cython Designing persistent data structures Tailoring code for different architectures Implementing Python GPU computing About the Reader For intermediate Python programmers familiar with the basics of concurrency. About the Author Tiago Antao is one of the co-authors of Biopython, a major bioinformatics package written in Python. Quotes A great resource for learning how to create performant Python code. - Or Golan, Qedma Quantum Computing If you think Python is too slow, this book is for you! Parallelization. Vectorization. Using Cython and Numba to compile to C. Putting code onto a GPU to massively parallelize it. Buy a copy for every data scientist in your org. - James Liu, Mediaocean The time you invest reading this book will be repaid multifold in your project's design and the performance you'll gain. - Ruud Gijsen, Simbeyond.
    Note: Online resource; title from title details screen (O'Reilly, viewed November 15, 2023)
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  • 3
    Online Resource
    Online Resource
    [Place of publication not identified] : Manning Publications
    Language: English
    Pages: 1 online resource (1 video file (18 hr., 9 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.13/3
    Keywords: Python (Computer program language) Study guides ; Computer programming Study guides ; Computer programming ; Python (Computer program language) ; Instructional films ; Internet videos ; Nonfiction films ; Study guides ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: This is the course for people who want to get started programming with Python, and are interested in entering the fields of coding or data science. But it is comprehensive enough for more experienced Python coders who want to brush up on their skills or fill in missing gaps. With over 18 hours of HD video tutorials, this course is designed to fully immerse you in the Python language as you start from the basics of programming and go through to advanced Python concepts. We'll also cover web scraping, PyMongo, WebPy development, Django web framework, GUI programming, data visualization, machine learning, and much more. Get hands-on practice building these ten coding projects: Simple calculator RPG battle script Web scraper PyMongo database Webpy web app Django website PyQt calculator GUI PyQt web browser Data visualization with matplotlib and Pandas Speech recognition & AI.
    Note: Online resource; title from title details screen (O'Reilly, viewed June 26, 2023)
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  • 4
    Online Resource
    Online Resource
    [Place of publication not identified] : Manning Publications
    Language: English
    Pages: 1 online resource (1 video file (17 hr., 37 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.13/3
    Keywords: Python (Computer program language) Study guides ; Computer programming Study guides ; Computer programming ; Python (Computer program language) ; Instructional films ; Internet videos ; Nonfiction films ; Study guides ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Python is the #1 programming language for beginners due to its simple syntax, wide range of applications, and helpful community resources. This course, intended for absolute beginners, will start you on your coding journey with Python 3, the most recent version of the language. We start by setting up a Python environment and learning programming basics, then move on to cover object-oriented programming, regular expressions, interacting with HTTP (Hypertext Transfer Protocol), networking and more. Enroll now to receive over 17 hours of HD video tutorials with English captions, and a certificate of completion! Python calculator After learning Python basics, we will code our first program, a calculator. Web scraping We will code a simple web scraper to extract data rom a web site. This will demonstrate how to use Python to interact with HTTP. Chat program We will code a chat program using another communication protocol, WebSockets, to learn the basics of networking with Python.
    Note: Online resource; title from title details screen (O'Reilly, viewed June 26, 2023)
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  • 5
    Online Resource
    Online Resource
    [Place of publication not identified] : Manning Publications
    Language: English
    Pages: 1 online resource (1 video file (17 hr., 3 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.133
    Keywords: Python (Computer program language) ; Hacking ; Computer security ; Penetration testing (Computer security) ; Computer programmers Professional ethics ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Master ethical hacking while working on practical Python coding projects. Learn Python hacking skills, ethical hacking principles, penetration testing, cybersecurity, and more with over 17 hours of video tutorials. Designed for those with intermediate- to advanced-level understanding of ethical hacking, this course is still taught in a step-by-step, beginner-friendly method. We begin with coding basic port and vulnerability scanning tools; move onto SSH, FTP, and spoofing attacks; take a look at network analysis; and finish up with coding a reverse shell, command and control center, and several website penetration testing tools. Upon completing this course, you will be prepared for a job in the cybersecurity industry. Learn all these skills while completing eight coding projects: Port and vulnerability scanner SSH brute-forcer MAC address changer ARP spoofer DNS spoofer Multi-functioning reverse shell Keylogger Command and control center.
    Note: Online resource; title from title details screen (O'Reilly, viewed May 23, 2023)
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  • 6
    Online Resource
    Online Resource
    [Place of publication not identified] : Manning Publications
    Language: English
    Pages: 1 online resource (1 video file (6 hr., 1 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.13/3
    Keywords: Python (Computer program language) ; Machine learning ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: This A to Z course introduces newcomers to the world of data science and teaches the fundamental skills for using machine learning and artificial intelligence (AI) to glean meaning and insights from data. It covers Python's data types and shows how to use the must-have Python data science libraries, including Pandas for data analysis and Matplotlib for creating visuals of the results. Once you understand how to format and clean your data and perform exploratory data analysis, we move to the machine learning side. Here, we introduce you to supervised vs unsupervised learning, as well as the core algorithms, including simple and multiple linear regression. We finish up with a deep dive into a recommender system for movies, and a chance to put together all your new skills and knowledge. Each topic is described in plain English, and the course does its best to avoid mathematical notations and jargon. Once you have access to the source code, you can experiment with it and improve upon it, learning and applying these algorithms in the real world. The data science field is lucrative and growing. This course will introduce you to all the foundational skills that a data scientist must have. If you have no background in statistics, don't let that stop you from enrolling in this course!.
    Note: Online resource; title from title details screen (O'Reilly, viewed June 13, 2023)
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  • 7
    Online Resource
    Online Resource
    [Place of publication not identified] : Manning Publications
    Language: English
    Pages: 1 online resource (1 video file (8 hr., 50 min.)) , sound, color.
    Edition: Video edition.
    DDC: 005.13/3
    Keywords: Python (Computer program language) ; Computer software Development ; Python (Langage de programmation) ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet
    Abstract: If you're new to Python, it can be tough to understand when, where, and how to use all its language features. This friendly guide shows you how the Python ecosystem fits together, and grounds you in the skills you need to continue your journey to being a software developer. Inside The Well-Grounded Python Developer you will discover: Building modules of functionality Creating a well-constructed web server application Integrating database access into your Python applications Refactor and decoupling systems to help scale them How to think about the big picture of your application The Well-Grounded Python Developer builds on Python skills you've learned in isolation and shows you how to unify them into a meaningful whole. It helps you understand the dizzying array of libraries and teaches important concepts, like modular construction, APIs, and the design of a basic web server. As you work through this practical guide, you'll discover how all the bits of Python link up as you build and modify a typical web server application--the kind of web app that's in high demand by modern businesses. About the Technology As a new programmer, you're happy just to see your code run. A professional developer, on the other hand, needs to create software that runs reliably. It must be fast, maintainable, scalable, secure, well designed and documented, easy for others to update, and quick to ship. This book teaches you the skills you need to go from Python programmer to Python developer. About the Book The Well-Grounded Python Developer shows you why Python, the world's most popular programming language, is a fantastic tool for professional development. It guides you through the most important skills, like how to name variables, functions, and classes, how to identify and write a good API, and how to use objects. You'll also learn how to deal with inevitable failures, how to make software that connects to the internet, core security practices, and many other professional-grade techniques. What's Inside Create a web application Connect to a database Design programs to handle big tasks About the Reader For experienced beginners who want to learn professional-level skills. About the Author Doug Farrell has been a professional developer since 1983, and has worked with Python for over 20 years. Quotes A fun journey, and a great resource. With this book as your guide, you'll be on the summit before you know it. - From the Foreword by Michael Kennedy, founder of Talk Python Training Well-structured with excellent code examples. I highly recommend getting this book to build your Python skills. - Stanley Anozie, Hospitality Digital An excellent tutorial in the foundations of Python development for both the novice and experienced developer. - Philip Best, Amazon This is the best Python reference I've read so far. - Julien Pohie, ThoughtWorks.
    Note: Online resource; title from title details screen (O'Reilly, viewed February 20, 2024)
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  • 8
    Online Resource
    Online Resource
    [Place of publication not identified] : Manning Publications
    Language: English
    Pages: 1 online resource (1 video file (2 hr., 29 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.13/3
    Keywords: Python (Computer program language) ; Machine learning ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: This course provides you with the essentials to understand how companies like Google and Amazon use machine learning and artificial intelligence (AI) to extract meaning and insights from enormous data sets. You'll learn how to work with machine learning algorithms and develop the highly-employable skills of a data scientist. These videos minimize jargon and mathematical notations, instead explaining the topics in plain English to make them easy to comprehend. Once you get your hands on the sample code we provide, you'll be able to play with it and build on it. The emphasis of this course is on understanding and using these algorithms in the real world, not in a theoretical or academic context. You'll walk away from each video with a fresh idea that you can put to use right away! You'll work in Python using sciket-learn (sklearn), a free machine learning library built for Python. All you need to succeed in this course is basic skills in mathematics and Python. Even if you have no prior statistical experience, you will learn to work with machine learning algorithms like a pro.
    Note: Online resource; title from title details screen (O'Reilly, viewed October 18, 2022)
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  • 9
    Online Resource
    Online Resource
    [Place of publication not identified] : Manning Publications
    Language: English
    Pages: 1 online resource (1 video file (11 hr., 5 min.)) , sound, color.
    Edition: Video edition.
    DDC: 519.55
    Keywords: Time-series analysis Data processing ; Time-series analysis Computer programs ; Python (Computer program language) ; Python (Computer program language) ; Time-series analysis ; Computer programs ; Time-series analysis ; Data processing ; Instructional films ; Internet videos ; Nonfiction films ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: In Video Editions the narrator reads the book while the content, figures, code listings, diagrams, and text appear on the screen. Like an audiobook that you can also watch as a video. Build predictive models from time-based patterns in your data. Master statistical models including new deep learning approaches for time series forecasting. In Time Series Forecasting in Python you will learn how to: Recognize a time series forecasting problem and build a performant predictive model Create univariate forecasting models that account for seasonal effects and external variables Build multivariate forecasting models to predict many time series at once Leverage large datasets by using deep learning for forecasting time series Automate the forecasting process Time Series Forecasting in Python teaches you to build powerful predictive models from time-based data. Every model you create is relevant, useful, and easy to implement with Python. You'll explore interesting real-world datasets like Google's daily stock price and economic data for the USA, quickly progressing from the basics to developing large-scale models that use deep learning tools like TensorFlow. About the Technology You can predict the future--with a little help from Python, deep learning, and time series data! Time series forecasting is a technique for modeling time-centric data to identify upcoming events. New Python libraries and powerful deep learning tools make accurate time series forecasts easier than ever before. About the Book Time Series Forecasting in Python teaches you how to get immediate, meaningful predictions from time-based data such as logs, customer analytics, and other event streams. In this accessible book, you'll learn statistical and deep learning methods for time series forecasting, fully demonstrated with annotated Python code. Develop your skills with projects like predicting the future volume of drug prescriptions, and you'll soon be ready to build your own accurate, insightful forecasts. What's Inside Create models for seasonal effects and external variables Multivariate forecasting models to predict multiple time series Deep learning for large datasets Automate the forecasting process About the Reader For data scientists familiar with Python and TensorFlow. About the Author Marco Peixeiro is a seasoned data science instructor who has worked as a data scientist for one of Canada's largest banks. Quotes The importance of time series analysis cannot be overstated. This book provides key techniques to deal with time series data in real-world applications. Indispensable. - Amaresh Rajasekharan, IBM Marco Peixeiro presents concepts clearly using interesting examples and illustrative plots. You'll be up and running quickly using the power of Python. - Ariel Andres, MD Financial Management What caught my attention were the practical examples immediately applicable to real life. He explains complex topics without the excess of mathematical formalism. - Simone Sguazza, University of Applied Sciences and Arts of Southern Switzerland. Narrated by Adam Newmark.
    Note: Reader unidentified. - Online resource; title from title details screen (O'Reilly, viewed November 28, 2022)
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  • 10
    Online Resource
    Online Resource
    [Place of publication not identified] : Manning Publications
    Language: English
    Pages: 1 online resource (1 video file (1 hr., 11 min.)) , sound, color.
    Edition: [First edition].
    DDC: 006.3/5
    Keywords: Python (Computer program language) ; Natural language processing (Computer science) ; Computer programming ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Start creating a rule-based dialog engine or state machine from scratch.
    Note: Online resource; title from title details screen (O'Reilly, viewed May 10, 2022)
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  • 11
    Online Resource
    Online Resource
    [Place of publication not identified] : Manning Publications
    Language: English
    Pages: 1 online resource (1 video file (3 hr., 50 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.13/3
    Keywords: Python (Computer program language) ; Computer programming ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: This course teaches you the Python basics--nothing more, nothing less. Taking the time to explain the basics gives you the foundation you need to start any project or learning path and career. To be clear, this course is not an all-in-one, 60-hour course with 45 projects that's going to take you 6 months to complete. I'm not saying those courses are bad; I'm taking a different approach to focus on just the basics. At the end of this course, and this is important, you will have a strong foundation in Python basics. You will be able to build on that foundation with confidence.
    Note: Online resource; title from title details screen (O'Reilly, viewed December 12, 2022)
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  • 12
    Online Resource
    Online Resource
    [Place of publication not identified] : Manning Publications
    Language: English
    Pages: 1 online resource (1 video file (2 hr., 5 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.13/3
    Keywords: Python (Computer program language) ; Machine learning
    Abstract: If you know the basics of Python and you want to know deep learning, this course is designed for you. You'll learn the theory behind this branch of artificial intelligence and machine learning, as well as the practical skills of building neural networks to create deep learning models for prediction and for automating and simplifying tasks. Once you've digested the fundamentals, we'll walk you through a project: implementing an artificial neural network in Python to create a deep learning model. Step by step, you'll see how to work with datasets and build each layer of the network. By the end of the course, you will be familiar with the fundamental neural network architectures, including recurrent neural networks (RNNs) and convolutional neural networks (CNNs)) networks, and you will be able to build your own DL neural networks using Python, Keras, and Tensorflow. In short, you will be ready to build models and create programs that take data input and automate feature extraction, simplifying real-world tasks for humans. This video course stands out from the hundreds of machine learning resources available on the internet because it filters out the fluff and unnecessary information and focuses on the essentials you need to get started on your deep learning journey. Consider this a fundamentals course that suits both beginners and more advanced deep learning practitioners who are looking to refresh or fill in the gaps in their knowledge.
    Note: Vendor-supplied metadata
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  • 13
    Online Resource
    Online Resource
    [Place of publication not identified] : Manning Publications
    Language: English
    Pages: 1 online resource (1 video file (1 hr., 43 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.133
    Keywords: Python (Computer program language) ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Python packages have a lot of moving parts, and it can be daunting making sure it's all set up properly before you put something out there. Join Dane Hillard as he thinks of a Python package to create, which he then builds and publishes from scratch!.
    Note: Online resource; title from title details screen (O'Reilly, viewed March 22, 2022)
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  • 14
    Online Resource
    Online Resource
    [Place of publication not identified] : Manning Publications
    Language: English
    Pages: 1 online resource (1 video file (1 hr., 20 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.13/3
    Keywords: Python (Computer program language) ; Data structures (Computer science) ; Computer algorithms ; Algorithms ; Python (Langage de programmation) ; Structures de données (Informatique) ; Algorithmes ; algorithms ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet ; Webcast
    Abstract: In this video, Kyle demonstrates how to write programs to help users analyze housing data. You'll learn to read and write CSV files, and you'll implement algorithms to efficiently sort, search through, and de-duplicate the data.
    Note: Online resource; title from title details screen (O'Reilly, viewed April 12, 2022)
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  • 15
    Online Resource
    Online Resource
    [Place of publication not identified] : Manning Publications
    Language: English
    Pages: 1 online resource (1 video file (9 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.1/33
    Keywords: Python (Computer program language) ; Information visualization ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Learn how to visualize year-wise mean values using a grouped bar plot and how to perform exploratory data analysis using subplots of different types.
    Note: Online resource; title from title details screen (O'Reilly, viewed September 27, 2022)
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  • 16
    Online Resource
    Online Resource
    [Place of publication not identified] : Manning Publications
    Language: English
    Pages: 1 online resource (1 video file (8 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.13/3
    Keywords: Python (Computer program language) ; Computer programming ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Learn how to install Anaconda and get started with the Jupyter Notebook application for creating your Python projects.
    Note: Online resource; title from title details screen (O'Reilly, viewed September 27, 2022)
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  • 17
    Online Resource
    Online Resource
    [Place of publication not identified] : Manning Publications
    Language: English
    Pages: 1 online resource (1 video file (48 min.)) , sound, color.
    Edition: [First edition].
    DDC: 006.35
    Keywords: Python (Computer program language) ; Natural language processing (Computer science) ; Neural networks (Computer science) ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: In this video, Hobson Lane uses nessvectors to measure the hotness and coolness of names and words.
    Note: Online resource; title from title details screen (O'Reilly, viewed March 22, 2022)
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  • 18
    Online Resource
    Online Resource
    [Place of publication not identified] : Manning Publications
    Language: English
    Pages: 1 online resource (1 video file (15 hr., 3 min.)) , sound, color.
    Edition: Second edition.
    DDC: 006.31
    Keywords: Python (Computer program language) ; Machine learning ; Neural networks (Computer science) ; Neural Networks, Computer ; Python (Langage de programmation) ; Apprentissage automatique ; Réseaux neuronaux (Informatique) ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet ; Webcast
    Abstract: In Video Editions the narrator reads the book while the content, figures, code listings, diagrams, and text appear on the screen. Like an audiobook that you can also watch as a video. Chollet is a master of pedagogy and explains complex concepts with minimal fuss, cutting through the math with practical Python code. He is also an experienced ML researcher and his insights on various model architectures or training tips are a joy to read. Martin Görner, Google Unlock the groundbreaking advances of deep learning with this extensively revised new edition of the bestselling original. Learn directly from the creator of Keras and master practical Python deep learning techniques that are easy to apply in the real world. In Deep Learning with Python, Second Edition you will learn: Deep learning from first principles Image classification and image segmentation Timeseries forecasting Text classification and machine translation Text generation, neural style transfer, and image generation Deep Learning with Python has taught thousands of readers how to put the full capabilities of deep learning into action. This extensively revised second edition introduces deep learning using Python and Keras, and is loaded with insights for both novice and experienced ML practitioners. You'll learn practical techniques that are easy to apply in the real world, and important theory for perfecting neural networks. about the technology Recent innovations in deep learning unlock exciting new software capabilities like automated language translation, image recognition, and more. Deep learning is quickly becoming essential knowledge for every software developer, and modern tools like Keras and TensorFlow put it within your reach--even if you have no background in mathematics or data science. This book shows you how to get started. about the book Deep Learning with Python, Second Edition introduces the field of deep learning using Python and the powerful Keras library. In this revised and expanded new edition, Keras creator François Chollet offers insights for both novice and experienced machine learning practitioners. As you move through this book, you'll build your understanding through intuitive explanations, crisp illustrations, and clear examples. You'll quickly pick up the skills you need to start developing deep-learning applications. about the audience For readers with intermediate Python skills. No previous experience with Keras, TensorFlow, or machine learning is required. about the author François Chollet is a software engineer at Google and creator of the Keras deep-learning library. Immerse yourself into this exciting introduction to the topic with lots of real-world examples. A must-read for every deep learning practitioner. Sayak Paul, Carted The modern classic just got better. Edmon Begoli, Oak Ridge National Laboratory Truly the bible of deep learning. Yiannis Paraskevopoulos, University of West Attica NARRATED BY DEREK DYSART.
    Note: Online resource; title from title details screen (O'Reilly, viewed March 10, 2022)
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  • 19
    Online Resource
    Online Resource
    [Place of publication not identified] : Manning Publications
    Language: English
    Pages: 1 online resource (1 video file (57 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.13/3
    Keywords: Python (Computer program language) ; Social networks ; Graph theory Data processing ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: A primer for social network analysis using Python's NetworkX graph analysis library.
    Note: Online resource; title from title details screen (O'Reilly, viewed July 25, 2022)
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  • 20
    Online Resource
    Online Resource
    [Place of publication not identified] : Manning Publications
    Language: English
    Pages: 1 online resource (1 video file (41 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.13/3
    Keywords: Python (Computer program language) ; Computer programming ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Manning's authors Reuven Lerner and Dane Hillard discuss the past, present, and future of the Python programming language, privacy engineering, Big Data, and ethics. Their passionate and dynamic conversation in this Code Call Session is geared toward becoming a Pythonista pro.
    Note: Online resource; title from title details screen (O'Reilly, viewed July 25, 2022)
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  • 21
    Online Resource
    Online Resource
    [Place of publication not identified] : Manning Publications
    Language: English
    Pages: 1 online resource (1 video file (17 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.13/3
    Keywords: Python (Computer program language) ; Computer programming ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Applying the full spectrum of unsupervised learning algorithms.
    Note: Online resource; title from title details screen (O'Reilly, viewed August 10, 2022)
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  • 22
    Online Resource
    Online Resource
    [Place of publication not identified] : Manning Publications
    Language: English
    Pages: 1 online resource (1 video file (44 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.1/17
    Keywords: Python (Computer program language) ; Application software Development ; Python (Langage de programmation) ; Logiciels d'application ; Développement ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet ; Webcast
    Abstract: In this tour de force live coding session, an expert Python coach Reuven Lerner shows you how functions work behind the scenes and how you can use them in different ways.
    Note: Online resource; title from title details screen (O'Reilly, viewed April 12, 2022)
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  • 23
    Online Resource
    Online Resource
    [Place of publication not identified] : Manning Publications
    Language: English
    Pages: 1 online resource (1 video file (1 hr., 27 min.)) , sound, color.
    Edition: [First edition].
    DDC: 006.3/1
    Keywords: Deep learning (Machine learning) ; Python (Computer program language) ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Explanation of distributed gradient descent with an algorithm Horovod using multivariate linear regression in PyTorch and Python.
    Note: Online resource; title from title details screen (O'Reilly, viewed July 12, 2022)
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  • 24
    Online Resource
    Online Resource
    Sebastopol, CA : O'Reilly | Boston, MA :Safari,
    Language: English
    Pages: xix, 213 p. , ill. ; , 24 cm
    Edition: 1st ed.
    Keywords: Computer networks ; Design and construction ; Internet programming ; Open source software ; Python (Computer program language) ; Electronic books ; local
    Abstract: Twisted Network Programming Essentials from O'Reilly is a task-oriented look at this new open source, Python-based technology. The book begins with recommendations for various plug-ins and add-ons to enhance the basic package as installed. It then details Twisted's collection simple network protocols, and helper utilities. The book also includes projects that let you try out the Twisted framework for yourself. For example, you'll find examples of using Twisted to build web services applications using the REST architecture, using XML-RPC, and using SOAP. Written for developers who want to start building applications using Twisted, this comprehensive guide presents examples of the most common tasks you'll face when building network applications. It also helps you understand the key concepts and design patterns used in Twisted applications. Here are just some of the topics discussed in Twisted Network Programming Essentials : Installing Twisted How to make TCP connections How to use Twisted to work with the Web Twisted's authentication framework Usenet and SSH clients and servers Along the way, each lesson is supported by thorough notes and explanations to make absolutely certain you're up to speed with this leading-edge Python technology.
    Note: "Foreword by Glyph Lefkowitz, creator of Twisted"--Cover. - Includes index
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  • 25
    Online Resource
    Online Resource
    Sebastopol, CA : O'Reilly Media | Boston, MA :Safari,
    Language: English
    Pages: xxxiii, 807 p. ; , 24 cm
    Edition: 2nd ed.
    DDC: 005.133
    Keywords: Python (Computer program language) ; Electronic books ; local
    Abstract: Portable, powerful, and a breeze to use, Python is the popular open source object-oriented programming language used for both standalone programs and scripting applications. It is now being used by an increasing number of major organizations, including NASA and Google.Updated for Python 2.4, The Python Cookbook , 2nd Edition offers a wealth of useful code for all Python programmers, not just advanced practitioners. Like its predecessor, the new edition provides solutions to problems that Python programmers face everyday.It now includes over 200 recipes that range from simple tasks, such as working with dictionaries and list comprehensions, to complex tasks, such as monitoring a network and building a templating system. This revised version also includes new chapters on topics such as time, money, and metaprogramming.Here's a list of additional topics covered: Manipulating text Searching and sorting Working with files and the filesystem Object-oriented programming Dealing with threads and processes System administration Interacting with databases Creating user interfaces Network and web programming Processing XML Distributed programming Debugging and testing Another advantage of The Python Cookbook , 2nd Edition is its trio of authors--three well-known Python programming experts, who are highly visible on email lists and in newsgroups, and speak often at Python conferences.With scores of practical examples and pertinent background information, The Python Cookbook , 2nd Edition is the one source you need if you're looking to build efficient, flexible, scalable, and well-integrated systems.
    Note: "Covers Python 2.3 & 2.4"--Cover. - "Recipes from the Python community"--Cover. - Includes index
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  • 26
    Online Resource
    Online Resource
    Sebastopol, CA : O'Reilly | Boston, MA :Safari,
    Language: English
    Pages: xxvi, 591 p. , ill. ; , 24 cm
    Edition: 2nd ed.
    DDC: 005.13/3
    Keywords: Python (Computer program language) ; Electronic books ; local
    Abstract: Portable, powerful, and a breeze to use, Python is the popular open source object-oriented programming language used for both standalone programs and scripting applications. Python is considered easy to learn, but there's no quicker way to mastery of the language than learning from an expert teacher. This edition of Learning Python puts you in the hands of two expert teachers, Mark Lutz and David Ascher, whose friendly, well-structured prose has guided many a programmer to proficiency with the language. Learning Python , Second Edition, offers programmers a comprehensive learning tool for Python and object-oriented programming. Thoroughly updated for the numerous language and class presentation changes that have taken place since the release of the first edition in 1999, this guide introduces the basic elements of the latest release of Python 2.3 and covers new features, such as list comprehensions, nested scopes, and iterators/generators. Beyond language features, this edition of Learning Python also includes new context for less-experienced programmers, including fresh overviews of object-oriented programming and dynamic typing, new discussions of program launch and configuration options, new coverage of documentation sources, and more. There are also new use cases throughout to make the application of language features more concrete. The first part of Learning Python gives programmers all the information they'll need to understand and construct programs in the Python language, including types, operators, statements, classes, functions, modules and exceptions. The authors then present more advanced material, showing how Python performs common tasks by offering real applications and the libraries available for those applications. Each chapter ends with a series of exercises that will test your Python skills and measure your understanding. Learning Python , Second Edition is a self-paced book that allows readers to focus on the core Python language in depth. As you work through the book, you'll gain a deep and complete understanding of the Python language that will help you to understand the larger application-level examples that you'll encounter on your own. If you're interested in learning Python--and want to do so quickly and efficiently--then Learning Python , Second Edition is your best choice.
    Note: Includes index
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  • 27
    Online Resource
    Online Resource
    Beijing ; : O'Reilly | Boston, MA :Safari,
    Language: English
    Pages: xv, 636 p. , ill. ; , 23 cm
    Edition: 1st ed.
    DDC: 005.13/3
    Keywords: Python (Computer program language) ; Electronic books ; local
    Abstract: Ask any Python aficionado and you'll hear that Python programmers have it all: an elegant language that offers object-oriented programming support, a readable, maintainable syntax, integration with C components, and an enormous collection of precoded standard library and extension modules. Moreover, Python is easy to learn but powerful enough to take on the most ambitious programming challenges. But what Python programmers have lacked is one concise and clear reference resource, with the appropriate measure of guidance in how best to use Python's great power. Now Python in a Nutshell fills this need. In the tradition of O'Reilly's "In a Nutshell" series, this book offers Python programmers one place to look when they need help remembering or deciphering the syntax of this open source language and its many modules. This comprehensive reference guide makes it easy to look up all the most frequently needed information--not just about the Python language itself, but also the most frequently used parts of the standard library and the most important third-party extensions. Python in a Nutshell focuses on Python 2.2 (and all its point releases), currently the most stable and widespread Python release. This book includes: A fast-paced tutorial on the syntax of the Python language itself An explanation of object-oriented programming in Python, covering both the classic and new-style object models Coverage of other core topics, including exceptions, modules, strings, and regular expressions A quick reference for Python's built-in types and functions, as well as the key modules in the Python standard library, including sys, os, time, thread, math, and socket, among many others Reference material on important third-party extensions, such as Numeric and Tkinter Information about extending Python and embedding it into other applications Python in a Nutshell provides a solid, no-nonsense quick reference to information that programmers rely on the most. This latest addition to the best-selling "In a Nutshell" series will immediately earn its place in any Python programmer's library.
    Note: "Covers Python 2.2"--Cover. - Includes bibliographical references (p. 10-11) index
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  • 28
    Online Resource
    Online Resource
    Boston : Addison-Wesley | Boston, MA :Safari,
    Language: English
    Pages: xix, 520 p. ; , 24 cm
    DDC: 005.13/3
    Keywords: Python (Computer program language) ; Text processing (Computer science) ; Electronic books ; local
    Abstract: Text Processing in Python is an example-driven, hands-on tutorial that carefully teaches programmers how to accomplish numerous text processing tasks using the Python language. Filled with concrete examples, this book provides efficient and effective solutions to specific text processing problems and practical strategies for dealing with all types of text processing challenges. Text Processing in Python begins with an introduction to text processing and contains a quick Python tutorial to get you up to speed. It then delves into essential text processing subject areas, including string operations, regular expressions, parsers and state machines, and Internet tools and techniques. Appendixes cover such important topics as data compression and Unicode. A comprehensive index and plentiful cross-referencing offer easy access to available information. In addition, exercises throughout the book provide readers with further opportunity to hone their skills either on their own or in the classroom. A companion Web site (http://gnosis.cx/TPiP) contains source code and examples from the book. Here is some of what you will find in thie book: When do I use formal parsers to process structured and semi-structured data? Page 257 How do I work with full text indexing? Page 199 What patterns in text can be expressed using regular expressions? Page 204 How do I find a URL or an email address in text? Page 228 How do I process a report with a concrete state machine? Page 274 How do I parse, create, and manipulate internet formats? Page 345 How do I handle lossless and lossy compression? Page 454 How do I find codepoints in Unicode? Page 465 0321112547B05022003
    Note: Includes bibliographical references (p. xvii-xix) and index
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  • 29
    Online Resource
    Online Resource
    Sebastopol, CA : O'Reilly | Boston, MA :Safari,
    Language: English
    Pages: iv, 124 p. ; , 18 cm
    Edition: 2nd ed.
    DDC: 005.13/3
    Keywords: Python (Computer program language) ; Electronic books ; local
    Abstract: Python is optimized for quality, productivity, portability, and integration. Hundreds of thousands of Python developers around the world rely on Python for Internet scripting, systems programming, user interfaces, and product customization. Python is available on all major computing platforms, including commercial versions of Unix, Linux, Windows, and Mac OS. It's portable, powerful, and remarkably easy to use. It's also an interpreted language, designed for rapid application development and deployment. Python Pocket Reference, 2nd Edition is a companion volume to two O'Reilly Animal Guides, Programming Python, 2nd Edition and Learning Python . It summarizes Python statements and types, built-in functions, commonly used library modules, and other prominent Python language features. This pocket reference covers the latest Python release 2.2, and provides quick access to just what you're looking for. It is a short, concise reference for the most commonly used libraries and tools. The new edition also includes new summary material for Python's GUI, Internet, and database programming tools. The author, Mark Lutz, is a Python luminary-who has been on the Python scene since its inception.
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  • 30
    Online Resource
    Online Resource
    Sebastopol, CA : O'Reilly | Boston, MA :Safari,
    Language: English
    Pages: xxix, 574 p. ; , 24 cm
    DDC: 005.13/3
    Keywords: Python (Computer program language) ; Electronic books ; local
    Abstract: The Python Cookbook is a collection of problems, solutions, and practical examples for Python programmers, written by Python programmers. Over the past year, members of the Python community have contributed material to an online repository of Python recipes hosted by ActiveState. This book contains the best of those recipes, accompanied by overviews and background material by key Python figures. The recipes in the Python Cookbook range from simple tasks, such as working with dictionaries and list comprehensions, to entire modules that demonstrate templating systems and network monitoring. This book contains over 200 recipes on the following topics: Searching and sorting Manipulating text Working with files and the filesystem Object-oriented programming Dealing with threads and processes System administration Interacting with databases Creating user interfaces Network and web programming Processing XML Distributed programming Debugging and testing Extending Python This book is a treasure trove of useful code for all Python programmers, from novices to advanced practitioners, with contributions from such Python luminaries as Guido Van Rossum, David Ascher, Tim Peters, Paul Prescod, Mark Hammond, and Alex Martelli, as well as over 100 other Python programmers. The recipes highlight Python best practices and can be used directly in day-to-day programming tasks, as a source of ideas, or as a way to learn more about Python. The recipes in the Python Cookbook were edited by David Ascher, who is on the board of the Python Software Foundation and is the co-author of Learning Python, and Alex Martelli, who is known for his numerous and exhaustive postings on the Python mailing list. The book contains a foreword by Guido van Rossum, the creator of Python.
    Note: "Recipes from the Python community"--Cover. - Includes index
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  • 31
    Online Resource
    Online Resource
    Sebastopol, Calif. : O'Reilly | Boston, MA :Safari,
    Language: English
    Pages: xvi, 360 p. , ill. ; , 24 cm
    Edition: 1st ed.
    DDC: 005.7/2
    Keywords: Python (Computer program language) ; XML (Document markup language) ; Electronic books ; local
    Abstract: If you are a Python programmer who wants to incorporate XML into your skill set, this is the book for you. Python has attracted a wide variety of developers, who use it either as glue to connect critical programming tasks together, or as a complete cross-platform application development language. Yet, because it is object-oriented and has powerful text manipulation abilities, Python is an ideal language for manipulating XML. Python & XML gives you a solid foundation for using these two languages together. Loaded with practical examples, this new volume highlights common application tasks, so that you can learn by doing. The book starts with the basics then quickly progresses to complex topics, like transforming XML with XSLT, querying XML with XPath, and working with XML dialects and validation. It also explores the more advanced issues: using Python with SOAP and distributed web services, and using Python to create scalable streams between distributed applications (like databases and web servers).The book provides effective practical applications, while referencing many of the tools involved in XML processing and Python, and highlights cross-platform issues along with tasks relevant to enterprise computing. You will find ample coverage of XML flow analysis and details on ways in which you can transport XML through your network.Whether you are using Python as an application language, or as an administrative or middleware scripting language, you are sure to benefit from this book. If you want to use Python to manipulate XML, this is your guide.
    Note: Includes index
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  • 32
    Online Resource
    Online Resource
    Boston : Addison-Wesley | Boston, MA :Safari,
    Language: English
    Pages: xiv, 299 p. , ill. ; , 24 cm
    DDC: 005.133
    Keywords: Perl (Computer program language) ; Python (Computer program language) ; Electronic books ; local
    Abstract: Perl to Python Migration provides a useful and practical resource for programmers that are currently intermediate or expert in using Perl and who want to migrate to using Python for different programming projects. The book achieves this by first giving the user an overview and refresher of the Perl techniques required before giving the information on using Python to achieve the same result. Examples of both Python and Perl will be available on-line on the author's website.
    Note: Includes bibliographical references and index
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  • 33
    Language: English
    Pages: p. cm
    DDC: 005.2/762
    Keywords: Application software ; Development ; Java (Computer program language) ; Python (Computer program language) ; Electronic books ; local
    Abstract: Characterized by ease of use, richness of expression, and concise syntax, Python has remained a premier programming language for more than a decade, and is used by novices and professionals alike. In particular, its close relationship to Java™ makes the two languages, when used in combination, ideal for Web and distributed enterprise application development. This tutorial begins with coverage of some of the basics of Python programming. Using plenty of skill-building exercises and interactive programming sessions, this book will help those new to programming develop an understanding of concepts and practical techniques. For experienced programmers, the book demonstrates Python's breadth of capabilities and shows the ways that Python interfaces with Java APIs for professional application development. Python Programming with the Java™ Class Libraries: A Tutorial for Building Web and Enterprise Applications with Jython covers important topics such as: Fundamental programming concepts, including statements, expressions, interpreters, and compilers Python basics, including operators, string formatting, namespaces, classes, errors, and exceptions Object-oriented programming concepts File input/output Python's intrinsic functions Formatting, parsing, and manipulating strings Interfacing with the Java APIs and working with Java Streams Using Python and Java Swing to create GUIs Working with SQL and JDBC™ Python and Java applets In addition, the book contains instructions for downloading and installing the Python language and the Java Development Kit (JDK). Terminology, definitions, explanations, and numerous code samples make this book a useful learning experience. Whether you are a sophisticated computer user new to programming or a serious application developer, Python Programming with the Java™ Class Libraries will give you insight into the power of Python and the know-how to put it to work. 0201616165B07022002
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  • 34
    Online Resource
    Online Resource
    Beijing : O'Reilly | Boston, MA :Safari,
    Language: English
    Pages: xxxvii, 1255 p. , ill. ; , 24 cm. +
    Edition: 2nd ed.
    DDC: 005.13/3
    Keywords: Python (Computer program language) ; Electronic books ; local
    Abstract: Programming Python focuses on advanced uses of the Python programming/scripting language, which has evolved from an emerging language of interest primarily to pioneers, to a widely accepted tool that traditional programmers use for real day-to-day development tasks. With Python, you can do almost anything you can do with C++; but Python is an interpreted language designed for rapid application development and deployment. Among other things, Python supports object-oriented programming; a remarkably simple, readable, and maintainable syntax; integration with C components; and a vast collection of pre-coded interfaces and utilities. As Python has grown to embrace developers on a number of different platforms (Unix, Linux, Windows, Mac), companies have taken notice and are adopting Python for their products. It has shown up animating the latest Star Wars movie, serving up maps and directories on the Internet, guiding users through Linux installations, testing chips and boards, managing Internet discussion forums, scripting online games, and even scripting wireless products. Programming Python is the most comprehensive resource for advanced Python programmers available today. Reviewed and endorsed by Python creator Guido van Rossum, who also provides the foreword, this book zeroes in on real-world Python applications. It's been updated for Python 2.0 and covers Internet scripting, systems programming, Tkinter GUIs, C integration domains, and new Python tools and applications. Among them: IDLE, JYthon, Active Scripting and COM extensions, Zope, PSP server pages, restricted execution mode, the HTMLgen and SWIG code generators, thread support, CGI and Internet protocol modules. Such applications are the heart and soul of this second edition. Veteran O'Reilly author Mark Lutz has included a platform-neutral CD-ROM with book examples and various Python-related packages, including the full Python 2.0 source code distribution.
    Note: Includes bibliographical references and index
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  • 35
    Online Resource
    Online Resource
    Indianapolis, Ind. : New Riders | Boston, MA :Safari,
    Language: English
    Pages: xviii, 398 p. ; , 23 cm
    Edition: 2nd ed.
    DDC: 005.13/3
    Keywords: Python (Computer program language) ; Electronic books ; local
    Abstract: Python Essential Reference, Second Edition, is the definitive guide to the Python programming language. Designed for programmers, it covers the core language, more than 100 modules in the standard library, and the techniques used to extend Python with compiled procedures in C or C++. Coverage expands upon and clarifies existing Python documentation - especially for advanced topics, including operating system interfaces, threads, network programming, and Unicode. Concise, to the point, and extensively indexed, readers will find this volume packed with information not previously available in any other single reference source. Updated for Python 2.1, it is a must-have for any serious programmer wanting to develop advanced Python applications. As a comprehensive reference to the Python programming language, this book will help you: Learn about the features in Python 2.0 and 2.1 Master the details of Python types, operators, and the execution model Discover the details of Unicode and internationalization support Learn the details of operating system interfaces, threads, and network-programming modules Build C/C++ extensions to Python Make effective use of the Python library Find the information you need to start developing advanced Python applications
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  • 36
    Online Resource
    Online Resource
    Beijing ; : O'Reilly | Boston, MA :Safari,
    Language: English
    Pages: xvi, 281 p. ; , 24 cm. +
    Edition: 1st ed.
    DDC: 005.13/3
    Keywords: Python (Computer program language) ; Electronic books ; local
    Abstract: Python Standard Library is an essential guide for serious Python programmers. Python is a modular language that imports most useful operations from the standard library (basic support modules; operating system interfaces; network protocols; file formats; data conversions; threads and processes; and data storage). You can't really program in Python without using it. In this book, author Fredrik Lundh, creator of the Python Imaging Library (PIL), delivers tested, accurate documentation of all the modules in the Python Standard Library, along with over 300 annotated example scripts using the modules. Python Standard Library renders this valuable information in a clean, easy-to-read format, yet doesn't talk down to readers. This accurate and complete reference documentation is for the Python programmer who wants the facts and little else. The book is based on the author's work with the Python newsgroup: he reviewed more than 2500 questions and answers to that newsgroup in order to make sure the book covered what Python users really wanted to know. An earlier version of this book has been available electronically for over a year, so the material has been tested by Python programmers in real-life applications. This version of Python Standard Library covers all the new modules and related information for Python 2.0, the first new major release of Python in four years.
    Note: CD-ROM includes programming examples from the book and a demo of the PythonWorks IDE. - Includes index
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  • 37
    Online Resource
    Online Resource
    Indianapolis, Ind. : Sams | Boston, MA :Safari,
    Language: English
    Pages: xxv, 929 p. , ill. ; , 24 cm
    DDC: 005.13/3
    Keywords: Object-oriented programming (Computer science) ; Python (Computer program language) ; Electronic books ; local
    Abstract: The Python Developer's Handbook is designed to expose experienced developers to Python and its uses. Beginning with a brief introduction to the language and its syntax, the book moves quickly into more advanced programming topics, including embedding Python, network programming, GUI toolkits, JPython, Web development, Python/C API, and more. Python is an interpreted, object-oriented programming language. Its syntax is simple and easy to learn, and it encourages programmers to write and think clearly. The Python Developer's Handbook is carefully written, well-organized introduction to this powerful, fast-growing programming language for experienced developers.
    Note: Includes index
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  • 38
    Online Resource
    Online Resource
    Upper Saddle River, NJ : Prentice Hall | Boston, MA :Safari,
    Language: English
    Pages: xxix, 771 p. ; , 24 cm. +
    DDC: 005.13/3
    Keywords: Python (Computer program language) ; Electronic books ; local
    Abstract: New to Python? This is the developer's guide to Python development! Learn the core features of Python as well as advanced topics such as regular expressions, multithreaded programming, Web/Internet and network development, GUI development with Tk(inter) and more Also includes features found in the new Python 1.6 and 2.0 releases CD-ROM: Complete Python distributions (source code, documentation, and various binaries) plus all example scripts in the book Python is an Internet and systems programming language that is soaring in popularity in today's fast-paced software development environment, and no wonder: it's simple (yet robust), object-oriented (yet can be used as a procedural language), extensible, scalable and features an easy to learn syntax that is clear and concise. Python combines the power of a compiled object language like Java and C++ with the ease of use and rapid development time of a scripting language. In fact, it's syntax is so easy to understand that you are more likely to pick it up faster than any of the other popular scripting languages in use today! In Core Python Programming , Internet software engineer and technical trainer Wesley Chun provides intermediate and experienced developers all they need to know to learn Python-fast. Like all Core Series books, Core Python Programming delivers hundreds of industrial-strength code snippets and examples, all targeted at professional developers who want to leverage their existing skills! In particular, Core Python Programming presents numerous interactive examples that can be entered into the Python interpreter right in front of you! Finally, we present a chapter that shows you step-by-step how to extend Python using C or C++. Python syntax and style Development and Run-time Environments Objects and Python memory management Standard data types, methods, and operators Loops and conditionals Files and Input/Output Exceptions and error handling Functions, scope, arguments, and functional programming Importing modules and module attributes Object-oriented Programming with classes, methods, and instances Callable Objects Extending Python Coverage of the Python standard module library and client-server application development includes comprehensive introductions to the following topics in Python programming: Regular expressions TCP/IP and UDP/IP Network programming using sockets Operating system interface GUI development with Tk using Tkinter Multithreaded programming Interactive Web/CG...
    Note: Includes bibliographical references and index
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  • 39
    Online Resource
    Online Resource
    Upper Saddle River, NJ : Prentice Hall | Boston, MA :Safari,
    Language: English
    Pages: xxiv, 527 p. , ill. ; , 24 cm. +
    DDC: 005.7/2
    Keywords: Python (Computer program language) ; XML (Document markup language) ; Electronic books ; local
    Abstract: Breakthrough techniques for building XML applications - fast! Includes a detailed Python tutorial Learn about DOM and SAX application development with Python Exclusive coverage of the new Pyxie XML processing library CD-ROM includes Python and Pyxie distributions for Windows NT and Linux-plus powerful utilities and lots of working code "XML processing is the newest required skill for webmasters and application developers. The Python language and Sean McGrath's book make it fun to learn and easy to do." - Charles F. Goldfarb When it comes to XML processing, Python is in a league of its own. If you're doing XML development without Python, you're wasting time! Python offers outstanding productivity - especially in the areas that matter most to XML developers, such as XML parsing, DOM/SAX implementations, string processing, and Internet APIs. And now there's Pyxie - the new open source library that makes Python XML processing even easier and more powerful. In XML Processing with Python , top XML developer Sean McGrath delivers the hands-on explanations and examples you need to get results with Python and Pyxie fast - even if you've never used them before! Install Python and the Pyxie XML package Learn the fundamentals of Python: control structures, classes, nested lists, dictionaries, and regular rexpresions Process XML with regular expression-driven, event-driven, and tree-driven techniques Understand Python's support for DOM and SAX APIs Explore the power of Python/XML through worked examples of GUI development, database integration, and an XML query-by-example implementation. Elegant, easy, powerful and fun, Python helps you build world-class XML applications in less time than you ever imagined. If you know XML, one book has all the techniques, code, and tools you'll need to process it: XML Processing with Python . CD-ROM INCLUDED The accompanying CD-ROM contains everything you need to develop XML applications with Python - including complete Python distributions for Windows and Linux the Pyxie open-source libraries powerful utility programs an extensive library of sample source code tested on both Windows NT and Linux
    Note: Includes index
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  • 40
    Online Resource
    Online Resource
    Beijing ; : O'Reilly | Boston, MA :Safari,
    Language: English
    Pages: xvii, 652 p. , ill. ; , 24 cm
    Edition: 1st ed.
    DDC: 005.265
    Keywords: Microsoft Win32 ; Python (Computer program language) ; Electronic books ; local
    Abstract: Python is growing in popularity; based on download statistics, there are now over 450,000 people using Python, and more than 150,000 people using Python on Windows. Use of the language has been growing at about 40% per year since 1995, and there is every reason to believe that growth will continue.Despite Python's increasing popularity on Windows, Python Programming on Win32 is the first book to demonstrate how to use it as a serious Windows development and administration tool. Unlike scripting on Unix, Windows scripting involves integrating a number of components, such as COM or the various mail and database APIs, with the Win32 programming interface. While experienced Windows C++ programmers can find their way through the various objects, most people need some guidance, and this book is it. It addresses all the basic technologies for common integration tasks on Windows, explaining both the Windows issues and the Python code you need to glue things together.Topics include: The Python language and the PythonWin extensions Building a GUI with COM Adding a Macro language Distributing the application Client-side COM for output and data access Integration with mail and other internet protocols Managing users and drives This is a vital and unique book. Python Programming on Win32 is an excellent presentation of Windows application development and a solid illustration of how to use Python in the Windows environment.
    Note: Includes index
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  • 41
    Online Resource
    Online Resource
    Beijing ; : O'Reilly | Boston, MA :Safari,
    Language: English
    Pages: xvi, 366 p. , ill. ; , 24 cm
    Edition: 1st ed.
    DDC: 005.13/3
    Keywords: Python (Computer program language) ; Electronic books ; local
    Abstract: Learning Python is an introduction to the increasingly popular Python programming language. Python is an interpreted, interactive, object-oriented scripting language. Python is growing in popularity because: It is available on all important platforms: Windows NT, Windows 95, Windows 98, Linux, all major UNIX platforms, MacOS, and even the BeOS. It is open-source software, copyrighted but freely available for use, even in commercial applications. Its clean object-oriented interface makes it a valuable prototyping tool for C++ programmers. It works well with all popular windowing toolkits, including MFC, Tk, Mac, X11, and Motif. Learning Python is written by Mark Lutz, author of Programming Python and Python Pocket Reference ; and David Ascher, a vision scientist and Python user. This book starts with a thorough introduction to the elements of Python: types, operators, statements, classes, functions, modules, and exceptions. By reading the first part of the book, the reader will be able to understand and construct programs in the Python language. In the second part of the book, the authors present more advanced information, demonstrating how Python performs common tasks and presenting real applications and the libraries available for those applications. All the examples use the Python interpreter, so the reader can type them in and get instant feedback. Each chapter ends with a series of exercises. Solutions to the exercises are in an appendix.
    Note: Includes index
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  • 42
    Online Resource
    Online Resource
    Beijing ; : O'Reilly | Boston, MA :Safari,
    Language: English
    Pages: iii, 75 p. ; , 18 cm
    Edition: 1st ed.
    DDC: 005.13/3
    Keywords: Python (Computer program language) ; Electronic books ; local
    Abstract: Python is a popular object-oriented scripting language that is freely available over the Net. It's portable, powerful, and remarkably easy to use. Python is commonly used for both stand-alone programs and scripting applications, in a wide variety of domains. This book is a companion volume to two O'Reilly Animal Guides, Programming Python and Learning Python . It summarizes Python statements and types, built-in functions, commonly used library modules, and other prominent Python language features. This pocket reference covers the latest Python release and complements Python's online reference material.
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