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Python Tutorial 3 11 3 Book in PDF, ePub and Kindle version is available to download in english. Read online anytime anywhere directly from your device. Click on the download button below to get a free pdf file of Python Tutorial 3 11 3 book. This book definitely worth reading, it is an incredibly well-written.
Author : Guido Van Rossum,Python Development Team
Publisher : Unknown
Page : 0 pages
File Size : 45,5 Mb
Release : 2023-05-12
Category : Electronic
ISBN : 1312571659
Author : Charles R. Severance
Publisher : Unknown
Page : 242 pages
File Size : 46,8 Mb
Release : 2016-04-09
Category : Electronic
ISBN : 1530051126
Python for Everybody is designed to introduce students to programming and software development through the lens of exploring data. You can think of the Python programming language as your tool to solve data problems that are beyond the capability of a spreadsheet.Python is an easy to use and easy to learn programming language that is freely available on Macintosh, Windows, or Linux computers. So once you learn Python you can use it for the rest of your career without needing to purchase any software.This book uses the Python 3 language. The earlier Python 2 version of this book is titled "Python for Informatics: Exploring Information".There are free downloadable electronic copies of this book in various formats and supporting materials for the book at www.pythonlearn.com. The course materials are available to you under a Creative Commons License so you can adapt them to teach your own Python course.
Author : Herong Yang
Publisher : HerongYang.com
Page : 282 pages
File Size : 49,6 Mb
Release : 2022-04-01
Category : Computers
ISBN : 8210379456XXX
This Python tutorial book is a collection of notes and sample codes written by the author while he was learning Python language himself. Topics include: installing Python environments on Windows, macOS and Linux computer; Python built-in data types; variables, operations, expressions and statements; user-defined functions; iterators, generators and list comprehensions; modules and packages; sys, os, and pathlib modules; Anaconda Python environment manager; Jupyter Notebooks; NumPy, SciPy libraries. Updated in 2023 (Version v2.14) with minor changes. For latest updates and free sample chapters, visit https://www.herongyang.com/Python.
Author : Dan Bader
Publisher : Dan Bader
Page : 302 pages
File Size : 44,9 Mb
Release : 2017
Category : Computers
ISBN : 1775093301
"I don't even feel like I've scratched the surface of what I can do with Python" With Python Tricks: The Book you'll discover Python's best practices and the power of beautiful & Pythonic code with simple examples and a step-by-step narrative. You'll get one step closer to mastering Python, so you can write beautiful and idiomatic code that comes to you naturally. Learning the ins and outs of Python is difficult-and with this book you'll be able to focus on the practical skills that really matter. Discover the "hidden gold" in Python's standard library and start writing clean and Pythonic code today. Who Should Read This Book: If you're wondering which lesser known parts in Python you should know about, you'll get a roadmap with this book. Discover cool (yet practical!) Python tricks and blow your coworkers' minds in your next code review. If you've got experience with legacy versions of Python, the book will get you up to speed with modern patterns and features introduced in Python 3 and backported to Python 2. If you've worked with other programming languages and you want to get up to speed with Python, you'll pick up the idioms and practical tips you need to become a confident and effective Pythonista. If you want to make Python your own and learn how to write clean and Pythonic code, you'll discover best practices and little-known tricks to round out your knowledge. What Python Developers Say About The Book: "I kept thinking that I wished I had access to a book like this when I started learning Python many years ago." - Mariatta Wijaya, Python Core Developer "This book makes you write better Python code!" - Bob Belderbos, Software Developer at Oracle "Far from being just a shallow collection of snippets, this book will leave the attentive reader with a deeper understanding of the inner workings of Python as well as an appreciation for its beauty." - Ben Felder, Pythonista "It's like having a seasoned tutor explaining, well, tricks!" - Daniel Meyer, Sr. Desktop Administrator at Tesla Inc.
Author : Sheng Xu
Publisher : CRC Press
Page : 397 pages
File Size : 45,6 Mb
Release : 2022-06-09
Category : Mathematics
ISBN : 9781000596540
This textbook is written for the first introductory course on scientific computing. It covers elementary numerical methods for linear systems, root finding, interpolation, numerical integration, numerical differentiation, least squares problems, initial value problems and boundary value problems. It includes short Matlab and Python tutorials to quickly get students started on programming. It makes the connection between elementary numerical methods with advanced topics such as machine learning and parallel computing. This textbook gives a comprehensive and in-depth treatment of elementary numerical methods. It balances the development, implementation, analysis and application of a fundamental numerical method by addressing the following questions. •Where is the method applied? •How is the method developed? •How is the method implemented? •How well does the method work? The material in the textbook is made as self-contained and easy-to-follow as possible with reviews and remarks. The writing is kept concise and precise. Examples, figures, paper-and-pen exercises and programming problems are deigned to reinforce understanding of numerical methods and problem-solving skills.
Author : Nailong Zhang
Publisher : CRC Press
Page : 206 pages
File Size : 40,6 Mb
Release : 2020-11-11
Category : Computers
ISBN : 9781000215199
A Tour of Data Science: Learn R and Python in Parallel covers the fundamentals of data science, including programming, statistics, optimization, and machine learning in a single short book. It does not cover everything, but rather, teaches the key concepts and topics in Data Science. It also covers two of the most popular programming languages used in Data Science, R and Python, in one source. Key features: Allows you to learn R and Python in parallel Cover statistics, programming, optimization and predictive modelling, and the popular data manipulation tools – data.table and pandas Provides a concise and accessible presentation Includes machine learning algorithms implemented from scratch, linear regression, lasso, ridge, logistic regression, gradient boosting trees, etc. Appealing to data scientists, statisticians, quantitative analysts, and others who want to learn programming with R and Python from a data science perspective.
Author : Lisa Tagliaferri
Publisher : DigitalOcean
Page : 355 pages
File Size : 47,9 Mb
Release : 2018-02-01
Category : Computers
ISBN : 9780999773000
This educational book introduces emerging developers to computer programming through the Python software development language, and serves as a reference book for experienced developers looking to learn a new language or re-familiarize themselves with computational logic and syntax.
Author : Michael Elder,Jake Kitchener,Dr. Brad Topol
Publisher : "O'Reilly Media, Inc."
Page : 270 pages
File Size : 53,7 Mb
Release : 2021-06-08
Category : Computers
ISBN : 9781492083788
Selling your CTO on the merits of OpenShift and Kubernetes is only the beginning. To operate and scale OpenShift, you also need to know how to manage and expose resources to application teams and continuously deliver changes to the applications running in these environments. With this practical book, new and experienced developers and operators will learn specific techniques for operationalizing OpenShift and Kubernetes in the enterprise. Industry experts Michael Elder, Jake Kitchener, and Brad Topol show you how to run OpenShift and Kubernetes in production and deliver your applications to a highly available, secure, and scalable platform. You'll learn how to build a strong foundation in advanced cluster operational topics, such as tenancy management, scheduling and capacity management, cost management, continuous delivery, and more. Examine the fundamental concepts of Kubernetes architecture Get different Kubernetes and OpenShift environments up and running Dive into advanced resource management topics, including capacity planning Learn how to support high availability inside a single cluster Use production-level approaches for continuous delivery and code promotion across clusters Explore hybrid cloud use cases, including multicluster provisioning, upgrading, and policy support Devise and deliver disaster recovery strategies
Author : Zed A. Shaw
Publisher : Addison-Wesley Professional
Page : 750 pages
File Size : 48,5 Mb
Release : 2017-06-26
Category : Computers
ISBN : 9780134693903
You Will Learn Python 3! Zed Shaw has perfected the world’s best system for learning Python 3. Follow it and you will succeed—just like the millions of beginners Zed has taught to date! You bring the discipline, commitment, and persistence; the author supplies everything else. In Learn Python 3 the Hard Way, you’ll learn Python by working through 52 brilliantly crafted exercises. Read them. Type their code precisely. (No copying and pasting!) Fix your mistakes. Watch the programs run. As you do, you’ll learn how a computer works; what good programs look like; and how to read, write, and think about code. Zed then teaches you even more in 5+ hours of video where he shows you how to break, fix, and debug your code—live, as he’s doing the exercises. Install a complete Python environment Organize and write code Fix and break code Basic mathematics Variables Strings and text Interact with users Work with files Looping and logic Data structures using lists and dictionaries Program design Object-oriented programming Inheritance and composition Modules, classes, and objects Python packaging Automated testing Basic game development Basic web development It’ll be hard at first. But soon, you’ll just get it—and that will feel great! This course will reward you for every minute you put into it. Soon, you’ll know one of the world’s most powerful, popular programming languages. You’ll be a Python programmer. This Book Is Perfect For Total beginners with zero programming experience Junior developers who know one or two languages Returning professionals who haven’t written code in years Seasoned professionals looking for a fast, simple, crash course in Python 3
Author : Adrienne B. Tacke
Publisher : Rockridge Press
Page : 0 pages
File Size : 51,6 Mb
Release : 2019-03-19
Category : Juvenile Nonfiction
ISBN : 1641521759
Games and activities that teach kids ages 10+ to code with Python Learning to code isn’t as hard as it sounds―you just have to get started! Coding for Kids: Python starts kids off right with 50 fun, interactive activities that teach them the basics of the Python programming language. From learning the essential building blocks of programming to creating their very own games, kids will progress through unique lessons packed with helpful examples—and a little silliness! Kids will follow along by starting to code (and debug their code) step by step, seeing the results of their coding in real time. Activities at the end of each chapter help test their new knowledge by combining multiple concepts. For young programmers who really want to show off their creativity, there are extra tricky challenges to tackle after each chapter. All kids need to get started is a computer and this book. This beginner’s guide to Python for kids includes: 50 Innovative exercises―Coding concepts come to life with game-based exercises for creating code blocks, drawing pictures using a prewritten module, and more. Easy-to-follow guidance―New coders will be supported by thorough instructions, sample code, and explanations of new programming terms. Engaging visual lessons―Colorful illustrations and screenshots for reference help capture kids’ interest and keep lessons clear and simple. Encourage kids to think independently and have fun learning an amazing new skill with this coding book for kids.
Author : 林信良
Publisher : 自行出版
Page : 198 pages
File Size : 55,9 Mb
Release : 2016-03-16
Category : Electronic
ISBN : 8210379456XXX
關於 Python 2 Tutorial 因為我本身熟悉 Java，也熟悉 Java 生態體系，以一個熟悉某技術社群，想要瞭解 Python 社群生態系的角度，來瞭解並濃縮這門課程，應該能符合大會的要求，因為 Python 入門課程不單單只是希望介紹 Python 程式語言，更大程度上，希望能銜接至次日揭開的 PyCon Taiwan 2013 議程內容，讓參加過 Python 入門課程的人，能夠以較齊的水平，更進一步能參與年會議程。 這個構想獲得大會的同意，因此從去年 12 月開始，就陸續在有空的時候，瞭解 Python 生態系相關技術，而不僅僅是語言層面的東西，也因此最後課程的主旨設計為： 瞭解 Python 生態系（語言、工具、程式庫…）瞭解 Python 社群核心文化（撰碼風格、典範、文件、社群…）建立與 PyCon Taiwan 2013 的連結Python 化（Pythonic） 關於 Python 3 Tutorial 距離為 PyCon Taiwan 2013 設計入門課程，轉眼又經過了三年左右，這段期間也承蒙一些單位邀請，實際執行了幾次 Python 生態之旅，對於課程內容的調整，其實有些想法。 另外，這段期間，Python 3.x 持續在推進中，當中有了不少的改進，以 2015 年 9 月 13 日釋出的 Python 3.5 為例，與最初的 Python 3.0 相比，就多了許多引人注目的特性，像是預載了 `pip`、`pyvenv`，以及有利大型專案型態檢查的 Type Hint 等特性，而社群、業界甚至是教育界，近來聽到的 Python 3.x 需求，比之於 2008 年 Python 3.0 剛釋出的那時期，在接受度上顯然提昇了不少。 最近一次在準備 Python Tutorial 課程時，也發現到 Django 的版本已推進至 1.9，一些特性與 Python Tutorial 中的 Django 1.5 已有所不同，而且可直接運行於 Python 3.4 之上，官方網站的 Django Tutorial，也改寫為使用 Python 3.4 了。 這種種的一切，讓我感覺到為 Python Tutorial 做改寫的必要性，而且是基於 Python 3.x 之上改寫，因此，新的系列會是命名為〈Python 3 Tutorial〉。 雖然先前的〈Python Tutorial〉是以六小時的課程為目標，然而，當時是以投影片在 PyCon Taiwan 2013 中實行，由於後來改寫為中文之後增加了不少內容，實際被邀請至各單位中進行生態之旅時，都是以 12 個小時完成課程為目標，因此，新的〈Python 3 Tutorial〉，架構上會與〈Python Tutorial〉類似，不過，預計將分為 12 堂課來進行，以反映實際實行過的課程內容。 然而，基本上課程的主旨不變： - 瞭解 Python 生態系（語言、工具、程式庫...） - 瞭解 Python 社群核心文化（撰碼風格、典範、文件、社群…） - Python 化（Pythonic） 可以看到，這次並沒有要建立與 PyCon Taiwan 的連結，而是以課程的角度來進行生態之旅，照例地，這個課程當然沒有時間鉅細靡遺地交代所有 Python 的細節，但會是個快速瞭解 Python 生態系的起點，讓你從這個起點開始，可以自行找到更多相關的資源。 因此，無論各單位是自行使用這份課程進行內部訓練，或者想接洽我來實現這門課程，請記得，這個課程不會讓學員上完後飛天鑽地，而是給予他們一個不錯的「起點」。
Author : Guido Rossum
Publisher : Createspace Independent Publishing Platform
Page : 158 pages
File Size : 49,8 Mb
Release : 2018-06-19
Category : Electronic
ISBN : 1721242163
Python is an easy to learn, powerful programming language. It has efficient high-level data structures and a simple but effective approach to object-oriented programming. Python's elegant syntax and dynamic typing, together with its interpreted nature, make it an ideal language for scripting and rapid application development in many areas on most platforms. The Python interpreter and the extensive standard library are freely available in source or binary form for all major platforms from the Python Web site, https: //www.python.org/, and may be freely distributed. The same site also contains distributions of and pointers to many free third party Python modules, programs and tools, and additional documentation. The Python interpreter is easily extended with new functions and data types implemented in C or C++ (or other languages callable from C). Python is also suitable as an extension language for customizable applications. This tutorial introduces the reader informally to the basic concepts and features of the python language and system. It helps to have a Python interpreter handy for hands-on experience, but all examples are self contained, so the tutorial can be read off-line as well. For a description of standard objects and modules, see library-index. reference-index gives a more formal definition of the language. To write extensions in C or C++, read extending-index and c-api-index. There are also several books covering Python in depth. This tutorial does not attempt to be comprehensive and cover every single feature, or even every commonly used feature. Instead, it introduces many of Python's most noteworthy features, and will give you a good idea of the language's flavor and style. After reading it, you will be able to read and write Python modules and programs, and you will be ready to learn more about the various Python library modules described in library-index. The Glossary is also worth going through.
Author : John M. Stewart
Publisher : Cambridge University Press
Page : 272 pages
File Size : 48,9 Mb
Release : 2017-07-20
Category : Computers
ISBN : 9781316641231
Scientific Python is taught from scratch in this book via copious, downloadable, useful and adaptable code snippets. Everything the working scientist needs to know is covered, quickly providing researchers and research students with the skills to start using Python effectively.
Author : RAMANA
Publisher : RAMANA
Page : 3830 pages
File Size : 41,7 Mb
Release : 2024-04-18
Category : Antiques & Collectibles
ISBN : 8210379456XXX
Here is a description for the book *"Python Mastery: A Complete Guide to Programming Excellence"*: Unlock your full potential as a programmer with *"Python Mastery: A Complete Guide to Programming Excellence"*. This comprehensive book is designed to guide you from the fundamentals of Python programming to advanced concepts and best practices. Through clear explanations and hands-on exercises, you'll gain a solid understanding of core topics such as data types, control structures, functions, and modules. Dive deeper into object-oriented programming, file handling, and libraries like NumPy and Pandas. Explore powerful techniques for debugging, testing, and optimizing your code. Whether you're a beginner or an experienced developer, this guide will help you achieve mastery in Python and elevate your programming skills to new heights.
Author : Taylor R. Brown
Publisher : CRC Press
Page : 267 pages
File Size : 53,7 Mb
Release : 2023-06-28
Category : Mathematics
ISBN : 9781000895988
An Introduction to R and Python for Data Analysis helps teach students to code in both R and Python simultaneously. As both R and Python can be used in similar manners, it is useful and efficient to learn both at the same time, helping lecturers and students to teach and learn more, save time, whilst reinforcing the shared concepts and differences of the systems. This tandem learning is highly useful for students, helping them to become literate in both languages, and develop skills which will be handy after their studies. This book presumes no prior experience with computing, and is intended to be used by students from a variety of backgrounds. The side-by-side formatting of this book helps introductory graduate students quickly grasp the basics of R and Python, with the exercises providing helping them to teach themselves the skills they will need upon the completion of their course, as employers now ask for competency in both R and Python. Teachers and lecturers will also find this book useful in their teaching, providing a singular work to help ensure their students are well trained in both computer languages. All data for exercises can be found here: https://github.com/tbrown122387/r_and_python_book/tree/master/data. Instructors can access the solutions manual via the book's website. Key features: - Teaches R and Python in a "side-by-side" way. - Examples are tailored to aspiring data scientists and statisticians, not software engineers. - Designed for introductory graduate students. - Does not assume any mathematical background.