Python programming |
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Python programming |
26.04.2021 - 14:52
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#21
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Активный пользователь Группа: Пользователи Пользователь №: 188190 Сообщений: 863 Регистрация: 11.01.2017 Из: Pakistan Загружено: байт Скачано: байт Коэффициент: --- Спасибо сказали: 409 раз(а) |
Williams, can you please upload to a different server
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26.04.2021 - 18:16
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#22
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Торговец чёрным деревом Группа: Админы Пользователь №: 3953 Сообщений: 21864 Регистрация: 1.08.2003 Из: Москва Загружено: байт Скачано: байт Коэффициент: --- Спасибо сказали: 55929 раз(а) |
ioncube, only for you:
--- Report when you will download it. |
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27.04.2021 - 04:40
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#23
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Активный пользователь Группа: Пользователи Пользователь №: 188190 Сообщений: 863 Регистрация: 11.01.2017 Из: Pakistan Загружено: байт Скачано: байт Коэффициент: --- Спасибо сказали: 409 раз(а) |
Williams, Thanks downloaded successfully
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9.07.2021 - 21:59
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#24
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Торговец чёрным деревом Группа: Админы Пользователь №: 3953 Сообщений: 21864 Регистрация: 1.08.2003 Из: Москва Загружено: байт Скачано: байт Коэффициент: --- Спасибо сказали: 55929 раз(а) |
Eric Pimpler - Programming ArcGIS Pro with Python, 2nd Edition + Exercise Data
Eric Pimpler, 2021 pdf, 263 pages, english Eric Pimpler is the founder and owner of Geospatial Training Services (geospatialtraining.com) and have over 25 years of experience implementing and teaching GIS solutions using Esri software. Currently he focuses on ArcGIS Pro and Desktop scripting with Python and the development of custom ArcGIS Enterprise (Server) and ArcGIS Online web and mobile applications with JavaScript. You’ll learn the basic constructs of this powerful, easy to learn language for automating your ArcGIS Pro geoprocessing tasks. You’ll also learn how to install, configure, and write scripts using the popular PyCharm development environment. We’ll then dive into the details of the ArcGIS Pro arcpy module by learning how to execute geoprocessing tools from your scripts. From there you’ll learn how to manage project and layer files, and manage the data within those files. You’ll discover how to programmatically add, insert, remove, and move layers in table of contents. Next, you’ll learn how to apply symbology and update properties of layers, work with 2D and 3D display properties, and manage layouts. You’ll also learn how to automate map production through the use of map series functionality, formerly called map books. The later part of the books covers attribute and spatial queries, and the creation of selection sets for feature classes and tables along with the arcpy data access module for insert, updating, and deleting data from feature classes and tables. Finally, we’ll close the book by discovering how you can create your own custom geoprocessing tools using custom toolboxes with ArcGIS Pro and Python. link. 393 Mb (RAR5, incl. 3% - info for restoration purpose) |
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11.08.2021 - 11:16
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#25
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Торговец чёрным деревом Группа: Админы Пользователь №: 3953 Сообщений: 21864 Регистрация: 1.08.2003 Из: Москва Загружено: байт Скачано: байт Коэффициент: --- Спасибо сказали: 55929 раз(а) |
Opaleke Olaide - Learning Python Language Made Easy
Become a fullstack Developer irrespective of gender Tutorials Point, 2021 pdf + epub, 1002 pages, english The world has gotten to the tech age in which everyone irrespective of gender must have a tech skill. Python Programming language is the only language that is having a wide number of usage, it's used in ethical hacking, website development, mobile app development etc. Having this book with you will broaden your horizon as much as you're dedicated and ready to practice. Programming is a skill you can learn and earn passive income at the end of your training. https://www.upload.ee/files/13383852/Learning.Python.Language.Made.Easy.rar.html |
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14.01.2023 - 00:35
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#26
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Торговец чёрным деревом Группа: Админы Пользователь №: 3953 Сообщений: 21864 Регистрация: 1.08.2003 Из: Москва Загружено: байт Скачано: байт Коэффициент: --- Спасибо сказали: 55929 раз(а) |
Johnny Wei-Bing Lin - An Introduction to Python Programming for Scientists and Engineers
Cambridge University Press, 2022 pdf, 768 pages, english ISBN 978-1-108-70112-9 Python is one of the most popular programming languages, widely used for data analysis and modelling, and is fast becoming the leading choice for scientists and engineers. Unlike other textbooks introducing Python, typically organised by language syntax, this book uses many examples from across Biology, Chemistry, Physics, Earth science, and Engineering to teach and motivate students in science and engineering. The text is organised by the tasks and workflows students undertake day-to-day, helping them see the connections between programming tools and their disciplines. The pace of study is carefully developed for complete beginners, and a spiral pedagogy is used so concepts are introduced across multiple chapters, allowing readers to engage with topics more than once. “Try This!” exercises and online Jupyter notebooks encourage students to test their new knowledge, and further develop their programming skills. Online solutions are available for instructors, alongside discipline-specific homework problems across the sciences and engineering. https://www.upload.ee/files/14829613/An_Introduction_to_Python_Programming_for_Scientists_and_Engineers.rar.html |
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16.01.2023 - 12:47
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#27
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Торговец чёрным деревом Группа: Админы Пользователь №: 3953 Сообщений: 21864 Регистрация: 1.08.2003 Из: Москва Загружено: байт Скачано: байт Коэффициент: --- Спасибо сказали: 55929 раз(а) |
Rituraj Dixit - Data Analysis with Python: Introducing NumPy, Pandas, Matplotlib, and Essential Elements of Python Programming
BPB Publications, 2023 epub, 276 pages, english ISBN 978-9355510655 An Absolute Beginner’s Guide to Learning Data Analysis Using Python, a Demanding Skill for Today Key Features ● Hands-on learning experience of Python's fundamentals. ● Covers various examples of how to code end-to-end data analysis with easy illustrations. ● An excellent starting point to begin your data analysis journey with Python programming. Description In an effort to provide content for beginners, the book ‘Data Analysis with Python’ provides a concrete first step in learning data analysis. Written by a data professional with decades of experience, this book provides a solid foundation in data analysis and numerous data science processes. In doing so, readers become familiar with common Python libraries and straightforward scripting techniques. Python and many of its well-known data analysis libraries, such as Pandas, NumPy, and Matplotlib, are utilized throughout this book to carry out various operations typical of data analysis projects. Following an introduction to Python programming fundamentals, the book combines well-known numerical calculation and statistical libraries to demonstrate the fundamentals of programming, accompanied by many practical examples. This book provides a solid groundwork for data analysis by teaching Python programming as well as Python's built-in data analysis capabilities. What you will learn ● Learn the fundamentals of core Python programming for data analysis. ● Master Python's most demanding data analysis and visualization libraries, including Pandas, NumPy, and Matplotlib. ● Refresh your step-by-step data analysis process with live examples. ● Extend your expertise to include real-time data analysis and the creation of simple Python scripts. ● Work with external files such as Excel, CSV, and others to clean them up for further analysis. Who this book is for This book is intended to help and teach college students and data professionals about Python's data analysis capabilities while also allowing them to work with Python tools. Before diving into this book, working knowledge of Python is a definite plus. Table of Contents 1. Introducing Python 2. Environment Setup for Development 3. Operators and Built-in Data Types 4. Conditional Expressions in Python 5. Loops in Python 6. Functions and Modules in Python 7. Working with Files I/O in Python 8. Introducing Data Analysis 9. Introducing Pandas 10. Introduction to NumPy 11. Introduction to Matplotlib 12. Connecting Dots Step by step Data Analysis Hands-on Use Case https://www.upload.ee/files/14837548/_with_Python_Introducing_NumPy__Pandas__Matplotlib__and_Essential_Elements_of_Py thon_Programming.rar.html |
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16.01.2023 - 20:54
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#28
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Прохожий Группа: Пользователи Пользователь №: 186140 Сообщений: 41 Регистрация: 1.10.2016 Загружено: байт Скачано: байт Коэффициент: --- Спасибо сказали: 10 раз(а) |
Rituraj Dixit - Data Analysis with Python: Introducing NumPy, Pandas, Matplotlib, and Essential Elements of Python Programming BPB Publications, 2023 epub, 276 pages, english ISBN 978-9355510655 An Absolute Beginner’s Guide to Learning Data Analysis Using Python, a Demanding Skill for Today Key Features ● Hands-on learning experience of Python's fundamentals. ● Covers various examples of how to code end-to-end data analysis with easy illustrations. ● An excellent starting point to begin your data analysis journey with Python programming. Description In an effort to provide content for beginners, the book ‘Data Analysis with Python’ provides a concrete first step in learning data analysis. Written by a data professional with decades of experience, this book provides a solid foundation in data analysis and numerous data science processes. In doing so, readers become familiar with common Python libraries and straightforward scripting techniques. Python and many of its well-known data analysis libraries, such as Pandas, NumPy, and Matplotlib, are utilized throughout this book to carry out various operations typical of data analysis projects. Following an introduction to Python programming fundamentals, the book combines well-known numerical calculation and statistical libraries to demonstrate the fundamentals of programming, accompanied by many practical examples. This book provides a solid groundwork for data analysis by teaching Python programming as well as Python's built-in data analysis capabilities. What you will learn ● Learn the fundamentals of core Python programming for data analysis. ● Master Python's most demanding data analysis and visualization libraries, including Pandas, NumPy, and Matplotlib. ● Refresh your step-by-step data analysis process with live examples. ● Extend your expertise to include real-time data analysis and the creation of simple Python scripts. ● Work with external files such as Excel, CSV, and others to clean them up for further analysis. Who this book is for This book is intended to help and teach college students and data professionals about Python's data analysis capabilities while also allowing them to work with Python tools. Before diving into this book, working knowledge of Python is a definite plus. Table of Contents 1. Introducing Python 2. Environment Setup for Development 3. Operators and Built-in Data Types 4. Conditional Expressions in Python 5. Loops in Python 6. Functions and Modules in Python 7. Working with Files I/O in Python 8. Introducing Data Analysis 9. Introducing Pandas 10. Introduction to NumPy 11. Introduction to Matplotlib 12. Connecting Dots Step by step Data Analysis Hands-on Use Case https://www.upload.ee/files/14837548/_with_Python_Introducing_NumPy__Pandas__Matplotlib__and_Essential_Elements_of_Py thon_Programming.rar.html The is no such file on the upload, it says. Can you please reupload. |
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17.01.2023 - 07:21
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#29
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Торговец чёрным деревом Группа: Админы Пользователь №: 3953 Сообщений: 21864 Регистрация: 1.08.2003 Из: Москва Загружено: байт Скачано: байт Коэффициент: --- Спасибо сказали: 55929 раз(а) |
Civil Engineer, everything is ok, link is valid, tested.
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17.01.2023 - 14:26
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#30
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Новичок Группа: Пользователи Пользователь №: 176582 Сообщений: 8 Регистрация: 30.03.2015 Загружено: байт Скачано: байт Коэффициент: --- Спасибо сказали: 0 раз(а) |
It didn't work for me too
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17.01.2023 - 20:09
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#31
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Живущий здесь Группа: Админы Пользователь №: 97235 Сообщений: 6684 Регистрация: 6.10.2008 Загружено: байт Скачано: байт Коэффициент: --- Спасибо сказали: 7677 раз(а) |
Приватный текст
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17.01.2023 - 21:07
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#32
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Прохожий Группа: Пользователи Пользователь №: 186140 Сообщений: 41 Регистрация: 1.10.2016 Загружено: байт Скачано: байт Коэффициент: --- Спасибо сказали: 10 раз(а) |
i rechecked. link does open, but on the page there is no link for downloading file. anyways here is the link:
>>http://62.182.86.140/main/3368000/a30f8709a072b1e9953112c81864cb8b/Rituraj%20Dixit%20-%20Data%20Analysis%20with%20Python_%20Introducing%20NumPy%2C%20Pandas%2C%20Matplotlib%2C%20and%20Essential%20Elements%20of%20Python%20Programming-BPB%20Publications%20%282022%29.epub |
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17.01.2023 - 22:53
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#33
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Живущий здесь Группа: Админы Пользователь №: 97235 Сообщений: 6684 Регистрация: 6.10.2008 Загружено: байт Скачано: байт Коэффициент: --- Спасибо сказали: 7677 раз(а) |
Civil Engineer,
Приватный текст
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18.01.2023 - 02:01
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#34
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Завсегдатай Группа: Пользователи Пользователь №: 56988 Сообщений: 280 Регистрация: 27.03.2007 Загружено: байт Скачано: байт Коэффициент: --- Спасибо сказали: 231 раз(а) |
all links are working fine... donwload now all files...
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24.01.2023 - 07:57
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#35
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Торговец чёрным деревом Группа: Админы Пользователь №: 3953 Сообщений: 21864 Регистрация: 1.08.2003 Из: Москва Загружено: байт Скачано: байт Коэффициент: --- Спасибо сказали: 55929 раз(а) |
Dr. Yong Cui - Python How-To (MEAP v10)
Manning Publications, 2023 pdf, 654 pages, english ISBN 9781617299742 Have you ever asked yourself, “How do I do that in Python?” If so, you’ll love this practical collection of the most important Python techniques. Python How-To includes over 60 detailed answers to questions like How do I join and split strings? How do I access dictionary keys, values, and items? How do I set and use the return value in function calls? How do I process JSON data? How do I create lazy attributes to improve performance? How do I change variables in a different namespace? …and much more Python How-To walks you through the most important coding techniques in Python. Whether you’re doing data science, building web applications, or writing admin scripts, you’ll find answers to your “how-to” questions in this book. Author Yong Cui’s clear and practical writing is perfect for beginners and veterans alike, with insightful code snippets, interesting graphics, and challenging exercises. Along the way, you’ll learn how to take advantage of Python’s versatile tools and libraries. No matter where you are on your Python journey, you’re going to run into situations where you ask “How do I do that?” This book gives you concrete answers to the most common questions in areas like manipulating text, working with collections, managing objects and functions, file management, and so on. As one of the most popular languages, Python is the choice of language for many first-time coding learners. Its open-source, general-purpose, platform-independent nature has engendered probably the most active developer community, which has resulted in tens of thousands of freely available libraries for web development, Machine Learning (ML), Data Science, and many other specialties. No matter whether you just started with coding in Python or programming in general, I hope that we share the same belief: we’ve entered an era in which knowing to code in Python gives you a tremendous advantage — you’re having access to numerous tools that Python has to offer. As you may realize, Python is so versatile that it has a plethora of tools for many specialty domains, such as finance, engineering, Data Science, and Artificial Intelligence. If you're entering or about to enter one of these domains, knowing Python will make your work much easier because of the access to these handy tools. However, using these tools requires you have a solid understanding of the essential Python skills, which are this book's focus — teaching you domain-independent Python knowledge. No matter how sophisticated your domain-specific Python tool is, it won't take long for you to figure it out! In the Python ecosystem, we use domain-specific Python tools, such as web frameworks and ML libraries, to address specific tasks in our jobs. The effective employment of these tools is nontrivial, as it requires a considerable breadth of familiarity with essential Python skills, such as processing texts, dealing with structured data, creating control flows, and handling files. Python programmers can write different solutions to address the same tasks. Among these solutions, one of them is probably better than the remaining, because it may be more concise, more readable, or more efficient, which we term as Pythonic — an idiomatic coding style that all Python programmers strive to acquire. It is what this book is about — how to write Pythonic code to address programming tasks. Python How-To is full of techniques and best practices for writing readable and maintainable Python code, with careful cross-referencing that reveals how the same concept can be used in different contexts. Each chapter stands alone, so you can dip in whenever you need a practical solution to a common Python problem. For beginning to intermediate Python programmers. https://turbobif.com/fe7o55n8rc4n.html Rob Reider, Alex Michalka - Build a Robo Advisor with Python (From Scratch) (MEAP V01) Manning Publications, 2023 pdf, 300 pages, english ISBN 9781633439672 Take control of your wealth management by building your own reliable, effective, and automated financial advisor tool. In Build a Robo Advisor with Python (From Scratch) you’ll learn how to: Measure returns and estimate the benefits of robo advisors Use Monte Carlo simulations to build and test financial planning tools Construct diversified, efficient portfolios using optimization and other advanced methods Implement and evaluate rebalancing methods to track a target portfolio over time Decrease taxes through tax-loss harvesting and optimized withdrawal sequencing Use reinforcement learning to find the optimal investment path up to, and after, retirement Every day automated digital advisors, also called robo advisors, make financial decisions worth millions of dollars. Build a Robo Advisor with Python (From Scratch): Automate your financial and investment decisions teaches you how to construct a Python-based financial advisor of your very own! You’ll develop a flexible tool that’s capable of managing a real investing strategy—all with popular free Python libraries. Automated “robo advisors” are commonplace in financial services, thanks to their ability to give high-quality investment advice at a fraction of the cost of human advisors. Your own robo advisor will be a real asset for your financial planning, whether you’re saving for retirement, creating a diversified portfolio, or trying to ensure your tax efficiency. In Build a Robo Advisor with Python (From Scratch), you’ll design and develop a working financial advisor that can manage a real investing strategy. You’ll add new features to your advisor chapter-by-chapter, including determining the optimal weight of cryptocurrency in your portfolio, rebalancing to keep your investments on target while minimizing taxes, and using reinforcement learning to find a “glide path” that can maximize how long your money will last in retirement. Best of all, the skills you learn in reinforcement learning, convex optimization, and Monte Carlo methods can be applied to numerous lucrative fields beyond the domain of finance. https://www.upload.ee/files/14863009/Build_a_Robo_Advisor_with_Python__From_Scratch__MEAP_V01.rar.html |
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6.02.2023 - 13:48
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#36
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Торговец чёрным деревом Группа: Админы Пользователь №: 3953 Сообщений: 21864 Регистрация: 1.08.2003 Из: Москва Загружено: байт Скачано: байт Коэффициент: --- Спасибо сказали: 55929 раз(а) |
Пол Орланд: Математические алгоритмы для программистов. 3D-графика, машинное обучение и моделирование на Python
Питер, 2023 pdf, 752 pages, russian ISBN 978-5-4461-2287-5 Неважно, чем вы занимаетесь - большими данными, машинным обучением, компьютерной графикой или криптографией - без математики вам не обойтись! Везде сейчас требуются базовые знания и понимание алгоритмов. Практические примеры позволят легко разобраться с самыми необходимыми математическими понятиями. 300 упражнений и мини-проектов откроют вам новые возможности в освоении интересных и популярных IT-профессий. Вы познакомитесь с базовыми библиотеками Python, используемыми при разработке реальных приложений, и вспомните давно забытые основы линейной алгебры и матана. https://www.upload.ee/files/14895802/Math.7z.html » Click to show Spoiler - click again to hide... «
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6.02.2023 - 17:17
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#37
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Свой человек Группа: Пользователи Пользователь №: 102276 Сообщений: 531 Регистрация: 8.12.2008 Загружено: байт Скачано: байт Коэффициент: --- Спасибо сказали: 1396 раз(а) |
"i rechecked. link does open, but on the page there is no link for downloading file. anyways here is the link:"
Check default download folder, it seems to me 'epub' file is automatically downloaded there |
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11.02.2023 - 23:08
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#38
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Прохожий Группа: Пользователи Пользователь №: 186140 Сообщений: 41 Регистрация: 1.10.2016 Загружено: байт Скачано: байт Коэффициент: --- Спасибо сказали: 10 раз(а) |
I spotted the mistake. Actually when i copy pasted given link in browser it added "%20" in the link, thats why the site responded as no file. i manually deleted "%20" and it worked fine.
this was wrong one >>https://www.upload.ee/files/14837548/_with_Python_Introducing_NumPy__Pandas__Matplotlib__and_Essential_Elements_of_Py%20 thon_Programming.rar.html this one after correction https://www.upload.ee/files/14837548/_with_Python_Introducing_NumPy__Pandas__Matplotlib__and_Essential_Elements_of_Py thon_Programming.rar.html |
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20.02.2023 - 14:38
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#39
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Торговец чёрным деревом Группа: Админы Пользователь №: 3953 Сообщений: 21864 Регистрация: 1.08.2003 Из: Москва Загружено: байт Скачано: байт Коэффициент: --- Спасибо сказали: 55929 раз(а) |
David S. Jordan - Applied Geospatial Data Science with Python
Packt, 2023 pdf, 308 pages, english ISBN 9781803238128 Data scientists, when presented with a myriad of data, can often lose sight of how to present geospatial analyses in a meaningful way so that it makes sense to everyone. Using Python to visualize data helps stakeholders in less technical roles to understand the problem and seek solutions. The goal of this book is to help data scientists and GIS professionals learn and implement geospatial data science workflows using Python. Throughout this book, you'll uncover numerous geospatial Python libraries with which you can develop end-to-end spatial data science workflows. You'll learn how to read, process, and manipulate spatial data effectively. With data in hand, you'll move on to crafting spatial data visualizations to better understand and tell the story of your data through static and dynamic mapping applications. As you progress through the book, you'll find yourself developing geospatial AI and ML models focused on clustering, regression, and optimization. The use cases can be leveraged as building blocks for more advanced work in a variety of industries. By the end of the book, you'll be able to tackle random data, find meaningful correlations, and make geospatial data models. https://www.upload.ee/files/14946019/it9444.7z.html » Click to show Spoiler - click again to hide... «
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24.02.2023 - 13:08
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#40
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Торговец чёрным деревом Группа: Админы Пользователь №: 3953 Сообщений: 21864 Регистрация: 1.08.2003 Из: Москва Загружено: байт Скачано: байт Коэффициент: --- Спасибо сказали: 55929 раз(а) |
Quan Nguyen - Advanced Python Programming, 2nd Edition
Packt, 2023 pdf, 606 pages, english ISBN 9781801814010 Python's powerful capabilities for implementing robust and efficient programs make it one of the most sought-after programming languages. In this book, you'll explore the tools that allow you to improve performance and take your Python programs to the next level. This book starts by examining the built-in as well as external libraries that streamline tasks in the development cycle, such as benchmarking, profiling, and optimizing. You'll then get to grips with using specialized tools such as dedicated libraries and compilers to increase your performance at number-crunching tasks, including training machine learning models. The book covers concurrency, a major solution to making programs more efficient and scalable, and various concurrent programming techniques such as multithreading, multiprocessing, and asynchronous programming. You'll also understand the common problems that cause undesirable behavior in concurrent programs. Finally, you'll work with a wide range of design patterns, including creational, structural, and behavioral patterns that enable you to tackle complex design and architecture challenges, making your programs more robust and maintainable. By the end of the book, you'll be exposed to a wide range of advanced functionalities in Python and be equipped with the practical knowledge needed to apply them to your use cases. What you will learn - Write efficient numerical code with NumPy, pandas, and Xarray - Use Cython and Numba to achieve native performance - Find bottlenecks in your Python code using profilers - Optimize your machine learning models with JAX - Implement multithreaded, multiprocessing, and asynchronous programs - Solve common problems in concurrent programming, such as deadlocks - Tackle architecture challenges with design patterns https://www.upload.ee/files/14962769/it9465.7z.html » Click to show Spoiler - click again to hide... «
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Текстовая версия | Сейчас: 27.04.2024 - 19:40 |