Books [automating] Introduction to Python GIS
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Books [Henrikki Tenkanen, Vuokko Heikinheimo, David Whipp] Introduction to Python for Geographic Data Analysis
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ОПИСАНИЕ:
This book introduces the basics of Python programming and geographic data analysis for all “geo-minded” people (geographers, geologists and others using spatial data). You'll learn how to apply Python GIS geospatial processes to a variety of problems, and work with remote sensing data.
About the Authors
- Henrikki Tenkanen is an Assistant Professor of Geoinformation Technology at the Department of Built Environment, Aalto University (Finland).
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Books [Marc Lichtman] PySDR: A Guide to SDR and DSP using Python
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ОПИСАНИЕ:
This textbook acts as a hands-on introduction to the areas of Digital Signal Processing (DSP), Software-Defined Radio (SDR), and wireless communications. Think of this textbook like a gateway into the world of DSP and SDR.
About the Authors
- Dr. Marc Lichtman is a wireless communications researcher who specializes in SDR, machine learning, LTE/5G-NR, and spectrum sensing. He is an Adjunct Professor at the University of Maryland, where he created and taught a course that served as the basis of this textbook.
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Books [John Hunt] Advanced Guide to Python 3 Programming
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ОПИСАНИЕ:
Advanced Guide to Python 3 Programming 2nd Edition delves deeply into a host of subjects that you need to understand if you are to develop sophisticated real-world programs. Each topic is preceded by an introduction followed by more advanced topics, along with numerous examples, that take you to an advanced level.
This second edition has been significantly updated with two new sections on advanced Python language concepts and data analytics and machine learning. The GUI chapters have been rewritten to use the Tkinter UI library and a chapter on performance monitoring and profiling has been added. In total there are 18 new chapters, and...
Books [Flavio Copes] The Python Handbook
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Криптовалюта Массовый подбор паролей к кошелькам Exodus
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Подберу пароли к кошелькам Exodus, Metamask, беру от 10+логов
Беру индивидуальные кошельки с балансом под брут (обычно с логов), все логи с неизвестными паролями, приблизительный баланс не важен.
За паблик и облако не берусь.
Схема отработки:
получение всех идентификаторов кошельков
автоматический анализ аккаунта, генерация уникальной БД возможных паролей, до 400 гб. на 1 аккаунт
подбор пароля со скоростью 5 млн. / сек. на собственном оборудовании (4х 32 х RTX 3080)
Все ПО - авторское, разрабатываемое с 2018-го года, абсолютный процент подбора - 88.3 %.
Если баланс подобранных в сумме менее 100 $ - отдается полностью. Если более - 50/50. Проверяются все возможные валюты.
Использую антипаблик.
В результате...
Беру индивидуальные кошельки с балансом под брут (обычно с логов), все логи с неизвестными паролями, приблизительный баланс не важен.
За паблик и облако не берусь.
Схема отработки:
получение всех идентификаторов кошельков
автоматический анализ аккаунта, генерация уникальной БД возможных паролей, до 400 гб. на 1 аккаунт
подбор пароля со скоростью 5 млн. / сек. на собственном оборудовании (4х 32 х RTX 3080)
Все ПО - авторское, разрабатываемое с 2018-го года, абсолютный процент подбора - 88.3 %.
Если баланс подобранных в сумме менее 100 $ - отдается полностью. Если более - 50/50. Проверяются все возможные валюты.
Использую антипаблик.
В результате...
Books [Jay Gopalakrishnan] Lectures on Mathematical Computing with Python
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ОПИСАНИЕ:
This book is an introduction to mathematical computing including:
- Jupyter notebooks, markdown and LaTex
- Basic Python programming: datatypes, variables, logic, loops and functions
- Scientific computing with NumPy, SciPy and Matplotlib
- Applications in calculus, linear algebra and differential equations
СКАЧАТЬ:
Books [Patrick Walls, Jay Gopalakrishnan] Mathematical Python
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ОПИСАНИЕ:
This book is an introduction to mathematical computing including:
- Jupyter notebooks, markdown and LaTex
- Basic Python programming: datatypes, variables, logic, loops and functions
- Scientific computing with NumPy, SciPy and Matplotlib
- Applications in calculus, linear algebra and differential equations
СКАЧАТЬ:
Books [Mirko Stojiljković] Linear Regression in Python
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ОПИСАНИЕ:
You’re living in an era of large amounts of data, powerful computers, and artificial intelligence. This is just the beginning. Data science and machine learning are driving image recognition, development of autonomous vehicles, decisions in the financial and energy sectors, advances in medicine, the rise of social networks, and more. Linear regression is an important part of this. Linear regression is one of the fundamental statistical and machine learning techniques. Whether you want to do statistics, machine learning, or scientific computing, there’s a good chance that you’ll need it. It’s best to build a solid foundation first and...
Books [Eric Marsden] Regression Analysis using Python
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Books [Svein Linge, Hans Petter Langtangen] Programming for Computations - Python: Numerical Simulations with Python 3.6
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ОПИСАНИЕ:
This book presents computer programming as a key method for solving mathematical problems. There are two versions of the book, one for MATLAB and one for Python. The book was inspired by the Springer book TCSE 6: A Primer on Scientific Programming with Python (by Langtangen), but the style is more accessible and concise, in keeping with the needs of engineering students.
The book outlines the shortest possible path from no previous experience with programming to a set of skills that allows the students to write simple programs for solving common mathematical problems with numerical methods in engineering and science courses. The...
Books [Natasha Samoylenko] Python for Network Engineers
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Books [Gareth James, Daniela Witten, Trevor Hastie, Robert Tibshirani] Introduction to Statistical Learning: With Applications in R
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ОПИСАНИЕ:
An Introduction to Statistical Learning provides an accessible overview of the field of statistical learning, an essential toolset for making sense of the vast and complex data sets that have emerged in fields ranging from biology to finance to marketing to astrophysics in the past twenty years. This book presents some of the most important modeling and prediction techniques, along with relevant applications. Topics include linear regression, classification, resampling methods, shrinkage approaches, tree-based methods, support vector machines, clustering, and more. Color graphics and real-world examples are used to illustrate the...
Books [Gareth James, Daniela Witten, Trevor Hastie, Robert Tibshirani] An Introduction to Statistical Learning: with Applications in Python
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ОПИСАНИЕ:
This book provides an accessible overview of the field of Statistical Learning, an essential toolset for making sense of the vast and complex data sets that have emerged in fields ranging from biology to finance to marketing to astrophysics in the past twenty years.
in recent years Python has become a popular language for data science, hence, this book (ISLP) covers the same materials as ISLR but with labs implemented in Python. These labs will be useful both for Python novices, as well as experienced users.
About the Authors
Gareth James is the E. Morgan Stanley Chair in Business Administration and a professor of data sciences...
Books [Al Sweigart] Python Programming Exercises, Gently Explained
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ОПИСАНИЕ:
Many books and websites have aggressive programming challenges for top coders. However, this book is for the rest of us. We want challenges that improve our coding skills, not leave us confused and discouraged. Other tutorials and books have taught you the basics of Python, but the 42 programming exercises in this book let you practice what you've learned. Selected for their simplicity, these programming problems include gentle explanations of the problem, the prerequisite coding concepts you’ll need to understand the solution, and helpful templates to put together the programs if you have trouble starting from scratch.
This is the...
Books [Laura Cassell, Alan Gauld] Python Projects
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ОПИСАНИЕ:
A guide to completing Python projects for those ready to take their skills to the next level
Python Projects is the ultimate resource for the Python programmer with basic skills who is ready to move beyond tutorials and start building projects.
The preeminent guide to bridge the gap between learning and doing, this book walks readers through the "where" and "how" of real-world Python programming with practical, actionable instruction. With a focus on real-world functionality, Python Projects details the ways that Python can be used to complete daily tasks and bring efficiency to businesses and individuals alike.
Python Projects is...
Books [Yasoob Khalid] Practical Python Projects
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Books [Al Sweigart] The Big Book of Small Python Projects: 81 Easy Practice Programs
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ОПИСАНИЕ:
Best-selling author Al Sweigart shows you how to easily build over 80 fun programs with minimal code and maximum creativity.
If you’ve mastered basic Python syntax and you’re ready to start writing programs, you’ll find The Big Book of Small Python Projects both enlightening and fun. This collection of 81 Python projects will have you making digital art, games, animations, counting pro- grams, and more right away. Once you see how the code works, you’ll practice re-creating the programs and experiment by adding your own custom touches.
These simple, text-based programs are 256 lines of code or less. And whether it’s a vintage...
Books [Ritza] Learn Python the Right Way: How to Think like a Computer Scientist
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Books [William Lau] The Little Book of Algorithms
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Books [Richard L. Halterman] Fundamentals of Python Programming
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ОПИСАНИЕ:
This book focuses on introducing programming techniques and developing good habits. To that end, our approach avoids some of the more esoteric features of Python and concentrates on the programming basics that transfer directly to other imperative programming languages.
Its easygoing approach is ideal, no matter what your background. The approach starts with simple algorithmic code and then scales into working with functions, objects, and classes as the problems become more complex and require new abstraction mechanisms.
Rather than working only with numeric or text-based applications like other introductory texts, this edition...
Books [Obi Ike-Nwosu] Inside The Python Virtual Machine
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ОПИСАНИЕ:
You know how to program in Python but are interested in what goes on under the covers of the interpreter? Well, fasten your seat-belts as this book will take you on a tour of the virtual machine that runs your Python code.
It will describe how Python code is compiled and run, how the language itself can be modified and will demystify the mysterious bytecodes that run on the Python virtual machine.
About the Authors:
- Obi has more than five years of experience using Python. His interests include but are not limited to algorithms, mathematics, computer security, writing, developmental economics, business and problem solving...
Books [Tomas Beuzen, Tiffany Timbers] Python Packages
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ОПИСАНИЕ:
Python Packages introduces Python packaging at an introductory and practical level that’s suitable for those with no previous packaging experience. Despite this, the text builds up to advanced topics such as automated testing, creating documentation, versioning and updating a package, and implementing continuous integration and deployment. Covering the entire Python packaging life cycle, this essential guide takes readers from package creation all the way to effective maintenance and updating.
Python Packages focuses on the use of current and best-practice packaging tools and services like poetry, cookiecutter, pytest, sphinx, GitHub...
Books [Bernd Klein] Machine Learning with Python Tutorial
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ОПИСАНИЕ:
Unlock the Power of Machine Learning with Python
Are you ready to take your data analysis skills to the next level? Look no further than this comprehensive guide to Machine Learning with Python.
In this tutorial, you will learn everything you need to know to become an expert in Machine Learning with Python, from the basics of data analysis to advanced techniques like deep learning and neural networks. With step-by-step instructions and real-world examples, this tutorial is perfect for both beginners and experienced programmers alike.
Discover how to build and train predictive models, analyze large datasets, and automate complex tasks...
Books [Wes McKinney] Python for Data Analysis: Data Wrangling with pandas, NumPy, and Jupyter
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ОПИСАНИЕ:
Get complete instructions for manipulating, processing, cleaning, and crunching datasets in Python. Updated for Python 3.6, the second edition of this hands-on guide is packed with practical case studies that show you how to solve a broad set of data analysis problems effectively. You’ll learn the latest versions of pandas, NumPy, IPython, and Jupiter in the process.
Written by Wes McKinney, the creator of the Python pandas project, this book is a practical, modern introduction to data science tools in Python. It’s ideal for analysts new to Python and for Python programmers new to data science and scientific computing. Data files and...
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