Books [Behnam Khani] Learn Python Fast Deep Simple
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Books [David Mertz] Picking a Python Version: A Manifesto
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ОПИСАНИЕ:
This report guides you through the implicit decision tree of choosing what Python version, implementation, and distribution is best suited for you.
There are two major versions of the Python programming language: the Python 2.x series, and the newer Python 3.x series. The Python 3.x series started with the release of Python 3.0 in December 2008; since that time, Python 2.7 was released and has continued to receive point version releases, with Python 2.7.9 being the latest version as of this writing. As a footnote, there was, naturally, a Python 1.x series that was highly successful in the 1990s, but that series has long been...
Books [James McCaffrey] SciPy Programming Succinctly
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ОПИСАНИЕ:
This book offers readers a quick, thorough grounding in knowledge of the Python open source extension SciPy. The SciPy library, accompanied by its interdependent NumPy, offers Python programmers advanced functions that work with arrays and matrices.
Each section presents a complete demo program for programmers to experiment with, carefully chosen examples to best illustrate each function, and resources for further learning. Use this e-book to install and edit SciPy, and use arrays, matrices, and combinatorics in Python programming.
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Books [Bernd Klein] Data Analysis
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Books [Nicolas P. Rougier] Scientific Visualisation: Python and Matplotlib
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ОПИСАНИЕ:
The Python scientific visualisation landscape is huge. It is composed of a myriad of tools, ranging from the most versatile and widely used down to the more specialised and confidential. Some of these tools are community based while others are developed by companies. Some are made specifically for the web, others are for the desktop only, some deal with 3D and large data, while others target flawless 2D rendering. In this landscape, Matplotlib has a very special place. It is a versatile and powerful library that allows you to design very high quality figures, suitable for scientific publishing. It also offers a simple and intuitive...
Books [Stan Blank] Python Programming in OpenGL
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Books [Nicolas P. Rougier] Python and OpenGL for Scientific Visualization
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Books [Joakim Sundnes] Solving Ordinary Differential Equations in Python
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ОПИСАНИЕ:
This open access book explains the foundations of modern solvers for ordinary differential equations (ODEs). Explicit and implicit methods are motivated and explained, as well as methods for error control and automatic time step selection, and all the solvers are implemented as a class hierarchy in Python.
This book is open access under a CC BY license.
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Books [Richard Smith] Coding Games With Pygame Zero and Python
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ОПИСАНИЕ:
This book contains all the example programs used in my CoderDojo class to teach Python programming. The primary goal of the class is to teach pro- gramming using action games used to make learning more interesting. Some of the examples are entirely focused on introducing new language concepts or showing how the Pygame Zero API works, but most are a mixture of both.
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Books [Mattmann A. Chris] Machine Learning with TensorFlow, 2nd Edition
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ОПИСАНИЕ:
Updated with new code, new projects, and new chapters, Machine Learning with TensorFlow, Second Edition gives readers a solid foundation in machine-learning concepts and the TensorFlow library.
Summary
Updated with new code, new projects, and new chapters, Machine Learning with TensorFlow, Second Edition gives readers a solid foundation in machine-learning concepts and the TensorFlow library. Written by NASA JPL Deputy CTO and Principal Data Scientist Chris Mattmann, all examples are accompanied by downloadable Jupyter Notebooks for a hands-on experience coding TensorFlow with Python. New and revised content expands coverage of core...
Books [Joos Korstanje] Machine Learning on Geographical Data Using Python: Introduction into Geodata with Applications and Use Cases
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ОПИСАНИЕ:
Get up and running with the basics of geographic information systems (GIS), geospatial analysis, and machine learning on spatial data in Python. This book starts with an introduction to geodata and covers topics such as GIS and common tools, standard formats of geographical data, and an overview of Python tools for geodata. Specifics and difficulties one may encounter when using geographical data are discussed: from coordinate systems and map projections to different geodata formats and types such as points, lines, polygons, and rasters. Analytics operations typically applied to geodata are explained such as clipping, intersecting...
Books [Sergio Rey, Dani Arribas-Bel, Levi John Wolf] Geographic Data Science with Python
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ОПИСАНИЕ:
This book provides the tools, the methods, and the theory to meet the challenges of contemporary data science applied to geographic problems and data. In the new world of pervasive, large, frequent, and rapid data, there are new opportunities to understand and analyze the role of geography in everyday life. Geographic Data Science with Python introduces a new way of thinking about analysis, by using geographical and computational reasoning, it shows the reader how to unlock new insights hidden within data.
Key Features:
● Showcases the excellent data science environment in Python.
● Provides examples for readers to replicate...
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
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За паблик и облако не берусь.
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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
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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
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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...
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