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  • Добавил: umkaS
  • Дата: 14-07-2023, 17:48
  • Комментариев: 1
Название: Программирование на Python для хакеров
Автор: Д. Сейтц
Издательство: Russian Underground
Год: 2012
Формат: pdf/djvu
Страниц: 208
Размер: 13 Мб
Язык: Русский

Я изучил Python конкретно для хакинга — и я осмелюсь сказать, что это утверждение правдиво для многих других так же. Я провел достаточно много времени в изучении языка, который хорошо приспособлен для хакинга и реверс инженерии, и несколько лет назад стало весьма очевидно, что Python становится настоящим лидером среди языков ориентированных на хакинг.
  • Добавил: literator
  • Дата: 14-07-2023, 16:47
  • Комментариев: 0
Название: Machine Learning For Concrete Compressive Strength Analysis And Prediction With Python, Second Edition
Автор: Vivian Siahaan, Rismon Sianipar
Издательство: Balige Publishing
Год: July 2023
Страниц: 245
Язык: английский
Формат: epub (true)
Размер: 19.7 MB

Welcome to "Machine Learning for Concrete Compressive Strength Analysis and Prediction with Python." In this book, we will explore the fascinating field of applying machine learning techniques to analyze and predict the compressive strength of concrete. First, we will dive into the dataset, which includes various features related to concrete mix proportions, age, and other influential factors. We will explore the dataset's structure, dimensions, and feature types, ensuring that we have a solid understanding of the data we are working with. Then, we will focus on data exploration and visualization. We will utilize histograms, box plots, and scatter plots to gain insights into the distribution of features and their relationships with the target variable, enabling us to uncover valuable patterns and trends within the dataset. Before delving into machine learning algorithms, we must preprocess the data. We will handle missing values, encode categorical variables, and scale numerical features to ensure that our data is in the optimal format for training and testing our models. Then, we will explore popular algorithms such as Linear Regression, Decision Trees, Random Forests, Support Vector, Naïve Bayes, K-Nearest Neighbors, Adaboost, Gradient Boosting, Extreme Gradient Boosting, Light Gradient Boosting, Catboost, and Multi-Layer Perceptron regression algorithms and use them to predict the concrete compressive strength accurately.
  • Добавил: literator
  • Дата: 14-07-2023, 15:39
  • Комментариев: 0
Название: Time-Series Weather: Forecasting And Prediction With Python
Автор: Vivian Siahaan, Rismon Sianipar
Издательство: Balige Publishing
Год: July 2023
Страниц: 246
Язык: английский
Формат: epub (true)
Размер: 15.8 MB

In this project, we embarked on a journey of exploring time-series weather data and performing forecasting and prediction using Python. The objective was to gain insights into the dataset, visualize feature distributions, analyze year-wise and month-wise patterns, apply ARIMA regression to forecast temperature, and utilize machine learning models to predict weather conditions. Let's delve into each step of the process. To begin, we started by exploring the dataset, which contained historical weather data. We examined the structure and content of the dataset to understand its variables, such as temperature, humidity, wind speed, and weather conditions. Understanding the dataset is crucial for effective analysis and modeling. Next, we visualized the distributions of different features. By creating histograms, box plots, and density plots, we gained insights into the range, central tendency, and variability of the variables. These visualizations allowed us to identify any outliers, skewed distributions, or patterns within the data. In conclusion, this project demonstrated the power of Python in time-series weather forecasting and prediction. Through data exploration, visualization, regression analysis, and Machine Learning modeling, we obtained valuable insights and accurate predictions regarding temperature and weather conditions. This knowledge can be applied in various domains such as agriculture, transportation, and urban planning, enabling better decision-making based on weather forecasts.
  • Добавил: literator
  • Дата: 14-07-2023, 14:19
  • Комментариев: 0
Название: Default Loan Prediction Based On Customer Behavior Using Machine Learning And Deep Learning With Python, Second Edition
Автор: Vivian Siahaan, Rismon Sianipar
Издательство: Balige Publishing
Год: July 2023
Страниц: 337
Язык: английский
Формат: epub (true)
Размер: 10.2 MB

In this project, we aim to predict the risk of defaulting on a loan based on customer behavior using Machine Learning and Deep Learning techniques. We start by exploring the dataset and understanding its structure and contents. The dataset contains various features related to customer behavior, such as credit history, income, employment status, loan amount, and more. We analyze the distribution of these features to gain insights into their characteristics and potential impact on loan default. Next, we preprocess the data by handling missing values, encoding categorical variables, and normalizing numerical features. This ensures that the data is in a suitable format for training Machine Learning models. After evaluating the performance of these Machine Learning models, we turn our attention to Deep Learning techniques. We design and train an Artificial Neural Network (ANN) to predict the risk flag for loan default. The ANN consists of multiple layers of interconnected neurons that learn hierarchical representations of the input features.
  • Добавил: Igor1977
  • Дата: 14-07-2023, 09:25
  • Комментариев: 0

Название: Python: большая книга примеров
Автор: Марченко А.Л.
Издательство: М.: Издательство Московского университета
Год: 2023
Формат: pdf
Страниц: 361
Размер: 12 mb
Язык: Русский

Большая книга примеров основывается на описании языка программирования Python и множества материалов из различных интернет-источников. Основное предназначение книги — формирование представления о языке на основе его описания и примеров его применения. Книга может быть использована в качестве учебного пособия.
  • Добавил: literator
  • Дата: 14-07-2023, 04:46
  • Комментариев: 0
Название: Learning Patterns: Patterns for building powerful web apps with vanilla jаvascript and React (2022 Update)
Автор: Lydia Hallie, Addy Osman
Издательство: Leanpub
Год: 2022-01-28
Страниц: 436
Язык: английский
Формат: pdf (true)
Размер: 97.4 MB

In this book, you will learn design patterns, performance and rendering patterns for building high-quality web applications using modern jаvascript and React. Patterns are time-tested templates for writing code. They can be really powerful, whether you're a seasoned developer or beginner, bringing a valuable level of resilience and flexibility to your codebase. Whether it's better user-experience, developer-experience or just smarter architecture, the patterns in “Learning Patterns” can be a valuable consideration for any modern web application. Design patterns are a fundamental part of software development, as they provide typical solutions to commonly recurring problems in software design. Rather than providing specific pieces of software, design patterns are merely concepts that can be used to handle recurring themes in an optimized way. Over the past couple of years, the web development ecosystem has changed rapidly. Whereas some well-known design patterns may simply not be as valuable as they used to be, others have evolved to solve modern problems with the latest technologies.
  • Добавил: literator
  • Дата: 14-07-2023, 03:47
  • Комментариев: 0
Название: Angular from Scratch: A friendly guide for absolute beginners
Автор: Ajdin Imsirovic
Издательство: Leanpub
Год: 2021-10-09
Язык: английский
Формат: pdf (true), epub
Размер: 10.2 MB

In this no-fluff book, we pick apart the building blocks of Angular in the first two chapters, giving you the skills to dive straight into building apps in Angular 2+. Every step is explained and each concept is covered so it's easy to understand what is happening and why. Complex. That's a one-word description of Angular for a beginner. If you're met with the framework for the first time, you likely need it for work. It's also likely that you're pressed for time, and can't afford the luxury of spending days and days researching, reading difficult documentation, or trying to wrap your head around many Angular concepts. Angular is a grouping of organized, pre-built code, that helps us build websites in a specific, streamlined manner. It’s a way to control the complexity of building a website - a tool we can wield to tame our web development processes. Of course, it’s not the only tool that we can use. There are many others, like: Vue, React, jQuery, Ember, Alpine.js, Svelte, etc. Angular is a mature and stable framework that offers a lot out-of-the-box. While the learning curve might be a bit steep, it offers great DX (developer experience) and a way to streamline your team’s work.
  • Добавил: literator
  • Дата: 14-07-2023, 01:53
  • Комментариев: 0
Название: Cost-Effective Data Pipelines: Balancing Trade-Offs When Developing Pipelines in the Cloud (Final Release)
Автор: Sev Leonard
Издательство: O’Reilly Media, Inc.
Год: 2023
Страниц: 286
Язык: английский
Формат: epub (true), mobi
Размер: 10.2 MB

The low cost of getting started with cloud services can easily evolve into a significant expense down the road. That's challenging for teams developing data pipelines, particularly when rapid changes in technology and workload require a constant cycle of redesign. How do you deliver scalable, highly available products while keeping costs in check? With this practical guide, author Sev Leonard provides a holistic approach to designing scalable data pipelines in the cloud. Intermediate data engineers, software developers, and architects will learn how to navigate cost/performance trade-offs and how to choose and configure compute and storage. You'll also pick up best practices for code development, testing, and monitoring. When working with Spark, the Spark UI provides additional diagnostic information regarding executor load, how well balanced (or not) your computation is across executors, shuffles, spill, and query plans, showing you how Spark is running your query. This information can help you tune Spark settings, data partitioning, and data transformation code.
  • Добавил: literator
  • Дата: 13-07-2023, 16:10
  • Комментариев: 0
Название: Learn Python with Jupyter
Автор: Serena Bonaretti
Издательство: Leanpub
Год: 2023-07-08
Страниц: 167
Язык: английский
Формат: pdf (true)
Размер: 10.1 MB

The aim of this book is to teach you coding in Python while developing computational thinking—that is, the way we think when coding. The order of topics is designed to stimulate and strengthen skills such as logic, problem solving, and clean code writing. Python syntax is explained extensively in a simple but precise way, focusing on concepts and vocabulary. Topics include data types (strings, lists, dictionaries, etc.), if/else constructs, for loops, while loops, functions, modules, and object‐oriented programming. Examples are embedded in narrative to provide context and encourage memorization, and they are enriched with suggestions for code pronunciation. The book includes thirty‐eight chapters, each corresponding to a Jupyter Notebook where you can play with the code explained in the text. Chapters contain both theoretical exercises, to verify the understanding of concepts, and coding exercises, to learn by doing. Exercise solutions are described in the community forum, where you can ask questions and propose alternative solutions. At the end of each chapter, you will find recaps and “in more depth” sections, with suggestions, tips, and curiosities. The book is written in a simple and colloquial language while being precise and detailed. The material of this book was tested and refined over more than a thousand hours of one‐on‐one teaching, with international students of various educational backgrounds.
  • Добавил: literator
  • Дата: 13-07-2023, 15:42
  • Комментариев: 0
Название: Prompt Genius: Generate Python Web Applications using AI
Автор: Darren Broemmer
Издательство: Leanpub
Год: 2023-06-12
Язык: английский
Формат: pdf (true), epub
Размер: 10.2 MB

Do you want to use AI to code 10x faster? Curious about how to use generative AI in your app? This book is your step-by-step guide. A collection of expertly crafted prompt templates aids in design and coding using ChatGPT, Bard, or Bing. They empower you to create applications, using AI to do the heavy lifting using Python and Django. Your new pair programmer is AI. This book demystifies how you can use this breakthrough technology today. Learn how to leverage ChatGPT, Google Bard, or Bing to streamline coding, debugging, and testing. Code examples are provided for ChatGPT and Bard, including reusable helper functions to speed up the process so you can use them in your application. Level up your coding skills and unleash your potential as you delve into a treasure trove of ready-to-use templates. These prompts work with all types of applications including e-commerce, chatbots, and data analytics. The book walks you through the process step-by-step.