利用Python进行数据分析（原书第2版）

Packt.Python.for.Finance.2nd.Edition.2017

Packt.Python.for.Finance.2nd.Edition.2017

Packt.OpenCV.3.x.with.Python.By.Example.2nd.Edition.2018

Packt.OpenCV.3.x.with.Python.By.Example.2nd.Edition.2018.Code

Packt.Functional.Python.Programming.2nd.Edition.2018

Packt.Functional.Python.Programming.2nd.Edition.2018

Packt.Spring.Boot.2.0.Cookbook.2nd.Edition.

Packt.Spring.Boot.2.0.Cookbook.2nd.Edition. Packt.Spring.Boot.2.0.Cookbook.2nd.Edition.

Packt.Mastering.Linux.Shell.Scripting.2nd.Edition

In this book, you'll discover everything you need to know to master shell scripting and make informed choices about the elements you employ. Get your systems updated to the latest Linux kernel and Bash shell to run your administration tasks efficiently. Get to grips with the fundamentals of creating and running a script in normal mode, and in debug mode. Learn about various conditional statements' code snippets, and realize the power of repetition and loops in your shell script. You will also learn to write complex shell scripts. This book will also deep dive into file system administration, directories, and system administration like networking, process management, user authentications, and package installation and regular expressions. Towards the end of the book, you will learn how to use Python as a BASH Scripting alternative. By the end of this book, you will know shell scripts at the snap of your fingers and will be able to automate and communicate with your system with keyboard expressions.

Packt.Python.Web.Scraping.2nd.Edition.2017.5.pdf

python 爬虫入门的经典之作。先了解爬虫的基本原来，再学习scrapy等框架。

Packt.Python.Network.Programming.Cookbook.2nd.Edition.2017

Packt.Python.Network.Programming.Cookbook.2nd.Edition.2017

Packt.Python.GUI.Programming.Cookbook.2nd.Edition.2017

Packt.Python.GUI.Programming.Cookbook.2nd.Edition.2017 Packt.Python.GUI.Programming.Cookbook.2nd.Edition.2017 Packt.Python.GUI.Programming.Cookbook.2nd.Edition.2017

Packt.Python.Machine.Learning.2015

Packt.Python.Machine.Learning.2015

Packt.Matplotlib.for.Python.Developers.2nd.Edition.2018

Packt.Matplotlib.for.Python.Developers.2nd.Edition.2018

Packt.Python.Machine.Learning.Cookbook.2nd.Edition.2019

Packt.Python.Machine.Learning.Cookbook.2nd.Edition.2019

Packt.Multithreading.with.Csharp.Cookbook.2nd.Edition

Packt.Multithreading.with.Csharp.Cookbook.2nd.Edition

Packt.Learning.Continuous.Integration.with.Jenkins.2nd.Edition

Who this book is for This book is aimed at readers with little or no previous experience with Agile or Continuous Integration and Continuous Delivery. It serves as a great starting point for anyone who is new to this field and would like to leverage the benefits of Continuous Integration and Continuous Delivery to increase productivity and reduce delivery time. Build and release engineers, DevOps engineers, (Software Configuration Management) SCM engineers, developers, testers, and project managers can all benefit from this book. Readers who are already using Jenkins for Continuous Integration can learn to take their project to the next level, which is Continuous Delivery. The current edition of the book is a complete reboot of its predecessor. Readers of the first edition can take advantage of some of the new stuff discussed in the current edition, such as Pipeline as Code, Multibranch Pipelines, Jenkins Blue Ocean, distributed build farms using Docker, and more.

Packt.Learning.Apache.Kafka.2nd.Edition

Chapter 1, Introducing Kafka, discusses how organizations are realizing the real value of data and evolving the mechanism of collecting and processing it. It also describes how to install and build Kafka 0.8.x using different versions of Scala. Chapter 2, Setting Up a Kafka Cluster, describes the steps required to set up a single- or multi-broker Kafka cluster and shares the Kafka broker properties list. Chapter 3, Kafka Design, discusses the design concepts used to build the solid foundation for Kafka. It also talks about how Kafka handles message compression and replication in detail. Chapter 4, Writing Producers, provides detailed information about how to write basic producers and some advanced level Java producers that use message partitioning. Chapter 5, Writing Consumers, provides detailed information about how to write basic consumers and some advanced level Java consumers that consume messages from the partitions. Chapter 6, Kafka Integrations, provides a short introduction to both Storm and Hadoop and discusses how Kafka integration works for both Storm and Hadoop to address real-time and batch processing needs. Chapter 7, Operationalizing Kafka, describes information about the Kafka tools required for cluster administration and cluster mirroring and also shares information about how to integrate Kafka with Camus, Apache Camel, Amazon Cloud, and so on.Chapter 6, Kafka Integrations, provides a short introduction to both Storm and Hadoop and discusses how Kafka integration works for both Storm and Hadoop to address real-time and batch processing needs. Chapter 7, Operationalizing Kafka, describes information about the Kafka tools required for cluster administration and cluster mirroring and also shares information about how to integrate Kafka with Camus, Apache Camel, Amazon Cloud, and so on.

Packt.Julia.High.Performance.2nd.Edition.rar

Julia is a high-level, high-performance dynamic programming language for numerical computing. If you want to understand how to avoid bottlenecks and design your programs for the highest possible performance, then this book is for you. The book starts with how Julia uses type information to achieve its performance goals, and how to use multiple dispatches to help the compiler emit high-performance machine code. After that, you will learn how to analyze Julia programs and identify issues with time and memory consumption. We teach you how to use Julia's typing facilities accurately to write high-performance code and describe how the Julia compiler uses type information to create fast machine code. Moving ahead, you'll master design constraints and learn how to use the power of the GPU in your Julia code and compile Julia code directly to the GPU. Then, you'll learn how tasks and asynchronous IO help you create responsive programs and how to use shared memory multithreading in Julia. Toward the end, you will get a flavor of Julia's distributed computing capabilities and how to run Julia programs on a large distributed cluster.

Packt.Python.Web.Scraping.2nd.Edition.2017.5

Packt.Python.Web.Scraping.2nd.Edition.2017.5 英文版 python爬虫技术

Packt.Mastering.Blockchain.2nd.Edition.2018.3.pdf

( Packt.Mastering.Blockchain.2nd.Edition.2018.3.pdf ) ( Packt.Mastering.Blockchain.2nd.Edition.2018.3.pdf )

Packt.Spring.5.0.Microservices.2nd.Edition

Packt. Spring.5.0.Microservices.2nd.Edition spring microservice 2nd edition PDF

Packt.Learning.Python.Design.Patterns.2nd.Edition.2016.2

Packt.Learning.Python.Design.Patterns.2nd.Edition.2016.2

Packt.Python.Programming.for.Arduino.2015

Packt.Python.Programming.for.Arduino.2015

Packt.Mastering.Flask.Web.Development.2nd.Edition

Packt.Mastering.Flask.Web.Development.2nd.Edition

Packt.Gradle.Effective.Implementations.Guide.2nd.Edition

gradle effective 第二版原文书籍。基于gradle 4 , 提供 pdf 和 azw3两种格式。书中系统的介绍grdle 开发、发布的细节。

Packt.Raspberry.Pi.3.Cookbook.for.Python.Programmers.3rd.Edition.2018

Packt.Raspberry.Pi.3.Cookbook.for.Python.Programmers.3rd.Edition.2018

Packt.Python.Artificial.Intelligence.Projects.for.Beginners.2018

Packt.Python.Artificial.Intelligence.Projects.for.Beginners.2018

Packt.Python.Natural.Language.Processing.2017

Packt.Python.Natural.Language.Processing.2017Packt.Python.Natural.Language.Processing.2017Packt.Python.Natural.Language.Processing.2017

Packt.Machine.Learning.Algorithms.2nd.Edition.2018

Packt.Machine.Learning.Algorithms.2nd.Edition.2018

Packt.Python.Deep.Learning.Cookbook.2017

Packt.Python.Deep.Learning.Cookbook.2017Packt.Python.Deep.Learning.Cookbook.2017

基于Python+pytorch的图像处理+附完整代码图像处理，能够轻松实现图像的读取、显示、裁剪等还有机器学习等操作

Python+PyTorch：图像处理界的“瑞士军刀” 在图像处理这个充满魔法的世界里，Python和PyTorch这对黄金搭档，就像一位技艺高超的魔法师和一把无所不能的“瑞士军刀”，总能轻松解决各种看似棘手的难题。它们以高效、灵活和强大的特性，引领着图像处理技术的发展潮流，让无数开发者为之倾倒。Python，这位优雅的魔法师，以其简洁易懂的语法和丰富的库资源，赢得了广大开发者喜爱。无论是数据处理、机器学习还是深度学习，Python都能轻松应对，展现出其无与伦比的魅力。在图像处理领域，Python更是如鱼得水，通过OpenCV、PIL等库，能够轻松实现图像的读取、显示、裁剪、缩放、滤波等操作，让图像在指尖起舞。而PyTorch，这把图像处理界的“瑞士军刀”，则以其灵活性和易用性，成为深度学习领域的翘楚。它拥有强大的自动求导功能，能够轻松构建和训练复杂的神经网络模型。在图像处理中，PyTorch能够助力开发者构建出各种高效的图像识别、分割、生成等模型，让图像焕发出新的生机。想象一下，当你掌握了Python和PyTorch这对黄金搭档，就如同掌握了一把魔法杖和一把瑞士军刀。必然大可作为

python大作业 含爬虫、数据可视化、地图、报告、及源码（2016-2021全国各地区粮食产量）.rar

（含源码及报告）本程序分析了自2016年到2021年（外加）每年我国原油加工的产量，并且分析了2020年全国各地区原油加工量等，含饼状图，柱状图，折线图，数据在地图上显示。运行本程序需要requests、bs4、csv、pandas、matplotlib、pyecharts库的支持，如果缺少某库请自行安装后再运行。文件含6个excel表，若干个csv文件以及一个名字为render的html文件（需要用浏览器打开），直观的数据处理部分是图片以及html文件，可在地图中显示，数据处理的是excel文件。不懂可以扫文件中二维码在QQ里面问。

《点燃我温暖你》中李峋的同款爱心代码

python做的《点燃我温暖你》中李峋的同款爱心代码，最还原的