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经济管理相关的电子书
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Practical SQL: A Beginner’s Guide to Storytelling with Data(Anthony DeBarros)(No Starch Press 2022)
MongoDB: The Definitive Guide, 3rd Edition(Kristina Chodorow; Eoin Brazil; Shannon Bradshaw)(O’Reilly Media, Inc. 2019)
Data Science on the Google Cloud Platform(Valliappa Lakshmanan)(O’Reilly Media 2018)
Good Charts Workbook – Tips, Tools, and Exercises for Making Better Data Visualizations(Scott Berinato)(Harvard Business School Press 2018)
Red Hat Enterprise Linux Troubleshooting Guide(Cane, B.)(Packt Publishing 2015)
Machine Learning: Introduction to Supervised and Unsupervised Learning Algorithms with Real-World Applications (Advanced Data Analytics Book 1)(Maynard, Morgan)(2020)
Observability Engineering: Achieving Production Excellence(Charity Majors, Liz Fong-Jones, George Miranda)(O’Reilly Media 2022)
Hands On Machine Learning with Python: Concepts and Applications for Beginners(Anderson, John)(Createspace Independent Publishing Platform;AI Sciences LLC 2018)
Data Science and Data Analytics(Amit Kumar Tyagi;)(CRC Press (Unlimited) 2022)
Computer programming: 2 books in 1: raspberry pi+Python for beginners, Mastering Python Step By Step and Unlock Powerful Hacks(Snowden, John [Snowden, John])(2021)
Bioinformatics and Medical Applications: Big Data Using Deep Learning Algorithm(A. Suresh, S. Vimal, Y. Harold Robinson, Dhinesh Kumar Ramaswami, R. Udendhran)(Wiley-Scrivener 2022)
Scala Machine Learning Projects: Build real-world machine learning and deep learning projects with Scala (English Edition)(Md. Rezaul Karim)(Packt Publishing 2018)
Python Machine Learning Cookbook (Early Release)(Chris Albon)(Packt Publishing 2017)
High Performance Python: Practical Performant Programming for Humans(Micha Gorelick, Ian Ozsvald)(O’Reilly Media 2014)
Sustainable Web Design(Tom Greenwood)(A Book Apart 2021)
Mastering Bitcoin: Unlocking Digital Cryptocurrencies(Andreas M. Antonopoulos)(O’Reilly 2017)
SQL Server Execution Plans. For SQL Server 2008 through to 2017 and Azure SQL Database(Grant Fritchey)(Red Gate Books 2018)
Python Recipes Handbook Problem-Solution Approach(Joey Bernard)(Apress 2016)
Numerical Python: Scientific Computing and Data Science Applications with Numpy, Scipy and Matplotlib(Robert Johansson)(Apress 2019)
Meta-Analysis for Public Management and Policy(Evan Ringquist)(John Wiley & Sons 2013)
Python for Beginners: A Step by Step Crash Course to Learn Smarter the Fundamental Elements of Python Programming, Machine Learning, Data Science and Tools, Tips and Tricks of This Coding Language(Knox, Jason)(2020)
Engineer to Entrepreneur: Success Strategies to Manage Your Career and Start Your Own Firm(Rick De La Guardia)(American Society of Civil Engineers 2016)
How Management Works: The Concepts Visually Explained (How Things Work), New Edition(Philippa Anderson)(2022)
Providing Sound Foundations for Cryptography: On the work of Shafi Goldwasser and Silvio Micali(Oded Goldreich)(Morgan & Claypool 2019)
Malware Data Science: Attack Detection And Attribution(Joshua Saxe, Hillary Sanders)(No Starch Press 2018)
Cloud Governance and Management Made Simple: Practical Step-by-Step Guide for Small and Mid-Sized Organizations(Fulton, Lita)(Right Solution, Inc. 2015)
Dr Sebi Alkaline Diet(Kia Howell [Howell, Kia])(Kia Howell 2021)
Applied Quantitative Finance: Using Python for Financial Analysis(Mauricio Garita)(Palgrave Pivot 2021)
Python Data Analysis Perform data collection, data processing, wrangling, visualization, and model building using Python(Avinash Navlani, Armando Fandango, Ivan Idris)(Packt Publishing 2021)
PMO pain: Why most project management offices fail and what to do about it(Baldwin, Cody [Baldwin, Cody])(2016)
Everyday Data Structures(William Smith)(Packt Publishing 2017)
Better Deep Learning: Train Faster, Reduce Overfitting, and Make Better Predictions(Jason Brownlee)(machinelearningmastery.com 2018)
对话私募股权与风险投资大师 (资本的游戏)(罗伯特 A.芬克(Robert A.Finkel))(机械工业出版社 2010)
PYTHON PROGRAMMING: The Ultimate Expert Guide: Advanced Features, Object-Oriented Programming, Data Analysis, Artificial Intelligence and Machine Learning with Python(Campbell, Clive)(2020)
Practical Binary Analysis. Build your own Linux Tools for Binary Instrumentation, Analysis and Disassembly(Dennis Andriesse)(No Starch 2018)
Python Machine Learning: The Ultimate Guide for Beginners to Machine Learning with Python, Programming and Deep Learning, Artificial Intelligence, Neural Networks, and Data Science(Moore, Richard)(self pubished 2019)
Applied Econometrics with SAS: Modeling Demand, Supply, and Risk(Barry K. Goodwin, A. Ford Ramsey, Jan Chvosta)(SAS Institute 2018)
Python Coding: Learn To Code Fast. Python For Data Analysis And Machine Learning. Advanced Methods To Learn How To Create Codes. Practical Programming Strategies For Beginners.(Wall, Eric [Wall, Eric])(2020)
Effective Modern C++ 42 Specific Ways to Improve Your Use of C++11 and C++14(Scott Meyers)(O’Reilly, O’Reilly Media 2014)
Internet of Things with Python: Interact with the world and rapidly prototype IoT applications using Python(Gaston C. Hillar)(Packt Publishing 2016)
The Data Detective’s Toolkit: Cutting-Edge Techniques and SAS® Macros to Clean, Prepare, and Manage Data(Kim Chantala)(SAS Institute Inc. 2020)
Becoming a Data Head: How to Think, Speak, and Understand Data Science, Statistics, and Machine Learning(Alex J. Gutman, Jordan Goldmeier)(Wiley 2021)
先发制人(译文纪实)([以] 罗南·伯格曼)
Machine Learning and Deep Learning in Medical Data Analytics and Healthcare Applications(Om Prakash Jena, Bharat Bhushan, Utku Kose)(CRC Press 2022)
Mobile Phones and Tablets Repairs(Chukky Oparandu)(Mondraim Nig. Limited 2016)
Practical Vulnerability Management: A Strategic Approach to Managing Cyber Risk(Andrew Magnusson)(No Starch Press 2020)
Cybersecurity Fundamentals: A Real-World Perspective(Kutub Thakur; Al-Sakib Khan Pathan)(CRC Press 2020)
Internals of Python 3.x: Derive Maximum Code Performance and Delve Further into Iterations, Objects, GIL, Memory management, and various Internals(Prashanth Raghu [P. Raghu])(BPB Publications 2022)
The Basics of Cryptocurrency and Blockchains: Learn about Cryptocurrency, Crypto Investments, Crypto Trading, NFT’s, and More(Syed Rizvi)(2021)
Learning Genetic Algorithms with Python: Empower the performance of Machine Learning and AI models with the capabilities of a powerful search algorithm (Gridin, Ivan)(BPB Publications 2021)
Ubuntu Server Essentials(Abdelmonam Kouka)(Packt Publishing 2015)
Zero To Mastery In Network Security- No.1 Network Security Book To Become Zero To Hero In Network Security(R.K. Jain)(2022)
Pro iPhone Development with SwiftUI: Design and Manage Top Quality Apps(Wallace Wang)(Apress 2022)
Algo Trading Cheat Codes: Techniques For Traders To Quickly And Efficiently Develop Better Algorithmic Trading Systems(Kevin J. Davey)(2021)
经济学原理([英]阿尔弗雷德·马歇尔)(2017)
How to Manage Complex Programs : High-Impact Techniques for Handling Project Workflow, Deliverables, and Teams(Tom Kendrick)(AMACOM 2016)
财主底儿女们 上(路翎著)(北京:人民文学出版社 1985)
Spark for Python Developers: A concise guide to implementing Spark Big Data analytics for Python developers, and building a real-time and insightful trend tracker data intensive app(Amit Nandi)(Packt Publishing 2015)
孙子兵法(套装全六册 全本无删减!无障碍阅读版,纸质书畅销数百万套!原文精校+疑难字注音+准确注释+精美插图+精彩战例!)(孙武)(北京联合出版公司 2016)
The Hardware Hacker: Adventures in Making and Breaking Hardware(Andrew bunnie Huang)(No Starch Press 2017)
Kafka Up and Running for Network DevOps: Set Your Network Data in Motion(Eric Chou)(Network Automation Nerds 2021)
Machine Trading: Deploying Computer Algorithms to Conquer the Markets(Ernest P. Chan)(Wiley 2017)
Software Architecture with Python(Anand Balachandran Pillai)(Packt Publishing 2017)
Hands-on Penetration Testing for Web Applications(Richa Gupta)(BPB Publications 2021)
MacOS and iOS Internals, Volume III: Security & Insecurity(Jonathan Levin)(Technologeeks Press 2016)
Hypothesis Testing(Jim Frost)(Statistics By Jim Publishing 2020)
Essential TypeScript(Adam Freeman)(Apress, Berkeley, CA 2019)
金钱游戏(一个投机者的告白)(安德烈·科斯托兰尼)(epub掌上书苑 2015)
Kafka: The Definitive Guide: Real-Time Data and Stream Processing at Scale, Second Edition(Gwen Shapira, Todd Palino, Rajini Sivaram, Krit Petty)(O’Reilly Media 2021)
Implementing DevOps on AWS(Kantsev, Veselin)(Packt Publishing 2017)
Pussycats: Why the Rest Keeps Beating the West(Martin van Creveld)(CreateSpace Independent Publishing Platform 2016)
Mastering Kali Linux for Web Penetration Testing(Michael McPhee)(Packt Publishing 2017)
Applied Text Analysis with Python(Benjamin Bengfort)(O’Reilly Media 2018)
The four pillars of portfolio management : organizational agility, strategy, risk, and resources(Olivier Lazar)(Auerbach Publications 2019)
复杂性思维八部曲(“拉格朗日奖”“熊彼特奖”得主布莱恩·阿瑟,风靡全球、超过100万人反复学习的模型思维课首创者斯科特·佩奇,21世纪的“亚当·斯密”埃里克·拜因霍克、世界著名哲学家、让·尼科奖丹尼尔·丹尼特等重磅作品,一套关于思维方式、经济财富、社会秩序、人类进步多方面的精品书系)(安德烈亚斯·瓦格纳 & 布莱恩·阿瑟 & 塞缪尔·阿贝斯曼 & 埃里克·拜因霍克 & 斯科特·佩奇 & 罗伯特·博伊德 & 丹尼尔·丹尼特)(浙江人民出版社 2021)
C++ High Performance(Viktor Sehr, Björn Andrist)(Packt 2018)
Practical Machine Learning for Streaming Data with Python: Design, Develop, and Validate Online Learning Models(Sayan Putatunda)(Apress 2021)
Pro Deep Learning with Tensorflow: A Mathematical Approach to Advanced Artificial Intelligence in Python(Santanu Pattanayak)(Apress 2017)
Practitioner’s Guide to Data Science: Streamlining Data Science Solutions using Python, Scikit-Learn, and Azure ML Service(,,,,)(BPB Online 2022)
Functional Python Programming: Discover the Power of Functional Programming, Generator Functions, Lazy Evaluation, the Built-In Itertools Library, and Monads, 2nd Edition(Steven F. Lott)(Packt Publishing 2018)
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