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学习教育相关的电子书
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Basic Electronics Tutorial: For Beginners and Beyond(Wayne Storr)(2013)
Raspberry Pi for Radio Amateurs(Dogan Ibrahim)(Elektor International Media 2020)
Handbook of Meta-Analysis (Chapman & Hall CRC Handbooks of Modern Statistical Methods)(Christopher H. Schmid (editor), Theo Stijnen (editor), Ian R. White (editor))(Chapman and Hall CRC 2020)
C Programming Language The Beginner’s Guide(Unknown)(2020)
PYTHON AND ACCESS: Creating Reports Using HTML AND RDLC(Edwards, Richard)(2021)
Supercharge Excel: When you learn to Write DAX for Power Pivot(Matt Allington)(Holy Macro! Books 2018)
公共行政学:管理、政治和法律的途径((美)戴维·H·罗森布鲁姆 罗伯特·S·克拉夫丘克著 张成福等译)(中国人民大学出版社 2002)
Raspberry Pi 3 Cookbook for Python Programmers – Third Edition(Tim Cox, Dr. Steven Lawrence Fernandes)(Packt Publishing 2018)
Functional Programming in Kotlin(Marco Vermeulen, Rúnar Bjarnason, Paul Chiusano)(Manning Publications 2021)
Let Us Python (2nd Ed.) – SOLUTIONS(Yashavant Kanetkar, Aditya Kanetkar)(BPB Publications 2020)
中华吟诵读本:高中生必背古诗词文70篇(附光盘)–中华经典吟诵学生读本系列 (中华书局出品)(李昌集)(中华书局 2017)
Probabilistic Deep Learning: With Python, Keras and TensorFlow Probability(Oliver Dürr & Beate Sick & Elvis Murina [Dürr, Oliver & Sick, Beate & Murina, Elvis])(Manning Publications 2020)
Create Your Own Operating System(Lucus Darnell)(CreateSpace Independent Publishing Platform 2016)
Rock Climbing: The Art of Safe Ascent(John Long, Bob Gaines)(Falcon Guides 2021)
MASTERING MACHINE LEARNING ALGORITHMS(BONACCORSO, GIUSEPPE)(Packt Publishing 2018)
Complex Network Analysis in Python: Recognize – Construct – Visualize – Analyze – Interpret(Dmitry Zinoviev)(Pragmatic Bookshelf 2018)
Python Cookbook, Third Edition(David Beazley; Brian K. Jones)(O’Reilly Media 2014)
中医养生学 (全国中医药行业高等教育 十三五 规划教材,全国高等中医药院校规划教材)(马烈光,蒋力生)(中国中医药出版社 2016)
Fundamentals of Software Engineering, 5th Edition(Mall, Rajib)(PHI Learning Private Limited 2018)
TypeScript Programming Language(TypeScript Publishing)(TypeScript Publishing 2019)
Power BI Succinctly(Pierstefano Tucci)(Syncfusion 2017)
Python Programming for Beginners: 2 Books in 1 – the Ultimate Step-By-Step Guide to Learn Python Programming Quickly With Practical Exercises(Mark Reed)(Independently Published 2022)
Automate it!(Giridhar, Chetan)(Packt Publishing 2017)
Analysis of Clinical Trials Using SAS: A Practical Guide, Second Edition(Alex Dmitrienko; Gary G. Koch)(SAS Institute 2017)
Writing High-Performance .NET Code(Ben Watson)(Smashwords Edition 2018)
全国执业中药师资格考试模拟试题集(国家中医药管理局科技教育司组织编写)(北京:中国中医药出版社 1997)
Python Programming: Python Programming for Beginners, Python Programming for Intermediates(Adam Stewart)(2017)
Vue.js in Action(Erik Hanchett; Benjamin Listwon)(Manning Publications 2018)
Algorithms and Networking for Computer Games(Jouni Smed, Harri Hakonen)(Wiley 2017)
Beginning iOS 14 & Swift App Development(Lim, Greg)(2019)
初中文言文全解一本通 新课标人教版(《初中文言文全解一本通》编写组编)(北京:北京教育出版社 2013)
Raspberry Pi Cookbook: Software and Hardware Problems and Solutions(Simon Monk)(O’Reilly Media 2019)
SQL Coding for Beginners: Step-by-Step Beginner’s Guide to Mastering SQL Programming and Coding(Fawn Watson)(Independently Published 2022)
Invent Your Own Computer Games with Python, 4E(Sweigart, Al)(No Starch Press 2016)
Game Programming Patterns(Robert Nystrom)(Genever Benning 2014)
Python For Beginners – 8th Edition, 2021(,)(2021)
How To Win With Your Data Visualizations: The 5 Part Guide For Junior Analysts To Create Effective Data Visualizations And Engaging Data Stories(Clarke, Elizabeth)(2021)
Jupyter for Data Science(Dan Toomey)(Packt Publishing 2017)
小学作文步步高:五、六年级(张玉仁主编)(成都:天地出版社 2000)
Conceptual Data Modeling and Database Design. A Fully Algorithmic Approach. The Shortest Advisable Path(Christian Mancas)(Apple Academic Press 2015)
Web Application Advanced Hacking(Maor Tal)(leanpub.com 2020)
Artificial Intelligence, Machine Learning, and Deep Learning(Campesato, Oswald)(Mercury Learning & Information 2021)
A Python Guide For Web Scraping(Pradumna Milind Panditrao)(BPB Publications 2021)
Webmin & Virtualmin: The Open Source Alternative to Cpanel(Adrian Ling)(2014)
Programming and Problem Solving with C++, 7th Edition(Nell Dale, Chip Weems, Tim Richards)(Jones & Bartlett Learning 2022)
The Hacker Playbook 3: Practical Guide to Penetration Testing(Peter Kim)(Independently Published 2018)
当代资深名老中医秘验单方精选 (中医药畅销书选粹·方药存真)(徐福宁, 中医经验选编, 古聖先賢, 中医学习)(中国中医药出版社 2012)
顿悟与启迪:卡罗尔·希尔兹谈写作(经典写作课)(卡罗尔·希尔兹)(2021)
Carpenter’s Complete Guide to the SAS Macro Language(Art Carpenter)(SAS Institute 2016)
Visual Studio 2019 In Depth: Discover and make use of the powerful features of the Visual Studio 2019(Ockert J. du Preez)(BPB Publications 2019)
Shell Programming in Unix, Linux and OS X(Patrick Wood, Stephen G. Kochan)(Addison-Wesley Professional 2016)
Cracking the Coding Interview: 189 Programming Questions and Solutions(Gayle Laakmann McDowell)(CareerCup 2015)
Knowledge Graphs: Fundamentals, Techniques, and Applications(Mayank Kejriwal, Craig A. Knoblock, Pedro Szekely)(MIT Press 2021)
Practical Guide to Cluster Analysis in R. Unsupervised Machine Learning(Alboukadel Kassambara)(STHDA (http: www.sthda.com) 2017)
SQL: 2 books in 1 – The Ultimate Beginner’s & Intermediate Guide to Learn SQL Programming step by step(Ryan Turner)(2019)
Sentiment Analysis: Mining Opinions, Sentiments, and Emotions(Bing Liu)(Cambridge University Press 2015)
Wicked Cool Shell Scripts(Dave Taylor)(2016)
PHP: Tips and Tricks for Building Modern PHP Apps(Logan Pratt)(2020)
Think Complexity: Complexity Science and Computational Modeling(Allen B. Downey)(Green Tea Press 2011)
Android Developement with Kotlin(Marcin Moskala; Igor Wojda)(Pack Publishing 2017)
Python NumPy for Beginners: NumPy Specialization for Data Science (Python for Beginners in Data Science and Data Analysis Book 1)(Publishing, AI)(AI Publishing LLC 2022)
IPython Interactive Computing and Visualization Cookbook: Over 100 hands-on recipes to sharpen your skills in high-performance numerical computing and data science with Python(Cyrille Rossant)(Packt Publishing 2014)
Database Systems Design, Implementation, & Management(Carlos Coronel, Steven Morris)(Course Technology 2015)
Create Your Own Operating System: Build, deploy, and test your very own operating systems for the Internet of Things and other devices(Darnell, Lucus)(Lucas Darnell 2016)
常用文言虚词词典(陕西师范大学《古汉语虚词用法词典》编写组3编)(西安:陕西人民出版社 1983)
PHP 7 Data Structures and Algorithms(Mizanur Rahman)(Packt Publishing 2017)
Python Standard Library: A Quickstudy Laminated Reference Guide(Berajah Jayne)(Quickstudy Reference Guides 2020)
Agile Practice Guide(Project Management Institute)(Project Management Institute 2017)
Design It!: From Programmer to Software Architect(Michael Keeling)(Pragmatic Bookshelf 2017)
Quantum Field Theory for Economics and Finance(Belal Ehsan Baaquie)(Cambridge University Press 2018)
中药浅说(丁福保著;王云五主编)(商务印书馆 1933)
Software Development Activity Cycles: Collaborative Development, Continuous Testing and User Acceptance(Robert F. Rose)(Apress 2022)
Learn C# in One Day and Learn It Well(Jamie Chan, LCF Publishing)(CreateSpace 2015)
Deep Learning from Scratch(Seth Weidman)(O’Reilly Media 2019)
大学语文三百题解(曲阜师范大学《语文函授》编辑部编)(北京:对外贸易教育出版社 1987)
C++ 14 Quick Syntax Reference(Mikael Olsson (auth.))(Apress 2015)
Node.js the Right Way: Practical, Server-Side JavaScript That Scales(Jim R. Wilson)(The Pragmatic Programmers; Pragmatic Bookshelf 2013)
Python re(gex) a magical tool for text processing(Sundeep Agarwal)(Sundeep Agarwal 2019)
Python Programming for School Students: Suitable for class X to XII students(Verma, Mahendra)(2021)
iOS 10 SDK Development: Creating iPhone and iPad Apps with Swift(Chris Adamson; Janie Clayton)(Pragmatic Bookshelf 2016)
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