Modern C++ (C++11 or later) books are not nearly as plentiful as those for Classic C++, but there are a few notables.

Bjarne's college text may be what you are looking for:

Programming: Principles and Practice Using C++ https://www.amazon.com/Programming-Principles-Practice-Using-2nd/dp/0321992784/ref=pd_sim_14_2/144-7765085-0122037

It is aimed at engineers, which makes it less general, but might be good for you.

Of course his general intro is also updated to C++11.

The C++ Programming Language https://www.amazon.com/C-Programming-Language-4th/dp/0321563840/ref=pd_sim_14_2/144-7765085-0122037

This is aimed at experienced systems programmers, so it may be a bit heavy for students, which makes the Primer (that you mentioned attractive).

C++ Primer https://www.amazon.com/Primer-5th-Stanley-B-Lippman/dp/0321714113/ref=pd_bxgy_14_img_2/144-7765085-0122037

Be certain to get the 5th edition.

Of Scott's books only the latest is Modern.

Effective Modern C++ https://www.amazon.com/Effective-Modern-Specific-Ways-Improve/dp/1491903996/ref=pd_sim_14_2/144-7765085-0122037?_encoding=UTF8

This is less an introduction for students than for Journeymen (Journeypeople?) programmers.

For just plain good programming style consider Ivan's book.

Functional Programming in C++ https://www.amazon.com/gp/product/1617293814

Don't be put off by "Functional." This style of programming will make your students excellent programmers.

There are some modern books of high quality that are niche.

The ultimate guide to templates:
C++ Templates https://www.amazon.com/C-Templates-Complete-Guide-2nd/dp/0321714121/ref=pd_sim_14_1/144-7765085-0122037

The ultimate guide to concurrency:
C++ Concurrency in Action https://www.amazon.com/C-Concurrency-Action-Anthony-Williams/dp/1617294691/ref=pd_sim_14_1/144-7765085-0122037

Some library options:

Despite its name, this is mostly reference. A very good reference.
The C++ Standard Library: A Tutorial and Reference (2nd Edition) https://www.amazon.com/Standard-Library-Tutorial-Reference-2nd/dp/0321623215/ref=pd_sim_14_2/144-7765085-0122037

Arthur's book covers C++17, which makes it one of the most modern on this list:
Mastering the C++17 STL: Make full use of the standard library components in C++17 https://www.amazon.com/Mastering-17-STL-standard-components-ebook/dp/B076CQ1RFF/ref=sr_1_fkmrnull_1

To what extent are you teaching C++ and to what extent are you teaching programing?

Good luck and have fun!

Senior Level Software Engineer Reading List

Read This First

1. Mastery: The Keys to Success and Long-Term Fulfillment
   
   

   Fundamentals
   

   
   

2. Patterns of Enterprise Application Architecture
   
3. Enterprise Integration Patterns: Designing, Building, and Deploying Messaging Solutions
   
4. Enterprise Patterns and MDA: Building Better Software with Archetype Patterns and UML
   
5. Systemantics: How Systems Work and Especially How They Fail
   
6. Rework
   
7. Writing Secure Code
   
8. Framework Design Guidelines: Conventions, Idioms, and Patterns for Reusable .NET Libraries
   
   

   Development Theory
   

   
   

9. Growing Object-Oriented Software, Guided by Tests
   
10. Object-Oriented Analysis and Design with Applications
    
11. Introduction to Functional Programming
    
12. Design Concepts in Programming Languages
    
13. Code Reading: The Open Source Perspective
    
14. Modern Operating Systems
    
15. Extreme Programming Explained: Embrace Change
    
16. The Elements of Computing Systems: Building a Modern Computer from First Principles
    
17. Code: The Hidden Language of Computer Hardware and Software
    
    

    Philosophy of Programming
    

    
    

18. Making Software: What Really Works, and Why We Believe It
    
19. Beautiful Code: Leading Programmers Explain How They Think
    
20. The Elements of Programming Style
    
21. A Discipline of Programming
    
22. The Practice of Programming
    
23. Computer Systems: A Programmer's Perspective
    
24. Object Thinking
    
25. How to Solve It by Computer
    
26. 97 Things Every Programmer Should Know: Collective Wisdom from the Experts
    
    

    Mentality
    

    
    

27. Hackers and Painters: Big Ideas from the Computer Age
    
28. The Intentional Stance
    
29. Things That Make Us Smart: Defending Human Attributes In The Age Of The Machine
    
30. The Back of the Napkin: Solving Problems and Selling Ideas with Pictures
    
31. The Timeless Way of Building
    
32. The Soul Of A New Machine
    
33. WIZARDRY COMPILED
    
34. YOUTH
    
35. Understanding Comics: The Invisible Art
    
    

    Software Engineering Skill Sets
    

    
    

36. Software Tools
    
37. UML Distilled: A Brief Guide to the Standard Object Modeling Language
    
38. Applying UML and Patterns: An Introduction to Object-Oriented Analysis and Design and Iterative Development
    
39. Practical Parallel Programming
    
40. Past, Present, Parallel: A Survey of Available Parallel Computer Systems
    
41. Mastering Regular Expressions
    
42. Compilers: Principles, Techniques, and Tools
    
43. Computer Graphics: Principles and Practice in C
    
44. Michael Abrash's Graphics Programming Black Book
    
45. The Art of Deception: Controlling the Human Element of Security
    
46. SOA in Practice: The Art of Distributed System Design
    
47. Data Mining: Practical Machine Learning Tools and Techniques
    
48. Data Crunching: Solve Everyday Problems Using Java, Python, and more.
    
    

    Design
    

    
    

49. The Psychology Of Everyday Things
    
50. About Face 3: The Essentials of Interaction Design
    
51. Design for Hackers: Reverse Engineering Beauty
    
52. The Non-Designer's Design Book
    
    

    History
    

    
    

53. Micro-ISV: From Vision to Reality
    
54. Death March
    
55. Showstopper! the Breakneck Race to Create Windows NT and the Next Generation at Microsoft
    
56. The PayPal Wars: Battles with eBay, the Media, the Mafia, and the Rest of Planet Earth
    
57. The Business of Software: What Every Manager, Programmer, and Entrepreneur Must Know to Thrive and Survive in Good Times and Bad
    
58. In the Beginning...was the Command Line
    
    

    Specialist Skills
    

    
    

59. The Art of UNIX Programming
    
60. Advanced Programming in the UNIX Environment
    
61. Programming Windows
    
62. Cocoa Programming for Mac OS X
    
63. Starting Forth: An Introduction to the Forth Language and Operating System for Beginners and Professionals
    
64. lex & yacc
    
65. The TCP/IP Guide: A Comprehensive, Illustrated Internet Protocols Reference
    
66. C Programming Language
    
67. No Bugs!: Delivering Error Free Code in C and C++
    
68. Modern C++ Design: Generic Programming and Design Patterns Applied
    
69. Agile Principles, Patterns, and Practices in C#
    
70. Pragmatic Unit Testing in C# with NUnit
    
    

    DevOps Reading List
    

    
    

71. Time Management for System Administrators: Stop Working Late and Start Working Smart
    
72. The Practice of Cloud System Administration: DevOps and SRE Practices for Web Services
    
73. The Practice of System and Network Administration: DevOps and other Best Practices for Enterprise IT
    
74. Effective DevOps: Building a Culture of Collaboration, Affinity, and Tooling at Scale
    
75. DevOps: A Software Architect's Perspective
    
76. The DevOps Handbook: How to Create World-Class Agility, Reliability, and Security in Technology Organizations
    
77. Site Reliability Engineering: How Google Runs Production Systems
    
78. Cloud Native Java: Designing Resilient Systems with Spring Boot, Spring Cloud, and Cloud Foundry
    
79. Continuous Delivery: Reliable Software Releases through Build, Test, and Deployment Automation
    
80. Migrating Large-Scale Services to the Cloud

Your best bet for learning yourself is to get a book. The biggest issue is their isn't really a generalized book. They are mostly specialized for exactly what you want to do. For example Michael Quinn's "Parallel Programming in C with MPI and OpenMP" is great if you want to wriate a parallel program in C with MPI and OpenMP. You would probably do pretty well getting Using OpenMP and going from there. It should have plenty of examples in C++ to get you started on th right track.

> don't make games. Implement complex rendering tech.

Great advice, this mirrors my experience.

>I though I was pretty good so I switched to Vulkan, which absolutely kicked my ass. It took me about a year to get back comfortable with Vulkan, during which I learned a ton about the intricacies of modern GPUs.

Same, but with D3D12 for me. A low-level API for the graphics pipeline and Professional CUDA Programming for the compute side is a great combination.

You should start with A Tour of Go or The Go Programming Language.

If you are more interested in looking at how to use Go in Work related setting, I would recommend Distributed Computing with Go.

It covers important topics like Containers, Docker, testing etc from ground up.

Django and multi-threading is actually easy,

For django I recommend reading "Mastering Django"

Here is a link to read it for free https://djangobook.com/the-django-book/

and for multi threading read "Parallel Programming with Python"

https://www.amazon.com/Parallel-Programming-Python-Jan-Palach/dp/1783288396

^ not affiliated

Depending on how skilled you are at Java:

• Effective Java
  
• Java Concurrency in Practice
  
• Java Generics
  
  Then for Android specifically:
  
  
• Efficient Android Threading
  
• Android Concurrency
  
• High Performance Android Apps
  
• Android Databases Best Practices
  

I'm with /u/riksterinto. It's hard to recommend a path for you without knowing what your current knowledge is, or what your goals are.

If you haven't ever written code with threads, then it's a good idea to try it on a small project without a framework. The toolsets you identify are intended to solve problems of very different shapes and sizes, so I think your survey should start with understnading those architectural attributes, patterns, and differences.

These books might help:

• Distributed Systems by Coulouris
  
• Distributed Systems by Tannenbaum and van Steen
  
• The Art of Multiprocessor Programming by Herlihy
  
• C++ Concurrency in Action by Williams
  
• The Cuda Handbook by Wilt
  
• Parallel Programming: Concepts and Practice by Schmidt, et al

I'm not under any illusion that everyone on the internet lives in the U.S., but FYI Amazon could have the book to you by Friday Feb 15. Was that email maybe from the publisher?

If I didn't already have the first edition I'd jump on it. Will probably hold off for now...

I do not. I'll admit to doing little work with multiprocessing in Python. It really just isn't the language's strength. That said, this seems to be a good intro on the concepts. From there, you can pick up any book on parallelism and apply those concepts to the APIs provided in Python. Alternatively, this book seems to be directly address what you're after.

http://www.amazon.com/Efficient-Android-Threading-Asynchronous-Applications/dp/1449364136/

If the official book doesn't have enough for you, try this book. It is on par with the C++ and Java ones IMO.

https://www.amazon.com/Data-Structures-Algorithms-efficient-applications/dp/1788835212

This kind of stings if you just bought this on Amazon.

OT: has anyone bought https://www.amazon.com/Rust-Programming-Example-concurrent-applications/dp/1788390636/

The TOC looks great but I have had bad experiences with Packt