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Programming Books

Programming Books

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This channel: @ProgrammingWorks General: @GeneralWorks Leftist: @LeftistWorks Philosophy: @PhilosophyWorks

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📈 Analytical overview of Telegram channel Programming Books

Channel Programming Books (@programmingworks) is an active participant. Currently, the community unites 12 646 subscribers, ranking in the Other category.

📊 Audience metrics and dynamics

Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 12 646 subscribers.

According to the latest data from 03 December, 2024, the channel demonstrates stable activity. Although there has been a change in the number of participants by 225 over the last 30 days and by 15 over the last 24 hours, overall reach remains high.

  • Verification status: Not verified
  • Engagement rate (ER): The average audience engagement rate is 0%. Within the first 24 hours after publication, content typically collects N/A% reactions from the total number of subscribers.
  • Post reach: On average, each post receives 0 views. Within the first day, a publication typically gains 0 views.
  • Reactions and interaction: The audience actively supports content: the average number of reactions per post is 0.

📝 Description and content policy

The author describes the resource as a platform for expressing subjective opinions:
This channel: @ProgrammingWorks General: @GeneralWorks Leftist: @LeftistWorks Philosophy: @PhilosophyWorks

Thanks to the high frequency of updates (latest data received on 04 December, 2024), the channel maintains relevance and a high level of publication reach. Analytics show that the audience actively interacts with content, making it an important point of influence in the Other category.

12 646
Subscribers
+1524 hours
+197 days
+22530 days
Posts Archive
Microservices - Flexible Software Architecture - Eberhard Wolff (Addison-Wesley, 2016)

Natural Computing Algorithms - Anthony Brabazon, Michael O'Neill, Seán McGarraghy (Springer, 2015)

The Mikado Method - Ola Ellnestam, Daniel Brolund (Manning, 2014)

The Mikado Method - Ola Ellnestam, Daniel Brolund (Manning, 2014)

C++ Concurrency in Action - Anthony Williams (Manning, 2019)

Functional Programming for Dummies - John Paul Mueller (Wiley, 2019)

Functional Programming for Dummies - John Paul Mueller (Wiley, 2019)

Computer Systems - A Programmer's Perspective - Randal E. Bryant, David R. O'Hallaron (Pearson, 2016)

Foundations of Computer Science - Behrouz Forouzan (Cengage, 2018)

Java in a Nutshell - A Desktop Quick Reference - Benjamin J. Evans, David Flanagan (O'Reilly Media, 2019)

Introduction to Algorithms - Thomas H. Cormen, Charles E. Leiserson, Ronald L. Rivest, Clifford Stein (The MIT Press, 2009)

Introduction to Data Compression - Khalid Sayood (Morgan Kaufmann, 2018)

Category Theory for Programmers - Bartosz Milewski (Creative Commons, 2018)

Elixir in Action - Sasa Juric (Manning, 2019)

Grokking Deep Learning - Andrew W. Trask (Manning, 2019)

C++ Templates - The Complete Guide - David Vandevoorde, Nicolai M. Josuttis, Douglas Gregor (Addison-Wesley, 2017)

C++ Templates - The Complete Guide - David Vandevoorde, Nicolai M. Josuttis, Douglas Gregor (Addison-Wesley, 2017)

Is Parallel Programming Hard, And, If So, What Can You Do About It? - Paul E. McKenney (Creative Commons, 2018)

Probability and Statistics for Computer Science - David Forsyth (Springer, 2017)

Basic Elements of Computational Statistics - Wolfgang Karl Härdle, Ostap Okhrin, Yarema Okhrin (Springer, 2017)