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  1. Kotlin Exercises
    Marcin Moskała

    A collection of over 100 Kotlin exercises.

  2. Een boek over hoe je op de moderne, open-source manier een wetenschapper kunt zijn.

  3. The Elements of Data Analytic Style (Srpsko Izdanje)
    Vodič za ljude koji žele da analiziraju podatke.
    Jeff Leek and TranslateAI
    No Description Available
  4. Software engineers don’t like writing. We love writing code—sure. But writing a technical documents? Not for me! However, if I have to look back at my career—and identify one skill, other than coding, that helped me in my journey of becoming a better software engineer—it would be writing. Technical writing, to be specific.

  5. Building Cloud Data Platforms Solutions
    An End-to-End Guide for Designing, Implementing, and Managing Robust Data Solutions in the Cloud
    BEN ZAHRA Anouar

    Unlock the power of data in the cloud! 'Building Cloud Data Platforms Solutions' is your passport to designing, implementing, and managing robust data solutions seamlessly. Journey through cutting-edge technology, expert strategies, and real-world examples. Elevate your data game – your cloud adventure starts now.

  6. Uncover and address hidden limiting beliefs that hinder the team's collective growth.

  7. Create awareness of toxic conflict behavior as a necessary first step to eliminate and replace it with healthy, productive communication patterns.

  8. Want to get started with competitive programming? Tired of reading cryptic code? Tired of not knowing which problems to solve next to improve? Not learning much from problems that you solve? ("Every problem looks so different :( ") We've got your back! This book is your jump-start guide into competitive programming!

  9. C++에서 const를 올바르게 사용하는 방법
    How to use const in C++
    Sandor Dargo and Moon Sang Kwon

    지역 변수, 멤버 변수, 멤버 함수, 리턴 타입, 함수 파라미터, 스마트 포인터, rvalue 참조에서 const를 사용했을 때 어떤 문법적인 특징이 있는지, 어떻게 정확하게 사용할 수 있는지 자세하게 설명한다.C++에서 const를 올바르게 사용하면 프로그래머의 의도를 명확히 코딩하고, 컴파일러가 최적화를 하는데 도움이 된다.더 좋은 C++ 코드를 만들기 위해 const를 적극적으로 활용해 보자. 또 동료 개발자들에게도 전파해 보자.

  10. R Bytecode
    An exploration of R's stack-based virtual machine and its bytecode.
    mikefc

    Disassemble and assemble R bytecode

  11. PyTorch Cookbook
    100+ Solutions across RNNs, CNNs, python tools, distributed training and graph networks
    GitforGits | Asian Publishing House

    Put machine learning and neural networks into practice using production oriented, distributed trained, and rich robust ecosystem of python tools

  12. Saúde Da Mulher
    Alberto Miguel
    No Description Available
  13. Anuario
    Ivan Mora
    No Description Available
  14. ZERO anxiety
    Fabio Gonçalves Faria
    No Description Available
  15. Scaling Simplified
    A Practitioner's Guide to Scaling Flow
    Prateek Singh

    If you are a large organization that has seen the benefits of Agile approaches on teams, you have either attempted to or talked about scaling Agile. Scaling has become synonymous with overburdened and cumbersome frameworks that create more problems than they solve. We need a simpler solution to the problem of scaling Agile.