Video Training → Cisco Press - Architecting Blockchain Solutions [2018, ENG]
Published by: SceneP2P on 19-07-2018, 05:36 | 
0
![Cisco Press - Architecting Blockchain Solutions [2018, ENG]](https://img11.lostpic.net/2018/07/17/e1277f6d1558968638fd33901f97c9ee.jpg "Cisco Press - Architecting Blockchain Solutions [2018, ENG]")
Cisco Press - Architecting Blockchain Solutions [2018, ENG] | 13.31 GB
Architecting Blockchain Solutions LiveLessons covers blockchain basics, ledgers, and several use-case scenarios in detail. Learn the main technologies for supporting blockchain use cases and how these technologies work with other technologies. Joe Holbrook discusses use cases that cover financial, insurance, science, technology, and other industries that enable you to gain a full grasp of blockchain capabilities.
Office Tools → Neospeech TTS Voiсes v.3.11.70 x86/x64
Published by: SceneP2P on 19-07-2018, 03:39 | 0
Neospeech TTS Voiсes v.3.11.70 x86/x64 | 614 MB
Voice synthesizers (TTS engines) from the company-developer Neospeech Inc., allowing to pronounce aloud any text file on the computer (PC Win). If you have programs for reading documents and e-books that support the SpeechAPI 5 interface, you can hear the readable text in the appropriate language.
Video Training → Lynda - Practical Linux for Network Engineers: Part 1 [2018, ENG]
Published by: SceneP2P on 19-07-2018, 03:36 | 0
![Lynda - Practical Linux for Network Engineers: Part 1 [2018, ENG]](https://img11.lostpic.net/2018/07/16/27f474b9a68ca2177f86bef35f85c976.jpg "Lynda - Practical Linux for Network Engineers: Part 1 [2018, ENG]")
Lynda - Practical Linux for Network Engineers: Part 1 [2018, ENG] | 934 MB
Linux is a critical skill for network engineers. Many network operating systems use Linux, as do software-defined networking and DevOps tools such as OpenDaylight and Git. Don't get left behind. This course teaches Linux from the networking perspective, providing practical, hands-on lessons that are grounded in the fundamentals that network engineers need most.
Video Training → Pluralsight - Implementing a Self-hosted Docker Registry [2018, ENG]
Published by: SceneP2P on 19-07-2018, 03:33 | 0
![Pluralsight - Implementing a Self-hosted Docker Registry [2018, ENG]](https://i104.fastpic.ru/big/2018/0716/b8/7fdba5f54a65d789a4671ed8666e13b8.png "Pluralsight - Implementing a Self-hosted Docker Registry [2018, ENG]")
Pluralsight - Implementing a Self-hosted Docker Registry [2018, ENG] | 780 MB
What would Docker be without Docker Hub? If it were not for images, you would never have heard of Docker, and that's because simplifying image distribution is what made Docker exponentially useful.
Video Training → Pluralsight - Animate CC Building Custom HTML5 Components [2018, ENG]
Published by: SceneP2P on 19-07-2018, 03:31 | 0
![Pluralsight - Animate CC Building Custom HTML5 Components [2018, ENG]](https://i105.fastpic.ru/big/2018/0717/a0/75204b278c8740f4e9b230b7b58478a0.jpg "Pluralsight - Animate CC Building Custom HTML5 Components [2018, ENG]")
Pluralsight - Animate CC Building Custom HTML5 Components [2018, ENG] | 201 MB
Have you ever wanted to build your own custom HTML5 Canvas components for Animate CC? In this course, Animate CC Building Custom HTML5 Components, you'll learn how to use, develop, test, and distribute custom components specifically for use in HTML5 Canvas document types.
Video Training → Packtpub - Tensorflow Deep Learning Solutions for Images [2017, ENG]
Published by: SceneP2P on 19-07-2018, 03:29 | 0
![Packtpub - Tensorflow Deep Learning Solutions for Images [2017, ENG]](https://img11.lostpic.net/2018/07/16/5ddfdab6ff20d2c107549427e699f779.png "Packtpub - Tensorflow Deep Learning Solutions for Images [2017, ENG]")
Packtpub - Tensorflow Deep Learning Solutions for Images [2017, ENG] | 215 MB
Tensorflow is Google’s popular offering for machine learning and deep learning. It has quickly become a popular choice of tool for performing fast, efficient, and accurate deep learning. This course presents the implementation of practical, real-world projects, teaching you how to leverage Tensforflow’s capabilties to perform efficient deep learning.
