Packt Publishing 2017 07 21 (5 results)

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Metasploit for Beginners: Create a threat-free environment with the best-in-class tool
Sagar Rahalkar
Language: English
Published by Packt Publishing 2017-07-21, 2017
1788295978 / 9781788295970
- Softcover
Seller: Chiron Media, Wallingford, United KingdomChiron Media
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£ 31.04
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Performance Testing with JMeter 3 - Third Edition: Enhance the performance of your web application
Bayo Erinle
Language: English
Published by Packt Publishing 2017-07-21, 2017
1787285774 / 9781787285774
- Softcover
Seller: Chiron Media, Wallingford, United KingdomChiron Media
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Implementing DevOps with Ansible 2: A step-by-step guide to automating all DevOps stages with ease using Ansible
Jonathan McAllister
Language: English
Published by Packt Publishing 2017-07-21, 2017
1787120538 / 9781787120532
- Softcover
Seller: Chiron Media, Wallingford, United KingdomChiron Media
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Cloud Native Python: Build and deploy resilent applications on the cloud using microservices, AWS, Azure and more
Manish Sethi
Language: English
Published by Packt Publishing 2017-07-21, 2017
1787129314 / 9781787129313
- Softcover
Seller: Chiron Media, Wallingford, United KingdomChiron Media
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Statistics for Machine Learning: Techniques for exploring supervised, unsupervised, and reinforcement learning models with Python and R
Pratap Dangeti
Language: English
Published by Packt Publishing 2017-07-21, 2017
1788295757 / 9781788295758
- Softcover
Seller: Chiron Media, Wallingford, United KingdomChiron Media
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Packt Publishing 2017 07 21 (5 results)

Metasploit for Beginners: Create a threat-free environment with the best-in-class tool

Performance Testing with JMeter 3 - Third Edition: Enhance the performance of your web application

Implementing DevOps with Ansible 2: A step-by-step guide to automating all DevOps stages with ease using Ansible

Cloud Native Python: Build and deploy resilent applications on the cloud using microservices, AWS, Azure and more

Statistics for Machine Learning: Techniques for exploring supervised, unsupervised, and reinforcement learning models with Python and R