Learn a modern approach to data analysis using Python to harness the power of programming and AI across your data. Detailed case studies bring this modern approach to life across visual data, social media, graph algorithms, and time series analysis.

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Though your application serves its purpose, it might not be a high performer. Learn techniques to accurately predict code efficiency, easily dismiss inefficient solutions, and improve the performance of your application.

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Blend the power of Qt with OpenCV to build cross-platform computer vision applications

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Implement reverse engineering techniques to analyze software, exploit software targets, and defend against security threats like malware and viruses.

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Enhance the power of NumPy and start boosting your scientific computing capabilities

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Explore TensorFlow's capabilities to perform efficient deep learning on images

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Master shell basics and Unix tools and discover easy commands to perform complex tasks with speed

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Use Visual Studio Code to write and debug code quickly and efficiently on any platform, for any device, using any programming language, and on the operating system of your choice.

Leverage the simplicity of Python and available libraries to build web security testing tools for your application

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Use Vagrant to easily build complete development environments

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• Implement DevOps with Vagrant effectively
• Integrate Vagrant with different tools such as Puppet, Chef, and Docker
• Manage infrastructure with a practical approach

Leverage the power of the popular Jupyter notebooks to simplify your data science tasks without any hassle

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