Fabric is a Python library and command-line tool for streamlining the use of SSH for application deployment or systems administration tasks. Fabric is very simple and powerful and can help to automate repetitive command-line tasks. This approach can save time by automating your entire workflow.

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With TensorFlow, one of the most popular machine learning frameworks available today, you can easily create and train deep models—also commonly referred to as deep feed-forward neural networks—that can solve a variety of complex problems, such as image classification, object detection, and natural language comprehension. TensorFlow Mobile is a library designed to help you leverage those models in your mobile apps.

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This tutorial will give an introduction to sockets in Python and how to use the socket module to build HTTP servers and clients in Python. It will also cover Tornado, a Python networking library which is ideal for long polling, WebSockets, and other applications that require a long-lived connection to each user.

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Data visualization is a way to understand large chunks of data. Certain trends and patterns might go unnoticed in text based format, so data visualization makes it easier to understand what the data is trying to say by visualizing it using different charts.

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Most complex tasks in Python can be broken down into simpler subtasks. Recursion helps to achieve this, hence making the code clean and neat. This tutorial will introduce recursion, the benefits of recursion, and how to use it in Python programming.

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Python is one of the friendliest yet most powerful languages out there. It is easy for beginners to pick up, yet packs a strong punch and is used extensively in diverse domains such as scientific programming, web application programming, and DevOps. But one of the weakest points of Python has been its support for packaging complex applications and their dependencies.

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The multiprocessing package supports spawning processes using an API similar to the threading module. It also offers both local and remote concurrency. This tutorial will discuss multiprocessing in Python and how to use multiprocessing to communicate between processes and perform synchronization between processes, as well as logging.

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