Deep Learning Cookbook: Practical Recipes to Get Started Quickly
Deep learning doesn’t have to be intimidating. Until recently, this machine-learning method required years of study, but with frameworks such as Keras and Tensorflow, software engineers without a background in machine learning can quickly enter the field. With the recipes in this cookbook, you’ll learn how to solve...
Spark for Python Developers
Set up real-time streaming and batch data intensive infrastructure using Spark and Python
Deliver insightful visualizations in a web app using Spark (PySpark)
Inject live data using Spark Streaming with real-time events
Jump Start Git
Get a Jump Start on version control with Git today!
Most engineers we meet prefer Git over other distributed version control systems.
These systems let you store different versions of project files and directories, so you can roll back to an earlier one if something goes wrong. And since they're...
Git in Practice
Git in Practice is a collection of 66 tested techniques that will optimize the way you and your team manage your development projects. The book begins with a brief reminder of the core version control concepts you need when using Git and moves on to the high-value features you may not have explored...
Black Hat Python: Python Programming for Hackers and Pentesters
When it comes to creating powerful and effective hacking tools, Python is the language of choice for most security analysts. But just how does the magic happen?
In Black Hat Python, the latest from Justin Seitz (author of the best-selling Gray Hat Python), you'll explore the darker side of Python's...
Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython
Get complete instructions for manipulating, processing, cleaning, and crunching datasets in Python. Updated for Python 3.6, the second edition of this hands-on guide is packed with practical case studies that show you how to solve a broad set of data analysis problems effectively. You’ll learn the latest versions of pandas,...
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