Bridge the gap between developer and data scientist by creating a modern open-source, Python-based toolset that works with Jupyter Notebook, and PixieDust.

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Learn the fundamentals of Python (3.7) and how to apply it to data science, programming, and web development. Fully updated to include hands-on tutorials and projects.

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Harness the power of Python objects and data structures to implement algorithms for analyzing your data and efficiently extracting information

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Explore various verticals in software engineering through high-end systems using Python

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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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A comprehensive guide to get started with Java and gain insights into major concepts such as object-oriented, functional, and reactive programming

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A series of practical recipes to simplify the Git learning experience and increase your productivity when using Git version control

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

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Leverage the features and libraries of Python to administrate your environment efficiently.

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Step-by-step instructions which take you through each program to automate monotonous tasks with Python 3.7

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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.

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

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