Supercharged Python

According to Stack Overflow, Python has a solid claim to being the fastest-growing major programming language.  (Due in some measure to the rich set of machine learning and data science libraries and frameworks available to Python coders.)
Python is a widely used high-level programming language for general-purpose programming, created by Guido van Rossum and first released in 1991. An interpreted language, Python has a design philosophy that emphasizes code readability (notably using whitespace indentation to delimit code blocks rather than curly brackets or keywords), and a syntax that allows programmers to express concepts in fewer lines of code than might be used in languages such as C++ or Java. It provides constructs that enable clear programming on both small and large scales.
Python is a multi-paradigm programming language. Object-oriented programming and structured programming are fully supported, and many of its features support functional programming and aspect-oriented programming. Rather than having all of its functionality built into its core, Python was designed to be highly extensible.
This text is intended for a second course on Python, to enable students who have a basic understanding of Python to take their programming skills to the next level. Areas covered include: writing for run-time efficiency; lambda functions and when to use them; versioning issues; understanding Unicode and localization; regular expressions; binary operators and how to use them; converting between radixes; complete rules for every aspect of data formatting; creating, building, and importing packages; using the Django web-development package; graphics programming; fine points of object orientation with “magic methods”; and reading and writing binary files.   Breaks advanced topics down to their essentials, illustrating them with simple examples and practical exercises Covers runtime efficiency, lambda functions, regex, binary operators, advanced data formatting, packages, Django, graphics, magic methods, binary files, and more Deepens your insight by illuminating design decisions and tricks behind each language feature Includes challenging projects to showcase Python’s power Instructors can access additional examples, exercises, and resources All you need to learn advanced Python programming -- patiently explained and clearly illustrated with simple examples Picks up where Brian Overland’s Python Without Fear left off, covering more advanced topics and practices Breaks advanced topics down to their essentials, illustrating them with simple examples and practical exercises Covers runtime efficiency, lambda functions, regex, binary operators, advanced data formatting, packages, Django, graphics, magic methods, binary files, and more Deepens your insight by illuminating design decisions and tricks behind each language feature Includes challenging projects to showcase Python’s power Instructors can access additional examples, exercises, and resources