Practical Programming: An Introduction to Computer Science Using Python (Pragmatic Programmers)

Computers are used in every part of science from ecology to particle physics. This introduction to computer science continually reinforces those ties by using real-world science problems as examples. Anyone who has taken a high school science class will be able to follow along as the book introduces the basics of programming, then goes on to show readers how to work with databases, download data from the web automatically, build graphical interfaces, and most importantly, how to think like a professional programmer. Topics covered include: * Basic elements of programming from arithmetic to loops and if statements. * Using functions and modules to organize programs. * Using lists, sets, and dictionaries to organize data. * Designing algorithms systematically. * Debugging things when they go wrong. * Creating and querying databases. * Building graphical interfaces to make programs easier to use. * Object-oriented programming and programming patterns.

User review
Great Book for My Return to Programming
I had not programmed for 30 years and wanted to do a bit for a small project. After trying several Python books I found this one. I suspect that no one programming book will appeal to all, but this one was a great book to get me started again. Well-written. Good examples. Clear explanations.

User review
A fine 'first timers' pick for any computer or general lending library
PRACTICAL PROGRAMMING: AN INTRODUCTION TO COMPUTER SCIENCE USING PYTHON provides an invaluable guide to the basics of computer programming, allowing those with a bare-bones introduction to learn programming fundamentals, working with databases, downloading data, and more. From using functions to debugging systems and designing algorithms, this covers all the essentials and is a fine 'first timers' pick for any computer or general lending library.

User review
A Superior Introduction to Computer Science & Data Structures Using Python
As a result of superior pedagogy and a language that includes built in features like lists and dictionaries, and a standard library that comes with everything; this instructional book provides an introduction to Computer Science and Data Structures which excels using the modern programming language Python. This text is much more than a learn to program in `XXX` book, it gives a firm foundation for all subsequent courses in Computer Science and practical examples of how Data Structures are employed in real world problems involving graphics and databases. It also gives the necessary demonstrations of algorithms for Searching and Sorting, and a modern introduction to Object-Oriented programming.

In short, this volume provides an excellent foundation text in Computer Science, while incorporating instruction in the Python Language and giving practical examples of how to employ the Algorithms and Data Structures in real-world situations. It will give the student a strong basis for all further study in Computer Science and Programming.