Sign up
Forgot password?
FAQ: Login

Zelle J.M. Python Programming: An Introduction to Computer Science

  • pdf file
  • size 2,12 MB
  • added by
  • info modified
Zelle J.M. Python Programming: An Introduction to Computer Science
2nd ed. — Franklin, Beedle & Associates Inc., 2010 — 415 p. — ISBN: 978159028241
To understand the respective roles of hardware and software in a computing system.
To learn what computer scientists study and the techniques that they use.
To understand the basic design of a modern computer.
To understand the form and function of computer programming languages.
To begin using the Python programming language.
To learn about chaotic models and their implications for computing.
  • Sign up or login using form at top of the page to download this file.
  • Sign up

See also

Details

Bader D. Python Tricks: A Buffet of Awesome Python Features

  • pdf
Dan Bader, 2017. — 299 p. — ISBN: 9781775093305; ISBN: 9781775093312. “I don’t even feel like I’ve scratched the surface of what I can do with Python” With Python Tricks: The Book you’ll discover Python’s best practices and the power of beautiful & Pythonic code with simple examples and a step-by-step narrative. You'll get one step closer to mastering Python, so you can write...
  • 1,30 MB
  • added
  • info modified
Details

Bowles M. Machine Learning in Python: Essential Techniques for Predictive Analysis

  • pdf
Wiley, 2015. — 360 p. — ISBN: 1118961749, 9781118961742 Learn a simpler and more effective way to analyze data and predict outcomes with Python Machine Learning in Python shows you how to successfully analyze data using only two core machine learning algorithms, and how to apply them using Python. By focusing on two algorithm families that effectively predict outcomes, this...
  • 13,35 MB
  • added
  • info modified
Details

Hetland M.L. Python Algorithms: Mastering Basic Algorithms in the Python Language

  • pdf
2nd ed. — Apress, 2014. — 303 p. — ISBN: 9781484200568. Python Algorithms, Second Edition explains the Python approach to algorithm analysis and design. Written by Magnus Lie Hetland, author of Beginning Python, this book is sharply focused on classical algorithms, but it also gives a solid understanding of fundamental algorithmic problem-solving techniques. The book deals with...
  • 4,73 MB
  • added
  • info modified
Details

Hilpisch Y. Python for Finance: Analyze Big Financial Data

  • pdf
NY: O’Reilly, 2014. — 596 p. The financial industry has adopted Python at a tremendous rate recently, with some of the largest investment banks and hedge funds using it to build core trading and risk management systems. This hands-on guide helps both developers and quantitative analysts get started with Python, and guides you through the most important aspects of using Python...
  • 13,11 MB
  • added
  • info modified
Details

Matthes E. Python Crash Course: A Hands-On, Project-Based Introduction to Programming

  • pdf
New York: No Starch Press, 2015. - 562 p. Python Crash Course is a fast-paced, thorough introduction to programming with Python that will have you writing programs, solving problems, and making things that work in no time. In the first half of the book, you'll learn about basic programming concepts, such as lists, dictionaries, classes, and loops, and practice writing clean and...
  • 5,38 MB
  • added
  • info modified
Details

Slatkin B. Effective Python: 59 Specific Ways to Write Better Python

  • pdf
N.Y.: Addison-Wesley, 2015. — 683 p. — ISBN: 978-0134034287. The Python programming language has unique strengths and charms that can be hard to grasp. Many programmers familiar with other languages often approach Python from a limited mindset instead of embracing its full expressivity. Some programmers go too far in the other direction, overusing Python features that can cause...
  • 12,27 MB
  • added
  • info modified
Up