The fast and easy way to learn Python programming and statistics
Python is a general-purpose programming language created in the late 1980s?and named after Monty Python?that's used by thousands of people to do things from testing microchips at Intel, to powering Instagram, to building video games with the...
* * * This is the old edition! The new edition is under the title "Cracking Codes with Python" by Al Sweigart * * *
Hacking Secret Ciphers with Python not only teaches you how to write in secret ciphers with paper and pencil. This book teaches you how to write your own cipher programs and also the hacking programs that...
Automation systems, often referred to as SCADA systems, involve programming at several levels; these systems include computer type field controllers that monitor and control plant equipment such as conveyor systems, pumps, and user workstations that allow the user to monitor and control the equipment through color graphic displays. All of the...
This book is intended to survey the most important algorithms in use on computers today and to teach fundamental techniques to the growing number of people who are interested in becoming serious computer users. It is appropriate for use as a textbook for a second, third or fourth course in computer science: after students have...
Learning DATABASE fundamentals just got a whole lot EASIER!
Now you can design, build, and manage a fully functional database with ease. Thoroughly updated to cover the latest technologies and techniques, Databases Demystified, Second Edition gives you the hands-on help you need to get started.
Can you deliver 90% of your software on time, within budget, and fully meet the user's real requirements? Would you like to? Best-selling author Steve McConnell provides a compelling argument for turning software success into an everyday habit by advancing the software profession itself-at the individual, organizational, and...
Introducing Data Science teaches you how to accomplish the fundamental tasks that occupy data scientists. Using the Python language and common Python libraries, you'll experience firsthand the challenges of dealing with data at scale and gain a solid foundation in data science.
