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 d 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.
Practical Programming: An Introduction to Computer Science Using Python
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 d 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.
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53 review for Practical Programming: An Introduction to Computer Science Using Python
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Rachel Smalter Hall –
There are definitely a few quirks, gaps and mistakes in this first edition, but I'm a first-time computer programmer and found Practical Programming pretty accessible. They also make an effort to include cute examples about bunnies and babies to make the experience as painless as possible. There are definitely a few quirks, gaps and mistakes in this first edition, but I'm a first-time computer programmer and found Practical Programming pretty accessible. They also make an effort to include cute examples about bunnies and babies to make the experience as painless as possible.
Tanner Welsh –
Well structured overview of essential programming concepts and common logic. A good primer for anyone interested in learning to code, especially in Python. Most of the chapters cover topics that are applicable to other high-level languages, but there are some Python-specific parts as well.
Rahul Gupta –
Great book to start off programming with Python. It describes in details the thought process of writing good programs that don't only work well but are also easy to read by other programmers. Great resource. Great book to start off programming with Python. It describes in details the thought process of writing good programs that don't only work well but are also easy to read by other programmers. Great resource.
Anittah –
Per Brian T., I should see also http://www.youtube.com/watch?v=k6U-i4... Per Brian T., I should see also http://www.youtube.com/watch?v=k6U-i4...
Parva Chhantyal –
If you are new in Python, this book is for you :).
Wudongnoodles –
good for starters
Wendelle –
the professors are kind and adept at surmising student difficulties, but the fact remains computer science is still very difficult to hurdle. you have to meditate on every word carefully just to comprehend the reason and purpose of the program, and later on in creating your own programs you have to develop a mindset that produces both logical streamlining and clean design. This makes computer programming a heavy feat that goes beyond relying on cookie-cutter algorithms.
Evgeniy Pogrebnyak –
Great short text It is hard to find a"perfect" software book, any choice is subjective. What matters time in this kind of reading is practical value - can take some advice directly to your work, accessibility - you understand what is going on in the text and trust in authors that they know exactly what is needed to say without overwhelming you. I had the book sitting for a while in kindle, but I'm glad I got back reading it, it was a worthwhile cause. Great list of references. Fully endorse this Great short text It is hard to find a"perfect" software book, any choice is subjective. What matters time in this kind of reading is practical value - can take some advice directly to your work, accessibility - you understand what is going on in the text and trust in authors that they know exactly what is needed to say without overwhelming you. I had the book sitting for a while in kindle, but I'm glad I got back reading it, it was a worthwhile cause. Great list of references. Fully endorse this book.
Joe –
Mostly useful as a quick Python syntax reference, and as a good source for real-world practice problems ("Sort the DNA strings in a list" and "emulate traffic patterns in a grid with variables for different conditions" being two notable examples). Not a particularly deep reference, but there is some good stuff to be found here. I'd imagine most competent programmers (read: not me) would finish most of these problems in a few hours. Mostly useful as a quick Python syntax reference, and as a good source for real-world practice problems ("Sort the DNA strings in a list" and "emulate traffic patterns in a grid with variables for different conditions" being two notable examples). Not a particularly deep reference, but there is some good stuff to be found here. I'd imagine most competent programmers (read: not me) would finish most of these problems in a few hours.
Hung –
This is a good book for beginner or who has a little experience in programming. Each chapter introduce and explain good enough for definitions, data structures, and why Python has those. I recommend reading this book carefully to whom are new and start to study programming. For those who are familiar with at least 2 programming languages, I suggest skimming each chapter quickly and do all the exercises after. It will help you familiar with Python later.
Alan –
http://dobbscodetalk.com/index.php?op... http://dobbscodetalk.com/index.php?op...
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