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Dive Into Python ペーパーバック – 2004/11/5
購入オプションとあわせ買い
Whether you're an experienced programmer looking to get into Python or grizzled Python veteran who remembers the days when you had to import the string module, Dive Into Python is your 'desert island' Python book.
― Joey deVilla, Slashdot contributor
As a complete newbie to the language…I constantly had those little thoughts like, 'this is the way a programming language should be taught.'
― Lasse Koskela , JavaRanch
Apress has been profuse in both its quantity and quality of releasesand (this book is) surely worth adding to your technical reading budget for skills development.
― Blane Warrene, Technology Notes
I am reading this ... because the language seems like a good way to accomplish programming tasks that don't require the low-level bit handling power of C.
― Richard Bejtlich, TaoSecurity
Python is a new and innovative scripting language. It is set to replace Perl as the programming language of choice for shell scripters, and for serious application developers who want a feature-rich, yet simple language to deploy their products.
Dive Into Python is ahands-on guide to the Python language. Each chapter starts with a real, complete code sample, proceeds to pick it apart and explain the pieces, and then puts it all back together in a summary at the end.
This is the perfect resource for you if you like to jump into languages fast and get going right away. If you're just starting to learn Python, first pick up a copy of Magnus Lie Hetland's Practical Python.
- 本の長さ436ページ
- 言語英語
- 出版社Apress
- 発売日2004/11/5
- 寸法17.81 x 2.51 x 23.5 cm
- ISBN-109781590593561
- ISBN-13978-1590593561
商品の説明
著者について
登録情報
- ASIN : 1590593561
- 出版社 : Apress; Softcover reprint of the original 1st版 (2004/11/5)
- 発売日 : 2004/11/5
- 言語 : 英語
- ペーパーバック : 436ページ
- ISBN-10 : 9781590593561
- ISBN-13 : 978-1590593561
- 寸法 : 17.81 x 2.51 x 23.5 cm
- カスタマーレビュー:
著者について
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In short, I use DIP in the same way that I use the abstracts of journal articles: it tells me everything I want to know 90% of the time and the other 10% of the time it tells me where to look to read more.
My background:
Aerospace Engineer, one single class in C++ programming, but currently out in the "real world" doing other work. I've taken up learning Python as a hobby because it's much more productive than C++ for fooling around. I've made plenty of Matlab, C++, and a few Java programs for things as various as finite element calculations and simple asci games. I wanted to learn a language that was easier to use for graphics and general computer tasks than any of the above mentioned languages, so I went for Python. I wanted to spend time in Lisp, but I was disappointed with the available software. Right now I'm using a Python (x,y) install and the Eclipse IDE.
This book is organized in very manageable chunks (chapters), which probably take an hour or two to read, understand, and program up. It is far easier to read than the other programming book I have used, which was Savitch's absolute c++. Having been through some programming before, I don't find the concepts in this book too difficult to grasp, as I already understood the idea of pointers. Others (new programmers) that are unaware of what pointers are may be confused by some of the concepts in this book. I can honestly say that if you do not understand what pointers/addresses are in computer languages to hold off on this book until you know a little more. I was able to make sure the IDE was configured properly and that it was looking for files in the right place because I've dealt with IDEs and compilers before and can generally stumble my way through getting them to cooperate. Someone new to programming might get hung up on things like this and get frustrated, as this book expects you to already be able to wrangle the necessary tools and just program.
This book teaches by example, and expects you to follow along. The only downside of this is it's not quite as good as a reference as it would have been if it was more thorough, but plenty of help can be found online about Python. Another minor issue is the author doesn't necessarily announce when he is providing an example with an imaginary module, so when you try to run the hypothetical example the interpreter doesn't recognize the module you are trying to import.
I love how this book jumps right into business, and I am very impressed with the way that it immediately gets into the power and capabilities of the language. He doesn't beat the concepts to death, but expects you to actually take the time to understand what is going on without an excessive amount of "let me repeat this 10 times because you're stooopid" and handholding.
I highly recommend that if you want to get into Python right away to grab this book, install Eclipse by itself or a distribution like Python(x,y) for scientific/engineering tasks, and start plugging away.