By David Brueck
This publication is perfect for those who have programmed in different programming languages.
It begins with a piece entitled "Python in an Hour", which takes you thru all the key innovations of Python, prior to relocating directly to an entire reference of the Python language.
The closing chapters run via with reference to every thing you may are looking to do with the language, from the fundamentals reminiscent of strings, dossier I/O and ordinary expressions via to databases, XML and graphics.
Remember for those who do like what you've obvious then do an online seek and purchase the book.
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Google and YouTube use Python simply because it's hugely adaptable, effortless to keep up, and enables swift improvement. so that it will write top quality, effective code that's simply built-in with different languages and instruments, this hands-on e-book can help you be effective with Python quick -- even if you're new to programming or simply new to Python.
An booklet to coach programming via hands-on, attention-grabbing examples which are valuable and fun!
Python is a smart programming language. It's unfastened, strong, more straightforward to learn than such a lot languages, and has extensions on hand to do nearly whatever you'll think automatically.
But how do you definitely use it? There are lots of assets in the market for studying Python, yet none of them are very functional or attention-grabbing - as an alternative, they move over every one notion one after the other, by no means tying whatever jointly, yet spending lots of time misplaced in technical language, discussing the twenty alternative ways to complete every one easy job. ..
I are looking to write an publication that eventually offers a concise advent to every little thing it's possible you'll truly are looking to do with Python.
We'll commence with a short yet thorough evaluate of the entire fundamentals, so that you don't even want any previous event with programming. however the majority of the ebook might be spent increase instance code to resolve fascinating real-world problems.
Python is astounding for automating repetitive projects that would in a different way take you hours - for example, fast accumulating facts from the net, or renaming hundreds and hundreds of documents. the various themes that I'm making plans to cover:
Collecting information from webpages (web scraping)
Interacting with PDF documents - analyzing information, growing PDFs, editing pages, including passwords. ..
Interacting with Excel documents (less performance in OS X)
Calling different open air courses from inside of Python
Files - read/write/modify, unzip, rename, stream, etc.
Basic online game development
Interacting with SQL databases (internal and ODBC connections)
GUI (Graphical person Interface) layout - growing easy point-and-click courses that any one can use
Any different issues that you simply, my backers, are so much in!
Update: by way of renowned call for, I'll be including internet program development
All similar direction fabrics downloadable at: http://www. psychotix. com/share/Real_Python. zip
Python Algorithms explains the Python method of set of rules research and layout.
Written by way of Magnus Lie Hetland, writer of starting Python, this publication is sharply enthusiastic about classical algorithms, however it additionally provides an effective figuring out of basic algorithmic problem-solving innovations.
The e-book bargains with essentially the most vital and hard parts of programming and computing device technology, yet in a hugely pedagogic and readable manner.
The booklet covers either algorithmic concept and programming perform, demonstrating how concept is mirrored in actual Python programs.
Well-known algorithms and knowledge constructions which are equipped into the Python language are defined, and the person is proven the right way to enforce and review others himself.
Basic trying out methodologies utilized to the preferred Python language
Testing Python; utilizing Unit trying out, TDD, BDD and attractiveness checking out is the main entire publication to be had on checking out for one of many most sensible software program programming languages on the planet. Python is a average selection for brand spanking new and skilled builders, and this hands-on source is a far wanted consultant to enterprise-level trying out improvement methodologies. The e-book will exhibit you why Unit trying out and TDD can result in purifier, extra versatile programs.
Unit trying out and Test-Driven improvement (TDD) are more and more must-have talents for software program builders, it doesn't matter what language they paintings in. In firm settings, it's severe for builders to make sure they consistently have operating code, and that's what makes checking out methodologies so beautiful. This booklet will train you the main ordinary checking out thoughts and may introduce to you to nonetheless others, protecting functionality checking out, non-stop trying out, and more.
Learn Unit trying out and TDD—important improvement methodologies that lie on the center of Agile development
Enhance your skill to paintings with Python to advance strong, versatile functions with fresh code
Draw at the services of writer David Sale, a number one united kingdom developer and tech commentator
Get sooner than the group through learning the underappreciated international of Python testing
Knowledge of software program trying out in Python may well set you except Python builders utilizing outdated methodologies. Python is a traditional healthy for TDD and trying out Python is a must-read textual content for someone who desires to strengthen services in Python programming.
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Additional info for Python 2.1 Bible
Part V: Advanced Python Programming . . . . . . 456 457 458 458 458 460 461 461 462 462 463 465 Chapter 25: Processing Images . . . . . . . . . . . 467 Image Basics . . . . . . . . . . Identifying Image File Types .
497 497 498 499 500 500 500 501 502 502 503 505 505 506 507 507 509 509 510 510 511 511 512 512 513 Chapter 28: Security and Encryption .
538 539 540 541 541 541 542 542 543 546 546 549 550 Chapter 30: Embedding the Python Interpreter . . . . . . 553 Tracking Reference Counts .