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Introducing Python: Modern Computing in Simple Packages, by Bill Lubanovic
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Easy to understand and fun to read, Introducing Python is ideal for beginning programmers as well as those new to the language. Author Bill Lubanovic takes you from the basics to more involved and varied topics, mixing tutorials with cookbook-style code recipes to explain concepts in Python 3. End-of-chapter exercises help you practice what you’ve learned.
You’ll gain a strong foundation in the language, including best practices for testing, debugging, code reuse, and other development tips. This book also shows you how to use Python for applications in business, science, and the arts, using various Python tools and open source packages.
- Learn simple data types, and basic math and text operations
- Use data-wrangling techniques with Python’s built-in data structures
- Explore Python code structure, including the use of functions
- Write large programs in Python, with modules and packages
- Dive into objects, classes, and other object-oriented features
- Examine storage from flat files to relational databases and NoSQL
- Use Python to build web clients, servers, APIs, and services
- Manage system tasks such as programs, processes, and threads
- Understand the basics of concurrency and network programming
- Sales Rank: #28785 in Books
- Published on: 2014-12-04
- Original language: English
- Number of items: 1
- Dimensions: 9.17″ h x .96″ w x 7.01″ l, .0 pounds
- Binding: Paperback
- 484 pages
About the Author
Bill Lubanovic has developed software with UNIX since 1977, GUIs since 1981, databases since 1990, and the Web since 1993.
At a startup named Intran in 1982, he developed MetaForm — one of the first commercial GUIs (before the Mac or Windows), on one of the first graphic workstations. At Northwest Airlines in the early 1990s, he wrote a graphic yield management system that generated millions of dollars in revenue; got the company on the Internet; and wrote its first Internet marketing test. He co-founded an ISP (Tela) in 1994, and a web development company (Mad Scheme) in 1999.
Recently, he developed core services and distributed systems with a remote team for a Manhattan startup. Currently, he’s integrating OpenStack services for a supercomputer company.
He enjoys life in Minnesota with his wonderful wife Mary, children Tom and Karin, and cats Inga, Chester, and Lucy.
Most helpful customer reviews
26 of 26 people found the following review helpful.
Insightful and fast-paced intro to Python
By A. Ali
This is an insightful and fast-paced intro to Python, written by an experienced master coder. It’s written for coders (unlike the plethora of basic Python books on the market). The very first chapter presents a non-trivial 9-line Python program that pulls and prints top-rated videos from the Youtube site (the code works). The book covers many of the language features as well as areas such as web programming, databases, and concurrency. The book is a pleasure to browse through: an intelligent and informed writer writing for an intelligent readership. After reading this book one will be ready for Wesley Chun’s “Core Python Applications Programming.”
38 of 40 people found the following review helpful.
Well written but with some serious errors
By Tim in St. Louis
I’ve just started reading, and already I’ve encountered a pretty big error regarding substring indexing on page 33. Be sure to check the errata as you progress through this book.
34 of 38 people found the following review helpful.
An Edible Introduction to Python
By Alfredzo Nash
Review of “Introducing Python” By Bill Lubanovic
Reviewed by Alfredzo Nash, Fairfield County Area Datto Linux User Group.
“Introducing Python” by Bill Lubanovic is an edible recipe for learning Python. I had limited exposure to Python (I completed 50% of the Codecademy training) prior to reading “Introducing Python”. Lubanovic is ab iron chef that has written this delectable book.
Beginning with Chapters 1-5 (1. A Taste of Python, 2. Python Ingredients, 3. PyFilling, 4. PyCrust, and 5. PyBoxes), the reader starts to build their mental palate using a small cookbook style dialog for making an actual pie! This was very informative and one of the best analogies within the book. Lubanovic skillfully separates the importance of data structure such as list, dictionaries, tuples, and set from code structure (commenting, if elif else, utf-8 encoding, pep, etc.) which allowed me to become familiar with the essential building blocks of the Python language. “Introducing Python” is a very definitive guide to what makes Python a valuable and powerful language. Since Python 2.7’s end-of-life is scheduled in 2020, Lubanovic encouraged Pythonistas to begin writing Python code using Python 3 instead of 2.7. Being relatively new to the language, I couldn’t resist the urge to discover more about the differences between the two versions. At the time of this writing, there are still subtle differences between Python 2.7 and Python 3. The changes include how to call the print() function, and the handling of Unicode characters. Most of the differences between version 2.7 and 3.0 can be found at https://wiki.python.org/moin/Python2orPython3.
Unfortunately, Chapters 6-9 (6. Oh Oh: Objects and Classes, 7. Mangle Data Like a Pro, 8. Data Has to Go Somewhere, 9. The Web Untangled) proved difficult for me to comprehend due to my inexperience. Lubanovic attempts to ease the reader into this section skillfully in Chapter 6, with analogies such as “In Chapter 1, I compare an object to a plastic box. A class is like the mold that makes that box.” I couldn’t agree with this analogy as I had to learn the complex object-oriented terminology, like polymorphism, instantiation and inheritance, discussed throughout this chapter.
Chapters 7-8 puts “Introducing Python” into high gear. I did not take the term “Pro” lightly within this section. Essentially, I now understand why data scientist, forensic analysts, cloud engineers, and automation engineers consider Python for their projects. Data can take many forms that include text strings, ASCII or binary. These types of data need to be written, read, encoded, decoded and stored properly. Lubanovic clearly conveyed the message that data should be handled with precision. UTF-8 encoding, byte arrays, and matching regular expression all took some time for me to understand. There are tons of options that include storing data between RAM, CSVs, JSON, or SQL and NoSQL Databases. Both mangling and storing data requires a certain level of mastery that has convinced me to keep Introducing Python as a reminder to sharpen my skills in this area of expertise.
Chapters 9-12 (9.The Web, Untangled, 10. Systems, 11. Concurrency and Networks,12. Be a Pythonista), are my favorite chapters in Introducing Python. Chapter 9 explains how Python’s standard Web libraries handle the various components of the Web. It describes mainly the http and urlib packages, but also makes notable references to web frameworks such as Bottle and Flask. Chapter 10 dived into how Python handles files, directories, processes and time using the os (Operating System) module. The os module contains the functions copy(),chown(), remove(), mkdir(),rmdir() and many more that operate the same way as their Linux/UNIX counterparts. Chapter 11 reinforces Chapter 10’s section on process management via the os module and using multiprocessing. Diving deeper into the concurrency standard library (http://bit.ly/concur-lib) within Python, Lubanovic discusses the differences between queues, process, and threads, as well as the tools to manage them on a single machine or multiple machines. Noticabley, Redis, gevent, asyncio, and twisted are mentioned as additional tools that handle concurrency within Python as well. In the Networks section, Lubanovic explores the plumbing provided by the numerous Internet Services supported within Python. TCP/IP, Sockets, Web APIs (fabric), RPCs and Message Brokers (RabbitMQ /ZeroMQ) are all covered in great detail. This chapter is an invaluable resource for anyone interested in gaining a more in-depth knowledge of how use Python to manage concurrency across distributed systems and networks. Chapter 12 sets the example for ALL Python users, by encouraging them to “Be A Pythonista”. Noticeably, Being a Pythonista is no small task. The requirements consist of: Finding Code, Installing Packages, Documenting Your Code, Testing Your code, Optimizing your code, and Managing your code via Source Controlâ€¦ Whew… Humbly, I accept this challenge and hope to become a proficient Pythonista and encourage everyone interested in Python to do the same.
In closing, Introducing Python was remarkable read for me. I recommend studying this book and holding onto for future reference in real-world scenarios.
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