By Steven Lott
ISBN-10: 1784396990
ISBN-13: 9781784396992
Key Features
- Implement universal useful programming layout styles and methods in Python
- Learn the right way to make a choice from critical and practical techniques according to expressiveness, readability, and performance
- Apply useful Python to universal Exploratory info research (EDA) programming problems
- Use Python's generator services and generator expressions to paintings with collections in a non-strict (or lazy) manner
- Utilize Python library modules together with itertools, functools, multiprocessing, and concurrent.futures for effective sensible programs
- Use Python strings with object-oriented suffix notation and prefix notation
- Avoid stateful periods via using households of tuples
- Design and enforce decorators to create composite functions
- Use services like max(), min(), map(), filter(), and sorted()
- Write complicated higher-order functions
[/list]
Book Description
Python’s easy-to-learn and extensible talents provide a couple of sensible programming gains so that you can deliver into your workflow, in particular within the realm of information science.
If you’re a Python developer who desires to notice tips on how to take the ability of practical programming and convey it into your personal courses then this booklet is vital for you, no matter if you recognize subsequent to not anything concerning the paradigm. beginning with a basic review of useful techniques you’ll discover universal sensible positive factors corresponding to top quality and higher-order features, natural services and extra, and the way those are finished in Python to provide you the center foundations you’ll construct upon. After that, you’ll detect universal useful optimizations for Python to assist your apps succeed in even larger speeds. You'll additionally discover facts training thoughts and knowledge exploration extensive, besides studying how the Python commonplace library suits the useful programming version. ultimately, to stock up your trip into the realm of functionality Python you’ll at examine the PyMonad undertaking and a few greater examples to place every little thing into perspective.
With practical Python Programming via your aspect you’ll comprehend the center ideas of functionality Python, its effect at the programming workflow, and the way to enforce it in Python, providing you with the facility to take your purposes to a fair larger level.
What you are going to learn
[list]
About the Author
Steven F. Lott has been programming because the 70s, while pcs have been huge, pricey, and infrequent. As a freelance software program developer and architect, he has labored on enormous quantities of tasks, from very small to huge. He's been utilizing Python to resolve enterprise difficulties for over 10 years.
Table of Contents
- Introducing useful Programming
- Introducing a few useful Features
- Functions, Iterators, and Generators
- Working with Collections
- Higher-order Functions
- Recursions and Reductions
- Additional Tuple Techniques
- The Itertools Module
- More Itertools Techniques
- The Functools Module
- Decorator layout Techniques
- The Multiprocessing and Threading Modules
- Conditional Expressions and the Operator Module
- The Pymonad Library
- A useful method of internet Services
- Optimizations and Improvements
Read Online or Download Functional Python Programming PDF
Best python books
Learning Python: Powerful Object-Oriented Programming (4th Edition)
Google and YouTube use Python simply because it's hugely adaptable, effortless to keep up, and permits swift improvement. on the way to write top quality, effective code that's simply built-in with different languages and instruments, this hands-on booklet may help you be effective with Python speedy -- even if you're new to programming or simply new to Python.
Real Python: An Introduction to Python Through Practical Examples
An ebook to educate programming via hands-on, attention-grabbing examples which are invaluable and fun!
Python is a smart programming language. It's unfastened, robust, more uncomplicated to learn than so much languages, and has extensions to be had to do virtually whatever you'll think automatically.
But how do you certainly use it? There are lots of assets available in the market for studying Python, yet none of them are very sensible or attention-grabbing - as an alternative, they cross over each 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 each one easy activity. ..
I are looking to write an book that at last offers a concise advent to every little thing chances are you'll truly are looking to do with Python.
We'll commence with a brief yet thorough evaluation of the entire fundamentals, so that you don't even want any past event with programming. however the majority of the e-book might be spent increase instance code to resolve attention-grabbing real-world problems.
Python is astounding for automating repetitive projects that will another way take you hours - for example, fast collecting facts from the net, or renaming enormous quantities of records. many of the issues that I'm making plans to cover:
Collecting info from webpages (web scraping)
Interacting with PDF records - analyzing information, growing PDFs, enhancing 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, circulate, etc.
Basic video game development
Interacting with SQL databases (internal and ODBC connections)
GUI (Graphical person Interface) layout - developing easy point-and-click courses that any one can use
Any different themes that you just, my backers, are such a lot in!
Update: by means of renowned call for, I'll be including net software development
All similar direction fabrics downloadable at: http://www. psychotix. com/share/Real_Python. zip
Python Algorithms: Mastering Basic Algorithms in the Python Language
Python Algorithms explains the Python method of set of rules research and layout.
Written through Magnus Lie Hetland, writer of starting Python, this ebook is sharply occupied with classical algorithms, however it additionally provides an outstanding realizing of primary algorithmic problem-solving strategies.
The e-book offers with one of the most vital and tough parts of programming and computing device technology, yet in a hugely pedagogic and readable manner.
The e-book covers either algorithmic conception and programming perform, demonstrating how conception is mirrored in genuine Python programs.
Well-known algorithms and knowledge constructions which are equipped into the Python language are defined, and the person is proven the best way to enforce and evaluation others himself.
Testing Python: Applying Unit Testing, TDD, BDD and Acceptance Testing
Basic trying out methodologies utilized to the preferred Python language
Testing Python; utilising Unit trying out, TDD, BDD and recognition checking out is the main entire e-book on hand on checking out for one of many most sensible software program programming languages on this planet. Python is a average selection for brand spanking new and skilled builders, and this hands-on source is a miles wanted advisor to enterprise-level trying out improvement methodologies. The e-book will express you why Unit checking out and TDD can result in cleanser, extra versatile programs.
Unit checking 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 regularly have operating code, and that's what makes checking out methodologies so appealing. This e-book will educate you the main normal trying out options and should introduce to you to nonetheless others, overlaying functionality trying out, non-stop checking 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 boost robust, versatile purposes with fresh code
Draw at the services of writer David Sale, a number one united kingdom developer and tech commentator
Get prior to the group by means of gaining knowledge of the underappreciated global of Python testing
Knowledge of software program checking out in Python may possibly set you except Python builders utilizing outdated methodologies. Python is a typical healthy for TDD and trying out Python is a must-read textual content for someone who desires to enhance services in Python programming.
- Python 3 for Absolute Beginners
- Learning Python Application Development
- Soil Physics with Python: Transport in the Soil-Plant-Atmosphere System
- Think Complexity: Complexity Science and Computational Modeling
- Learning Selenium Testing Tools with Python
Extra info for Functional Python Programming
Example text
The second evaluation of the sum() method found that the generator was now empty. We can only consume the values once. Generators have a stateful life in Python. While they're very nice for some aspects of functional programming, they're not quite perfect. tee() method to overcome the once-only limitation. We'll look at this in depth in Chapter 8, The Itertools Module. tee(iterable, 2) return max(max_tee), min(min_tee) We created two clones of the parameter generator expression, max_tee() and min_tee().
0207440659869462 In this case, there's some benefit in working from left to right. What's important for functional design is the idea that the + operator (or add() function) can be used in any order to produce the same results. The + operator has no hidden side effects that restrict the way this operator can be used. The stack of turtles When we use Python for functional programming, we embark down a path that will involve a hybrid that's not strictly functional. Python is not Haskell, OCaml, or Erlang.
In the next chapter, we'll look at the core concepts of pure functions and how these fit with Python's built-in data structures. Given this foundation, we can look at higher-order functions available in Python and how we can define our own higher-order functions. [ 36 ] Functions, Iterators, and Generators The core of functional programming is the use of pure functions to map values from the input domain to the output range. A pure function has no side effects, a relatively easy threshold for us to achieve in Python.