In this workshop we'll learn how to transform complex, highly coupled code into a simpler, more readable and maintainable shape. We'll target known software anomalies with Refactoring Patterns, following steps with a confined scope, assuring that we stay distant from "changed everything" commits while achieving quick design improvements.
We'll talk different solutions for Fat Models, God Objects, long method chains, NoMethodError on nils, long methods, bad naming and cold coffee.
Slides presented in RailsConf 2014.
PLOTCON NYC: Behind Every Great Plot There's a Great Deal of WranglingPlotly
If you are struggling to make a plot, tear yourself away from stackoverflow for a moment and ... take a hard look at your data. Is it really in the most favorable form for the task at hand? Time and time again I have found that my visualization struggles are really a symptom of unfinished data wrangling. R has long had excellent facilities for data aggregation or "split-apply-combine": split an object into pieces, compute on each piece, and glue the result back together again. Recent developments, especially in the purrr package, have made "split-apply-combine" even easier and more general. But this requires a certain comfort level with lists, especially with lists that are columns inside a data frame. This is unfamiliar to most of us. I give an overview of this set of problems and match them up with solutions based on grouped, nested, and split data frames.
PLOTCON NYC: Behind Every Great Plot There's a Great Deal of WranglingPlotly
If you are struggling to make a plot, tear yourself away from stackoverflow for a moment and ... take a hard look at your data. Is it really in the most favorable form for the task at hand? Time and time again I have found that my visualization struggles are really a symptom of unfinished data wrangling. R has long had excellent facilities for data aggregation or "split-apply-combine": split an object into pieces, compute on each piece, and glue the result back together again. Recent developments, especially in the purrr package, have made "split-apply-combine" even easier and more general. But this requires a certain comfort level with lists, especially with lists that are columns inside a data frame. This is unfamiliar to most of us. I give an overview of this set of problems and match them up with solutions based on grouped, nested, and split data frames.
Elixir & Phoenix – fast, concurrent and explicitTobias Pfeiffer
Elixir and Phoenix are known for their speed, but that’s far from their only benefit. Elixir isn’t just a fast Ruby and Phoenix isn’t just Rails for Elixir. Through pattern matching, immutable data structures and new idioms your programs can not only become faster but more understandable and maintainable. This talk will take a look at what’s great, what you might miss and augment it with production experience and advice.
Elixir & Phoenix – fast, concurrent and explicitTobias Pfeiffer
Elixir and Phoenix are known for their speed, but that’s far from their only benefit. Elixir isn’t just a fast Ruby and Phoenix isn’t just Rails for Elixir. Through pattern matching, immutable data structures and new idioms your programs can not only become faster but more understandable and maintainable. This talk will take a look at what’s great, what you might miss and augment it with production experience and advice.
Simulation of how funding formula for UK universities creates disparities between institutions over time. See blogpost The Matthew Effect and REF2014 on http://deevybee.blogspot.co.uk/.
R script to accompany blogpost
http://deevybee.blogspot.co.uk/2013/06/interpreting-unexpected-significant.html
Generates random normal numbers to simulate ERP data. Used to demonstrate how false positive rate depends on N factors in ANOVA.
Simply Business is starting to look into new tools to improve some of our mission-critical systems. There is one application, which would hugely benefit from the concurrency and fault tolerance model offered by languages like Elixir.
To increase awareness and gauge interest in the technology, we will have a bootcamp dedicated to giving us more insights into how to build and architect applications using Elixir and OTP.
It is meant to aim for slightly more advanced concepts, so in order to prepare rest of the team to be able to read the code and have some basic understanding of constructs and tooling - we have organised a LevelUP session, to talk exactly about that...
How to hack with MuseScore and MuseScore.com, that is the question. This presentation helps you to find your way.
More info: http://musescore.org/en/developers-handbook/music-hack-day
Elixir & Phoenix – fast, concurrent and explicitTobias Pfeiffer
Elixir and Phoenix are known for their speed, but that’s far from their only benefit. Elixir isn’t just a fast Ruby and Phoenix isn’t just Rails for Elixir. Through pattern matching, immutable data structures and new idioms your programs can not only become faster but more understandable and maintainable. This talk will take a look at what’s great, what you might miss and augment it with production experience and advice.
Elixir & Phoenix – fast, concurrent and explicitTobias Pfeiffer
Elixir and Phoenix are known for their speed, but that’s far from their only benefit. Elixir isn’t just a fast Ruby and Phoenix isn’t just Rails for Elixir. Through pattern matching, immutable data structures and new idioms your programs can not only become faster but more understandable and maintainable. This talk will take a look at what’s great, what you might miss and augment it with production experience and advice.
Simulation of how funding formula for UK universities creates disparities between institutions over time. See blogpost The Matthew Effect and REF2014 on http://deevybee.blogspot.co.uk/.
R script to accompany blogpost
http://deevybee.blogspot.co.uk/2013/06/interpreting-unexpected-significant.html
Generates random normal numbers to simulate ERP data. Used to demonstrate how false positive rate depends on N factors in ANOVA.
Simply Business is starting to look into new tools to improve some of our mission-critical systems. There is one application, which would hugely benefit from the concurrency and fault tolerance model offered by languages like Elixir.
To increase awareness and gauge interest in the technology, we will have a bootcamp dedicated to giving us more insights into how to build and architect applications using Elixir and OTP.
It is meant to aim for slightly more advanced concepts, so in order to prepare rest of the team to be able to read the code and have some basic understanding of constructs and tooling - we have organised a LevelUP session, to talk exactly about that...
How to hack with MuseScore and MuseScore.com, that is the question. This presentation helps you to find your way.
More info: http://musescore.org/en/developers-handbook/music-hack-day
With Extbase - a new framework for extension development introduced in TYPO3 4.3 - you are able to develop with the paradigms of FLOW3 today. During this talk, you get in touch with the features of the framework to understand how it supports your development process to develop clean code cost efficient in less time. Extbase is one cornerstone for a smooth transition to TYPO3 v5, another is reusable business domain knowledge in form of Generic Domain Models available in 4.x and 5.x. The Generic Domain Models will enable you to add a Semantic Web topping.
Scalability != performance. In fact, having to scale your architecture significantly with growth may be a symptom of a poor application performance. Yet, with the rise of cloud and the abundance of automation and container tools that simplify scalability aspect of your system, performance considerations are often pushed to the back row. Building systems for high performance is not easy. It requires a lot of considerations - from technology selection to design decisions. And "the cloud" does not magically solve those problems for you. In this talk I'll discuss common performance pitfalls across the stack and talk about useful techniques and examples that every application could benefit from.
Some techniques from the heady world of Functional Programming implemented in idiomatic Perl using various techniques: closures, iterators, Devel::Declare, and some distilled evil. New version now with monads! (As presented at http://conferences.yapceurope.org/lpw2008/ )
I will show how to create an interpreter for a simple programming language using Perl 6 grammars.
This talk is not an introduction to Perl 6 regexes and grammars, so we'll use them straight on, but I will add comments so that you can understand what's going on even if you never tried Perl 6 grammars.
There will not be enough time to write the whole compiler, of course, but I will show how you can do that at home.
The HyperText Markup Language or HTML is the standard markup language for documents designed to be displayed in a web browser. It defines the content and structure of web content. It is often assisted by technologies such as Cascading Style Sheets and scripting languages such as JavaScript.
A key feature of TYPO3 today is its extendability and flexibility. Writing extensions was never easier since the Kickstarter, and tslib_piBase. But, time doesn't stand still: new programming paradigms other innovative frameworks came up. It's time to take a next step to faster, cleaner extension coding. With the new Version 5 of TYPO3 and its basis FLOW3 the way to develop extensions will change fundamentally. With Extbase - the new framework for extension development introduced in TYPO3 4.3 - you are able to develop with the paradigms of FLOW3 today. During this talk, you get in touch with the features of the framework to understand how it supports your development process. We also address the users perspective by discussing best practices how to migrate to TYPO3 v5.
Forklift Classes Overview by Intella PartsIntella Parts
Discover the different forklift classes and their specific applications. Learn how to choose the right forklift for your needs to ensure safety, efficiency, and compliance in your operations.
For more technical information, visit our website https://intellaparts.com
Hybrid optimization of pumped hydro system and solar- Engr. Abdul-Azeez.pdffxintegritypublishin
Advancements in technology unveil a myriad of electrical and electronic breakthroughs geared towards efficiently harnessing limited resources to meet human energy demands. The optimization of hybrid solar PV panels and pumped hydro energy supply systems plays a pivotal role in utilizing natural resources effectively. This initiative not only benefits humanity but also fosters environmental sustainability. The study investigated the design optimization of these hybrid systems, focusing on understanding solar radiation patterns, identifying geographical influences on solar radiation, formulating a mathematical model for system optimization, and determining the optimal configuration of PV panels and pumped hydro storage. Through a comparative analysis approach and eight weeks of data collection, the study addressed key research questions related to solar radiation patterns and optimal system design. The findings highlighted regions with heightened solar radiation levels, showcasing substantial potential for power generation and emphasizing the system's efficiency. Optimizing system design significantly boosted power generation, promoted renewable energy utilization, and enhanced energy storage capacity. The study underscored the benefits of optimizing hybrid solar PV panels and pumped hydro energy supply systems for sustainable energy usage. Optimizing the design of solar PV panels and pumped hydro energy supply systems as examined across diverse climatic conditions in a developing country, not only enhances power generation but also improves the integration of renewable energy sources and boosts energy storage capacities, particularly beneficial for less economically prosperous regions. Additionally, the study provides valuable insights for advancing energy research in economically viable areas. Recommendations included conducting site-specific assessments, utilizing advanced modeling tools, implementing regular maintenance protocols, and enhancing communication among system components.
CW RADAR, FMCW RADAR, FMCW ALTIMETER, AND THEIR PARAMETERSveerababupersonal22
It consists of cw radar and fmcw radar ,range measurement,if amplifier and fmcw altimeterThe CW radar operates using continuous wave transmission, while the FMCW radar employs frequency-modulated continuous wave technology. Range measurement is a crucial aspect of radar systems, providing information about the distance to a target. The IF amplifier plays a key role in signal processing, amplifying intermediate frequency signals for further analysis. The FMCW altimeter utilizes frequency-modulated continuous wave technology to accurately measure altitude above a reference point.
Harnessing WebAssembly for Real-time Stateless Streaming PipelinesChristina Lin
Traditionally, dealing with real-time data pipelines has involved significant overhead, even for straightforward tasks like data transformation or masking. However, in this talk, we’ll venture into the dynamic realm of WebAssembly (WASM) and discover how it can revolutionize the creation of stateless streaming pipelines within a Kafka (Redpanda) broker. These pipelines are adept at managing low-latency, high-data-volume scenarios.
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The Internet of Things (IoT) is a revolutionary concept that connects everyday objects and devices to the internet, enabling them to communicate, collect, and exchange data. Imagine a world where your refrigerator notifies you when you’re running low on groceries, or streetlights adjust their brightness based on traffic patterns – that’s the power of IoT. In essence, IoT transforms ordinary objects into smart, interconnected devices, creating a network of endless possibilities.
Here is a blog on the role of electrical and electronics engineers in IOT. Let's dig in!!!!
For more such content visit: https://nttftrg.com/
NUMERICAL SIMULATIONS OF HEAT AND MASS TRANSFER IN CONDENSING HEAT EXCHANGERS...ssuser7dcef0
Power plants release a large amount of water vapor into the
atmosphere through the stack. The flue gas can be a potential
source for obtaining much needed cooling water for a power
plant. If a power plant could recover and reuse a portion of this
moisture, it could reduce its total cooling water intake
requirement. One of the most practical way to recover water
from flue gas is to use a condensing heat exchanger. The power
plant could also recover latent heat due to condensation as well
as sensible heat due to lowering the flue gas exit temperature.
Additionally, harmful acids released from the stack can be
reduced in a condensing heat exchanger by acid condensation. reduced in a condensing heat exchanger by acid condensation.
Condensation of vapors in flue gas is a complicated
phenomenon since heat and mass transfer of water vapor and
various acids simultaneously occur in the presence of noncondensable
gases such as nitrogen and oxygen. Design of a
condenser depends on the knowledge and understanding of the
heat and mass transfer processes. A computer program for
numerical simulations of water (H2O) and sulfuric acid (H2SO4)
condensation in a flue gas condensing heat exchanger was
developed using MATLAB. Governing equations based on
mass and energy balances for the system were derived to
predict variables such as flue gas exit temperature, cooling
water outlet temperature, mole fraction and condensation rates
of water and sulfuric acid vapors. The equations were solved
using an iterative solution technique with calculations of heat
and mass transfer coefficients and physical properties.
Cosmetic shop management system project report.pdfKamal Acharya
Buying new cosmetic products is difficult. It can even be scary for those who have sensitive skin and are prone to skin trouble. The information needed to alleviate this problem is on the back of each product, but it's thought to interpret those ingredient lists unless you have a background in chemistry.
Instead of buying and hoping for the best, we can use data science to help us predict which products may be good fits for us. It includes various function programs to do the above mentioned tasks.
Data file handling has been effectively used in the program.
The automated cosmetic shop management system should deal with the automation of general workflow and administration process of the shop. The main processes of the system focus on customer's request where the system is able to search the most appropriate products and deliver it to the customers. It should help the employees to quickly identify the list of cosmetic product that have reached the minimum quantity and also keep a track of expired date for each cosmetic product. It should help the employees to find the rack number in which the product is placed.It is also Faster and more efficient way.
Immunizing Image Classifiers Against Localized Adversary Attacksgerogepatton
This paper addresses the vulnerability of deep learning models, particularly convolutional neural networks
(CNN)s, to adversarial attacks and presents a proactive training technique designed to counter them. We
introduce a novel volumization algorithm, which transforms 2D images into 3D volumetric representations.
When combined with 3D convolution and deep curriculum learning optimization (CLO), itsignificantly improves
the immunity of models against localized universal attacks by up to 40%. We evaluate our proposed approach
using contemporary CNN architectures and the modified Canadian Institute for Advanced Research (CIFAR-10
and CIFAR-100) and ImageNet Large Scale Visual Recognition Challenge (ILSVRC12) datasets, showcasing
accuracy improvements over previous techniques. The results indicate that the combination of the volumetric
input and curriculum learning holds significant promise for mitigating adversarial attacks without necessitating
adversary training.
10. 2011/2012: CHEFSURFING
We wrote so much code.
Every 2 months complexity would bite us.
Stop-the-world. Test && Refactor.
Not predictable. Not sustainable.
11. 2013: GENERAL ASSEMBLY
Rails app in BAD shape. But well tested.
I was told “refactor allthethings!“
Improved productivity week after week
I want to repeat (and improve!) this story.
14. INTENTION REVEALING METHOD
Why it's called is more important than
how/what it does.
# Remove duplicates?
if hash[row[1]][date] != row[0]
# ...
if remove_duplicates?(row, date)
# ...
def remove_duplicates?(data, date)
15. INTENTION REVEALING METHOD
1. Add comments if code needs it
2. Transform comments into methods
Transform them syntactically, then create the method.
3. Comments are now code.
Code describes itself.
22. 2. SPECIAL CASE OBJECTS
A symbol is better than nil:
def current_user
User.find_by_id(params[:id]) ||
:guest_user
end
current_user.email
undefined method `email' for
:guest_user:Symbol
23. 2. SPECIAL CASE OBJECTS
If there may be nilwe need to enclose it
with an if:
if current_user
"Ohai, #{current_user.email}!"
else
'Ohai, guest!'
end
24. 2. SPECIAL CASE OBJECTS
Instead of nil, return a new object
class NullUser
def email
'guest'
end
end
def current_user
User.find(session[:user_id]) ||
NullUser.new
end
"Ohai, #{current_user.email}!"
26. 3. REPLACE METHOD WITH METHOD OBJECT
How to refactor a GIGANTIC method
without getting lost in the cold night.
defrow_per_day_format(file_name)
file=File.openfile_name,'r:ISO-8859-1'
#hash[NivelConsistencia][date]=[[value,status]]
hash={'1'=>{},'2'=>{}}
dates=[]
str=''
CSV.parse(file,col_sep:';').eachdo|row|
nextifrow.empty?
nextifrow[0]=~/^///
date=Date.parse(row[2])
(13..43).eachdo|i|
measurement_date=date+(i-13)
#IfNumDiasDeChuvaisemptyitmeansnodata
value =row[7].nil??-99.9:row[i]
status=row[i+31]
hash_value=[value,status]
dates<<measurement_date
hash[row[1]][measurement_date]=hash_value
27. 3. REPLACE METHOD WITH METHOD OBJECT
1/5. Look carefully at the code. Get scared.
defrow_per_day_format(file_name)
file=File.openfile_name,'r:ISO-8859-1'
#hash[NivelConsistencia][date]=[[value,status]]
hash={'1'=>{},'2'=>{}}
dates=[]
str=''
CSV.parse(file,col_sep:';').eachdo|row|
nextifrow.empty?
nextifrow[0]=~/^///
date=Date.parse(row[2])
(13..43).eachdo|i|
measurement_date=date+(i-13)
#IfNumDiasDeChuvaisemptyitmeansnodata
value =row[7].nil??-99.9:row[i]
status=row[i+31]
hash_value=[value,status]
dates<<measurement_date
hash[row[1]][measurement_date]=hash_value
end
end
29. 3. REPLACE METHOD WITH METHOD OBJECT
2/4. Copy & Paste the method's body in
the new class, with no arguments
class FormatAtoB
def initialize(file_name)
@file_name = file_name
end
def row_per_day_format
file = File.open file_name, 'r:ISO-8859-1'
# hash[NivelConsistencia][date] = [[value, status]]
hash = { '1' => {}, '2' => {} }
dates = []
str = ''
CSV.parse(file, col_sep: ';').each do |row|
next if row.empty?
next if row[0] =~ /^///
date = Date.parse(row[2])
(13..43).each do |i|
31. 3. REPLACE METHOD WITH METHOD OBJECT
4/4. Apply "Intention Revealing Method" to
the class. Voilà.
class FormatAtoB
def initialize(file_name)
@file_name = file_name
end
def row_per_day_format
load_file_a
format_data
end
private
def load_file_a
# [...]
end
end
37. NEXT STEPS
Send Pull Requests to GitHub.
It's a gold mine:
sferik/rails_admin
Code Climate
TracksApp/tracks
Code Climate
38. NEXT STEPS: " "4 RULES
1. Classes of at most 100 lines of code
2. Methods of at most 5 lines of code
3. A method accepts at most 4 arguments
4. A controller instantiates only one object
39. WHY REFACTORING
Not only about aesthetics, but shared
understanding, performance.
We work with the tools with which we
work. We are users and creators.
If I have a bias I choose "over-
engineering". "Under-engineering" is
risky, expensive, and over-crowded.