BoldRadius' Senior Software Developer Alejandro Lujan explains how to use higher order functions in Scala and illustrates them with some examples.
See the accompanying video at www.boldradius.com/blog
How to use Map() Filter() and Reduce() functions in Python | EdurekaEdureka!
Youtube Link: https://youtu.be/QxpbE5hDPws
** Python Certification Training: https://www.edureka.co/data-science-python-certification-course**
This Edureka PPT on 'map, filter, and reduce functions in Python' is to educate you about these very important built-in functions in Python. Below are the topics covered in this PPT:
Introduction to map filter reduce
The map() function
The filter() function
The reduce() function
Using map(),filter() and reduce() functions together
filter() within map()
map() within filter()
map() and filter() within reduce()
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How to use Map() Filter() and Reduce() functions in Python | EdurekaEdureka!
Youtube Link: https://youtu.be/QxpbE5hDPws
** Python Certification Training: https://www.edureka.co/data-science-python-certification-course**
This Edureka PPT on 'map, filter, and reduce functions in Python' is to educate you about these very important built-in functions in Python. Below are the topics covered in this PPT:
Introduction to map filter reduce
The map() function
The filter() function
The reduce() function
Using map(),filter() and reduce() functions together
filter() within map()
map() within filter()
map() and filter() within reduce()
Follow us to never miss an update in the future.
YouTube: https://www.youtube.com/user/edurekaIN
Instagram: https://www.instagram.com/edureka_learning/
Facebook: https://www.facebook.com/edurekaIN/
Twitter: https://twitter.com/edurekain
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Castbox: https://castbox.fm/networks/505?country=in
Combines the better attributes of merge sort and insertion sort.
Like merge sort, but unlike insertion sort, running time is O(nlgn).
Like insertion sort, but unlike merge sort, sorts in place.
Combines the better attributes of merge sort and insertion sort.
Like merge sort, but unlike insertion sort, running time is O(nlgn).
Like insertion sort, but unlike merge sort, sorts in place.
With CabMe , we try to make your journey more easy and enjoyable. We offer one way, two way cabs and travel packages as well.We are a group of sapient BITSians who based CabMe on one simple idea – You’re the one who’s travelling, so you should get choose how.
Visit www.cabme.in
Recent works in the context of large-scale adaptive systems, such as those for the Internet of Things (IoT) scenario, promote aggregate programming [3], a development approach for distributed systems in which one programs the aggregate of computational devices instead of individual ones. This makes the resulting behaviour highly insensitive to network size, density, and topology, and as such, intrinsically robust to failures and changes to working conditions (e.g., location of computational load, communication technology, and computational infrastructure).
In this paper we are concerned with how this approach can impact mainstream software development, and hence outline a Scala-based support of aggregate programming, leveraging Scala advanced type system, DSL support, and actors mechanisms.
With CabMe , we try to make your journey more easy and enjoyable. We offer one way, two way cabs and travel packages as well.
We are a group of sapient BITSians who based CabMe on one simple idea – You’re the one who’s travelling, so you should get choose how. Being students at the remote setting of Pilani, we know the set of troubles one faces when planning a journey. So our aim is to solve it for you!
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Functional Programming for OO Programmers (part 2)Calvin Cheng
Code examples demonstrating Functional Programming concepts, with JavaScript and Haskell.
Part 1 can be found here - http://www.slideshare.net/calvinchengx/functional-programming-part01
Source code can be found here - http://github.com/calvinchengx/learnhaskell
Let me know if you spot any errors! Thank you! :-)
Introduction to parallel and distributed computation with sparkAngelo Leto
Lecture about Apache Spark at the Master in High Performance Computing organized by SISSA and ICTP
Covered topics: Apache Spark, functional programming, Scala, implementation of simple information retrieval programs using TFIDF and the Vector Model
Video to talk: https://www.youtube.com/watch?v=gd4Jqtyo7mM
Apache Spark is a next generation engine for large scale data processing built with Scala. This talk will first show how Spark takes advantage of Scala's function idioms to produce an expressive and intuitive API. You will learn about the design of Spark RDDs and the abstraction enables the Spark execution engine to be extended to support a wide variety of use cases(Spark SQL, Spark Streaming, MLib and GraphX). The Spark source will be be referenced to illustrate how these concepts are implemented with Scala.
http://www.meetup.com/Scala-Bay/events/209740892/
The Collections Framework (java.util)- Collections overview, Collection Interfaces, The Collection classes- Array List, Linked List, Hash Set, Tree Set, Priority Queue, Array Deque. Accessing a Collection via an Iterator, Using an Iterator, The For-Each alternative, Map Interfaces and Classes, Comparators, Collection algorithms, Arrays, The Legacy Classes and Interfaces- Dictionary, Hashtable ,Properties, Stack, Vector More Utility classes, String Tokenizer, Bit Set, Date, Calendar, Random, Formatter, Scanner
This slide contains short introduction to different elements of functional programming along with some specific techniques with which we use functional programming in Swift.
In this presentation, You will get to know about Function Literal,Higher Order Function,Partial Function,Partial Applied Function,Nested Function,Closures.
Similar to How To Use Higher Order Functions in Scala (20)
In this webinar, Michael Nash of BoldRadius explores the Typesafe Reactive Platform.
The Typesafe Reactive Platform is a suite of technologies and tools that support the creation of reactive applications, that is, applications that handle the kind of responsiveness requirements, data volume, and user load that was out of practical reach only a few years ago.
From analysis of the human genome to wearable technology to communications at a massive scale, BoldRadius has the premier team of experts with decades of collective experience in designing and building these types of applications, and in helping teams adopt these tools.
Patrick Premont of BoldRadius presented this talk at Scala By The Bay 2015.
Why do data structure lookups often return Options? Could we safely eliminate all the recovery code that we hope is never called? We will see how Scala’s type system lets us express referential integrity constraints to achieve unparalleled reliability. We apply the technique to in-memory data structures using the Total-Map library and consider how to extend the benefits to persisted data.
How You Convince Your Manager To Adopt Scala.js in ProductionBoldRadius Solutions
Dave Sugden and Katrin Shechtman of BoldRadius presented this talk at Scala By The Bay 2015.
The talk will present fully functional sample application developed with Scala.js, scalatags, scalacss and other Scala and Typesafe technologies. We aim to show all the pros and cons for having Scala coast-to-coast approach to web-application development and encourage people not to shy away from asking difficult questions challenging this approach. Participants can expect to gain a clear view on the current state of the Scala based client side technologies and take away an activator template with application code that could be used as a base for technical discussions with their peers and managers.
As a full-time Scala developer, I often find myself talking about Scala and functional programming in different kinds of situations, ranging from meeting a friend working in J2EE, Ruby or C++, to dedicated Scala Meetups aiming to promote deeper understanding of the language. However, something occurred to me lately. By hanging out with people who have some Scala knowledge or experience, I am somewhat holding on to a safe place. By presenting only to people who are curious about Scala, I'm preaching to the converted.
To make a long story short, I recently made an attempt at getting out of my comfort zone by presenting about how making the transition from Java to Scala makes total sense (from Java developer point of view). The presentation went through proof-hearing of approximately 60 experienced Java programmers (with almost no prior Scala knowledge) gathered in one room for a Lunch & Learn. Here are my slides.
Alejandro Lujan introduces us to String Interpolation, a feature of Scala that allows us to have placeholders inside of string definitions, and explains why you would want to use them. Video included!
This presentation provides an overview on Value Classes in Scala, which is explained in the video on the last slide by Alejandro Lujan. He explains why you would want to use them, outlines the restrictions that are associated with them, and shows examples of how you would use them. Value classes are a mechanism that Scala provides to create a certain type of wrapper classes that provide memory and performance optimizations. In this video, we show a use case for Tiny Types with Value classes.
Did you miss Scala Days 2015 in San Francisco? Have no fear! BoldRadius was there and we've compiled the best of the best! Here are the highlights of a great conference.
In his latest Typesafe tutorial video, Alejandro Lujan explains for expressions in Scala, and provides an example of them in action.
For expressions are a very useful construct that can simplify manipulation of collections and several other data structures. They can be used in place of nested for loops, or to replace calls to map and flatMap in non-collection structures.
Learn more
Domain Driven Design with Onion Architecture is a powerful combination of Architecture Patterns that can dramatically improve code quality and can help you learn a great deal about writing "clean" code.
Senior Software Developer and Lead Trainer Alejandro Lujan explains pattern matching, a very powerful and elegant feature of Scala, using a series of examples.
Learn more about this topic and find more presentation on Scala at:
Senior Software Developer and Trainer Alejandro Lujan explains sealed classes, why they are needed, and how to implement them in Scala. Read more on the BoldRadius blog: http://boldradius.com/blog-post/VBB3uzIAADYAiiSy/sealed-classes-in-scala
Senior Software Developer Alejandro Lujan discusses the collections API in Scala, and provides some insight into what it can do with with some examples.
Mike Kelland and the BoldRadius team lead an interactive discussion at Scala Days 2014 in Berlin on adopting the Typesafe Reactive Platform and creating change in your organization.
We explored approaches to solving the pain points that may arise, presenting tools, strategies and resources designed to help you adopt the Typesafe Reactive Platform today.
In this video, senior software developer Alejandro Lujan explores the elements of Scala's language that allow you to write clean and powerful code in a more brief manner.
BoldRadius senior developer Alejandro Lujan shows us some examples of using case classes in Scala, explains why they are beneficial, and shares some items to be mindful of. Learn more about using case classes in Scala on our blog.
This presentation explores the benefits of functional programming, especially with respect to reliability. It presents a sample of types that allow many program invariants to be enforced by compilers. We also discuss the industrial adoption of functional programming, and conclude with a live coding demo in Scala.
top nidhi software solution freedownloadvrstrong314
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Enhancing Project Management Efficiency_ Leveraging AI Tools like ChatGPT.pdfJay Das
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Large Language Models and the End of ProgrammingMatt Welsh
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Top Features to Include in Your Winzo Clone App for Business Growth (4).pptxrickgrimesss22
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First Steps with Globus Compute Multi-User EndpointsGlobus
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Accelerate Enterprise Software Engineering with PlatformlessWSO2
Key takeaways:
Challenges of building platforms and the benefits of platformless.
Key principles of platformless, including API-first, cloud-native middleware, platform engineering, and developer experience.
How Choreo enables the platformless experience.
How key concepts like application architecture, domain-driven design, zero trust, and cell-based architecture are inherently a part of Choreo.
Demo of an end-to-end app built and deployed on Choreo.
In software engineering, the right architecture is essential for robust, scalable platforms. Wix has undergone a pivotal shift from event sourcing to a CRUD-based model for its microservices. This talk will chart the course of this pivotal journey.
Event sourcing, which records state changes as immutable events, provided robust auditing and "time travel" debugging for Wix Stores' microservices. Despite its benefits, the complexity it introduced in state management slowed development. Wix responded by adopting a simpler, unified CRUD model. This talk will explore the challenges of event sourcing and the advantages of Wix's new "CRUD on steroids" approach, which streamlines API integration and domain event management while preserving data integrity and system resilience.
Participants will gain valuable insights into Wix's strategies for ensuring atomicity in database updates and event production, as well as caching, materialization, and performance optimization techniques within a distributed system.
Join us to discover how Wix has mastered the art of balancing simplicity and extensibility, and learn how the re-adoption of the modest CRUD has turbocharged their development velocity, resilience, and scalability in a high-growth environment.
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Venez le découvrir lors de cette session ignite
Prosigns: Transforming Business with Tailored Technology SolutionsProsigns
Unlocking Business Potential: Tailored Technology Solutions by Prosigns
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Custom Software Development: Prosigns specializes in creating bespoke software solutions that cater to your unique business needs. Our team of experts works closely with you to understand your requirements and deliver tailor-made software that enhances efficiency and drives growth.
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DevOps Services: Prosigns' DevOps services streamline development and operations processes, ensuring faster and more reliable software delivery through automation and continuous integration.
Microsoft Dynamics 365 Support: Prosigns provides comprehensive support and maintenance services for Microsoft Dynamics 365, ensuring your system is always up-to-date, secure, and running smoothly.
Learn how our collaborative approach and dedication to excellence help businesses achieve their goals and stay ahead in today's digital landscape. From concept to deployment, Prosigns is your trusted partner for transforming ideas into reality and unlocking the full potential of your business.
Join us on a journey of innovation and growth. Let's partner for success with Prosigns.
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Enterprise Resource Planning System includes various modules that reduce any business's workload. Additionally, it organizes the workflows, which drives towards enhancing productivity. Here are a detailed explanation of the ERP modules. Going through the points will help you understand how the software is changing the work dynamics.
To know more details here: https://blogs.nyggs.com/nyggs/enterprise-resource-planning-erp-system-modules/
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Exploring Innovations in Data Repository Solutions - Insights from the U.S. G...Globus
The U.S. Geological Survey (USGS) has made substantial investments in meeting evolving scientific, technical, and policy driven demands on storing, managing, and delivering data. As these demands continue to grow in complexity and scale, the USGS must continue to explore innovative solutions to improve its management, curation, sharing, delivering, and preservation approaches for large-scale research data. Supporting these needs, the USGS has partnered with the University of Chicago-Globus to research and develop advanced repository components and workflows leveraging its current investment in Globus. The primary outcome of this partnership includes the development of a prototype enterprise repository, driven by USGS Data Release requirements, through exploration and implementation of the entire suite of the Globus platform offerings, including Globus Flow, Globus Auth, Globus Transfer, and Globus Search. This presentation will provide insights into this research partnership, introduce the unique requirements and challenges being addressed and provide relevant project progress.
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Cross-facility research orchestration comes with ever-changing constraints regarding the availability and suitability of various compute and data resources. In short, a flexible data and processing fabric is needed to enable the dynamic redirection of data and compute tasks throughout the lifecycle of an experiment. In this talk, we illustrate how we easily leveraged Globus services to instrument the ACE research testbed at the Oak Ridge Leadership Computing Facility with flexible data and task orchestration capabilities.
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AI Pilot Review: The World’s First Virtual Assistant Marketing SuiteGoogle
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Understanding Globus Data Transfers with NetSageGlobus
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2. Higher
order
func2ons
• Allow
behavior
to
be
passed
in
as
arguments
• Return
func2ons
from
method
calls
• Allows
for
more
abstract
constructs
=>
more
library-‐like,
requiring
less
maintenance
3. Example:
Filter
• Set[A]
contains
a
method
called
filter:
filter(p: A => Boolean): Set[A]
• Use
it
to
select
elements
that
comply
with
a
predicate
4. Example:
Filter
val set = (-10 to 10).toSet
def isEven(i:Int) = i % 2 == 0
// Set[A].filter(p: A => Boolean): Set[A]
set.filter(i => isEven(i))
set.filter(isEven(_))
set.filter(isEven)
5. Example:
Map
• List[A]
contains
a
method
called
map:
map[B](f: A => B): List[B]
• Use
it
to
transform
each
element
in
the
list
by
applying
f
6. Example:
Map
def capitalize(s: String) =
s.head.toUpper + s.tail.toLowerCase
val list = List("samwise", "meriadoc",
"peregrin")
list.map(capitalize)
7. Some
interes2ng
examples
• Collec2ons
– best
implementa2on
depends
on
collec2on:
recursive,
itera2ve,
with
auxiliary
mutable
state.
• Parallel
collec2ons
– interface
is
fundamentally
the
same,
paralleliza2on
is
hidden
from
you.
• Futures
– transform
the
value
once
it's
available