The document discusses mixing functional and object-oriented programming approaches in C#, covering topics like generics, LINQ, lambdas, anonymous methods, extension methods, and more. It provides examples of filtering arrays and enumerables using predicates in increasingly functional styles. It argues that functional programming can complement object-oriented code by abstracting over common operations.
This slide contains full description about a Data Structure Called Trie Data Structure. A common example of an Application which use trie data structure to store data is dictionary. The basic operations like Adding, Deleting, Searching etc are included in the slide.
This slide contains full description about a Data Structure Called Trie Data Structure. A common example of an Application which use trie data structure to store data is dictionary. The basic operations like Adding, Deleting, Searching etc are included in the slide.
The presentation from SPb Python Interest Group community meetup.
The presentation tells about the dictionaries in Python, reviews the implementation of dictionary in CPython 2.x, dictionary in CPython 3.x, and also recent changes in CPython 3.6. In addition to CPython the dictionaries in alternative Python implementations such as PyPy, IronPython and Jython are reviewed.
MCE^3 - Hannes Verlinde - Let The Symbols Do The WorkPROIDEA
Syntactic symbol manipulation may be the universal way of deriving new knowledge in science and engineering, but the technique is still rarely used in the act of writing software. We will explore this alternate way of reasoning about code, while demonstrating the power of formal refactoring and its potential for automation.
The presentation from SPb Python Interest Group community meetup.
The presentation tells about the dictionaries in Python, reviews the implementation of dictionary in CPython 2.x, dictionary in CPython 3.x, and also recent changes in CPython 3.6. In addition to CPython the dictionaries in alternative Python implementations such as PyPy, IronPython and Jython are reviewed.
MCE^3 - Hannes Verlinde - Let The Symbols Do The WorkPROIDEA
Syntactic symbol manipulation may be the universal way of deriving new knowledge in science and engineering, but the technique is still rarely used in the act of writing software. We will explore this alternate way of reasoning about code, while demonstrating the power of formal refactoring and its potential for automation.
Monadic Comprehensions and Functional Composition with Query ExpressionsChris Eargle
Build monads using the C# language with a C# style, then use the appropriate methods to ensure the LINQ query syntax works with this functional design pattern. After describing monads, we will cut the middleman and apply the same techniques directly to objects and functions to achieve better results with a declarative syntax.
Scala is a general purpose programming language designed to express common programming patterns in a concise, elegant, and type-safe way. It smoothly integrates features of object-oriented and functional languages, enabling Java and other programmers to be more productive." This session is an introduction of Scala for Java developers.
Presentation & Fetured Video Included.
Evolving with Java - How to remain Relevant and EffectiveNaresha K
Slides from my GIDS 2019 presentation - Evolving with Java - How to remain relevant and effective. In this presentation, I share examples of evolving with Java to overcome the pain points.
Effective Java - Still Effective After All These YearsMarakana Inc.
Joshua Bloch serves up a few Java Puzzlers as an appetizer before and as dessert after the main course on Effective Java.
Organized By: Silicon Valley Web JUG - Van Riper and Kevin Nilson
Hosted and Sponsored By: Google
Video By: Marakana
Refer to my progress on this assignment belowIn this problem you w.pdfarishmarketing21
Refer to my progress on this assignment below
In this problem you will make it “more” object-oriented in the following ways:
-You will change its name to SortedList
-You will change the constructor that takes no arguments to be more traditional and initialize the
member fields to dummy values.
-You will add a constructor that takes in an initialized array and a size
-You will add an insert function that adds a value to the list and maintains its sorted-ness
-You will add a quicksort function check the below code.
-You will make updates as necessary to the main function so that it still runs and tests your code.
The code below seems to sort correctly but it skips over some items in the array and I am not
sure what is happening. Please help! Thanks!
import java.util.Scanner;
class SortedList
{
private static int array[];
private static int n;
public SortedList()
{
Scanner in = new Scanner(System.in);
System.out.println(\"Enter number of elements\");
n = in.nextInt();
array = new int[n];
if(n == 0) {
System.out.print(\"Since no arguments array set to: \");
} else {
System.out.print(\"Creating array size \" + n + \": \");
}
for(int i = 0; i < n; i++)
{
array[i] = 0;
}
//System.out.println(\"Enter \" + n + \" integers in ascending order\");
/*for (c = 0; c < n; c++)
array[c] = in.nextInt();*/
for(int i = 0; i < n; i++)
{
System.out.print(array[i] + \" \");
}
System.out.print(\"\ \");
}
public SortedList(int a[], int size)
{
array = a;
n = size;
}
public int binsearch(int search)
{
int first, last, middle;
first = 0;
last = n - 1;
middle = (first + last)/2;
while( first <= last )
{
if ( array[middle] < search )
first = middle + 1;
else if ( array[middle] == search )
{
//System.out.println(search + \" found at location \" + (middle + 1) + \".\");
return middle+1;//+1 for the non-CS people who don\'t start counting at zero.
}
else
last = middle - 1;
middle = (first + last)/2;
}
return -1;
//System.out.println(search + \" is not present in the list.\ \");
}
public static int partition(int input[], int p, int r)
{
int pivot = input[r];
while(p < r)
{
while(input[p] < pivot)
{
p++;
}
while(input[r] > pivot)
{
r--;
}
if(input[p] == input[r])
{
p++;
}
else if(p < r)
{
int tmp = input[p];
input[p] = input[r];
input[r] = tmp;
}
}
return r;
}
public static void quicksort(int input[], int p, int r)
{
if(p < r)
{
int j = partition(input, p, r);
quicksort(input, p, j-1);
quicksort(input, j+1, r);
}
}
public static void insert(int value, int cell)
{
array[cell] = value;
quicksort(array, 0, n-1);
}
public static void main(String args[])
{
int c;
Scanner in = new Scanner(System.in);
SortedList b = new SortedList();
System.out.println(\"Input numbers\");
for(int i = 0; i < n; i++)
{
c = in.nextInt();
in.nextLine();
insert(c, i);
}
in.close();
for(int j = 0; j < n; j++)
{
System.out.print(array[j] + \", \");
}
}
}
Solution
//the whole program that you wrote is correct except one line , when you call the quicksort
everytime you insert a //value dont pass n pass the i.
Evolving with Java - How to Remain EffectiveNaresha K
Slides from my Java2Days 2020 talk - "Evolving with Java - How to Remain Effective".
Developers find themselves in need to continually update themselves with the rapidly changing technologies to remain relevant and deliver value. However, by keeping a few things in mind and with certain practices, this can be a pleasant experience. In this presentation, I share my experiences learning and evolving with Java in the last 15+ years. The ideas presented are generic enough to be applicable for people using any technology stack. However, the code examples are in Java/ JVM languages.
We start by understanding the importance of gradual improvement. To keep motivated for continuous improvement, in my experience, responsiveness is a vital element. I share my experience of how to increase your responsiveness. To be able to change/ experiment continuously in our code, we need to ensure that we don't break anything. We explore the necessary techniques to achieve safety. Often we mistakenly consider lack of familiarity as complexity. We explore options to come out of this confusion. We then touch upon the impact of learning paradigms and multiple languages available on the JVM. Finally, we touch upon another important aspect of continuous improvement that is unlearning. We conclude the session by summarising the principles.
This week in Neo4j - 3rd February 2018Mark Needham
Discover what's new in the Neo4j community for the week of 3 February 2018, including projects around Thomson Reuters’ OpenPermID, Data Lineage at UBS, and Kubernetes on Google Cloud.
22. Inference int[] ints = new int[] {1, 2, 3, 4, 5 }; int[] even = Filter(ints, new IntegerPredicate(Even)); Int[] greaterThanThree = Filter(ints, new IntegerPredicate(GreaterThanThree));
23. Inference int[] ints = new int[] {1, 2, 3, 4, 5 }; int[] even = Filter(ints, Even); Int[] greaterThanThree = Filter(ints, GreaterThanThree); The compiler can infer what the type of the delegate is so we don’t have to write it.
33. Anonymous Methods int minimumValue = 3; IEnumerable<int> greaterThanThree = Filter(ints, delegate(int value) { return value > minimumValue; }); Anonymous methods add support for closures. The delegate captures the scope it was defined in.
43. LINQ New delegates in System namespace Action<T>, Action<T1, T2>, Func<TResult>, Func<T1, TResult> etc.
44. LINQ New delegates in System namespace Action<T>, Action<T1, T2>, Func<TResult>, Func<T1, TResult> etc. System.Linq Extension methods Where, Select, OrderBy etc.
45. LINQ New delegates in System namespace Action<T>, Action<T1, T2>, Func<TResult>, Func<T1, TResult> etc. System.Linq Extension methods Where, Select, OrderBy etc. Some compiler magic to translate sql style code to method calls
46. LINQ var even = ints.Where(value => value % 2 == 0) var greaterThanThree = ints.Where(value => value > minimumValue) or var even = from value in ints where value % 2 == 0 select value var greaterThanThree = from value in ints where value > minimumValue select value
53. Transformational Mindset We can just pass functions around instead in most cases - find an example where it still makes sense to use the GOF approach though.
106. var people = new [] { new Person { Id=1, Address = new Address { Road = "Ewloe Road" }}, new Person { Id=2}, new Person { Id=3, Address = new Address { Road = "London Road"}} }; people.Select(p => p.Address.Road);
origins of functional programming are found in lambda calculation/maths
functions that take in a function or return a function. Need to have first class functions in the language to do that. We have that with all the LINQ methods - select, where, and so on.
the whole premise of functional programming with side effect free functions assumes that we have immutable data. We can't achieve this idiomatically in C# because the language isn't really designed for it. I want to put an example of how immutability is easy in F#, can that go in this section?
iterators in C# do this with yield keyword It's not necessary to have lazy evaluation to be functional but it's a characteristic of some functional languages.
seems quite obvious but the most extreme guideline to follow is that we shouldn't need to store anything in variables. Look at the data as a whole if we don't store any intermediate values then we truly do have some data that we are passing through different filters and applying some transformation
it's quite like the pipes and filters architectural pattern in fact. This is the way that we can combine functions on the unix command line.
what is CPS? is where we pass in a function that represents the rest of the program which will be called with the result of another function.
what is CPS? is where we pass in a function that represents the rest of the program which will be called with the result of another function.
what is CPS? is where we pass in a function that represents the rest of the program which will be called with the result of another function.
the idea is that the rest of the program is contained in the continuation so we don't need to come back to the call site.
the idea is that the rest of the program is contained in the continuation so we don't need to come back to the call site.
the idea is that the rest of the program is contained in the continuation so we don't need to come back to the call site.
Encapsulates the state but over complicates the program flow perhaps
Encapsulates the state but over complicates the program flow perhaps