Например программа на вход получает 'abc'
> abc
['abc', 'a.bc', 'ab.c', 'a.b.c']
Ее можно решить несколькими способами, но разобрать я хочу 2 из них.
Вы могли заметить, что размещение точек очень напоминает бинарные числа
00
01
10
11
> abc
['abc', 'a.bc', 'ab.c', 'a.b.c']
00
01
10
11
In Python, List comprehension is a technique of creating a new list using other iterables and in fewer lines of codes. The iterable object which can be used in this technique can be any data structure like list, tuple, set, string, and dictionary, etc. An iterable created by using range() function can also be used here.
The syntax used in list comprehension generally contains three segments:
#list comprehension syntax
list = [tranform_func(i) for i in iterable if filters]
#which is equivalent to...
for i in iterator:
if filters:
list.append(tranform_func(i))
Throughout the world, companies large and small alike are increasingly adding, expanding, and modernizing their electronic data interchange (EDI) communications. If you need to meet partner EDI mandates or wish to capture the many benefits afforded by EDI connectivity with more of your partners, you can take several approaches to EDI. Two of the most popular include value-added networks (VANs) and direct EDI (typically via AS2).
If you're new to EDI, you may be wondering what these options entail and which is right for your business. If you've been operating EDI for some time, you may be considering whether now is the time to switch. Let's dive in and explore the advantages and disadvantages of direct EDI with AS2 vs. VANs.
The significance of cross platform development is there for every one of us to see. In today’s business world, where a mobile app or a web app is a must to take your business to the next level, cross platform app development has become very popular, especially while building mobile apps.
With the accelerating pace of innovations in technology, it won’t be surprising to know that AI is briskly conquering the global economy and intelligently revolutionizing the face of businesses. From ordering your food, managing your work to gathering information from robots, Artificial Intelligence is powerfully transforming every move of your life, and organizations are not an exception.
Someone asked Alexa- How Could AI Impact My Business in 2020? Does it change the traditional outlook of my business? Is it essential to have a thought about chatbot development services?
And Alexa simply answered this question with the mindful saying of Stephen Hawking “Computers will overtake humans with AI within the next 100years. When that happens, we need to make sure the computers have goals aligned with ours".
Microsoft has created the SQL Server that is a relational database management system. The primary functionality of SQL is to store and recover the information as mentioned by the client or another application. SQL functions can either run on a similar framework or another over a system. In this tutorial, things are explained like,
The CCM (C# Collections Mapper) is a working version of the handwritten mini ORM, working with the database and C # collections. Productivity is quite high, resource consumption is minimal. This ORM works directly with SQL Server stored procedures. The code is accompanied by descriptions and example .Net Console project showing the technique of ORM using.
Data is stored on the SQL server and when a large number of simultaneously connected users access it this creates a serious load on the database server. In addition, often database queries fetch the same data, which is not good in terms of server and applications load. One of ways to optimize the database in ligament with client application is to reduce traffic and to store data already received from the server on the client or in the middle application tier. Or to store already received data on the application server, especially when the database server and client applications are distributed across the network. For this purpose, the collections stored in the Session or at the application level are the best suited.