Why Freelancing is the Future
Deploy Infinite Block Tech’s White label futures trading software is embedded with solutions and services like derivatives trading, futures trading, margin trading, and spot trading. The safety measures include HTTP authentication, jail login, anti-DDoS protection, cross-site request forgery protection, and server-side request forgery protection.
#white label futures trading #white label futures trading software #futures trading #futures trading software
Based on a recent report there are 59M freelancers in US. The freelance workforce is global and very competitive; the talent supply is higher than the jobs demand. You can read more about this changing global marketplace and the covid impact in this financial results presentation.
Freelancers face multiple challenges two of them being:
Freelancer.com has an excellent API that can be used to extract project details. It is a rich data set with a respectable history (more than 5 years); it contains both contests and projects, although I will only cover the latter.
The above mentioned reports contain a lot of good information (freelancer profiles, average bids per project, gross market volume trends, etc.). In this post I will try to answer the following question: can a project probability to be awarded be determined accurately?
Given the extensive schema I have been focusing on 2 main components:
#freelance #freelancing #tensorflow #deep-learning #freelancers
The Cambridge Analytica[i] scandal along with other data breaches[ii] have given the data extraction industry a negative reputation. That’s a hard reality to face, because (a) I lead a company that provides ethically-sourced proxies for public data extraction, and (b) I believe that web scraping can be a force for good.
I realise that some people will need to be convinced that this is true because positive stories don’t get nearly as many clicks as negative ones. But they do exist, and I hope to change some minds with this article.
#big data #latest news #the path to a better future is paved with data #future #data #better future
Android is dominating all other mobile operating systems in the market globally. There’s no doubt that Android applications will always be in demand. Companies like, Flipkart, Amazon, PayTM, Airtel, and many more are investing highly into third-party apps. These all apps be it native or third-party are powered by Android. Also there’s a growth in the prevalence and quality of Android Certification these days.
#android tutorials #android future scope #future for android developers #future in android #is android developer a good career
To understand this better, firstly we must understand what is blocking and why is it bad for our software.
BLOCKING – A blocking/long-running call occurs when a thread is tied up for long periods of time performing computations or waiting for resources. This may be anything – a database call, file I/O, serialization/deserialization of objects, network I/O etc.
There are multiple reasons why blocking negatively affects our code.
But how do we solve the problem of blocking?
Blocking is inevitable in most systems. To maintain performance and scalability, we can isolate the blocking operations using Java Futures.
**JAVA FUTURES – **These allow us to isolate the blocking operations to a separate thread so that the execution of the main thread continues uninterrupted. The result of the futures is handled through a callback.
Futures represent the promise of value. In Java 8, the promise of values is represented by a CompletableFuture.
A CompletableFuture eventually resolves into one of the following 2 things –
The value of the future
An exception that occurs while resolving the value of the future.
Syntax of a CompletableFuture is as below-
CompletableFuture<Order> futureOrder = CompletableFuture.supplyAsync(() -> new Order(..));
This future takes in a lambda expression that takes some parameters. The lambda body contains all the work that is to be done in the blocking call. When the work is done, the future returns the value (in this case the order object) back to the calling code. All this work is done in a separate thread so that the normal flow of the program is not blocked.
Now, we will talk about some of the scenarios regarding futures & best practices we can leverage to our benefit.
Best Practice: Rather than waiting for a future to complete, we can use transformations or callbacks to handle the result of the future. The .thenApply function transforms the value of the future using the lambda provided.
CompletableFuture<String> futureString = futureOrder.thenApply((order) -> order.toString());
2. Sometimes, if a lambda returns a future we can get a nested future.
_Best Practice: _We can use .thenCompose function to flatten the nested future instead of .thenApply. This returns a CompletableFuture instead of a CompletableFuture<CompletableFuture>.
CompletableFuture<Order> flattenedFutureOrder = futureOrder.thenCompose((order) -> completedFuture(order));
3. Futures are executed in separate threads or thread pool. Management of these threads is handled by an Executor or Executor Service. When no Executor is provided for a future, a default thread pool is used. This is convenient but also means that all operations, even the fast ones are competing for the same threads.
#functional programming #future #java #scala #tech blogs #futures #java 8