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Popular How-To's in F category


 
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How to hire front-end developer?

Hire dedicated frontend developers and programmers to work on your projects. Toogit Front-end developers are focused on providing frontend solution. Whether you are looking to hire frontend developers for your existing website or build a new web application from scratch, Toogit provide experts to quickly ramp up your team. Toogit front-end developers provides advanced web app development expertise to provide outstanding user experience on any device, mobile, tablet or desktop.

What is front-end development?

Front-end web development, also known as client-side development is the practice of producing HTML, CSS and JavaScript for a website or Web Application so that a user can see and interact with them directly. The challenge associated with front end development is that the tools and techniques used to create the front end of a website change constantly and so the developer needs to constantly be aware of how the field is developing.

What does a frontend developer do?

A front-end developer brings the design and functionality of an app to life, blending a mix of UI, UX, graphic design, and plenty of technical coding skills. Using a combination of HTML, CSS, and JavaScript the big three core skills of front-end development they build everything a user sees and interacts with on a website. This can include fonts, sliders, drop-down menus, and buttons, and content that’s been optimized for fast load times like photos, videos, and articles are displayed in your web browser.

What skillset is required for frontend developer?

Everything on the front end is built with a mix of HTML, CSS, and client-side scripts like JavaScript the core elements of front-end development. The front-end developer bridges the world of design and technology, bringing design to life and packaging up the utility of the back end in a modern, inviting way for users to interact with. You may require some crossover knowledge from your front-end developer. If you need interdisciplinary skills visual design, back-end development, or even database design look for someone with a working knowledge of languages like SQL, Java, PHP, Ruby, and the .NET framework.

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Optimization deals with selecting the simplest option among a number of possible choices that are feasible or do not violate constraints. Python is used to optimize parameters in a model to best fit data, increase profitability of a possible engineering style, or meet another form of objective which will be described mathematically with variables and equations.

 

pyOpt is a Python-based package for formulating and solving nonlinear constrained optimization problems in an efficient, reusable and portable manner. Python programming uses object-oriented concepts, such as class inheritance and operator overloading, to maintain a distinct separation between the problem formulation and the optimization approach used to solve the problem.

 

All optimisation downside solvers inherit from the Optimizer abstract category. The category attributes include the solver name (name), an optimizer kind symbol (category), and dictionaries that contain the solver setup parameters (options) and message output settings (informs). The class provides ways to check and alter default solver parameters (getOption, setOption), as well as a method that runs the solver for a given optimisation problem (solve).

 

Optimization solver

A number of constrained optimization solvers are designed to solve the general nonlinear optimization problem.

  1. PSQP: This optimizer is a preconditioned sequential quadratic programming algorithm. This optimizer implements a sequential quadratic programming method with a BFGS variable metric update.
  2. SLSQP: This optimizer is a sequential least squares programming algorithm. SLSQP uses the Han–Powell quasi-Newton method with a BFGS update of the B-matrix and an L1-test function in the step-length algorithm. The optimizer uses a slightly modified version of Lawson and Hanson’s NNLS nonlinear least-squares solver.
  3. CONMIN: This optimizer implements the method of feasible directions. CONMIN solves the nonlinear programming problem by moving from one feasible point to an improved one by choosing at each iteration a feasible direction and step size that improves the objective function.
  4. COBYLA: It is an implementation of Powell’s nonlinear derivative–free constrained optimization that uses a linear approximation approach. The algorithm is a sequential trust–region algorithm that employs linear approximations to the objective and constraint functions.
  5. SOLVOPT: SOLVOPT is a modified version of Shor’s r–algorithm with space dilation to find a local minimum of nonlinear and non–smooth problems.
  6. KSOPT: This code reformulates the constrained problem into an unconstrained one using a composite Kreisselmeier–Steinhauser objective function to create an envelope of the objective function and set of constraints. The envelope function is then optimized using a sequential unconstrained minimization technique.
  7. NSGA2: This optimizer is a non-dominating sorting genetic algorithm that solves non-convex and non-smooth single and multiobjective optimization problems.
  8. ALGENCAN: It solves the general non-linear constrained optimization problem without resorting to the use of matrix manipulations. It uses instead an Augmented Lagrangian approach which is able to solve extremely large problems with moderate computer time.
  9. FILTERSD: It use of a Ritz values approach Linear Constraint Problem solver. Second derivatives and storage of an approximate reduced Hessian matrix is avoided using a limited memory spectral gradient approach based on Ritz values.

 

To solve an optimization problem with pyOpt an optimizer must be initialized. The initialization of one or more optimizers is independent of the initialization of any number of optimization problems. To initialize SLSQP, which is an open-source, sequential least squares programming algorithm that comes as part of the pyOpt package, use:

>>> slsqp = pyOpt.SLSQP()

This initializes an instance of SLSQP with the default options. The setOption method can be used to change any optimizer specific option, for example the internal output flag of SLSQP:

>>> slsqp.setOption('IPRINT', -1)

Now Schittkowski’s constrained problem can be solved using SLSQP and for example, pyOpt’s automatic finite difference for the gradients:

>>> [fstr, xstr, inform] = slsqp(opt_prob,sens_type='FD')

By default, the solution information of an optimizer is also stored in the specific optimization problem. To output solution to the screen one can use:

>>> print opt_prob.solution(0)

 

Example:

The problem is taken from the set of nonlinear programming examples by Hock and Schittkowski and it is defined as

=======================================================================

      min            − x1x2x3

     x1,x2,x3

 

subjected to     x1 + 2x2 + 2x3 − 72 ≤ 0

                        − x1 − 2x2 − 2x3 ≤ 0

 

                        0 ≤ x1 ≤ 42

                        0 ≤ x2 ≤ 42

                        0 ≤ x3 ≤ 42

 

The optimum of this problem is at (x1∗ , x2∗ , x3* ) = (24, 12, 12), with an objective function value of f ∗ = −3456, and constraint values g (x∗ ) = (0, −72).

 

#======================================================================

# Standard Python modules

#======================================================================

import os, sys, time

import pdb

#======================================================================

# Extension modules

#======================================================================

#from pyOpt import *

from pyOpt import Optimization

from pyOpt import PSQP

from pyOpt import SLSQP

from pyOpt import CONMIN

from pyOpt import COBYLA

from pyOpt import SOLVOPT

from pyOpt import KSOPT

from pyOpt import NSGA2

from pyOpt import ALGENCAN

from pyOpt import FILTERSD

 

#======================================================================

def objfunc(x):

   

    f = -x[0]*x[1]*x[2]

    g = [0.0]*2

    g[0] = x[0] + 2.*x[1] + 2.*x[2] - 72.0

    g[1] = -x[0] - 2.*x[1] - 2.*x[2]

   

    fail = 0

    return f,g, fail  

 

#======================================================================

# Instantiate Optimization Problem

opt_prob = Optimization('Hock and Schittkowski Constrained Problem',objfunc)

opt_prob.addVar('x1','c',lower=0.0,upper=42.0,value=10.0)

opt_prob.addVar('x2','c',lower=0.0,upper=42.0,value=10.0)

opt_prob.addVar('x3','c',lower=0.0,upper=42.0,value=10.0)

opt_prob.addObj('f')

opt_prob.addCon('g1','i')

opt_prob.addCon('g2','i')

print opt_prob

 

# Instantiate Optimizer (PSQP) & Solve Problem

psqp = PSQP()

psqp.setOption('IPRINT',0)

psqp(opt_prob,sens_type='FD')

print opt_prob.solution(0)

 

# Instantiate Optimizer (SLSQP) & Solve Problem

slsqp = SLSQP()

slsqp.setOption('IPRINT',-1)

slsqp(opt_prob,sens_type='FD')

print opt_prob.solution(1)

 

# Instantiate Optimizer (CONMIN) & Solve Problem

conmin = CONMIN()

conmin.setOption('IPRINT',0)

conmin(opt_prob,sens_type='CS')

print opt_prob.solution(2)

 

# Instantiate Optimizer (COBYLA) & Solve Problem

cobyla = COBYLA()

cobyla.setOption('IPRINT',0)

cobyla(opt_prob)

print opt_prob.solution(3)

 

# Instantiate Optimizer (SOLVOPT) & Solve Problem

solvopt = SOLVOPT()

solvopt.setOption('iprint',-1)

solvopt(opt_prob,sens_type='FD')

print opt_prob.solution(4)

 

# Instantiate Optimizer (KSOPT) & Solve Problem

ksopt = KSOPT()

ksopt.setOption('IPRINT',0)

ksopt(opt_prob,sens_type='FD')

print opt_prob.solution(5)

 

# Instantiate Optimizer (NSGA2) & Solve Problem

nsga2 = NSGA2()

nsga2.setOption('PrintOut',0)

nsga2(opt_prob)

print opt_prob.solution(6)

 

# Instantiate Optimizer (ALGENCAN) & Solve Problem

algencan = ALGENCAN()

algencan.setOption('iprint',0)

algencan(opt_prob)

print opt_prob.solution(7)

 

# Instantiate Optimizer (FILTERSD) & Solve Problem

filtersd = FILTERSD()

filtersd.setOption('iprint',0)

filtersd(opt_prob)

print opt_prob.solution(8)

 

Solving non-linear global optimization problems could be tedious task sometimes. If the problem is not that complex then general purpose solvers could work. However, as the complexity of problem increases, general purpose global optimizers start to take time. That is when need to create your problem specific fast and direct global optimizer’s need arises.

 

We have an specialized team with PHD holders and coders to design and develop customized global optimizers. If you need help with one, please feel free to send your queries to us.

 

We first understand the problem and data by visualizing it. After that we create a solution to your needs.

 

Please do read to understand what a solver is and how it works - If you want to create your own simple solver. This is not exactly how every solver works, however, this will give you a pretty solid idea of what is a solver and how it is supposed to work.

APIs became so valuable it comprises an oversized part of several businesses’ revenue. Major companies like Google, eBay, Salesforce.com, Amazon, and Expedia are simply many of the businesses that build money from their APIs.

 

API stands for application program Interface. It refers to a group of tools, protocols or routines used for building applications. An API informs software how it should interact.

 

In other words, APIs are all about connection, and it’s a way to integrate data from one source into another source, such as a web service or mobile app.

An API defines functionalities that are independent of their various implementations, which allows those implementations and definitions to vary without compromising one another. Therefore, a decent API makes it easier to develop a program by providing the building blocks.

 

APIs allow developers to save lots of time by taking advantage of a platform’s implementation to try to work. This helps to reduce the number of code developers need to produce, and it helps produce a lot of consistency across apps for constant platform. APIs can control access to hardware and software resources.

 

Programmers tend to solve programming problems by more programming.

 

Why APIs are Important?

Now, you’re probably thinking there is no way major companies are handing out their valuable code and technology. But, you might be afraid that just about each major tech company think Facebook and Dropbox, simply to name a couple is giving away insights into their code and platforms, and this is what actually makes APIs so good.

 

Our Internet experience runs on APIs. Instead of accessing four different companies four separate times, we use one software to access all four at the same time.

 

  1. APIs is huge time saver: Have you ever logged into an application or a website using your Facebook account? It’s yet another example of how an API saves you the time of creating an account, and saves the company from creating a system from scratch.
  2. Businesses are creating apps that rely on APIs: One of the most famous company built on a foundation of APIs is the ride-sharing app Uber. Without its API connection to Twilio, the messaging platform, or Google Maps, the company would have never existed.
  3. APIs helps businesses: APIs can allow businesses, from startups to massive corporations, to concentrate on their core competencies without having to do the work that has already been done.

 

Types of APIs

There are various types of APIs, for example, you must have heard of Java APIs, or interfaces inside classes that allow objects talk over with one another within the Java programing language. Along with program-centric APIs, there are also internet APIs like the Simple Object Access Protocol (SOAP), Remote Procedure call (RPC), and maybe the most popular at least in name Representational State Transfer (REST). There are 15,000 publicly available APIs, according to Programmable web, and many thousands of more personal APIs that companies use to expand their internal and external capabilities.

 

Future of API experts

We already rely on APIs so much without us knowing. Whether we use an app to view current traffic or to check the weather, these apps frequently rely on APIs to pull apps data. With all co-dependence, it opens up realms of opportunities for applications to become integrated. It also allows developers and technology to advance much faster, because the internet and applications share information with each other.

There are currently over 15,000 public APIs available today and that number is expected to quadruple in the next four years, the opportunities for innovation are going to be endless.

We should not fear the future of APIs, but rather embrace the road, and let’s see where it takes us.

In every era, marketing has evolved based on what the customer is using. If you go back in history, you can see that at times when customers used Radio, it gave birth to radio advertising and marketing. Next, we got the boom of televisions, it is one of the widely used device globally, which allowed the companies to reach a mass audience with TV ads. Even today TV advertising is one of the most used advertising strategies for companies. Since the boom of the Internet, more customers started using the Internet, which gave birth to a new era of marketing originally called Internet marketing, which is now called Digital Marketing.

 

Now a days, we frequently hear the term Digital marketing we all think that we reasonably understand what actually it is. This thinking sometimes limits the scope and opportunity that the complete Digital marketing landscape will actually offer, which is why, when it involves nailing it down, we either turn dumbfounded or get stuck. To come out of such scenarios, it is important to know different types of Digital marketing opportunities that are available to your business. According to Salesforce, 75th of Total marketing Budget will head to Digital marketing.

 

Digital marketing depends upon the kinds of audience interactions. It revolves around managing and harnessing of various types of Digital marketing Channels and many varieties of Digital marketing services.

 

Digital marketing encompasses all marketing efforts that use an electronic device or the internet. Businesses leverage digital channels like search engines, social media, email, and their websites to connect with current and prospective customers.

Why companies use digital marketing?

  1. Internet Users: As per the internet usage stats, 40% of the world population is using the internet.
  2. Mobile Phones: Most of the users globally today use mobile phones for communication. As per a report 4.77 billion mobiles phone users globally, which will increase to 5.07 billion by 2019.
  3. Targeting the Audience: In traditional marketing strategies, it is very difficult to advertise to the target audience with specific demographics & details. Today with digital marketing we have so many customised & personalised methods to target the audience exclusively.
  4. Low Cost and High ROI: Most of the small and medium scale companies rely mostly on digital marketing strategies due to its low cost and high return on investment.

Digital Marketing Types

  1. Search Engine Optimisation: SEO is the process of optimising your website to "rank" higher in search engine results pages, thereby increasing the amount of organic (or free) traffic your website receives. The channels that benefit from SEO include Website, Blogs or Info-graphics.
  2. Content Marketing: CM denotes the creation and promotion of content assets for the purpose of generating brand awareness, traffic growth, lead generation, and customers. The channels that can play a part in your content marketing strategy include Blogs posts, Ebooks and whitepaper, info-graphics, online brochures and look-books.
  3. Social Media Marketing: SMM promotes your brand and your content on social media channels to increase brand awareness, drive traffic, and generate leads for your business. The channels you can use in social media marketing include Facebook, Twitter, Instagram, linked In, Snap-chat, or google+.
  4. Pay-Per-Click: PPC is a method of driving traffic to your website by paying a publisher every time your ad is clicked. One of the most common types of PPC is Google AdWords, which allows you to pay for top slots on Google's search engine results pages at a price "per click" of the links you place. Other channels where you can use PPC include Paid ads on Facebook, Promoted Tweets on Twitter.
  5. Email Marketing: Companies use email marketing as a way of communicating with their audiences. Email is often used to promote content, discounts and events, as well as to direct people toward the business's website.

Digital Marketing Strategies

Here is a list of five simple digital marketing strategies that any business owner can implement to help their business grow:

  1. Setting a goal: Digital marketing is a great way for small businesses to prosper, but going into the method blindly can leave you with a jumbled mess. A lot of strategy and precision goes into digital marketing and having a goal helps you recognise what to focus on.
  2. Creating a Marketing Funnel: The most successful businesses have a good marketing funnel in place. A marketing funnel is when you map out a customer’s journey from when a customer is a complete stranger to once they become a lead, then put certain methods in place that may encourage them to move through this funnel. Things like lead magnets, calls to action, opt-ins and offers are all effective pieces of a funnel. You’ll consider a marketing funnel in four parts: Awareness, Interest, Desire, and Action.
  3. Developing a call-to-action: A call-to-action (CTA) is a picture or text that prompts visitors to take action, like subscribe to a newsletter, read a webinar or request a product demo. CTAs should direct people to landing pages, wherever you'll collect visitors’ contact info in exchange for a valuable marketing offer. In that sense, an effective CTA results in more leads and conversions for your web site. This path, from a click on a CTA to a landing page, illustrates a lot of desired process of lead generation.
  4. Creating an Effective Lead magnet: The idea behind a lead magnet is to trade information. You supply something like a free download of a white paper, but in order to complete the download the individual has to fill out a form that will provide you with more information about them. You’ll use the information you gather to interact with them more as they progress through your funnel.
  5. Driving Traffic: There a variety of ways you can drive traffic to your website.
  • Quality Content: Use content like blog posts, press releases and articles on authority websites. Insert links to various places on your web site inside this content to create your brand name through exposure and drive traffic to your website.
  • Keyword Strategy: Inserting related keywords into content will help your content and website show up in more search results, this leads to higher volumes of web traffic.
  • Website Optimisation: Ensuring that your website is optimised and functioning at its best is essential. People don’t want to visit a website that doesn’t work properly.
  • Social Media: Use engaging social media posts to attract more traffic to your site. Using pictures, video, and other relevant media will help your posts get more engagement.

 

We have many different specialisations so you will have different options to start your career.

  1. Digital marketing strategist
  2. Digital marketing executive
  3. SEO analyst
  4. Social media specialist
  5. Google AdWords specialist
  6. Email marketing specialist
  7. Web Analyst
  8. Online reputation manager

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