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Top 27 Nest Developers on 18 Aug 2019 on Toogit. Nest Developers on Toogit are highly skilled and talented. Hiring Nest Developers on Toogit is quite affordable as compared to a full-time employee and you can save upto 50% in business cost by hiring Nest Developers on Toogit. Hiring Nest Developers on Toogit is 100% safe as the money is released to the Freelancer only after you are 100% satisfied with the work.

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Milan Vlaskovic Full Stack web/mobile developer, Serbia
$30 /hr
18 Years Exp.
0 Followers
I am a certified C#, ASP.NET MVC Developer having 18+ year experience.
Rajitha N.Netsuite Developer, India
$25 /hr
4 Years Exp.
0 Followers
I’m an experienced Netsuite developer who has 4+ years of experience in Netsuite development . I have rich experience in Netsuite Commerce/CRM/ERP an...Read More
Aires Kae Accounting Consultant, Philippines
$16 /hr
13 Years Exp.
0 Followers
A Certified Public Accountant with over twelve years of finance, operations, accounting, and IT experience earned in various industries such as consul...Read More
Joseph A.Customer Support Specialist, Philippines
$10 /hr
9 Years Exp.
0 Followers
An experienced individual with a demonstrated history of working in the information technology and services industry. Skilled in Customer Support, Cus...Read More
Geney C.Accountant/Financial Planner & Analyst, Philippines
$10 /hr
19 Years Exp.
0 Followers
- General Accounting/Bookkeeping - People Management - Internal Audit - Business Process Review and Improvement - Financial Planning & Analysis -...Read More
Veshik Senior Software Engineer, Mauritius
$15 /hr
7 Years Exp.
0 Followers
I'm a senior software engineer with 7+ years work experience in .net and java.
Annabelle Professional Accountant, Philippines
$8 /hr
14 Years Exp.
0 Followers
PROFESSIONAL EXPERIENCE * Profit & Loss Analysis and Trend Evaluation – Analyze monthly Profit and loss statements for each entity assigned and p...Read More
Rochelle A.Certified Public Accountant, Philippines
$6 /hr
6 Years Exp.
2 Followers
I am licensed Certified Public Accountant.I am proficient in creating working papers using MS excel.I have experience in bookkeeping, bank reconciliat...Read More
Raffy Senior Technical Consultant, Philippines
$30 /hr
5 Years Exp.
0 Followers
• IT professional with 3+ years of experience as NetSuite Technical Consultant, 5 years on using NetSuite covering all project phases including analys...Read More
Aadi H.Software developer (Netsuite), India
$20 /hr
3 Years Exp.
0 Followers
I am netsuite developer have 3+ yrs experience.
Jeff Senior Analyst FP&A, United Kingdom
$30 /hr
5 Years Exp.
0 Followers
I am a NetSuite Administrator with 2 years of experience focused on system optimization and process improvement. Overall, I have over 4 years of exper...Read More
Pratima Accountant, India
$10 /hr
8 Years Exp.
0 Followers
I am Bcom graduate, I am an expert in book keeping. My daily work is Invoicing , bank and customer reconciliation, banking transactions, online paymen...Read More
Mohan K.Dell Boomi, Integration and Salesforce expert, Australia
$50 /hr
9 Years Exp.
0 Followers
1) 9+ years of IT experience in Dell Boomi, Salesforce, Java, Oracle ERP, Fusion CRM, OBIEE etc.⠀⠀⠀ ⠀⠀⠀⠀ 2) Dell Boomi Process Developer1, Process De...Read More
Reethi Senior Financial Accountant / Analyst, India
$6 /hr
4 Years Exp.
0 Followers
I am a certified management accountant with 4 years of experience in accounting , book-keeping and financial analysis. I have worked on multiple accou...Read More
Pasoriya M.sbrc logistics, India
$28 /hr
2 Years Exp.
0 Followers
no certificate
Expert in Data Conversion, Data Migration, SQL Server, MySQL, MS Access, Dot Net, Vb Script, VBA Excel,JavaScript. Websites, Web & windows applic...Read More
Ankit V.PHP Developer, India
$15 /hr
0 Years Exp.
0 Followers
I am an avid learner and Sr. Software Engineer​ with approx 5.5 years of experience in Web Development. Bachelor of Technology from UPTU and a Polytec...Read More
Azeez Software Developer, Nigeria
$11 /hr
5 Years Exp.
0 Followers
I am an experience system and software developer with over 5 years experience in Java, C/C++, .Net Platform and web development
Harikrishnan V.Developer, India
$12 /hr
4 Years Exp.
0 Followers
I am experienced c# developer with SQL . Worked on professional enterprise applications development and maintenance. Expertise in effort reduction by...Read More
Himalay C.Software Engineer , India
$2 /hr
2 Years Exp.
0 Followers
I'm a software engineer having 2 years of experience in technologies like C#, .NET, WebAPI, AngularJS, Angular and SQL server and believes in giv...Read More
Faisal Rahman Senior Software Engineer, Indonesia
$22 /hr
11 Years Exp.
0 Followers
I am Software Engineer with more than 10 years experiences in develop of custom software for business purpose in wide range of Industry including Web...Read More
Dinesh B.SENIOR SOFTWARE ENGINEER, India
$104 /hr
9 Years Exp.
0 Followers
I am having 9 yr of Experiance in website devlopment using Microsoft technolgy Asp.net,c#,MVC,Javascript,JQuery,Knockout JS,Angular.currentlly I am wo...Read More
Iam a software developer in Ravneet Software.Iam into Data Entry,Web Design,SEO,Link Building,ASP.NET,PHP,SQL and Oracle9i. I worked for the Clients...Read More
Rakesh T.10+ Years Experience in .NET, India
$4 /hr
10 Years Exp.
0 Followers
I have 10 years of Experience in Microsoft Technology like C#, ASP.Net, MS-SQL. Scripting languages like JavaScript, Jquery, JSON.
Certified NopCommerce Developer Having more than 8+ Years of experience into Software Development for client-server, product development and web ba...Read More
Uday G.ASP.NET, ASP.NET-MVC, C#, Jquery, SQL Server, WPF, India
$10 /hr
0 Years Exp.
0 Followers
Expert Architect and Developer with over 4 years of experience. Highly proficient full stack web and mobile developer with hands on experience in deve...Read More
NET VBNET ASP C# 
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The importance of extracting information from the web is becoming increasingly loud and clear. Every few weeks, I realize myself in a situation where we need to extract information from the web to create a machine learning model. We have to pull or extract a large amount of information from websites and we would like to do it as quickly as possible. How would we do it without manually going to every web site and getting the data? Web Scraping simply makes this job easier and faster.

Why is web scraping needed?

Web scraping is used to collect large information from websites. But why does someone have to collect such large data from websites? Let’s look at the applications of web scraping: 

  1. Price Comparison: Services such as ParseHub use web scraping to collect data from online shopping websites and use it to compare the prices of products.
  2. Social Media Scraping: Web scraping is used to collect data from Social Media websites such as Twitter to find out what’s trending.
  3. Email address gathering: Many companies that use email as a medium for marketing, use web scraping to collect email ID and then send bulk emails.
  4. Research and Development: Web scraping is used to collect a large set of data (Statistics, General Information, Temperature, etc.) from websites, which are analyzed and used to carry out Surveys or for R&D.
  5. Job listings: Details regarding job openings, interviews are collected from different websites and then listed in one place so that it is easily accessible to the user.

 

Web scraping is an automated method used to extract large amounts of data from websites. The data on the websites are unstructured. Web scraping helps collect these unstructured data and store it in a structured form. There are different ways to scrape websites such as online Services, APIs or writing your own code.

Why Python is best for Web Scraping

Features of Python which makes it more suitable for web scraping:

  1. Ease of Use: Python is simple to code. You do not have to add semi-colons “;” or curly-braces “{}” anywhere. This makes it less messy and easy to use.
  2. Large Collection of Libraries: Python has a huge collection of libraries such as Numpy, Matlplotlib, Pandas etc., which provides methods and services for various purposes. Hence, it is suitable for web scraping and for further manipulation of extracted data.
  3. Dynamically typed: In Python, you don’t have to define datatypes for variables, you can directly use the variables wherever required. This saves time and makes your job faster.
  4. Easily Understandable Syntax: Python syntax is easily understandable mainly because reading a Python code is very similar to reading a statement in English. It is expressive and easily readable, and the indentation used in Python also helps the user to differentiate between different scope/blocks in the code.
  5. Small code, large task: Web scraping is used to save time. But what’s the use if you spend more time writing the code? Well, you don’t have to. In Python, you can write small codes to do large tasks. Hence, you save time even while writing the code.
  6. Community: What if you get stuck while writing the code? You don’t have to worry. Python community has one of the biggest and most active communities, where you can seek help from.

How does web scraping work

To extract data using web scraping with python, you need to follow these basic steps:

  1. Find the URL that you want to scrape
  2. Inspecting the Page
  3. Find the data you want to extract
  4. Write the code
  5. Run the code and extract the data
  6. Store the data in the required format

Example: Scraping a website to get product details

Pre-requisite:

  • Python 2.x or Python 3.x
  • Selenium Library
  • BeautifulSoup Library
  • Pandas Library
  1. We are going scrape online shopping website to extract the Price, Name, and rating of products, go to products URL
  2. The data is usually nested in tags. So, we inspect the page to examine, under which tag the information we would like to scrape is nested. To inspect the page, just right click on the element and click on “Inspect”. When you click on the “Inspect” tab, you will see a “Browser Inspector Box” open.
  3. Let’s extract the Price, Name, and Rating which is nested in the “div” tag respectively.
  4. Write code:

#Let us import all the necessary libraries

from selenium import webdriver

from BeautifulSoup import BeautifulSoup

import pandas as pd

driver = webdriver.Chrome("/usr/lib/chromium-browser/chromedriver")

products=[] #List to store name of the product

prices=[] #List to store price of the product

ratings=[] #List to store rating of the product

driver.get("Product_URL")

content = driver.page_source

soup = BeautifulSoup(content)

for a in soup.findAll('a',href=True, attrs={'class':'.…'}):

name=a.find('div', attrs={'class': '….'})

price=a.find('div', attrs={'class':'….'})

rating=a.find('div', attrs={'class':'….'})

products.append(name.text)

ratings.append(rating.text)

df = pd.DataFrame({'Product Name':products,'Price':prices,'Rating':ratings})

df.to_csv('products.csv', index=False, encoding='utf-8')

 

To run the code, a file name “products.csv” is created and this file contains the extracted data.

Now a days, the popularity of scientific computing environments such as IDL, Maple, Mathematica, Matlab and R has increased considerably. Engineer simply feel more productive in such environments. One reason is the simple and clean syntax of command languages in these environments. Another factor is tight integration of simulation and visualization in Maple, R and similar environments you can quickly and conveniently visualize what you just have computed. One problem with the mentioned environments is that they do not work, at least not in an easy way, with other types of numerical software and visualization systems. Many of the environment specific programming languages are also quite simple or primitive. At this point scripting in Python comes in.

 

Python offers the clean and simple syntax of the popular scientific computing environments, the language is very powerful, and there are lots of tools for simulation, visualization, and data analysis programs. Python allows you to build your own Matlab like scientific computing environment, tailored to your specific needs and based on your favorite high performance FORTRAN, C, or C++ codes.

 

Scientific Computing Is More Than Number Crunching: Many computational scientists work with their own numerical software development and realize that much of the work is not only writing computationally intensive number-crunching loops. Very often programming is about shuffling data in and out of different tools, converting one data format to another, extracting numerical data from a text, and administering numerical experiments involving a large number of data files and directories. Such tasks are much faster to accomplish in a language like Python than in FORTRAN, C, C++, and C#.

 

Scripting is particularly attractive for building demos related to teaching or project presentations. Such demos benefit greatly from a GUI, which offers input data specification, calls up a simulation code, and visualizes the results. The simple and intuitive syntax of Python encourages users to modify and extend demos on their own, even if you are newcomers to Python.

 

Python has some clear advantageous over Matlab and similar environments:

  • The Python programming language is more powerful.
  • The Python environment is completely open and made for integration with external tools.
  • A complete toolbox/module with lots of functions and classes can be contained in a single file.
  • Transferring functions as arguments to functions is simpler.
  • Nested, heterogeneous data structures are simple to construct and use.
  • Object-oriented programming is more convenient.
  • Interfacing C, C++, and FORTRAN code is better supported and therefore simpler.
  • Scalar functions work with array arguments to a larger extent (without modifications of arithmetic operators).
  • The source is free and runs on more platforms.

 

How to run Python script

One of the most important skills you need to build as a Python developer is to be able to run Python scripts and code. This is going to be the only way for you to know if your code works as you planned. It’s even the only way of knowing if your code works at all!

 

A Python script is a reusable set of code which is essentially a Python program or a sequence of Python instructions contained in a file. You can run the program by specifying the name of the script file to the interpreter. 

 

This step-by-step will guide you through a series of ways to run Python scripts, depending on your environment, platform, needs, and skills as a programmer. When you try to run Python scripts, a multi-step process begins. 

 

  1. Run Python Scripts Using the Command-Line: A Python interactive session will allow you to write a lot of lines of code, but once you close the session, you lose everything you’ve written. That’s why the usual way of writing Python programs is by using plain text files. By convention, those files will use the .py extension. Open a command-line and type in the word ‘python’ followed by the path to script file and press enter. You’ll see output on your screen.
  2. Run Python Scripts Interactively: It is also possible to run Python scripts and modules from an interactive session. This option offers you a variety of possibilities.
    • Taking advantage of import
    • Use importlib and imp
    • Use runpy.run_module()
    • Hacking exec()
    • Use execfile()
  3. Run Python Scripts from an IDE or a Text Editor: IDE offer the possibility of running your scripts from inside the environment itself. It is common for them to include a Run or Build command, which is usually available from the tool bar or from the main menu.
  4. Run Python Scripts From a File Manager: Running a script by double-clicking on its icon in a file manager is another possible way to run your Python scripts. This option may not be widely used in the development stage, but it may be used when you release your code for production.

 

After you play around with Python on your own or in an online tutorial, I highly recommend to you to write small scripts to strengthen your knowledge. To stay motivated, choose a program that is in some way useful to you, so you can gain insight while figuring out Python. Below are a few ways you can begin to build your expert level in Python script:

 

  • Python Documentation
  • Google and stackoverflow
  • Ask an experience person

 

First, create a very basic version end-to-end. It is much less frustrating than trying to build a super-duper version from scratch. A big plus is that you will have something you can use very fast. Then iterate and add more complex functionality one by one.

 

Second, decompose large problems to smaller ones by introducing functions. Small, cohesive functions are easy to understand, test and debug.

 

Last, but probably the most important thing to keep in mind, is practice makes perfect. Start small, be patient and practice. Happy coding!

Articles Related To Nest


 
Learn Web Scraping using Python
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The importance of extracting information from the web is becoming increasingly loud and clear. Every few weeks, I realize myself in a situation where we need to extract information...

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Python script for computational science
Python script for computational science
Scripts & Utilities

Now a days, the popularity of scientific computing environments such as IDL, Maple, Mathematica, Matlab and R has increased considerably. Engineer simply feel more productive in su...

Read More