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Why Web Crawling Is Critical In Every Data Science Coding Project?

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Why Web Crawling Is Critical In Every Data Science Coding Project?

Web crawling plays a crucial role in the data science ecosystem to discover and collect data

To your surprise every single person today is a data agent. How? Well, everything a person does nowadays generate data, therefore every individual is a data agent. According to reports, there are 4.66 billion active internet users globally that have created 2.5 quintillion data bytes daily. The Data Science ecosystem uses internet data to create different solutions that can solve business problems. Web crawling plays a crucial role in the data science ecosystem to discover and collect data that can be used in a data science coding project. Many organizations are depended on a web crawler to collect data about their customers, products, and more. A data science coding project is created by formulating the business problem to solve and then followed by the second stage of collecting the right data to solve that problem. At this point, you can use web crawlers to collect the internet data that you need for your data science coding project.

 

What is web crawling?

Web crawling is the process of indexing data on on-site pages by utilizing a program or automated script. These automated scripts or projects are known by various names, including web crawler, spider, spider bot, and frequently abbreviated to the crawler.

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Web crawlers copy pages for processing by a search engine, which lists the downloaded pages so clients can look through them more productively. The objective of a crawler is to learn what webpages are about. This empowers clients to recover any data on at least one page when it’s required.

 

Why is web crawling important?

Thanks to the digital revolution, the total amount of data on the web has increased. In 2013, IBM stated that 90% of the world’s data had been created in the previous 2 years alone, and we continue to double the rate of data production every 2 years. Yet, almost 90% of data is unstructured, and web crawling is crucial to index all these unstructured data for search engines to provide relevant results.

According to Google data, interest in the web crawler topic has decreased since 2004. Yet, at the same time period, interest in web scraping has outpaced the interest in web crawling. Various interpretations can be made, some are:

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  • Increasing interest in analytics and data-driven decision-making are the main drivers for companies to invest in scraping.
  • Crawling done by search engines is no longer a topic of increasing interest since they have done this since the early 2000s
  • The search engine industry is a mature industry dominated by Google and Baidu, so few companies need to build crawlers.

 

Use Cases of Web Crawling in Data Science coding Projects

Web crawling is an integral part of your data science coding project. The following are some of the use cases of using web crawling in different data science coding projects.

 

1. Gather Social Media Data for Sentiment Analysis

Many organizations use web crawling to gather posts and remarks on different social media platforms like Facebook, Twitter, and Instagram. Organizations utilize the gathered information to survey how their brand is performing and find how their items or services are reviewed by their clients, it very well may be a positive survey, negative review, or unbiased.

 

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2. Gather Financial Data at Stock Prices Forecasting

The stock market is brimming with vulnerability, hence stock price forecasting is vital in business. Web crawling is utilized to gather stock cost information from different platforms for various periods (for instance 54 weeks, two years, and so on).

The stock price data gathered can be dissected to discover trends and other behaviors. You can likewise utilize the information to make predictive models to predict future stock prices. This will assist stockbrokers with settling on choices for their business.

 

3. Gather Real Estate information for Price Estimation

Assessing and ascertaining the cost of land is tedious. Some real-estate companies use data science to make a prescient model to foresee the costs of properties by utilizing historical data.

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These historical data are gathered from different sources on the web and extricated valuable data by utilizing web crawlers. Organizations likewise utilize this information to help their marketing strategy and make the right decisions.

For instance, an American online real estate company called Zillow has used data science to determine prices based on a range of publicly available data on the web.

 

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Codex Vs Programmers: Can The Text Generator Kill Coders?

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Codex Vs Programmers: Can The Text Generator Kill Coders?

Codex vs Programmers: Can the Text Generator Kill Coders?

As stated by the Open AI developers, Codex is not as efficient at understanding code as generating it.

Codex DNA, a pioneer in automated synthetic biology systems could encode DNA sequences digitally, and retrieve the stored information accurately afterward. Sounds like a great achievement though, the Codex technology is sending jitters among coders for its ability to code all by itself. This is AI powered coding, that can create a coding miracle at a cue. In the year 2021, Open AI released Codex, a new system that writes code only with simple prompts given as input in simple language. However, experts feel the time is far when programmers will be rendered redundant just because a system is smart enough to generate code.

A developer’s job is not confined to writing code:

Typically writing code takes less than 20% of a developer’s time. In a paper named ‘Evaluating Large Language Models Trained on Code’, OpenAI reveals many interesting facts which should be enough to put all the unreasonable aspersions of programmers at rest. In the paper, they say, “engineers don’t spend their full day writing code. Instead, they spend much of their time on tasks like conferring with the colleagues, writing design specifications, and upgrading existing software stacks.” It goes on to say that in a way it can help coders develop good code by letting systems do grunt coding work. This shouldn’t come as a surprise because developing a project requires so much trivial and repetitive coding. When it comes to job loss, around 20% of programmers may become redundant if at all Codex succeeds in generating genuine code. It will only happen the day when a non-coder can collaborate with codex to come up with the spec-sheet and develop a working piece of software. Experts do not see this day in any near future and there are many reasons why they think so.

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Is Codex really a programming application?

Codex is a direct descendant of GPT-3 model developed for generating code using few and easy inputs. The deep learning models are as good as the data fed to them. And ironically, GPT-3’s datasets didn’t contain any coding samples. Therefore, it is highly illogical to consider Codex as a programming application complete in itself. And further, as stated by the Open AI developers themselves, Codex is not as efficient at understanding code as generating it. Codex, like any other deep-learning language models, just captures statistical correlations between code fragments. It has also been observed that the efficiency of the deep learning model goes down with the increase of the number of variables it is fed with. Further elaborating on its inability to understand the very basic program structure, the paper states, “It can recommend syntactically incorrect or undefined codes and invoke variables and functions from outside the codebase.” At times it may even stitch up the pieces of code even if they don’t fit together. Moreover, the developers themselves stated Codex is successful in only 37% of the cases.

Can programmers and Codex co-exist?

Though OpenAI’s CTO and co-founder Greg Brockman is optimistic about Codex’s inclusivity, in seeing it as a tool to multiply programmers, experts see the entire picture from a different vantage point. In addition to assisting programmers in generating quality code, it will create a new breed of programmers called ‘prompt engineers.’ A prompt engineer is one who develops the appropriate prompt for the Codex application to generate the code. Daniel Jeffries, a tech-podcaster in future technologies opines that Codex might create hybrids between humans and AIs, called ‘centaurs’, like in a chess game, and do something faster and better together which either alone cannot.

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Top 10 Code Playgrounds Every Web Developer Should Try!

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Top 10 Code Playgrounds Every Web Developer Should Try!

Top 10 Code Playgrounds Every Web Developer Should Try!

Over the past couple of years several code playgrounds have popped up, here are the best ones for you

Whether you’re a beginner programmer or an expert developer, code playgrounds are useful when sharing and learning with others. These are web applications that allow real-time editing and previews of client-side codes: HTML, CSS, and JavaScript. Code playgrounds are online services where you can write, compile (or run), and share code with others. They also give you the ability to fork and play around with others’ codes. Through this, they can edit the code online, preview the work at each stage, may debug the error as well as test the cases of the snippets. Developers can share the code as well and see the changes they made in the code. On that note, this article lists the top 10 code playgrounds every web developer should try.

JS Bin

It provides an environment to build apps and assists to test the snippets of HTML and CSS. It allows you to edit the code and also, you can debug the code. Once you finalize the code, you may send it to a peer for review.

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JSFiddle

jsFiddle is a shell editor that eases writing JavaScript code by creating a custom environment based on popular JS frameworks. You can select the framework & the version of your choice (MooTools, jQuery, Dojo, Prototype, YUI, Glow, Vanilla). Also, if there is, you can add a complementary framework like jQuery UI or MooTools. A great feature is the ability to save & share the code created with a unique URL generated. Optionally, jsFiddle has an embedding feature too. It is an almost perfect platform for trying & sharing your JavaScript code without the need for a website.

Dabblet

Dabblet is an interactive playground for quickly testing snippets of CSS and HTML code. It uses -a prefix-free format so that you won’t have to add any prefixes in your CSS code. You can save your work in Github gists, embed it in other websites, and share it with others. It currently only supports modern versions of Chrome, Safari, and Firefox. All posted code belongs to the poster and no license is enforced. Dabblet itself is open-source software and is distributed under an NPOSL-3.0 license.

CodePen

CodePen is a playground for the front-end side of the web. It’s all about inspiration, education, and sharing. The service highlights popular demonstrations (“Pens”) and offers advanced functionality such as sharing and embedding. CodePen is great for building a reduced test case to demonstrate and figure out a bug.

CSSDesk

CSSDesk is an Online CSS Sandbox. It allows people to quickly test snippets of CSS code, and watch the result appear live. There are line numbers, and syntax highlighting appears in the text box as you type. One of the greatest things is that it allows users to share their code with others.

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Google’s Code Playground

Google’s Code Playground is a web-based tool that lets web developers try out all of the APIs that Google provides, tweak the code, and see the results. Google’s Code Playground lets you play around without opening an external editor, and all of the APIs are loaded for you in the Pick an API box

Editr

Editr is an HTML, CSS, and JavaScript playground that you can host on your server. It is based on ACE Editor. It is super easy to set up. It supports multiple instances on one page. Configurations are available via JS object or HTML attributes. Editr supports 3 layout views: horizontal, vertical, and single. The first two are for live edit. The third one is for presentation. Editr is licensed under MIT License.

Livewave

Liveweave is an HTML5, CSS3 & JavaScript playground and a real-time editor for web designers and developers. It is a great tool to test, practice, and share your creations. It has resizable panels so that you can write your code (or weave, as we call it) the way you want. Liveweave also has built-in context-sensitive code-hinting for HTML5 and CSS3 tags/attributes that makes life a lot easier.

D3 Playground

The D3.js Playground is designed to allow you to play with the D3.js library interactively. Every edit made (that results in invalid code) affects the playground in real-time. Because CSS is such an important part of visualizations, you can edit CSS live, too.

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HTML5 Playground

The HTML5 Playground includes a library of code snippets you can explore to see HTML5 in action. They include some basic getting-started examples, such as the use of the HTML5 Doctype and the audio tag (which nevertheless is a good demo of the playback features in a compatible browser). There’s an interactive form, including HTML5 elements such as range and date inputs and automated validation for email addresses and websites.

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Top 10 Coding Projects To Make Our Resume Stand Out In 2022

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Top 10 Coding Projects To Make Our Resume Stand Out In 2022

Top 10 Coding Projects to Make Our Resume Stand Out in 2022

These top coding projects in your resume will make you an eligible individual in the eyes of the hiring manager.

Having successful coding projects under your belt will definitely help you have a better shot at your dream job. IT and computer-related roles are in demand as employment in these fields is projected to increase by 13% from 2020 to 2030. In the rapidly growing tech industry, it’s essential to capture an employer’s attention when writing your programming resume and programming cover letter. Whether you’re new to coding or a seasoned programmer, having web projects on your resume highlights your technical skills and experience to employers while helping you stand out from the competition. Here are the top 10 coding projects that would make your resume stand out in 2022.

A simple website or blog

If you’re a beginner or self-learning web developer, start by creating a simple website or blog. To do this, you don’t need to know more than the basics of HTML, CSS, and JavaScript. But remember – your solution shouldn’t be too simple. There is Wix that does not require an ordinary user to be a genius to put together a site or blog piece by piece. So your task is to come up with something original. For example, you can think about site scaling possibilities and foresee them in your structure in advance. Or pay attention to the design. For example, create a sales-boosting website using graphic elements and motivating colors.

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An eCommerce website prototype

eCommerce websites are laborious to create since you need to come up with a lot of sections, listings, and integrations, and, most importantly, make outstanding user experience and a smooth sales funnel your top priority. We suggest focusing on one of your future store’s components and matching it with your best skills. For example, if you are good at user interface prototyping, suggest a prototype that will generate sales and profits. As for the technologies to use, everything will depend on your initial idea – you may create an eCommerce store in the form of a native app or a website powered by Shopify and other specific solutions.

A cryptocurrency wallet

A cryptocurrency wallet is also a reasonably simple solution, even though it may sound incomprehensible to someone who hears this term for the first time. To do it, it will be enough to use Bitcoin SDK or Coinbase SDK and synchronize your future wallet with the blockchain ecosystem using APIs. If you create an eCommerce website as your personal project, consider adding Bitcoin as a payment option. This is an advanced way to pay, and more and more websites will embed this function very soon.

A listing website

Obviously, you shouldn’t create a jaw-dropping solution like Zillow. However, you still should show your web development skills. To create such a solution, you need basic HTML/CSS and basic programming skills, plus design thinking abilities. More importantly, your personal listing shouldn’t be for listing accommodations only. For example, you may create an ad placement platform, a job board, or a car selling website.

A simple game

The most important thing in a game is dynamics and high-quality content. To prove your creative talents, come up with some really cool, interesting, and highly demanding characters that will meet the expectations of today’s gamers. Among the technologies you need for this is Unity 3D, Visual Studio, and C++.

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A data analysis model

Models for data analysis are in great demand, and what’s more, it’s not that hard to create one if you have a dataset. To further improve your self-presentation, create several data models that will work on the principle of regression analysis and classification.

A forecasting software

Predictive analytics is another capability of data analysis software. You may reuse your data analysis model explained in the previous paragraph to turn it into a predictive tool.

A chatbot

Creating chatbots is very simple. However, you may make your chatbot more innovative by enabling it with speech and image recognition functions.

A simple task manager

There is nothing complex about creating task management software like Trello or Evernote. Take these apps as an example, and come up with your solution. By creating this app, you could show how you understand the Kanban approach – this will be a significant plus for an employee who follows it. You are only a few clicks away from an outstanding cover letter. With our builder’s help, you may choose your core skills and competencies and get a customized cover letter automatically.

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Web scraping

Companies will be impressed if you show your understanding of web crawling to scan and capture data from a website, and even more so if you use web scraping to extract the data. You can use your automation skills and organizational skills to Scrape specific information from a website and give it a purpose, such as creating an Excel sheet or a website that uses your collected data.

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