We are one of the first players to genuinely introduce digital technology to transform the corporate services market, adding a new degree of efficiency, security, enforcement, and governance - while decreasing the cost of doing business massively

BlueMeg

bluemeg

Trusted by over 20,000 companies and 200,000 users, including these industry leading champions

BlueMeg builds governance software to manage legal entities in a digital world.

BlueMeg - Crunchbase Company Profile & Funding

Embrace the future of entity management with BlueMeg where leading-edge technology meets transformative success 💙 #corporategovernance #companysecretaries #entitymanagement #corporatedata #TCSP Yan Li Choo Jan-Arie Bijloos Boon Hui TENG James A. Butler Neha Bajpai JP Koolmees …see more

BlueMeg | LinkedIn

Information on valuation, funding, cap tables, investors, and executives for BlueMeg. Use the PitchBook Platform to explore the full profile.

BlueMeg Company Profile: Valuation & Investors | PitchBook

What makes BlueMeg stand out is ... enjoy a dedicated, secure and digital environment in which they can view and actively manage their companies and files. BlueMeg’s smart use of technology allows them to offer competitive pricing without compromising on quality and ...

BlueMeg - Corporate Services Review

BlueMeg has 5 employees at their 1 location. See insights on BlueMeg including office locations, competitors, revenue, financials, executives, subsidiaries and more at Craft.

BlueMeg Company Profile - Office Locations, Competitors, Revenue, ...

Corporate services. Incorporation. Online Console. Available in Singapore and Hong Kong.

BlueMeg: About us - Online Company Secretary & Corporate Services

BlueMeg provides cloud-based entity management and corporate governance Software-as-a-Service (SaaS) solutions. Its integrated software solution allows companies to transact and interact adeptly on the cloud, eliminating the paper-heavy execution of entity management and governance.

BlueMeg - Products, Competitors, Financials, Employees, Headquarters ...

Bluemeg Services solves logistics problems for companies across the globe and across industries, from the simple to the most complex. We are one of the world’s largest logistics platforms. Our global suite of services accelerates trade to seamlessly deliver the products and goods that drive ...

Bluemeg

It&#x27;s our business to grow yours! Own your market with leading B2B contact data combined with sales intelligence, engagement software, and workflow tools.

ZoomInfo: B2B Database | Company Contacts & Intelligence

Officially, BLUEMEG (SINGAPORE) PTE. LTD. is registered as Private Limited Company with its address 11 IRVING PLACE, #09-01, Singapore 369551. BLUEMEG (SINGAPORE) PTE. LTD. is a non-listed entity in the private market with no IPO filing

BLUEMEG (SINGAPORE) PTE. LTD. - Profile, contacts and insights ...

. List order based on GFCI 2018 (but in no particular order on blockchain) What makes a city an international financial hub? According to the Global Financial Centres Index (GFCI) ( ), many parameters add up, including the general business environment, financial sector development, infrastructure, human capital, among others. From Shenzen to New York, financial centers spur innovation beyond imagination. They serve as the genesis of tech and financial startups, pioneers of the Fintech industry, and centers where human capital create economies within cities. pdf But when it comes to the blockchain, the distributed ledger technology that powers digital currencies and is set to change business, governance, global trade, remittance, supply chains, and medicine among others, the story is different. Becoming a blockchain center of excellence is largely dependent on adoption, research, education, the level of friendly regulations, and the possible springing up of startups. Nevertheless, the cities that rule the financial world are still doing a lot in the blockchain and cryptocurrency ecosystem. Here’s how. New York It’s hard to find a big, world-class conglomerate that doesn’t have a presence in New York. Home to Wall Street, the motherland of the New York Stock Exchange, NASDAQ, some of the largest investment banks, U.S brokerages, birthplace and headquarters of some of the biggest fortune 500 and fortune 1000 companies, New York is undoubtedly a financial center that knows how to innovate. When it comes to the blockchain, the global city is not leaving it to the tech-oriented cities alone. Source: weekendpremium.it Beyond the event which brought many blockchain and cryptocurrency enthusiasts, startups, and developers together, New York has been home to many other conferences in the ecosystem, including Fintech World Blockchain & Tokenomics (February 2018), Crypto World Investment Conference (March 2018), Future of Fintech, and Blockchain Without Borders Token Expo 2018 among others. Blockchain Week NYC Conferences aside, New York has some of the top three investing in the distributed ledger technology, including Digital Currency Group, IDG Capital, and RRE Ventures. As a result, blockchain firms in New York received investments of around $181.4 million last year. The city is also home to vibrant blockchain startups such as BlockStack, Republic, TradeBlock, Gemini, MediaChain, and many others. venture capital firms With the highly interested in championing a blockchain environment in the city, New York is not leaving the blockchain ecosystem to tech-based cities alone and wishes to tap into the $7.7 billion expected to be spent in the industry by 2020. New York City Economic Development Corporation London Canary Wharf, Morgan Stanley, KPMG, and many other big conglomerates come from London. The city is a , a place where 40 percent of the world’s foreign equities are traded, 75 percent of Fortune 500 companies have offices here, the London Stock Exchange is the largest and most international stock exchange in Europe — and when it comes to the business world, London boasts of the most internationally diverse executive community. It’s no doubt the city is a financial center, and when it comes to the blockchain technology, London may be a little above New York…? world-class financial hub Photograph by Liz Pinchen @ fineartamerica.com London has been a host of many blockchain and cryptocurrency conferences, including the Blockchain International Show, World Blockchain Forum, London Blockchain Week, Finovate Europe, 2018 Crypto Investor Show, among others. Beyond these conferences, London’s friendly regulations, a strong judiciary, and an access to startup capital positions the city as the next global blockchain hub. Though the was created just in January 2018, the informal institution has already attracted some members of the House of Commons, and other members from both houses. The Big Innovation Centre, Deep Knowledge Analytics, and DAG Global released a report on the U.K’s blockchain potential, showing that the country could become a global hub for the distributed ledger technology as early as 2022. With London being at the center of affairs when it comes to finance and business in the country, the city would be a major player in the UK’s blockchain future. All Party Parliamentary Group on Blockchain London’s is friendly towards blockchain, making it a great city to register and run a blockchain startup. In 2011, Blockchain, provider of the most widely used Bitcoin API, 26 million plus wallets, which also handles more than $200 billion in transactions was born in London. The city is also home to some of the sexiest and most successful blockchain startups, including MedicalChain, BlockVerify, Electron, Credits, and Blockvue among others. Financial Conduct Authority With the blockchain set to transform many industries, London is not betting all in the financial and service provision sectors and is now researching into distributed ledger solutions. Hong Kong The southeastern China territory Hong Kong is a global financial hub, a major port, and an international shopping destination. The territory has the largest RMB clearing center in the world, second largest exchange market in Asia and fourth largest worldwide, and in 2017, was the second largest investor and host on FDI stock after the U.S, as well as the highest degree of since 1995. But what has this financial superpower got to show when it comes to blockchain technological advancement? economic freedom ©levungchopan/shutterstock/. Retrieved (hong-kong-hotels) From to real estate and regulatory oversight, Hong Kong, undoubtedly, is already one of the world’s blockchain hubs. In their annual report in June this year, the Hong Kong Securities and Futures Commission (SFC) said they will “keep a close watch” on ICOs and cryptocurrency. According to the commission, the ecosystem comes with risks and they will “intervene when appropriate”. In other areas, the agency that plays a central bank role in the region the Hong Kong Monetary Authority (HKMA) has had a partnership with the Singapore Central Bank to enhance global trade finance between the two financial powers. trade finance and international banking The Hong Kong government has also shown its plans towards the blockchain technology, announcing in November 2017 a blockchain-based trade finance mechanism as part of the Belt and Road Initiative of China. Additionally, the HKMA has also with Abu Dhabi Global Market (ADGM) for an opportunity to develop distributed ledger solutions. partnered Hong Kong has welcome some big cryptocurrency and blockchain players. Apart from some emanating from the region, others are setting up their operations there because of the not-so-tight regulation towards blockchain and cryptocurrencies. For instance, the Japanese messaging giant LINE set up a , as has BitMEX crypto exchange $10 million Hong Kong blockchain fund rents expensive offices in the region. The territory is home to some cool , including Coinsuper, CryptoBLK, BlueMeg, GateCoin, BitSpark, as well as many other projects yet to be launched. The region has also been host to many conferences, including the Toke2049, CoinGeek Conference, Blockchain Summit Hong Kong, and many others. blockchain and cryptocurrency startups and projects The regulatory environment exhibited towards cryptocurrencies and blockchain, as well as the recent coming to Hong Kong means the region is ready, perhaps more ready than all those on this list — for blockchain innovation. easing of immigration requirements for blockchain talent Loved the article? Please give the story a clap.

Blockchain Footprints In the 3 Most Powerful Global Financial Centers

Tapping into the Power of AI: Go Mobile's Blueprint for Winning the Battle for Customer Attention Welcome to our latest installment of "Behind the Startup," where we dive into the world of mobile marketing with Andrey Bluemental, Worldwide Managing Director. Discover the innovative strategies and technologies that set this agency apart from the rest, and learn how AI and predictive marketing are revolutionizing the industry. Join us as we explore the future of mobile marketing and uncover the trends that will shape 2023 and beyond. Behind the Startup: Meet Andrey Bluemental, the Mobile Marketing Maestro Taking Businesses to New Heights Hi Andrey Bluemental, great to have you here for our "Behind the Startup" series. What inspired you to create Go Mobile, and how did you get started in the field of global marketing? Ishan Pandey: We can see that there is a constantly growing trend for mobile marketing. That’s why we founded an agency specializing in mobile tools, specifically performance and media. Client requirements are getting stricter in matters of business KPIs, so we started investing in the development of our own technology that would meet this growing trend, and the purpose is to achieve higher effectiveness and automation of marketing. Andrey Bluemental: : Vested Interest Disclosure The author is an independent contributor publishing via our . Be it through direct compensation, media partnerships, or networking, the author has a vested interest in the company/ies mentioned in this story. HackerNoon has reviewed the report for quality, but the claims herein belong to the author. #DYOR brand-as-author program How does Go Mobile differentiate itself from other mobile marketing companies in the industry? Ishan Pandey: First off, we use a combination of creativity and technology to achieve maximum performance for our advertising campaigns. Though we place our bets on attracting experts for select tasks, we invest in technologies a lot as well. This way, we guarantee not only a high degree of expertise on the team and excellent client service, but also the efficiency that only technologies can provide. Andrey Bluemental: Secondly, we are more like business partners for our clients than just another marketing agency. Our goal is to make their businesses grow. Can you provide an overview of the services that Go Mobile offers to businesses looking to improve their mobile marketing strategies? Ishan Pandey: Modern digital marketing is a set of activities aimed at promoting a product or service. It may sound easy, but in practice, many entrepreneurs focus too much only on social networks, mobile advertising, or offline activities. This is understandable, since not every business has access to a wide range of on-staff specialists. Our agency employs more than 300 professionals responsible for various domains, including user acquisition (Web + App), advertising strategy & data analytics, retargeting, our own innovative tech solutions like Go NET & Go Predicts, KOL projects, and design. We work in each of these areas with full dedication and the same level of passion. More than so, our AI tools help us perform tasks 24/7. Andrey Bluemental: Can you discuss the technology and tools that Go Mobile uses to help businesses optimize their mobile marketing campaigns? Ishan Pandey: One of our products is the Go NET programmatic platform, developed by our specialists both for internal use and for other marketing agencies. The platform consists of a large toolkit, including instruments for quick setup and launch of new advertising campaigns, support for all types of creatives, predictive tools, contextual targeting, and brand lift methodology. Andrey Bluemental: Another B2B product is our Go Predicts solution that uses predictive analysis to improve the key metrics of ads. With the help of Go Predicts it becomes possible to rank consumers based on their potential business value in the future. This way, companies can focus on the audience that is most attractive to them. How does predictive marketing work? Is it possible to build an accurate marketing strategy and predict the campaign's result in a changing market? Ishan Pandey: Predictive marketing uses advanced data analytics and machine learning algorithms to analyze large amounts of customer data and predict future outcomes. This approach can help businesses identify new opportunities, improve targeting, and optimize marketing campaigns to achieve better results. Andrey Bluemental: The predictive marketing process typically involves several steps, including data collection and preparation, feature selection, model training, and deployment. Data sources can include customer demographics, behavior, and transactional data, as well as external factors like economic indicators and market trends. That being said, predictive marketing can be a powerful tool for businesses to optimize their marketing strategies and improve their chances of success on the broader market. By leveraging the latest technologies and techniques, businesses can gain valuable insights into their customers' behavior and preferences, and make data-driven decisions that help them attain better results. How does Go Mobile help businesses measure the success of their mobile marketing efforts, and what kind of metrics do you track? Ishan Pandey: We put a lot of emphasis on measuring the success of marketing efforts, since that is an integral part of delivering great quality of service. Our team delivers regular reports about ad campaign performance for each client, holds regular meetings to stay tuned with the clients’ team and discuss every aspect of the strategy, campaign optimization, and hypothesis testing. We share our expertise and help clients understand which marketing tools and approaches can grow their business and what could reduce marketing effectiveness. Andrey Bluemental: As for metrics, we work with any of them — CPI, CPA, CAC, LTV and classic CPC and CPM, as well as business metrics like the number of new clients, retention rates, and others. What kind of customer support and resources does Go Mobile provide to its clients? Ishan Pandey: We assemble an individual team for every client based on the company’s goals and objectives. The team usually includes a media buyer, personal account manager, strategist, creative, finance and legal teams. Andrey Bluemental: We also use our native technologies — a creative approval system and real-time dashboards customized for every client. The technology helps us collaborate with clients effectively and transparently, doing it like business partners, not on a client and a performer basis. How does Go Mobile stay up-to-date with the latest trends and best practices in mobile marketing? Ishan Pandey: In marketing, you are always in need of testing a new hypothesis. It relates to sources of traffic, marketing tools, new strategies and approaches, design, metrics, and so in. In some way, staying up-to-date with trends and best practices is our job. That is why we attend industrial conferences, organize webinars and meet-ups, and run collaborations with other agencies. All in the name of staying on par with global practices and accumulating experience. Andrey Bluemental: I also believe that the community plays an important role in improving the quality of products and creating new ones. GoMobile has its own digital community. We resort to our LinkedIn group to share experiences with marketing experts and thus propel ourselves to the next level with every acquired feedback. What tools are most effective for companies that seek to increase product sales? Has anything changed in the last 2-3 years? Ishan Pandey: The trend is apps nowadays, so it’s important to create connections between the web and mobile in terms of the target audience, communication channels, budget allocation and traffic sources for achieving more efficient business growth. Andrey Bluemental: The personalization of advertising has reached a new level and it is becoming more challenging to achieve that level due to the phasing out of cookies. Advanced analytics and an understanding of user behavior thus come to the forefront as the countermeasure. Businesses collect user information through their products and create more cases of real-time marketing — when marketing strategies adjust to the current agenda and news backgrounds, applying them in the favor of the brands. Two or three years ago, companies couldn't use AI and chatbots to improve customer service and increase their sales. Today, these tools are must-haves. Tools such as co-op websites and social networks remain unchanged, since they are still the first point of contact with potential clients, so the site must be optimized, and social networks must be filled with useful content and focus on consumer interests. What are your thoughts on the current status of artificial intelligence, and how do you see it evolving in the coming years? Ishan Pandey: I would say that artificial intelligence (AI) is a game-changing technology that has already made a significant impact on the marketing industry. AI has enabled us to automate many repetitive tasks, analyze large amounts of data, and provide personalized recommendations to customers, all of which have helped improve marketing efficiency. Andrey Bluemental: In the coming years, I believe that AI will continue to evolve and become even more sophisticated. We will see more businesses adopting AI-powered solutions, such as personalized chatbots that can provide a more human-like experience, and AI-powered recommendation engines for analyzing customer data to deliver hyper-personalized content and product offers. What will be the marketing trends in 2023? Do you advise your clients to use tools like ChatGPT? What should companies pay attention to if they want to win the battle for customer attention? Ishan Pandey: The key to surviving through 2023 is using the available marketing channels effectively. I expect that advertising will become more personalized, and video content will continue to be a reliable format for offering goods and services. Also, with the proliferation of smart speakers, voice search will be gaining prominence. The growing commitment of consumers to environmentally friendly products and production methods will also play a major role in shaping demand. Andrey Bluemental: Tech development is advancing at a rapid pace, but we see that truly impressive results can be achieved only through the collaboration of humans and AI. For example, ChatGPT is really changing the world, but it can solve real tasks only once very strict specifications have been provided. It’s just a system that belches out random results without the involvement of human expertise on the input end. The AI needs to be set up and applied correctly to be of maximum use and turn into a significant competitive advantage,  one that would allow a business to earn more. Don’t forget to like and share the story! Image credits: MidJourney.

Predictive Marketing: Crystal Ball of Digital Advertising Unveiled by Go Mobile's Andrey Bluemental

The PDF stands for Portable Document Format. The PDF provides flexibility, which means that it can be modified in any way the author desires. Today, we have access to many other great digital formats such as DOCX and PPTX. However, PDF is still widely popular due to its long history of success and wide compatibility with devices. Some people would argue that PDF is more convenient than these newer formats because it can be viewed on different devices without any conversion required. Sometimes the simplest of tasks can get complicated when it comes to PDFs, especially when we need to modify a PDF programmatically. In this article, we will cover common problems faced by developers and how to solve them. These are the common problems faced by developers while editing PDF documents programmatically in their applications. How do you customize or edit fonts on your printed documents with little or no effort? The proper way to print multiple pages on a single sheet. What features can be added or taken away from a PDF file? How do I create a PDF file that is not editable? One of the main problems with PDFs is that it's difficult to modify them. You need to know how it works to modify it and this makes the process complicated and time-consuming. Modifying PDF programmatically is not easy, but with the right tool, you can make the modification easier by reading the original file's metadata and extracting specific information from the source code of your system. So, in this article, I will talk about three PDF Generating libraries that developers must know for PDF modification purposes. 1. IronPDF: C# PDF Library IronPDF is a C# PDF library that allows for fast and efficient reading and writing of PDF files. It does not use external tools or SDKs for editing or interacting with the data. It can run with minimal memory usage and only requires .NET Framework 4.5 or higher and .NET Core 2.0 to function. It supports the latest version of the .NET Framework 7. When it comes to creating PDFs in the .NET core, there are plenty of libraries. However, when you have a complex project and need the best possible performance out of your PDF generation, IronPDF is an ideal choice. It's one of the most advanced and powerful PDF libraries available today. From encoding to security, IronPDF provides the same high-quality experience for developers as it does for end users. It is a standalone pdf component to use. IronPDF library can be used to create, edit and manipulate PDF files with just a few lines. It supports various kinds of operations for editing and manipulating PDF files including text extraction and text insertion in existing pdf files. The library has features that make it easier for developers to create secure, convenient, and customizable HTML to PDF conversions and modify pdf files. These features include pdf locks, editing restrictions, and pdf security. Developers also have access to an API for customizing the generated output without having to use any additional software or hardware. Some of its features include the ability to create responsive layouts; the creation of headers and footers; margins; and the conversion of images into PDFs. IronPDF also has tools for converting PDFs into XML, XPS, or JPG formats. You can also convert an HTML string or HTML file to a PDF document. IronPDF uses HTML strings to generate pdf documents. It makes PDF creation very easy. The main goal of IronPDF is to be a simple, yet powerful and flexible library for developers to use in creating PDF documents from images or other sources. Let's have a look at the code example of IronPDF. Code Example: HTML to pdf: using IronPdf;
 
var Renderer = new IronPdf.ChromePdfRenderer();
using var PDF = Renderer.RenderHtmlAsPdf("<h1>Html with CSS and Images</h1>")
PDF.SaveAs("pixel-perfect.pdf"); Images to PDF: // PM> Install-Package IronPdf
using IronPdf;
using System.IO;
using System.Linq;
 
// One or more images as IEnumerable. This example selects all JPEG images in a specific folder.
var ImageFiles = System.IO.Directory.EnumerateFiles(@"C:\project\assets").Where(f => f.EndsWith(".jpg") || f.EndsWith(".jpeg"));
 
// Convert the images to a PDF and save it.
ImageToPdfConverter.ImageToPdf(ImageFiles).SaveAs(@"C:\project\composite.pdf"); Headers & Footers: // PM> Install-Package IronPdf
using IronPdf;
 
 
IronPdf.ChromePdfRenderer Renderer = new IronPdf.ChromePdfRenderer();
 
 
 // Build a footer using html to style the text
 // mergable fields are:
 // {page} {total-pages} {url} {date} {time} {html-title} & {pdf-title}
 Renderer.RenderingOptions.HtmlFooter = new HtmlHeaderFooter()
 {
 
 MaxHeight = 15, //millimeters
 HtmlFragment = "<center>{page} of {total-pages}</center>",
 DrawDividerLine = true
 }; You have seen that the usage of this library is very easy and simple. It allows installation easily using NUGET packages. We can modify the existing pdf documents. For more tutorials, you can visit this . link License The free version is available for development purposes. IronPDF has variations in its pricing plan for individuals and companies. Let's have a look at the pricing plan. 2. PDFTron PDFTron C# is a pdf library that provides a variety of utility functions for creating, editing, and manipulating pdf documents. PDFTron C offers many features that are important to an organization’s digital transformation. The library’s high performance, easy installation, and portability make it an invaluable tool for companies wanting to create PDF documents. The feature-rich environment also ensures that companies can utilize PDF as a document format to their fullest potential. PDFTron C# pdf library is a powerful and intuitive library, which allows developers to create, modify and extract text from PDF files. This library is designed to be modular and as such can be used in any kind of project, not just software development. You can convert pdf documents to other formats. You can arrange PDF pages too. The new library addresses significant scalability issues existing in traditionally primitive methods of creating, storing, and manipulating digital soft documents. It will store the metadata along with resultant files in the native format while embedding the content into XML or JSON formats if necessary. This feature allows users to explore dynamic content from within modern computing environments without having to download cumbersome packages such as ZIP or RAR files before conversion. Let's have a look at the code examples: Code Example Insert Pages: PDFDoc new_doc = new PDFDoc();
int page_num = 15;
for (int i = 1; i <= page_num; ++i)
{
 PDFDoc in_doc = new PDFDoc(filename + "_split_page_" + i + ".pdf");
 new_doc.InsertPages(i, in_doc, 1, in_doc.GetPageCount(), PDFDoc.InsertFlag.e_none);
}
new_doc.Save(output_filename + "_merge_pages.pdf", SDFDoc.SaveOptions.e_linearized); Blank PDF: // use the empty constructor to create a blank PDF
PDFDoc doc = new PDFDoc();

// optionally perform some document processing using read write operations 
// found under 'Editing Page Content' or 'Page Manipulation'

// save the document to the filesystem
doc.Save(output_filename, SDFDoc.SaveOptions.e_linearized);

// optionally save the document to a memory buffer
byte[] buf = doc.Save(SDFDoc.SaveOptions.e_linearized); In the above examples, we can see that it is easy to use in our programs. Somehow, the parameters are looking difficult to understand for the beginner. PDFTron uses some advanced concepts. So, for the beginner, it will be a difficult task to understand its functions. But overall, PDFTron has good performance and output. License If we talk about its license, then we don't have any information because we have to contact support to discuss its pricing plan. 3. QuestPDF QuestPDF is a cutting-edge library that will allow you to make PDFs in your .NET application by offering a high-level, user-friendly API in C#. It has documentation that shows how to manipulate PDFs. There are also a bunch of examples and design patterns there to get you up and running quickly! This library is created for professionals to use when designing document layouts and considering pagination. Alternative approaches, such as HTML-based converters, are not designed for this and so often produce unpredictable results. QuestPDF was built using SkiaSharp, an open-source graphics library. The PDFs created by QuestPDF are high quality, meaning you'll get an exceptional result with less effort. It has a well-optimized layout engine that can generate more than 1000 PDF files per minute per core. It is also thread-safe. Let's take a look at QuestPDF and how we can use QuestPDF in our program. Code Example using QuestPDF.Fluent;
using QuestPDF.Helpers;
using QuestPDF.Infrastructure;

// code in your main method
Document.Create(container =>
{
 container.Page(page =>
 {
 page.Size(PageSizes.A4);
 page.Margin(2, Unit.Centimetre);
 page.Background(Colors.White);
 page.DefaultTextStyle(x => x.FontSize(20));
 
 page.Header()
 .Text("Hello PDF!")
 .SemiBold().FontSize(36).FontColor(Colors.Blue.Medium);
 
 page.Content()
 .PaddingVertical(1, Unit.Centimetre)
 .Column(x =>
 {
 x.Spacing(20);
 
 x.Item().Text(Placeholders.LoremIpsum());
 x.Item().Image(Placeholders.Image(200, 100));
 });
 
 page.Footer()
 .AlignCenter()
 .Text(x =>
 {
 x.Span("Page ");
 x.CurrentPageNumber();
 });
 });
})
.GeneratePdf("hello.pdf"); Its syntax is very difficult to understand for the beginner. In the above example, we can see how complex its structure is in comparison to IronPDF and PDFTron. You have to write a lot of code lines to perform simple operations. But it is free for production. So, it is a plus point. License If we are talking about a license then its license comes under the MIT license. It is open source right now. So, developers can use it for free. But its features are limited. It has not a large variety of operations. It offers some basic operations. Conclusion In last words, I will compare the pricing plans of these libraries. IronPDF has 3 pricing plans from individual to company. It is free for development and has a 30-day free trial too. The prices are very reasonable. It starts from $499 only. PDFTron has a pricing plan too but it is not visible. You have to contact support to get any information about the price. So, there is a chance that they vary prices from person to person. QuestPDF is totally free but its functions are limited. It has no very complex functionalities. It offers only basic functionalities. Choosing the PDF library depends on you. You can buy it according to your needs. But IronPDF is the cheapest and fully functional library that I have used.

The 3 C# PDF Libraries Every Developer Must Know

Las 3 bibliotecas PDF de C# que todo desarrollador debe conocer

If you’ve come across this article, you probably need to read somebody’s messages on WhatsApp or view shared media files. In this article, you’ll find the best 7 ways to hack WhatsApp chats. I recommend you to look through all of them and choose the one that meets your technical skills and monitoring needs. DISCLAIMER: The article is intended to be used and must be used for informational purposes only. 1. Hack WhatsApp by syncing the web version with the device via the QR code. The main WhatsApp vulnerability is the web version of the service known as WhatsApp Web. To access the target’s account, all you need to do is to accurately configure WhatsApp analog in the web browser and, further, use the captured data for your own purpose. The only con of this hacking method is a requirement of physical access to the target smartphone. However, it’s necessary only for a moment. To hack WhatsApp, do the following: 1. Decide how you are going to read the target’s chats: from your PC or smartphone. 2. If you want to access the messages from your desktop, simply open the of the website and enable the “keep me logged in” option. web version 3. If you want to view WhatsApp chats on your smartphone: install a special app on your smartphone allowing you to launch the web version. Go to Play Market, enter “WhatsWeb” in the search, find the app, and install it. 4. The most challenging step. Access the target device. If the device is password-protected, this would be rather difficult :) The target device must be online otherwise you’ll fail to hack the messenger and read WhatsApp chats. WARNING! 5. Once you access the target smartphone, go to WhatsApp > Menu > WhatsApp Web. Now use the target device to from WhatsApp Web on your own device. Please note that for privacy reasons, the QR code data is changed once a minute so you should scan the code within this time frame. scan the QR code As a result, you’ll access all chats, dialogue history and contacts of the hacked WhatsApp profile. The advantages of this WhatsApp hacking method include the fact that the profile owner will never guess that they are tracked. But note that if the target goes to the WhatsApp Web menu in the app, they’ll notice that the PC version is also opened. Anyway, the target likely won’t guess that the chats are being monitored by a stranger. 2. Spy on WhatsApp messages by exporting a chat history to your email. This method is similar to the first one and it suits you in case you have less than a minute to access the target device secretly. Only half a minute is required to hack one’s WhatsApp but it enables you to read just the chat that was not removed by the target. Online monitoring of chats is impossible in this case. 1. Run WhatsApp on the target device and open the chat you want to read. 2. You’ll find the Menu icon in the upper right corner of the chat. Tap More > Export chat. 3. Then select exporting the chat with or without media. 4. Select Gmail, enter your email address, and tap “Export”. If you’ve selected chat with media files, all photos, videos, and audios will be attached to the email and the texts from chats will be uploaded in the txt format. 3. Hack WhatsApp with POCWAPP PullOutCorrWhatsApp (also known as POCWAPP or POC WhatsApp) was developed by Chinese hacker “liuhong01”. With this program, Whatsapp can be hacked remotely and the cybercriminal can hack several accounts at once. For now, the program is compatible with Android only. The app is paid and can be found in DarkNet, the cost is unknown since the data is private. How the program works: it identifies the user by the phone number and finds their id number in the server, bypassing the device and cloud storage. It analyzes the size of the whole chat history (with all media files), excluding the content of voice calls. Further, the app uploads the data to its temporal server and decrypts it. Once uploaded, every user’s chat history is available for saving on your smartphone. The device owner has no idea that the copy of their chat history has been leaked from the server and keeps using the messenger. POCWAPP can process up to 15 users within 1 connection to the servers. To hack WhatsApp with this program, it’s obligatory to have a good Internet connection. 4. Monitor the target’s WhatsApp chats with WSP 3.0 - WhatsApp Scan Pro Hacking WhatsApp remotely without access to the device is also possible with WhatsApp Scan Pro. The WSP builder creates a file virus hidden in a photo with a link. It’s desirable to use the target’s photo so that they get interested and open the file. The criminal sends the photo to the victim via WhatsApp > the virus file is opened on the target device > WSP blocks the backdoor in the background, connects to the builder and starts receiving the QR codes that are scanned in the victim’s messenger. These QR codes are updated every 10 seconds and the server (builder) monitors the scanning process. Once connected to the victim’s device, the hacker leaks the target’s session remotely. As usual, a good Internet connection is a must. 5. Track WhatsApp with Bluetooth Thanks to the “blue” technologies, you can easily access one’s WhatsApp when you’re close to the target device (5-50 meters). In this case, data is transmitted on an unattainable frequency, excluding any hacking “fingerprints”. There are many programs that can bypass smartphone security via active Bluetooth but none of them can run the device from the developer’s name. The most powerful solution here is WhatsApp - BlueMesCrack 2.0. The pricing is $300-400 per year but the program is worth trying. The hacking process consists of 5 steps: detection, scanning, vulnerability testing, hacking, and data transmission. 6. Hack WhatsApp without Access to the Phone Using Spoofing Method To hack WhatsApp following this method, you should access the target device and find some necessary data. First of all, remove the WhatsApp messenger out of your device. Next, use to find the address of the target smartphone: the guide to hack an Android smartphone, open Settings> About Phone> Status> Wi-Fi MAC Address; to access WhatsApp on an iPhone, open Settings> General> About> Wi-Fi Address. Then you need to install Busy Box and Terminal Emulator on your smartphone and with the help of these apps, change the Wi-Fi MAC Address on your device to the address of the target device. After it, install WhatsApp and enter the phone number of the target device. Get the verification code on the target device and then delete it. Finally, simply login to the target’s WhatsApp account with the verification code. 7. Use a WhatsApp Spy app This is the easiest way to hack one’s WhatsApp chats and messages since you don’t need to configure any settings yourself - a tracking app will do everything for you. Modern can easily track WhatsApp texts, shared media, contacts, and voice calls and send the recorded data to your online account, meaning that you’ll monitor the IMs remotely from any device. WhatsApp spy apps Further, spy apps usually offer some extra features like listening to live surroundings, screen recording, camera control, keylogging, screenshots, recording of chats in other apps like Line, Viber, Tinder, Facebook, Snapchat, Instagram, and more. WhatsApp spy apps are suitable both for iOS and Android and are available on open sources. But note that some tracking apps require rooting/jailbreaking the target smartphone. One of the few solutions that don't require root and are easy to install is . It's suitable for WhatsApp messages tracking and checking attached media files. EvaSpy Hope this article is helpful. If you know some other WhatsApp hacking methods, share your experience in the comments below. Agree or disagree with some of the ideas presented in this article? Let us know your thoughts on Digg . Looking for more WhatsApp articles? Subscribe to our newsletter in the footer below!

How do You Hack Whatsapp Chats? - 7 Vulnerabilities Explained

¿Cómo hackear los chats de Whatsapp? - 7 vulnerabilidades explicadas

I figure since you have found yourself navigating to this page that you probably have a good amount of data that you are looking to analyze, and you may possibly be wondering the best and most efficient way to answer some of your questions about your data. The answer to your questions can be found with the use of the python package: Pandas. How to access Pandas Due to the popularity of Pandas it has its own conventional abbreviation, so anytime you are importing pandas into python, use the nomenclature below: pandas pd import as Primary Use of Pandas package is the DataFrame The pandas API defines a pandas dataframe as: Two-dimensional, size-mutable, potentially heterogeneous tabular data. Data structure also contains labeled axes (rows and columns). Arithmetic operations align on both row and column labels. Can be thought of as a dict-like container for Series objects. The primary pandas data structure. Basically, all that means is that you have data contained in the format to what you see below. Data found in rows and columns: Example dataframe with labels for data, rows and columns. Dataset from https://www.kaggle.com/yamaerenay/spotify-dataset-19212020-160k-tracks DataFrames are extremely useful because they provide a simple method to print a table visualization and then manipulate it the way you want it to be. The rows can be easily referenced by the index which are the numbers on the far left of the dataframe. The index will be the corresponding row’s number starting at zero, unless you specify names to each row. The columns can also be easily referenced by the column name such as “Track Name” or by their position in the dataframe. We will talk in more detail about referencing rows and columns later in this article. Creation Time! Photo by Rhett Wesley on Unsplash There are several ways to create a pandas dataframe: Import data from a .csv file (or other file type e.g. Excel, SQL database) from a list from a dictionary from a array numpy many, many more! In general, you will mainly be putting data from a .csv file, or some type of data source (i.e. SQL database), into a pandas dataframe. You will not be making it from scratch since that would take an insanely long time to do depending on the amount of data you have. However, in the off chance that you need to, here is a quick, simple example from a python dictionary: pandas pd
dict1 = { : [ , , ], : [ , , ]}
df = pd.DataFrame(dict1)
df import as 'Exercises' 'Running' 'Walking' 'Cycling' 'Mileage' 250 1000 550 Output: Basic dataframe made from code above The dictionary keys (‘Exercises’ and ‘Mileage’) become the corresponding column headers. The values in the dictionary being the lists in this example became the individual data points in the dataframe. The order that the lists are in matters since Running will be placed in the first row since it is first in the ‘Exercises’ list and 250 will be placed in first row in the second column since it is first in the ‘Mileage’ list. Also, you will notice that since I did not specify labels for the index of the dataframe it automatically was labelled 0,1, and 2. However, like I said before the most likely way that you will be creating a pandas dataframe is from a csv or other type of file that you will import in to analyze the data. This is easily completed with just the following: = pd.read_csv( ) df "file_location.../file_name.csv" pd.read_csv() is an extremely strong and versatile method and will be extremely useful depending on how you are looking to import your data. If your csv file already comes with headers or an index, you can specify this while importing and make you life so much easier. In order to understand the full ability of pd.read_csv() I suggest you look at the pandas API . here First things first Now, you have imported your data into your python editor and you are ready to analyze it. However, before we get to the juicy part of answering your analytical questions you have to become familiar with your data and see what it looks like. As the person who is analyzing this data, you have to become comfortable with the dataset. There are four methods that I love to use in order to get to know my data and which pandas makes super easy. .head() & .tail() info() .describe(). .sample() () raw_song .head The line above is the line that I have in the picture at the top of the page. It will display the first 5 lines of the dataframe and each of the columns to give you an easy summary of what the data looks like. You can also specify a certain number of rows inside the () of the method to show more rows if your heart so desires. .head() method on song data from Spotify dataset .tail() is the same just displaying the last 5 lines. raw_song.tail() .tail() method on song data from Spotify dataset From these two quick methods, I have a general idea or the column names and just what the data looks like just from a small sample of the dataset. These methods are also really useful especially given a dataset such as the Spotify dataset working with over 3 million rows, you can easily display the dataset and get a quick idea, and it won’t take your computer a long time to display the data. .info() is also useful in that it shows me a succinct list of all of the columns, their datatypes, and whether you have any null datapoints or not. raw_song.info(verbose=True, null_counts=True) .info() method on song data from Spotify dataset If you have completely integer or float columns (i.e. ‘Position’, ‘Streams’), then .describe() can be a useful method to understand more about your dataset as it will show many descriptive statistics about those columns. () raw_song .describe .describe() method on song data from Spotify dataset. Notice that only ‘Position’ and ‘Streams’ columns are shown since they were the only two integer columns, the other columns are strings and do not have descriptive stats. Lastly, .sample() will allow you to randomly sample your dataframe and see if any manipulation that you made has incorrectly changed something in your dataset, and can also be great when first exploring your dataset just to get an idea of what the dataset contains exactly that was not already shown in the previous methods. raw_song.sample( ) 10 .sample() method on song data from Spotify dataset. I use each of these methods consistently while exploring and preparing my datasets for analysis. Anytime I change the data in a column, change a column name, or add/delete a row/column I will then make sure it all changed the way I wanted it to by quickly running at least some of the previous 5 methods. Selecting a Row(s) or Column(s) Awesome, now you know how to look at your dataset as a whole, but you really just want to look at a few columns or a few rows and get the rest out of your way. .loc[] and .iloc[] These two methods will do exactly that just in different ways depending on the way in which you are able to reference a certain row or column. If you know the label of a row or a column, use .loc[]. If you know the index of a row or a column, use .iloc[]. If you know both, just pick your favorite, flip a coin, or use the one that you know will not potentially change. For example, if you add rows or columns to your dataframe the index will change on these rows/columns and may cause you to reference the wrong row/column later. Thus, going back to the Spotify dataset. You can just look at the column “Track Name” by using either .loc[] or .iloc[]. With .loc[] since I know the label of the column I would use the following: raw_song.loc[:, ] 'Track Name' The colon after the first bracket specifies which rows I am referencing, and since I want all rows in the “Track Name” column, I am using the “:”. .loc[] I will receive the same output with .iloc[] only this time the index of the “Track Name” column needs to be specified: raw_song .iloc [:,1] .iloc[] .loc[] and .iloc[] work the same for rows, except in this case since both the labels and the indices for the rows are the same, they would look exactly the same. Slicing and Dicing Photo by Annie Spratt on Unsplash Another easy way to get a portion of the DataFrame is just by using [] and specifying the column name inside of the brackets. raw_song .head() [['Artist','Streams']] If you use only one column and one set of brackets you will receive a Pandas Series. raw_song[ ] 'Streams' Adding Rows, Columns from a DataFrame Utilizing what we already know from .loc[] we can use this to add a row or a column to a dataframe. You can also add columns in two other ways using .insert() or by acting as you are adding a slice of a dataframe and specifying the name of the column inside square brackets []. If you are trying to add multiple rows and columns you can create a separate dataframe and join this new dataframe of the new column or row to your original dataframe to add that column or row. To do so you would use pd.merge(), concat(), or join(); however, further discussion and examples of these methods will be discussed in a future article and are outside the scope of this post. Adding a row: If you decide to use .loc[] to add a row to a dataframe, you are only able to add it to the bottom of the dataframe. Specifying any other index in the dataframe with erase the data that is currently in that row and replace it with the data that you are inserting. In this example, I just name a new index as ‘last’ and it shows up at the bottom of the dataframe. Notice that it doesn’t have to be a specific name, just as long as it is not the same as any of the other indices. raw_song.loc[ ] = [ , , , , , , ] 'last' 0 'hello' 'bluemen' 1 "https://open.spotify.com/track/notarealtrack" '2017-02-05' 'ec' You can do the same to add a column to a dataframe using .loc[]. Once again, create a new name for the column unless you are trying to replace a column with new values. You must put either a single value that can be copied for all of the rows, or a list with the same length as the number of rows in the dataframe. raw_song [:, ] = raw_song.tail() .loc 'new_col' 0 .loc[] to add a column to the Spotify dataset. I used 0 to simplify the input. There are two other ways to insert a new column into your dataframe other than at the end. The method .insert() will allow you to specify where you would like the column to be placed into your dataframe. It takes 3 arguments, the index where it is to be placed, the name of the new column, and the values to be placed as the column data. raw_song.insert( , , )
raw_song.tail() 2 'new_col' 0 Using .insert() to make a new column in the Spotify dataset. The second way to add a column to your dataframe is by acting like it is a slice of the dataframe by using the [] to name the new column and have it equal the new data. raw_song[ ] = raw_song.tail() 'new_col' 0 adding a new column to the end of the dataframe In this way, I cannot specify the location of the new column, but is another useful way of performing the operation. Deleting Rows, Columns from a DataFrame Photo by Jan Tinneberg on Unsplash If you want to get rid of some rows or columns, it is simple, just drop them. Just specify which axis you would like to drop (0 for rows, 1 for columns) and the name of that row or column you would like to drop, and you are good to go! raw_song.drop(labels= ,axis= ) 'new_col' 1 .drop() allows for me to get rid of the “new_col” column I added in the previous section. Renaming Indices or Columns If you are looking to change the index of your dataframe to a different column in your dataframe then use .set_index() and specify the name of the column in the parentheses. However, if you know exactly what you would like to name your index use the .rename() method. raw_song.rename(index={ : }).head() 0 'first' The first index of this dataframe has been changed to “first” from 0 To rename a column specify in the .rename() method the column you want to rename and what you would like to name it inside the {} similar to the renaming the index. raw_song.rename(columns={ : }).head() 'Position' 'POSITION_RENAMED' The first column has been changed from “Position” to “POSITION_RENAMED” How to Iterate Over your DataFrame Many times when you are working with the data in your dataframe you will need to change the data in some way and iterate over all of the values in the dataframe. The easiest way to do so is already built into pandas along with a for loop: index, col raw_song.iterrows():
    # manipulate data here for in How to Write a DataFrame to a file After completing all of the manipulations to your dataframe, it is now time to export it so that you can send it elsewhere. Similar to importing the dataset from a file, it is now just the opposite. Pandas has a variety of different file types that you can write the dataframe to, but the most common is going to be to write it to a csv file. pd.to_csv( ) 'file_name.csv' Now you know the basics of Pandas and DataFrames. These are extremely powerful tools in your data analysis toolbox. Also published behind a paywall at https://towardsdatascience.com/an-introduction-to-pandas-29d15a7da6d

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