Watch the video online: http://vimeo.com/79181633
Even in an agile world, specifications often go too far and describe solutions with too much details; all these premature decisions constraint the implementation and remove opportunities. There is a remedy: refactoring the specs, even before refactoring the code.
In the TDD cycle, refactoring is the art of restructuring the code to make it simpler, without changing its behavior at runtime. A key part of refactoring is to recognize and extract duplications.
Refactoring is very useful at the code level, and it is even more powerful when applied during business analysis or functional architecture. We will show how the practice of refactoring directly "at the business domain level" can simplify the problem, and therefore the resulting implementation code, by orders of magnitude. This means much less code to write, to test and to maintain, and much less defects as a result.
We will introduce 5 patterns on how to refactor at the business-domain level, such as "Make It Systematic" and "Degenerate Case". We will also explain some limits and the required mindset.
This approach of refactoring has been used on several real-world projects and is derived in particular from DDD and from Specification by Example.
Living Documentation (NCrafts Paris 2015, DDDx London 2015, BDX.io 2015, Code...Cyrille Martraire
What if documentation was as fun as coding? Always up-to-date? And what if it could even improve your design? Reconsider how you invest in knowledge to accelerate delivery, with a touch of Domain-Driven Design.
For more, get the book on Leanpub: https://leanpub.com/livingdocumentation
You have to deliver ambitious new features but your codebase is a huge mess of legacy technologies, with no test?
It is very tempting to throw it all away and rewrite everything from scratch, but is it wise when you consider the associated cost, risk and delayed time-to-market?
Through an experience report, we'll show a "Strangler Application" strategy where only carefully selected areas of legacy code are rewritten. Agile development techniques like BDD or TDD remain necessary, with some adjustments.
We'll also describe step by step the overall thinking process you can use to deal with large legacy code bases efficiently.
First presented at Agile France 2013, and in countless Brown Bag Lunches since, a best-seller!
Video (In French) here: http://www.infoq.com/fr/presentations/code-legacy
We often relate Domain-Driven Design with the content of Eric Evans' book; however even this book suggests looking outside for other patterns and inspirations: analysis patterns (Accounting, Finance), domain-oriented use of design patterns (the Flyweight pattern), established formalisms (e.g. monoids) and XP literature in particular (e.g. the patterns on the c2 wiki and OOPSLA papers).
The world has not stopped since the book either, and new ideas keep on emerging regularly. And you can share your own patterns as well.
In this session, through examples and code we'll go through some particularly important patterns which deserve to be in your tool belt. We'll also provide guidance on how best to use them (or not), at the right time and in the right context, and on how to train your colleagues on them!
How I Learned to Stop Worrying and Love Legacy Code.....Mike Harris
Legacy Code. I never wrote it; everybody else did!
How many times have you waded through an ageing, decaying, tangled forrest of code and wished it would just die?
How many times have you heard someone say that what really needs to happen is a complete rewrite?
I have heard this many times, and, have uttered that fatal sentence myself.
But shouldn’t we love our legacy code?
Doesn’t it represent our investment and the hard work of ourselves and our predecessors?
Throwing it away is dangerous, because, before we do, we’ll need to work out exactly what it does, and we’ll need to tweeze out that critical business logic nestled in a deeply entangled knot of IF statements. It could take us years to do, and we’ll have to maintain two systems whilst we do it, inevitably adding new features to them both. Yes we get to reimplement using the latest, coolest programming language, instead of an old behemoth, but how long will our new cool language be around, and who will maintain that code, when it itself inevitably turns to legacy?
We can throw our arms in the air, complaining and grumbling about how we didn’t write the code, how we would never have written it the way it is, how those that wrote it were lesser programmers, possibly lesser humans themselves, but the code still remains, staring us in the face and hanging around for longer that we could possibly imagine. We can sort it out, we can improve it, we can make it testable, and we can learn to love our legacy code.
A software editor in finance was facing the challenge to extend substantially the capabilities of its main application, despite 20 years of legacy in multiple technologies. In this talk, Cyrille Martraire will report on how DDD has been applied to capture deep models of the domain, within bounded contexts that emerged in the course of the project, and how DDD also helped to build a strategy for dealing with the legacy code.
The video is available on Skillsmatter website: http://skillsmatter.com/podcast/design-architecture/applying-ddd-legacy-app
Living Documentation (NCrafts Paris 2015, DDDx London 2015, BDX.io 2015, Code...Cyrille Martraire
What if documentation was as fun as coding? Always up-to-date? And what if it could even improve your design? Reconsider how you invest in knowledge to accelerate delivery, with a touch of Domain-Driven Design.
For more, get the book on Leanpub: https://leanpub.com/livingdocumentation
You have to deliver ambitious new features but your codebase is a huge mess of legacy technologies, with no test?
It is very tempting to throw it all away and rewrite everything from scratch, but is it wise when you consider the associated cost, risk and delayed time-to-market?
Through an experience report, we'll show a "Strangler Application" strategy where only carefully selected areas of legacy code are rewritten. Agile development techniques like BDD or TDD remain necessary, with some adjustments.
We'll also describe step by step the overall thinking process you can use to deal with large legacy code bases efficiently.
First presented at Agile France 2013, and in countless Brown Bag Lunches since, a best-seller!
Video (In French) here: http://www.infoq.com/fr/presentations/code-legacy
We often relate Domain-Driven Design with the content of Eric Evans' book; however even this book suggests looking outside for other patterns and inspirations: analysis patterns (Accounting, Finance), domain-oriented use of design patterns (the Flyweight pattern), established formalisms (e.g. monoids) and XP literature in particular (e.g. the patterns on the c2 wiki and OOPSLA papers).
The world has not stopped since the book either, and new ideas keep on emerging regularly. And you can share your own patterns as well.
In this session, through examples and code we'll go through some particularly important patterns which deserve to be in your tool belt. We'll also provide guidance on how best to use them (or not), at the right time and in the right context, and on how to train your colleagues on them!
How I Learned to Stop Worrying and Love Legacy Code.....Mike Harris
Legacy Code. I never wrote it; everybody else did!
How many times have you waded through an ageing, decaying, tangled forrest of code and wished it would just die?
How many times have you heard someone say that what really needs to happen is a complete rewrite?
I have heard this many times, and, have uttered that fatal sentence myself.
But shouldn’t we love our legacy code?
Doesn’t it represent our investment and the hard work of ourselves and our predecessors?
Throwing it away is dangerous, because, before we do, we’ll need to work out exactly what it does, and we’ll need to tweeze out that critical business logic nestled in a deeply entangled knot of IF statements. It could take us years to do, and we’ll have to maintain two systems whilst we do it, inevitably adding new features to them both. Yes we get to reimplement using the latest, coolest programming language, instead of an old behemoth, but how long will our new cool language be around, and who will maintain that code, when it itself inevitably turns to legacy?
We can throw our arms in the air, complaining and grumbling about how we didn’t write the code, how we would never have written it the way it is, how those that wrote it were lesser programmers, possibly lesser humans themselves, but the code still remains, staring us in the face and hanging around for longer that we could possibly imagine. We can sort it out, we can improve it, we can make it testable, and we can learn to love our legacy code.
A software editor in finance was facing the challenge to extend substantially the capabilities of its main application, despite 20 years of legacy in multiple technologies. In this talk, Cyrille Martraire will report on how DDD has been applied to capture deep models of the domain, within bounded contexts that emerged in the course of the project, and how DDD also helped to build a strategy for dealing with the legacy code.
The video is available on Skillsmatter website: http://skillsmatter.com/podcast/design-architecture/applying-ddd-legacy-app
Even in an agile world, specifications often go too far and describe solutions with too much details; all these premature decisions constraint the implementation and remove opportunities. There is a remedy: refactoring the specs, even before refactoring the code.
In the TDD cycle, refactoring is the art of restructuring the code to make it simpler, without changing its behavior at runtime. A key part of refactoring is to recognize and extract duplications.
Refactoring is very useful at the code level, and it is even more powerful when applied during business analysis or functional architecture. We will show how the practice of refactoring directly "at the business domain level" can simplify the problem, and therefore the resulting implementation code, by orders of magnitude. This means much less code to write, to test and to maintain, and much less defects as a result.
We will introduce 5 patterns on how to refactor at the business-domain level, such as "Make It Systematic" and "Degenerate Case". We will also explain some limits and the required mindset.
This approach of refactoring has been used on several real-world projects and is derived in particular from DDD and from Specification by Example.
5 Steps to Getting Organizational Buy-In for Your Enterprise Software ProjectJeff Carr
When looking for a new enterprise software system, your organization must begin your journey by making a business case for enterprise software. This involves numerous steps, including determining an expected return on investment, anticipating total costs, and fully documenting the business case for investing in a new or upgraded system.
Find out how manufacturing and distribution companies can drive an effective justification process with this presentation deck.
Explore five critical areas needed to justify one of the most complex and resource-intensive initiatives your company will face:
- Assess your internal environment
- Fully document your current state
- Clearly map your future state
- Get a handle on total costs of upgrade or new enterprise system
- Accurately calculate ROI
Wiring the IoT for modern manufacturingFlorent Solt
The IoT has the potential to create a renaissance of manufacturing in the US and elsewhere. The expected exponential increase in the amount of data that will be processed, transported, stored, and accessed means there will be a huge demand for smart technologies to deliver it.
Building Data applications with Go: from Bloom filters to Data pipelines / FO...Sergii Khomenko
Many people use Go for different projects: WebDev, DevOps or other general-purpose tasks. On another hand, with all the beauty and performance of the language it could be a good challenger for Data applications. In the talk, we will go through the common problems of Data Engineering. Starting with high-performance caching and probabilistic data structures like Bloom filters, CountMin or Hyperloglog. We will cover all stages of Data Pipelining like writing data producers for open source Apache Kafka or proprietary Amazon Kinesis or Google Pub/Sub with further data consuming and processing.
The talk covers real-life use-cases of Data Applications and will provide an overview of existing possibilities of Golang as a language for data engineering. In the talk, we will cover basic ideas of building high-performance data application, creating your own data pipelines based on open source solutions and also hosted proprietary like Amazon Kinesis or Google Pub/Sub. The idea is to provide an overview how good is Golang for data engineering and what are Pros and Cons.
KScope14 Understanding the Zombies that lurk within your systemAlithya
Understanding the Zombies that lurk within your system: The Rules. This presentation assumes an HFM administrator level understanding of the system in general. But no familiarity with rules or how they run.
Online Machine Learning: introduction and examplesFelipe
In this talk I introduce the topic of Online Machine Learning, which deals with techniques for doing machine learning in an online setting, i.e. where you train your model a few examples at a time, rather than using the full dataset (off-line learning).
Understanding the relationships between time, money, productivity and value -- A keynote presentation for iSummit by Michael Parler, Chief Strategy Officer at Purple, Rock, Scissors.
Faster! Faster! Accelerate your business with blazing prototypesOSCON Byrum
Bring your ideas to life! Convince your boss to that open source development is faster and cheaper than the "safe" COTS solution they probably hate anyway. Let's investigate ways to get real-life, functional prototypes up with blazing speed. We'll look at and compare tools for truly rapid development including Python, Django, Flask, PHP, Amazon EC2 and Heroku.
DDD/CQRS - I must learn to repeat myselfDouglas Reith
Bringing back to basics the benefits of CQRS/DDD in terms of the basic truths of software development. Learning to repeat myself to get to a better architecture.
Domain modeling for Digital Transformations (FlowCon Paris 2019 edition)Cyrille Martraire
The collaboration between business people and the development teams is often distorted by implementation concerns, past habits and past constraints. This is harmful, especially if you have major ambitions. To achieve better software, developers could try to reverse-engineer from the given specifications, or you could embark into a joint exploration of the domain towards its first principles, which are the main concepts or assumptions that cannot be deduced from anything else.
Join Cyrille on this topic to find out how it can help your most challenging digital initiatives!
Déjà 10 ans de Software Craft ! Comment vos pratiques ont-elles évolué durant cette décennie ? Au-delà de la dette technique dont Arnaud Lemaire avait parlé l’an passé, au-delà du Clean Code, de TDD et de BDD, 10 ans après le Craft doit se préoccuper désormais des environnements d’aujourd’hui, avec plus de distribué, des microservices, du Cloud et même (et ce n’est même pas un troll) des transformations digitales ! Mais alors, est-ce vraiment encore du Craft ? Venez juger par vous-mêmes avec Cyrille sous le soleil de Sunny Tech !
Even in an agile world, specifications often go too far and describe solutions with too much details; all these premature decisions constraint the implementation and remove opportunities. There is a remedy: refactoring the specs, even before refactoring the code.
In the TDD cycle, refactoring is the art of restructuring the code to make it simpler, without changing its behavior at runtime. A key part of refactoring is to recognize and extract duplications.
Refactoring is very useful at the code level, and it is even more powerful when applied during business analysis or functional architecture. We will show how the practice of refactoring directly "at the business domain level" can simplify the problem, and therefore the resulting implementation code, by orders of magnitude. This means much less code to write, to test and to maintain, and much less defects as a result.
We will introduce 5 patterns on how to refactor at the business-domain level, such as "Make It Systematic" and "Degenerate Case". We will also explain some limits and the required mindset.
This approach of refactoring has been used on several real-world projects and is derived in particular from DDD and from Specification by Example.
5 Steps to Getting Organizational Buy-In for Your Enterprise Software ProjectJeff Carr
When looking for a new enterprise software system, your organization must begin your journey by making a business case for enterprise software. This involves numerous steps, including determining an expected return on investment, anticipating total costs, and fully documenting the business case for investing in a new or upgraded system.
Find out how manufacturing and distribution companies can drive an effective justification process with this presentation deck.
Explore five critical areas needed to justify one of the most complex and resource-intensive initiatives your company will face:
- Assess your internal environment
- Fully document your current state
- Clearly map your future state
- Get a handle on total costs of upgrade or new enterprise system
- Accurately calculate ROI
Wiring the IoT for modern manufacturingFlorent Solt
The IoT has the potential to create a renaissance of manufacturing in the US and elsewhere. The expected exponential increase in the amount of data that will be processed, transported, stored, and accessed means there will be a huge demand for smart technologies to deliver it.
Building Data applications with Go: from Bloom filters to Data pipelines / FO...Sergii Khomenko
Many people use Go for different projects: WebDev, DevOps or other general-purpose tasks. On another hand, with all the beauty and performance of the language it could be a good challenger for Data applications. In the talk, we will go through the common problems of Data Engineering. Starting with high-performance caching and probabilistic data structures like Bloom filters, CountMin or Hyperloglog. We will cover all stages of Data Pipelining like writing data producers for open source Apache Kafka or proprietary Amazon Kinesis or Google Pub/Sub with further data consuming and processing.
The talk covers real-life use-cases of Data Applications and will provide an overview of existing possibilities of Golang as a language for data engineering. In the talk, we will cover basic ideas of building high-performance data application, creating your own data pipelines based on open source solutions and also hosted proprietary like Amazon Kinesis or Google Pub/Sub. The idea is to provide an overview how good is Golang for data engineering and what are Pros and Cons.
KScope14 Understanding the Zombies that lurk within your systemAlithya
Understanding the Zombies that lurk within your system: The Rules. This presentation assumes an HFM administrator level understanding of the system in general. But no familiarity with rules or how they run.
Online Machine Learning: introduction and examplesFelipe
In this talk I introduce the topic of Online Machine Learning, which deals with techniques for doing machine learning in an online setting, i.e. where you train your model a few examples at a time, rather than using the full dataset (off-line learning).
Understanding the relationships between time, money, productivity and value -- A keynote presentation for iSummit by Michael Parler, Chief Strategy Officer at Purple, Rock, Scissors.
Faster! Faster! Accelerate your business with blazing prototypesOSCON Byrum
Bring your ideas to life! Convince your boss to that open source development is faster and cheaper than the "safe" COTS solution they probably hate anyway. Let's investigate ways to get real-life, functional prototypes up with blazing speed. We'll look at and compare tools for truly rapid development including Python, Django, Flask, PHP, Amazon EC2 and Heroku.
DDD/CQRS - I must learn to repeat myselfDouglas Reith
Bringing back to basics the benefits of CQRS/DDD in terms of the basic truths of software development. Learning to repeat myself to get to a better architecture.
Domain modeling for Digital Transformations (FlowCon Paris 2019 edition)Cyrille Martraire
The collaboration between business people and the development teams is often distorted by implementation concerns, past habits and past constraints. This is harmful, especially if you have major ambitions. To achieve better software, developers could try to reverse-engineer from the given specifications, or you could embark into a joint exploration of the domain towards its first principles, which are the main concepts or assumptions that cannot be deduced from anything else.
Join Cyrille on this topic to find out how it can help your most challenging digital initiatives!
Déjà 10 ans de Software Craft ! Comment vos pratiques ont-elles évolué durant cette décennie ? Au-delà de la dette technique dont Arnaud Lemaire avait parlé l’an passé, au-delà du Clean Code, de TDD et de BDD, 10 ans après le Craft doit se préoccuper désormais des environnements d’aujourd’hui, avec plus de distribué, des microservices, du Cloud et même (et ce n’est même pas un troll) des transformations digitales ! Mais alors, est-ce vraiment encore du Craft ? Venez juger par vous-mêmes avec Cyrille sous le soleil de Sunny Tech !
As developers we are often explained the business domain in a way that is corrupted by implementation concerns or past constraints. This is harmful. To achieve better domain models, we often have to reverse-engineer. Alternatively, we can also explore the domain from its first principles, which are the main concepts or assumptions that cannot be deduced from anything else.
Reaching for first principles takes more mental energy, but is also the key to more radical innovations beyond small incremental evolutions. It also turns domain modeling into a fun puzzle to solve.
Through examples you will discover how domains can be deconstructed towards their essential first principles, in order to reconstruct sharp domain models.
DDD is often misinterpreted in so many ways. Many teams focus only on the tactical patterns, or even consider repositories as mere glorified DAO's and forget about all the other concepts that really matter: the focus on the business domain, modeling in code, and the concept of Bounded Contexts. In this talk for junior and senior developers alike, we'll clarify the few most important building blocks of DDD. We will also illustrate how practicing DDD actually looks like. This talk is the perfect opportunity to get started on DDD on solid grounds!
DDD is often misinterpreted in so many ways. Many teams focus only on the tactical patterns, or even consider repositories as mere glorified DAO's and forget about all the other concepts that really matter: the focus on the business domain, modeling in code, and the concept of Bounded Contexts.
In this talk for junior and senior developers alike, we'll clarify the few most important building blocks of DDD. We will also illustrate how practicing DDD actually looks like. This talk is the perfect opportunity to get started on DDD on solid grounds!
Les effets inattendus du passage en Features Teams à grande échelle -ScrumDay...Cyrille Martraire
En partant d’un legacy de 150 applications qui peinait à livrer chaque trimestre, 3 ans de transformation ont permis à notre département de 150 personnes de réduire ses coûts de 30% tout en livrant de la valeur en continu. Découvrez dans ce retour d'expérience les actions entreprises et tous leurs effets inattendus.
Video disponible sur Infoq.fr : https://www.infoq.com/fr/presentations/effets-inattendus-passage-features-teams-grande-echelle
Interviewing Domain Experts - Heuristics From the Trenches (DDD Europe 2016 M...Cyrille Martraire
Deep conversations with domain experts and careful attention to the language are central in software development and in particular in Domain-Driven Design (DDD). However it takes many years and many failures to get better at this game.
Still, over time it is possible to extract a growing set of techniques and heuristics that can boost the effectiveness of the interviews with domain experts, to learn faster and converge quickly to better models.
There are techniques and heuristics for asking better questions, listening carefully to words and other signals, and for managing credibility as a developer facing business experts.
If you think all the above is important, then these interviewing techniques will improve your skills, step up the quality of your collaboration with your domain experts, and will provide benefits for better domain models. And if you find all that boring, then perhaps you could focus your career on Java EE instead.
You probably can't imagine that Monoids (not monads) are so simple maths creatures that you can understand them in just a few minutes.
You probably can't imagine that Monoids (not monads) are so simple maths creatures that you can understand them in just a few minutes.
But you probably don't imagine either that they can help you craft elegant and powerful domain models that scale very well.
Through various examples, we will have a closer look at monoids used for domain modeling in a style that mixes the best of DDD and FP. Even in languages like Java or C#, this talk will influence your coding style forever!
'More entertaining and educational explanation of Monoids I've heard' - Martin Thompson, DDD exchange London 2014.
See more at http://skillsmatter.com/conferences/1880-ddd-exchange-nyc-2014#program
Domain-Driven Design (DDD) and Functional Programming (FP) have a lot of good things in common: DDD has borrowed many ideas from the FP community, and both share a common inspiration on established formalisms like maths.
Even in non functional languages like Java or C#, this combined set of practices from DDD, OO and FP helps craft simple and powerful code that reads well, that is very easy to test, that composes well and that can somehow describe itself.
We will have a closer look at some of these ideas, in the context of domain models inspired from real-world projects. From value objects and DSL to abstract algebra creatures like monoids and friends, we will show how all that translates into beautiful code that may influence your coding style!
I T.A.K.E. talk: "When DDD meets FP, good things happen"Cyrille Martraire
Domain-Driven Design (DDD) and Functional Programming (FP) have a lot of good things in common: DDD has borrowed many ideas from the FP community, and both share a common inspiration on established formalisms like maths.
For the software developer, the result is a style of code that mixes the best of DDD, OO and FP. Even in non functional languages like Java or C#, this combined set of practices helps craft simple and powerful code that reads well and that is very easy to test.
In this talk we will have a closer look at some of these ideas, in the context of domain models inspired from real-world projects. From basic FP hygiene like immutability and closure of operations to more mathematical inspirations from abstract algebra like monoids, we will show how all that translates into beautiful code.
WARNING: This may influence your coding style…
This talk was presented on the first day of I T.A.K.E. 2013 at Bucharest http://itakeunconf.com/
Tour d'horizon de Domain-Driven Design Avril 2012 autour d'un retour d'expéri...Cyrille Martraire
Vous avez entendu parler de Domain-Driven Design (DDD) et vous voulez en savoir plus ?
Nous vous offrons un tour d'horizon de concepts importants de DDD et leur application en pratique, avec des retours d'un projet récent.
Vidéo de la présentation disponible : http://www.dailymotion.com/video/xq62pf_aroll-fterwork-du-11-avril-domain-driven-design_tech
how to sell pi coins in South Korea profitably.DOT TECH
Yes. You can sell your pi network coins in South Korea or any other country, by finding a verified pi merchant
What is a verified pi merchant?
Since pi network is not launched yet on any exchange, the only way you can sell pi coins is by selling to a verified pi merchant, and this is because pi network is not launched yet on any exchange and no pre-sale or ico offerings Is done on pi.
Since there is no pre-sale, the only way exchanges can get pi is by buying from miners. So a pi merchant facilitates these transactions by acting as a bridge for both transactions.
How can i find a pi vendor/merchant?
Well for those who haven't traded with a pi merchant or who don't already have one. I will leave the telegram id of my personal pi merchant who i trade pi with.
Tele gram: @Pi_vendor_247
#pi #sell #nigeria #pinetwork #picoins #sellpi #Nigerian #tradepi #pinetworkcoins #sellmypi
how to sell pi coins effectively (from 50 - 100k pi)DOT TECH
Anywhere in the world, including Africa, America, and Europe, you can sell Pi Network Coins online and receive cash through online payment options.
Pi has not yet been launched on any exchange because we are currently using the confined Mainnet. The planned launch date for Pi is June 28, 2026.
Reselling to investors who want to hold until the mainnet launch in 2026 is currently the sole way to sell.
Consequently, right now. All you need to do is select the right pi network provider.
Who is a pi merchant?
An individual who buys coins from miners on the pi network and resells them to investors hoping to hang onto them until the mainnet is launched is known as a pi merchant.
debuts.
I'll provide you the Telegram username
@Pi_vendor_247
what is the future of Pi Network currency.DOT TECH
The future of the Pi cryptocurrency is uncertain, and its success will depend on several factors. Pi is a relatively new cryptocurrency that aims to be user-friendly and accessible to a wide audience. Here are a few key considerations for its future:
Message: @Pi_vendor_247 on telegram if u want to sell PI COINS.
1. Mainnet Launch: As of my last knowledge update in January 2022, Pi was still in the testnet phase. Its success will depend on a successful transition to a mainnet, where actual transactions can take place.
2. User Adoption: Pi's success will be closely tied to user adoption. The more users who join the network and actively participate, the stronger the ecosystem can become.
3. Utility and Use Cases: For a cryptocurrency to thrive, it must offer utility and practical use cases. The Pi team has talked about various applications, including peer-to-peer transactions, smart contracts, and more. The development and implementation of these features will be essential.
4. Regulatory Environment: The regulatory environment for cryptocurrencies is evolving globally. How Pi navigates and complies with regulations in various jurisdictions will significantly impact its future.
5. Technology Development: The Pi network must continue to develop and improve its technology, security, and scalability to compete with established cryptocurrencies.
6. Community Engagement: The Pi community plays a critical role in its future. Engaged users can help build trust and grow the network.
7. Monetization and Sustainability: The Pi team's monetization strategy, such as fees, partnerships, or other revenue sources, will affect its long-term sustainability.
It's essential to approach Pi or any new cryptocurrency with caution and conduct due diligence. Cryptocurrency investments involve risks, and potential rewards can be uncertain. The success and future of Pi will depend on the collective efforts of its team, community, and the broader cryptocurrency market dynamics. It's advisable to stay updated on Pi's development and follow any updates from the official Pi Network website or announcements from the team.
If you are looking for a pi coin investor. Then look no further because I have the right one he is a pi vendor (he buy and resell to whales in China). I met him on a crypto conference and ever since I and my friends have sold more than 10k pi coins to him And he bought all and still want more. I will drop his telegram handle below just send him a message.
@Pi_vendor_247
how can I sell pi coins after successfully completing KYCDOT TECH
Pi coins is not launched yet in any exchange 💱 this means it's not swappable, the current pi displaying on coin market cap is the iou version of pi. And you can learn all about that on my previous post.
RIGHT NOW THE ONLY WAY you can sell pi coins is through verified pi merchants. A pi merchant is someone who buys pi coins and resell them to exchanges and crypto whales. Looking forward to hold massive quantities of pi coins before the mainnet launch.
This is because pi network is not doing any pre-sale or ico offerings, the only way to get my coins is from buying from miners. So a merchant facilitates the transactions between the miners and these exchanges holding pi.
I and my friends has sold more than 6000 pi coins successfully with this method. I will be happy to share the contact of my personal pi merchant. The one i trade with, if you have your own merchant you can trade with them. For those who are new.
Message: @Pi_vendor_247 on telegram.
I wouldn't advise you selling all percentage of the pi coins. Leave at least a before so its a win win during open mainnet. Have a nice day pioneers ♥️
#kyc #mainnet #picoins #pi #sellpi #piwallet
#pinetwork
how to swap pi coins to foreign currency withdrawable.DOT TECH
As of my last update, Pi is still in the testing phase and is not tradable on any exchanges.
However, Pi Network has announced plans to launch its Testnet and Mainnet in the future, which may include listing Pi on exchanges.
The current method for selling pi coins involves exchanging them with a pi vendor who purchases pi coins for investment reasons.
If you want to sell your pi coins, reach out to a pi vendor and sell them to anyone looking to sell pi coins from any country around the globe.
Below is the contact information for my personal pi vendor.
Telegram: @Pi_vendor_247
What price will pi network be listed on exchangesDOT TECH
The rate at which pi will be listed is practically unknown. But due to speculations surrounding it the predicted rate is tends to be from 30$ — 50$.
So if you are interested in selling your pi network coins at a high rate tho. Or you can't wait till the mainnet launch in 2026. You can easily trade your pi coins with a merchant.
A merchant is someone who buys pi coins from miners and resell them to Investors looking forward to hold massive quantities till mainnet launch.
I will leave the telegram contact of my personal pi vendor to trade with.
@Pi_vendor_247
what is the best method to sell pi coins in 2024DOT TECH
The best way to sell your pi coins safely is trading with an exchange..but since pi is not launched in any exchange, and second option is through a VERIFIED pi merchant.
Who is a pi merchant?
A pi merchant is someone who buys pi coins from miners and pioneers and resell them to Investors looking forward to hold massive amounts before mainnet launch in 2026.
I will leave the telegram contact of my personal pi merchant to trade pi coins with.
@Pi_vendor_247
USDA Loans in California: A Comprehensive Overview.pptxmarketing367770
USDA Loans in California: A Comprehensive Overview
If you're dreaming of owning a home in California's rural or suburban areas, a USDA loan might be the perfect solution. The U.S. Department of Agriculture (USDA) offers these loans to help low-to-moderate-income individuals and families achieve homeownership.
Key Features of USDA Loans:
Zero Down Payment: USDA loans require no down payment, making homeownership more accessible.
Competitive Interest Rates: These loans often come with lower interest rates compared to conventional loans.
Flexible Credit Requirements: USDA loans have more lenient credit score requirements, helping those with less-than-perfect credit.
Guaranteed Loan Program: The USDA guarantees a portion of the loan, reducing risk for lenders and expanding borrowing options.
Eligibility Criteria:
Location: The property must be located in a USDA-designated rural or suburban area. Many areas in California qualify.
Income Limits: Applicants must meet income guidelines, which vary by region and household size.
Primary Residence: The home must be used as the borrower's primary residence.
Application Process:
Find a USDA-Approved Lender: Not all lenders offer USDA loans, so it's essential to choose one approved by the USDA.
Pre-Qualification: Determine your eligibility and the amount you can borrow.
Property Search: Look for properties in eligible rural or suburban areas.
Loan Application: Submit your application, including financial and personal information.
Processing and Approval: The lender and USDA will review your application. If approved, you can proceed to closing.
USDA loans are an excellent option for those looking to buy a home in California's rural and suburban areas. With no down payment and flexible requirements, these loans make homeownership more attainable for many families. Explore your eligibility today and take the first step toward owning your dream home.
BYD SWOT Analysis and In-Depth Insights 2024.pptxmikemetalprod
Indepth analysis of the BYD 2024
BYD (Build Your Dreams) is a Chinese automaker and battery manufacturer that has snowballed over the past two decades to become a significant player in electric vehicles and global clean energy technology.
This SWOT analysis examines BYD's strengths, weaknesses, opportunities, and threats as it competes in the fast-changing automotive and energy storage industries.
Founded in 1995 and headquartered in Shenzhen, BYD started as a battery company before expanding into automobiles in the early 2000s.
Initially manufacturing gasoline-powered vehicles, BYD focused on plug-in hybrid and fully electric vehicles, leveraging its expertise in battery technology.
Today, BYD is the world’s largest electric vehicle manufacturer, delivering over 1.2 million electric cars globally. The company also produces electric buses, trucks, forklifts, and rail transit.
On the energy side, BYD is a major supplier of rechargeable batteries for cell phones, laptops, electric vehicles, and energy storage systems.
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