fabiochiu/medium-articles huggingface dataset:
Saga pattern: distributed transactions in direktiv workflows
Tags: Event Driven Architecture, Saga Pattern, Microservices, Serverless, Workflow

The Saga pattern is a popular design pattern in the microservice world. It addresses the problem of transactions in distributed systems. This blog post is not going to explain the Saga pattern in detail because there are already excellent explanations and examples out there. Instead it will show how to implement it in direktiv, a knative-based orchestration and aggregation engine.

The full example is available from GitHub here! It runs perfectly on the open source edition of direktiv — available here!

The problem

Transactions are a well known concept used in databases for decades. They are a unit of work containing one or more commands and only completed as a unit (think of it as all or nothing). This ensures data integrity and validity in a database (atomicity, consistency, isolation and durability).

In the microservice age backend services are adopting the database-per-microservice pattern to achieve independence from other services. This approach requires a strategy to handle business transactions across multiple microservices to provide a rollback/commit mechanism for overarching services to provide data integrity (again … comparable to a database two-phase commit).

There are two Saga concepts to achieve that goal:

Choreography : collaboration via events

: collaboration via events Orchestration: collaboration via centralized orchestrator

Difference between a service and a direktiv flow

The question is: how can we implement this pattern in direktiv?

It is important to understand the difference between a service and a direktiv flow. Direktiv is an orchestration and aggregation engine which manages the containers involved in a flow as well as the flow itself.

A flow can include multiple functions, which is the equivalent for services and provides conditional statements, error handling and retries around those.

A flow can basically act as orchestrator for one or multiple services.

The following example shows a simple backend service call in direktiv. It includes one function, a retry definition and error handling. In a choreography saga this will be the unit size of a direktiv flow; one function plus exception handling.

In this way the individual steps in the Saga can exchange events and can react on incoming events.

A simple direktiv flow

The configuration of the flow is shown below:

Building a simple process

Let’s try and build the following process in direktiv using our Saga pattern definition:

A simple process from order to shipment

Structure for choreography

In a choreography there a two different types of direktiv flows involved:

The first handles the initial request initial request and starts the actual flow (or Saga) — we call it the initiator The second is the actual flows (Sagas) or participants

Initiator (order)

The main purpose for the initiator is to provide an API to start, validate and respond to the request. It has a different design to the subsequent participants in the workflow. The initiator should include up to four states:
Identifying potential scam listings on Airbnb
By: Julia Mcaleenan
Tags: Data Science, Airbnb, Network Analysis

Identifying potential scam listings on Airbnb

A network of hosts and reviewers on Airbnb (Image by author)

I ntroduction

I recently worked on a project using data on Airbnb listings in London. The initial aim of my project was to use machine learning to predict rental prices based on features of the property, its location and reviews associated with the listing (more on this in a later post). Whilst researching the use of Airbnb in London, I came across a WIRED article published in February 2020, which inspired me to look at the data in another way.

WIRED article which inspired the project (Source: WIRED)

First, some background. In 2015, a law was introduced which allows Londoners to let their home on a short-term basis without the need for planning permission, for up to 90 nights a year. This policy was aimed at benefitting residents, allowing them to earn extra income from their home, and not at providing opportunities for the commercial sector. However, there are growing concerns that short-term letting platforms are becoming increasingly commercialised and are removing housing stock from the long-term rental market, exacerbating London’s housing shortage.

A Greater London Authority report from February 2020 showed the average revenue per night from an Airbnb listing to be £109 versus £58 for a long-term tenancy. There is an obvious incentive for hosts to exceed the 90-night limit, as they can get a far better return than they would on the long-term rental market. The same report estimated that as many as 23% of listings in London may be in breach of the 90-night limit (as of May 2019). Airbnb, which accounts for 65% of the short-term letting market in London, introduced a cap on its website in 2017, which automatically makes ‘entire home’ listings unavailable when the 90-night limit is reached (unless there are relevant planning permissions in place to rent it for a longer period). However hosts can easily bypass the cap by re-listing properties with different addresses or photos or by creating multiple host accounts, to avoid algorithms designed to detect duplicates. In the industry, this is referred to as ‘systemising’ listings.

The WIRED article mentioned above describes in great detail an Airbnb scam which the journalist uncovered in London. This particular scam centres around a de facto hotel built for short-term rentals which breaches both Airbnb policies and the 90-night law. There are duplicate listings for apartments, most listings use the same photos or mirror image photos and some of the listings don’t exist. Guests often complain of being put into a different apartment to the one they booked and sometimes apartments are double-booked. Many of the reviews and host profiles are fake or misleading.

The article identifies a network of connected host accounts behind 200 ‘systemised’ listings. Listings hosted by these accounts have many fake reviews from a small group of reviewers. All of these accounts are essentially one person, or at least one company.
Mavericks, Meet Jetpack Compose
By: Gabriel Peal
Tags: Jetpack Compose, Jetpack, Android, Mavericks, Airbnb

To use Mavericks with Compose, add the new artifact to your project that already supports Compose.

com.airbnb.android:mavericks-compose:2.1.0-alpha01

Then, create a MavericksViewModel or pick an existing one you want to use. You don’t have to do anything different to your ViewModel itself to use it in Compose. If you have never used Mavericks before, you can start with our documentation here.

This is a simple CounterViewModel. Its state has a single count property and the ViewModel has one function, incrementCount() .

Access a ViewModel

Now, let’s say you wanted to create or get an instance of this ViewModel from a composable function. To do that, simply call mavericksViewModel() .

By default, this will scope to the nearest LocalLifecycleOwner which will probably be the nearest NavBackStackEntry , Fragment , or Activity . That means that all composables under that LocalLifecycleOwner will get the same ViewModel instance.

If you want to specify a custom scope, you can pass in an optional scope parameter or use the helper mavericksActivityViewModel() .

Access ViewModel State

To subscribe to state changes in your ViewModel, mavericks-compose provides ViewModel.collectAsState() .

To optimally use collectAsState() it is useful to read up on how Compose handles state. Compose is very efficient with its recomposition tracking. Compose recognizes which state properties are accessed by different composables so it can minimize the work that needs to be done when your state changes.

As a result, it is more optimal to subscribe to one or two state properties in a small composable function than it is to subscribe to the entire state class. If you subscribe to the entire state class, your composable will have to recompose any time any state property changes whether or not you actually use it in your composable.
Visualizing Data Timeliness at Airbnb
By: Chris C Williams
Tags: Design, Data, Visualization, Analytics, Airbnb

Imagine you are a business leader ready to start your day, but you wake up to find that your daily business report is empty — the data is late, so now you are blind.

Over the last year, multiple teams came together to build SLA Tracker, a visual analytics tool to facilitate a culture of data timeliness at Airbnb. This data product enabled us to address and systematize the following challenges of data timeliness:

When should a dataset be considered late? How frequently are datasets late? Why is a dataset late?

This project is a critical part of our efforts to achieve high data quality and required overcoming many technical, product, and organizational challenges in order to build. In this article, we focus on the product design: the journey of how we designed and built data visualizations that could make sense of the deeply complex data of data timeliness.

Yes, Data Can Be Late

To avoid blinding the business, it is critical to deliver data in a timely manner. However, this can be difficult to do because the journey from data collection to final data output typically requires many steps. At Airbnb — and anywhere with large-scale data processing pipelines — “raw” datasets are cleaned up, merged, and transformed into structured data. Structured data then powers product features and enables analytics to inform business decisions.

To ensure timeliness of the final output data, we aim to have owners of each intermediate step commit to Service Level Agreements (SLAs) for the availability of their data by a certain time. For example, the dataset owner promises that the “bookings” metric will have the latest data by 5 AM UTC, and if it is not available by this time, it is considered “late.”

How Often Are My Datasets Late?

As a first step, we set out to enable data producers to understand when data is landing and how frequently they meet SLAs in the Report view (Figure 1). In this view, producers can track real-time and historical trends across multiple datasets they own or care about. We also ensured that producers get value even when there is no formal SLA set by surfacing typical landing times. No SLAs were set when we first launched the tool, and SLAs may be unneeded for datasets that are not widely consumed.
Integrating Prettier + ESLint + Airbnb Style Guide + EditorConfig no VSCode
By: Matheus B Oliveira
Tags: JavaScript, Prettier, Editorconfig, Eslint, Airbnb

In this guide, we will be explaining how to set up libraries and extensions, in which will be useful to systematize and organize the codes in your projects.

We will be using the Visual Studio as IDE, and Yarn to install dependencies.

Tools

ESLint

ESLint is a program that identifies possible errors. The extensions in ESLint are configurable. It allows you to customize between a variety of internal options, matching with your company’s style guide. It reports while you are typing in your editor, and opens up a window with a detailed list of the problematic patterns.

Prettier

Most of the time we don’t write the best codes, but with Prettier you no longer will have to worry about it. After a long development session, all you need to do is to save the file and, **puf**, code is formatted.

EditorConfig

EditorConfig helps maintain consistent coding styles for multiple developers working on the same project across various editors and IDEs. The EditorConfig project consists of a file format for defining coding styles and a collection of text editor plugins that enable editors to read the file format and adhere to defined styles. EditorConfig files are easily readable, and they work nicely with version control systems.

Configuration in VSCode

In VSCode, download the following extensions: ESLint, Prettier e EditorConfig. 2. Install the libraries **ESLint** and **Prettier** in your project. To do that, in your root directory, run:

yarn add eslint prettier -D

3. Install the configuration of Airbnb.

If you are using the **npm 5+**, you can run this shortcut to install the configuration and all its dependencies:

npx install-peerdeps — dev eslint-config-airbnb

4. Install eslint-config-prettier (deactivate the format to ESLint) and eslint-plugin-prettier (Allows ESLint to report on format errors while typing)

yarn add eslint-config-prettier eslint-plugin-prettier -D

5. Open a new file **.eslintrc.json** on your project’s root directory:

6. The next step is to make sure the Prettier formatting happens when you save a file. Insert **“editor.formatOnSave”: true** on User Settings on VScode.

To open the User Settings, use the shortcut Ctrl + Shift + P then search for: “_Preferences: Open Settings (JSON)_”

7. Open a new file **.editorconfig** In your project’s root directory:

**Congratulations, you made it!**

Following the steps above, your VScode is ready to early identify errors, and with the formatters, will help on maintaining consistency on all coding fonts. With all this extensions working together, it will be possible to create a clean and sustainable code. Your boss and coworkers will thank you.

References

Integrating Prettier + ESLint + Airbnb Style Guide in VSCode. (2018). Found on: <https://blog.echobind.com/integrating-prettier-eslint-airbnb-style-guide-in-vscode-47f07b5d7d6a>.
AirBnB Homes in Seattle: A data driven look
By: Lakshya Malhotra
Tags: Data Science, Airbnb, Machine Learning, Seattle, Kaggle

AirBnB Homes in Seattle: A data driven look

Introduction

Since past few years, AirBnB has been a serious threat to the existing hotel companies. In 2018, the market share of AirBnB in United States was around 18%. The versatility of AirBnB, from renting a room in a big city downtown to renting a tree house in woods makes it such a big competitor.

In this post, we will take a look at the AirBnB listings in Seattle. There were two main datasets that were used in this analysis: listing data, for the information about 3818 listings in Seattle and calendar data giving the daily availability of all the listings for a year. The dataset can be downloaded from kaggle.

Photo by Tj Holowaychuk on Unsplash

After the initial assessment of the data, I came across three questions which sparkled my interest:

What neighborhoods in Seattle are most popular? What is the rent distribution of the listings in these locations? What is the busiest time of the year to visit Seattle? How do the prices change during that time?

All the code for the analysis is publicly available on GitHub.
Are Short-Term Leases Becoming More Popular?
By: Ephraim Vashovsky
Tags: Landlord, Airbnb, Lease, Tenant

The evolution of the internet brought about new opportunities for virtually every industry, including travel and hospitality. The big hotel chains no longer hold a position of dominance, and private real estate owners can now cash in by providing less expensive, quality accommodations for travelers on a budget. This trend is expected to grow, suggesting short-term rentals are here to stay.

An Unexpected Growth Spurt for Short-Term Rentals

AirBnB’s success started the short-term rental craze, showing there are profits to be made in offering these types of accommodations. While the company still continues to grow and is the most popular service of its kind, it’s no longer alone. The digital revolution has helped this industry grow, providing a way for property owners and travelers to connect. Today, finding a short-term rental to suit your travel needs is as simple as conducting an online search.

It’s difficult to measure the impact that short-term rentals have on the larger hotel chains in terms of claiming a portion of the market. This is because it’s not uncommon for road-weary travelers to stop into a hotel and book a room for that night. Conversely, space in a short-term rental is limited, and reservations must be made to ensure an opening. As a result, short-term rentals appeal to different types of travelers.

Airbnb Offers International Accommodations

One of the advantages that has propelled Airbnb is that the platform makes it possible to find accommodations in cities almost anywhere in the world. This may be why their rate of growth has been so expansive. The company now offers Airbnb Plus, which is a premium service that helps travelers plan itineraries, make dining reservations, and offers loyalty rewards.

The competition is recognizing the consumer demand for AirBnB’s services as well. Major hotel chains are investing in short-term rentals, which may compete with a share of AirBnB’s market. Additionally, travel reservation websites, such as Expedia and Travelocity, are looking into including AirBnB listings in their own search results.

A short-term rental offers something for the real estate owner and for the traveler. For the property owner, offering short-term accommodations can help them maximize the earnings they receive on their investment property. For the traveler, this means renting quality accommodations at a lower price. This helps more people travel without overextending their budget. These benefits suggest short-term rental opportunities will only continue to expand.
Explore new adventures with Ghumo.pk
Tags: Pakistan, Hotel, Tourism, Travel, Airbnb

In the short time period, in which, Ghumo.pk has been functioning, it has opened up an entirely new category of opportunities, for two kinds of people; those who are want to earn a little extra cash and those who want to save a little more than usual while vacationing yet still want an experience to remember.

Reaching out to people is never an easy task to begin with, but Ghumo.pk has managed to do just that so that it can be up and running to provide services as soon as possible. Not only is it beneficial for individuals at hand, but also for the economy through indirect methods such as an increase in tourism.

How is this done? In just a few simple steps, an individual can sign up with Ghumo.pk and start booking vacation rentals. They can select from a vast range of rooms to stay in during their holiday and that too at lower prices than anticipated. In other words, more space is provided for a lesser amount.

On the other hand, having people take more trips will benefit the mezbans (hosts) as well by increasing their income when the holidaymakers decide to reside at their properties. Furthermore, ultimately, tourism within the country will undoubtedly improve as well.

It is quite evident that booking with Ghumo.pk will lead you to take new adventures within the country. This is because the mezbans are located everywhere, hence you will always have a place to stay in. It is also imperative to understand, that these rentals are not like hotels, thus will be located in the midst of the city in which you are visiting. It will like an adventure you have never taken before. Interactions with the locals, the sharing of information between the mezban and the holidaymaker, visiting different areas within the city and so on will all result in something you will surely be talking about in the foreseeable future.

So give Ghumo.pk a chance and book your holiday with us. It is time to take risks, make unforgettable memories and take adventures like never before!
Why should you should book with Ghumo.pk
Tags: Pakistan, Vacation Rental, Hotel, Travel, Airbnb

It is quite evident that booking with Ghumo.pk will be very beneficial for you. There a few reasons for this, the first and foremost being, that there are all sorts of options for every preference. A single bedroom can be booked or a two-bedroom area or even an entire idle property. It all depends on what you want for the duration of your stay. Preference is given weight-age at this platform and your voices are heard; hence the choice ultimately lies in your hands. Hotels often do not provide idle properties, though, they may offer suites. Nevertheless, the area offered by the lavish hotels still fall short of what the mezbans tend to propose to their customers.

Another benefit for booking with us, is that the prices set, are appropriate for every customer. Even if you have not signed up on our website, some of our posts up on social media such as, on Facebook and Instagram tend provide information and deals regarding the living spaces, which, eventually you will book. It is just to provide a glimpse of what to expect, once you sign up with us and start booking.

As mentioned above, the benefit of having choices for living space is one of the biggest advantages, but it also goes hand in hand with the ample choices to stay with different mezbans even if a few of the properties are already booked. This means, that the customers will never have to face overcrowding as an issue.

Having these living spaces situated right in the middle of the local areas, gives way to the customers to interact as much as possible with the people living there and to absorb what the area truly feels like, rather than staying in a fenced building surrounded by man-made infrastructure.

There are always plus points of every living accommodation, it is all a matter of preference and feasibility. But to gain an insight and experience the ultimate adventure is to live with the locals and be one for a time being.

So book an apartment, bungalow, room or a guest house in Karachi, Lahore and Islamabad with us and experience a vacation like never before!
Airbnb and the Malala Fund Team Up to Send Travelers on 80-Day Trip Around the World
By: Afar Media
Tags: Airbnb, Malala

Airbnb and the Malala Fund Team Up to Send Travelers on 80-Day Trip Around the World AFAR Media Jun 17, 2019·3 min read

Courtesy of Airbnb

On June 13, Airbnb launched Airbnb Adventures, a new collection of more than 200 small-group excursions led by local hosts in destinations from Oman to Alaska. The platform, an extension of Airbnb Experiences, marks the first time Airbnb offers lodging, meals, and activities in one package for travelers. Flights aren’t included in the overall cost, but the trips — in most cases limited to 12 participants or fewer — are designed to be affordable. (Two- to 10-day tours range from $99 to $5,000.)

To mark the debut of Airbnb Adventures, the company announced another unique offering: a 12-week trip around the globe inspired by Around the World in Eighty Days, the famous French novel by Jules Verne. Up to eight guests (ages 21 and older) will be permitted to book the trip when it becomes available online on Thursday, June 20.

The trip, which departs from London on September 1 this year, will take a small group of travelers to six continents and 18 countries within the span of 80 days. Activities include visiting medieval towns in the mountains of Romania; exploring UNESCO World Heritage sites in Uzbekistan; hiking to traditional teahouses and monasteries in Bhutan; sleeping under the stars in the Australian outback; and navigating the ancient Kumano Kodo pilgrimage route in Japan. The circumnavigational adventure also includes rafting in Utah’s Canyonlands National Park, wildlife-spotting in the Galápagos, trekking in Chilean Patagonia, and bathing in Iceland’s geothermal waters.

Courtesy of Airbnb

All proceeds from the “Around the World in 80 Days” adventure will go to the Malala Fund.

When the 80-day adventure comes to an end on November 19, the small group will return to London before parting ways. Accommodation, transportation, and select meals are covered as part of the trip’s $4,987 per person price tag. The only expense not covered in the cost is the round-trip flight ticket to and from London.

As if all of the above didn’t already sound attractive enough, there’s more that makes this one-time-only offering sound, well, superb. This particular Airbnb Adventure is what the company calls a “social impact experience,” which means that all trip proceeds go toward a nonprofit organization that has partnered with Airbnb to raise awareness about its mission with travelers. In this case, 100 percent of the proceeds from the “Around the World in 80 Days” adventure will go to the Malala Fund, a nonprofit organization cofounded by Nobel laureate Malala Yousafzai and her father. So when you pay $4,987 to Airbnb for your spot on this crazy adventure, you’ll really be helping fund an organization that works to give young girls “free, safe, and quality education” in places like Syria and Afghanistan.

Around the World in 80 Days will be bookable as an Airbnb Adventure from Thursday, June 20, 2019.

>>Next: What It’s Like to Visit Area 51 With Airbnb
The Frugal Airbnb User’s Guide for visiting Seattle
By: Joe Finnell
Tags: Travel, Airbnb, Seattle

Pike Place Market — December 2018

There’s a particular prideful emotion you feel when you discover a jewel amongst the pebbles of Airbnb listings. A rush of mental images crosses your mind of the peaceful short weekend getaway

There’s only one problem. Will you be able to afford it?

Seattle is a destination where many hope to travel, yet the prices can intimidate even the most skilled of Airbnb shoppers.

Fortunately for us, Airbnb provided a dataset from their 2016–2017 listings in Seattle on Kaggle. Using the dataset provided by Airbnb, we will take a closer look at when and where to stay in the Emerald City.

An Overview of Seattle by Neighborhood

One of the aspects that makes Seattle so unique is its variety of neighborhoods. Each neighborhood has a unique personality and associated price tag.

Out of the 3,818 listings contained in the dataset, the median listing price in Seattle was $105.00 per night at the average rate of $137.11 per night.

Not bad! But these prices vary depending on which neighborhood you are viewing.

To get a better idea of where to stay if you’re trying to save money, let’s take a look at the distribution of listings across the neighborhoods.
Develop Airbnb Clone Space Rental Marketplace Business Website Business with Exciting Features
By: Support Migrateshop
Tags: Develop Airbnb Clone, Rental Business, Vacation Rental, Migrateshop, Airbnb

Develop Airbnb Clone Space Rental Marketplace Business Website Business with Exciting Features support migrateshop Jun 17·2 min read

Develop Airbnb Clone is unique rental marketplace business software that facilitated renters to rent out their own space for a short period. Also, it’s one of the best and Booking and Rental Script in the market. So, you can now simply start your online rental marketplace business using our Airbnb Rental Script. In our rental software has been developed by Laravel Framework. So it supports to development and customizes your rental business for both website and mobile applications effectively.

Best Benefits and Features Of Develop Airbnb Clone

Migrateshop’s Home Rental Websites like Airbnb are one of the best solutions for startup entrepreneurs. Let to know some benefits and features of developing Airbnb Clone Script. They are,

· While using our online rental marketplace script like Airbnb you can develop your rental business website.

· You can track your rental business website. Also, you can analyze your business profit as well.

· From our Admin Commission feature, you can create your rental business website and start earning through each transaction and booking.

· With our script, you can list your property and rent out this.

· Our Airbnb clone script supports the cancellation policy and provides a refund amount transfer to the guest once cancel their booking.

Those are the major benefits and features of our Develop Airbnb Clone Script.
9 Required Skills to Become a Freelance Data Scientist in 2021
By: The Tech Trend
Tags: Data Science Skills, Data Scientist, Become Data Scientist

Whether you’d like to enhance your present income, require a gig to fill in a gap on your resume, or wanting to become your own boss, getting a freelancer data scientist might be the career path for you. The requirement for data scientists across businesses has improved by 417% within the last year, which makes it much easier to discover decent freelance opportunities for 2021 and beyond.

If you’re a qualified data scientist, then you are able to benefit from those opportunities straight away. But if you do not, You Will Need to get or brush up on several technical and non-technical abilities which can be summarized as follows:

Math Skills

You should have an extensive understanding of some of the key concepts of Maths:

Statistics

Statistics supply the essential procedures to get valuable insights from data. The more data you know, the more you may examine and measure the uncertainty in a dataset. Be comfortable with terms like mean, median, mode, standard deviation, and distributions.

You also need to understand when to employ the multiple sampling methods and things to do to help keep out prejudice in the experiments. You also need to understand the way descriptive and inferential statistics are utilized to create and display forecasts.

Probability

A firm grasp on crucial concepts of chance such as Bayes theorem, Central Limit theorem, probability distribution functions, random variables, and expected values may go a very long way in identifying key trends in customers’ data.

Linear Algebra and Calculus

To create a machine learning version, you need to know a reasonable bit of calculus. Knowledge of linear algebra concepts such as matrices and vectors is vital when working together with calculations. It will let you earn instant improvements within an algorithm to impact the end result appreciably.

Read full post:- 9 Required Skills to Become a Freelance Data Scientist in 2021
I am a mid level software engineer.
Tags: Data Science, Data Scientist, Programmer, Software Development

I am a mid level software engineer. I have experience in multiple languages and till now worked on different kind of projects. I do not agree to this at whole. I recognise the problem of degrees being outdated and also feel the importance of online courses and self learning. But I disagree to the point where you said degrees teach you c++ which is outdated. You also mention uni teach you more theory where you target subjects like mathematics, statistics and other theoritical subjects.

I want to present my opinion over this. As a programmer/engineer/data scientist you share similar kind of job responsibilities especially when you work with startups (not everyone got job in google). There you need to be a good problem solver rather than a good coder in any particular framework. In most of startups you will need to jump over mutliple languages such as c#, java, node, python and more. Here comes the role and importance of learning c++. C++ is a kind of low level language as compare to python and others. But it gives you very strong foundation of programming concepts such as OOPs, data types, programming paradigms and much more. Mathematics teach you problem solving especially algorithms are really important. When you apply for a job at google all they want to see is your knowlegde about data structures, algorithms and mathematics.

Conclusion: Traditional universities may sound boring and I accept do not teach mordern stuff. But they prepare you with great foundation if uni is good. Which helps you jumping over different techs and be a great problem solver. They teach you good foundation to be an engineer and also enables you to make sense when making decisions as a data scientist(statistics).

Yes you will still not get the job so combine this foundation knowledge with these online courses to get better outcome. Where you can become expert of data science using these online courses. As a plus point they will consider your resume if you did a degree. In case you are old and want to be quick then go for bootcamps. So, I will say do not skip the tradition rather combine it with modern approach and don’t forget to build a cool portfolio using these online courses.

I will love to read opinion of others and hope this will help.
Let The Journey Begin!
Tags: Data Science, Univelcity, Data Scientist

Day One

My journey to being a data scientist started on the 19th of April 2021. We were received by the staff of the famous and arguably the best IT training centre in Nigeria. Shortly after we were addressed, we proceeded to our classes and reality dawned on me. The journey has truly begun!

Not long after we settled, our class tutor, Inyang Attah entered and gave us the blueprint of our stay as a student of Univelcity, which I will share with you briefly.

In the first 6weeks, we will be introduced to the Programming language of choice-PYTON. In the course of the first 6 weeks, we learn the fundamentals of python, variables, Data Structures, Object-Oriented Programming(OOP), functions, Built-ins and external packages.

We will then dive deeper into Data Storage and PreProcessing in the next two weeks that follow. pfiles(csv,excel), API’s, Databases(MySQL),Web scraping will be discussed in details.

Data Visualization will be thoroughly discussed. The major topic of discussion under data visualization will be data processing, data Visualization, data Plotting, Wranling, and Munging. And these will be carried out using Pandas, Numpy, Matplolib, Seaborn.

We will then discuss how Data are Analyzed. Algorithms Model, modeling prediction, classification, Sci-kit Learn will be our focus during our time learning how to analyse data.

Day Two

We started day two by installing Python, Git, Vscode, and creating individual account for Github. Then we dived straight into the usage of these softwares. We learnt the difference between git and Github, how to create a repository in Vscode, Github and pushed and pull either way. The term cloning, init, commit was explained to us. we then created our first code using vscode.

Really excited about this new journey. It's definitely going to be challenging but it's worth it.

We go at it again this week to learn new things, I will be back shortly to gist you.

CIAO.

Tunde Talabi
Data Analyst vs Data Engineer vs Data Scientist
By: Aishwarya Sharma
Tags: Data Scientist, Data Engineering, Data Analysis, Data Science, Data Analytics

Data Analyst

A data analyst gathers, organizes and interprets statistical data using data analysis tools to come up with meaningful results. The client then uses these interpretations to make important business decisions.

A data analyst doesn’t require the high-level data interpretation expertise of data scientists or the software engineering abilities of data engineers. It is an entry-level career — which means that one does not need to be an expert. Graduates who have bachelor degrees in mathematics, statistics, economics or any other field related to math can pursue it.

Also, data analysts are usually generalists, which means that they can fit in different teams or roles to help make data-driven decisions.

Data Engineer

Big data engineering was ranked high among emerging jobs on LinkedIn. A data engineer is a professional who prepares and manages big data that is then analyzed by data analysts and scientists. They are responsible for designing, building, integrating, and maintaining data from several sources.

Data engineers play no part in the analysis of the data that they receive and store. Their job is to make sure it is available to the users — who are the data analysts and data scientists. If a company wants to use data to better their business, a data engineer is the first to come in to build data pipelines. They also improve on these pipelines regularly to make sure the data stored for analysis is accurate and accessible. Data engineers need advanced software development skills, which are not as essential for data analysts and data scientists.

Data Scientist

Data scientist was named the most promising job of 2019 in the U.S. The work of a data scientist is to analyze and interpret raw data into business solutions using machine learning and algorithms.

A data scientist performs the same duties as a data analyst, but possess more advanced algorithms and statistics expertise. Additionally, they know how to build, train, and use machine learning and deep learning models to understand data — skills that data analysts don’t possess. These skills make data scientists immensely valuable in interpreting answers from open-ended questions and also identifying hidden insights.

Data scientists can be engineers who have strong business acumen and communication skills. However, they are not usually in charge of developing or maintaining data architecture. Most data scientist jobs ask for a master’s degree in data science or a related field.

Skill set

Roles and Responsibilities

Salary

On average, a Data Analyst earns an annual salary of $67,377

A Data Engineer earns $116,591 per annum

And a Data Scientist, on average, makes $117,345 in a year

Hope now you understand which is the best role for you.

I love Data Scientist job and recommend you the same as it is the most sexiest job of the 21st century. So, what are you waiting for? Start working on yourself and get a good job.

References:
Helping other data scientists leads to LESS competition, not MORE!
Tags: Data Scientist, Machine Learning Ai, Data Analysis, Data Science, Machine Learning

People are afraid of competition. This is normal, it's a matter of survival. By adding the famous quote "information is power" to the equation, sharing information can seem risky. I mean, why would someone share their knowledge for free if this is the same as giving power to a potential competitor (to beat him/her in the game)?

This is a common conclusion, which I've heard a few times and after some thinking I can now affirm for sure: IT'S WRONG.

First of all, let's think about our Data Science / Machine Learning bubble. We have people sharing tutorials in Medium, posting their Machine Learning models on Kaggle, answering people's questions on StackOverflow and so on. If you think about it, this is how our community has grown so fast. We helped others, we spent hours and hours sharing everything we learned online for free. Even big companies, such as O'Reilly and Springer editors, are helping the community for free — I bet you've already read some of their books online, haven't you?

Perhaps due to the internet advance, we are living now something that we've never seem before in terms of sharing knowledge. And if you think about it, instead of slowing people's growth, this actually helped both those who share information and who only consume. It's pretty hard to get this contrafactual, but I strongly believe that by sharing knowledge, we are making the Data Science area develop much more than it would if we kept the information for us.

Let's think about it?

By sharing these great tutorials, we are providing more good data scientists to the market. By having more good data scientists, companies start to notice the importance of data professionals. So this leads to more companies starting their own data science area, which then increases the number of positions, also increasing the salary.

In a parallel universe, people wouldn't share any Python tutorials, book publishers wouldn't share anything for free and only a few people would learn data science. This would lead to less companies perceiving our value, which would then lead to a world with much less data science positions and perhaps a lower salary.

I know it's hard to think about this contrafactual and I probably used some premises that some folks will not agree with; but I hope I could convince some of you that providing the data science community with your knowledge is good. By helping others, you are helping yourself and I reckon this is the most convincing argument I can use.
Introducing Rocketbook Axis
By: Rocketbook Launchpad
Tags: Rocketbook, Reusable Notebook, Productivity, Kickstarter

What is the Axis?

The Rocketbook Axis is a premium notebook, personalized to you. Like our Core and Fusion notebooks, Axis’ pages can be easily erased with water.

Unlike our other notebooks, the Axis has a hard composite cover, ergonomic Pen Pool, and side-bound modularity for a customized note-taking experience. Our Page Packs have unique templates that can be swapped in and our for any writing mission.

Make no mistake, the Rocketbook Axis doesn’t only exist in the analog world. Use the scanning capabilities of the Rocketbook app with the Axis’ page packs to instantly adjust and visually enhance your notebook scans, ensuring the digital version is light years ahead of the real thing! Once scanned, send your notes to your preferred cloud storage destination with the Rocketbook app.

Why Did We Build It?

We. Are. Notebook. Nerds. We believe paper notebooks are wasteful, inefficient, and just… kinda boring.

So what did we do about it? We designed the Rocketbook Axis.

The Axis notebook is for creators, innovators, and trailblazers. For entrepreneurs, productivity gurus, 5 to 9ers, stay-up-laters, hackers, makers, and tinkerers. With the Rocketbook Axis, what will you create?

Blast your scanned notes online with the free Rocketbook App

We design all of our products to rescue humanity and the planet from boring and wasteful writing surfaces. The Rocketbook Axis is no different. With pages that can be erased for endless reusability, the Axis will save paper while helping build a more sustainable future. So whether you’re looking to personalize your note-taking, help save the planet, or just want a futuristic notebook, the Rocketbook Axis is made for you.

Step into the future of notebooks here: see our Kickstarter Campaign.

Follow us: TikTok | Facebook | Instagram | Twitter | LinkedIn | YouTube
Its Official: Treble and Tangerine Are Taking The Plunge
By: Treble Industries
Tags: Music Technology, New York City, Music, Startup, Kickstarter

Today, I am proud to announce that Treble.fm and Tangerine House will be joining forces under Treble Industries. To commemorate this announcement, we will be throwing a corporate wedding on February 25th. Surrounded by our favorite artists, musicians, and industry friends, we’ll celebrate our new union by coming together as one community.

RSVP LINK

There will be cake. There will be cocktails. There will be dancing. There will be mingling. There will be a wedding band assembled from the best musicians within Treble and Tangerine’s respective communities. And everyone will be dressed like it’s still Grammy season.

Join us for what is sure to be a historic evening. Also, did I mention the cake?

Some of you may have never heard of a corporate wedding before. And thats probably because its a thing that we made up.

However…

Let me be clear. This is a night that we will be taking very seriously.

Ever since we first crossed paths with Tangerine House, we’ve admired the amazing community that they’ve built through their artist co-living spaces. Throughout the year, I’ve grown close with Sam and Sean (founders of Tangerine House.) And I’ve watched as our two separate worlds gradually began to blend.
CYCOP Swift 2.0 Backpack Review
By: Geoff C
Tags: Backpack, Reviews, Everyday Carry, Bags, Kickstarter

There are two key ways that backpack manufacturers can truly differentiate their products. The first is either through really high quality design. These backpacks can be simple, but done well. They’re comfortable, versatile, durable, and easy to use. Examples that come to my mind in this category are Evergoods and GoRuck. The second way is to create innovative and novel features. Things that are brand new to the market or still very uncommon or maybe even esoteric. This is where I see CYCOP’s position. You may remember CYCOP from their previous backpacks — the Daypac and the Swift. Both had very unique designs that weren’t really seen in the world of backpacks before. The Swift 2.0 is the next iteration of the Swift backpack and has significant redesigns while maintaining the most noticeable feature of the bag — the S-zipper.

Before we dive in, I just want to note that the Swift 2.0 is currently on Kickstarter. The campaign wraps up in a couple more weeks so you don’t have much time left to back it. Full disclosure — we received a pre-production sample of the Swift 2.0 from the CYCOP team and this is a sponsored review; but as always we ensure that we are completely honest in our feedback on the bag including the good and the bad (and the ugly?)

One last note, because of the timing of their Kickstarter campaign, I’m writing this review after using the backpack for ~2 weeks, which is a shorter period than we typically use a backpack before writing a review. So this is more of a concise initial review. I definitely have used the backpack enough to have a lot of thoughts about it, but compared to other backpacks this one also takes longer to get accustomed to using.
32°N - Glasses that adapt to you.
Tags: 32n Sunglasses, Smart Sunglasses, Deep Optics, Reading Glasses, Kickstarter

2-in-1 Smart Glasses Turn from Sunglasses Into Reading Glasses With a Swipe.

They were developed by Deep Optics, a company based in Israel, which claims the glasses are the first and only adaptive focus sunglasses on the market. What that means is that the 32ºN can change their focus to any distance, saving you the trouble of constantly switching from your sunglasses to your reading ones.

The sunglasses come with a classic design and weigh less than 1.7 oz (50 grams). Even though they look like your ordinary sunglasses for the untrained eye, they pack quite an impressive technology, which is proprietary to Deep Optics. The 32ºN have a tiny processor embedded in the temple, touch control, Bluetooth, and a rechargeable battery.

The way they work is by swiping the touch-sensitive arm of the glasses, which puts the processor at work to calculate the lens data for your specific magnification needs. It then sends that data to the liquid crystal dynamic lenses.

Another swipe will get them back to the “sunglasses” mode.

The Deep Optics glasses come with an app that lets you customize your glasses and adjust your magnification according to your needs.

The 32ºN sunglasses are equipped with a rechargeable battery that can run the glasses for a full day of use. If the battery is drained, the lenses switch off automatically, leaving the glasses in a clear state, focused on far distance.

more information click here .
How do I get a Light Pong? What is Kickstarter?
By: Aaqib At Light Pong
Tags: Crowdfunding, Retro Gaming, Toys, Videogames, Kickstarter

Many of you have asked me how you can purchase a Light Pong. Light Pong is going be launching on Kickstarter. When I tell people this, the next question I’m asked is “What’s Kickstarter?”.

What is Kickstarter?

Kickstarter is an online fundraising platform. Creators like us post our projects, showing you the finished product, laying out potential risks, and providing progress updates. Then, people (like you) can pledge money towards the project, earning a reward (a Light Pong if you pledge the right amount!) if the project meets its fundraising goal by the deadline.

Kickstarter has received more than $4.6 billion in pledges from 17.2 million backers to fund 445,000 projects, such as films, music, stage shows, comics, journalism, video games, technology, publishing, and food-related projects.

Why am I telling you this?

Our data indicates that only 9% of people on our this mailing list have a Kickstarter account. Light Pong is launching on Kickstarter exclusively, and we want to make sure you’re familiar and comfortable with the platform so you can be one of the first to play.

Did you know: Kickstarter’s algorithm tracks momentum very closely. Your support on launch day is what will lead Kickstarter to feature Light Pong on the coveted front page.

My request.

If there’s ONE thing you do after reading this: go check out Kickstarter.com and more importantly, CREATE AN ACCOUNT! The best way to understand how Kickstarter works is to back a Kickstarter project. You can back projects for as little as $1. I highly recommend it!

Kickstarter.com