#samza

[foxeshum]

as i am not just a techza shipper, i will also be yapping about other phil ships i like. because i am crazy

anyways jschlatt and phil were such a good combination?!? ugh i MISS them so MUCH

i almost wish phil was in the SDMP. im stuck with rewatching hexxit for the billionth time, which is fine i love hexxit but GOD DAMN IT!!!!!!!! hexxit homos you have my heart and i’ll miss you forever come back to me

i feel the same way with sam and philza. ugh. UGH! they were so good, the friends to enemy stuff? peak. PEAK!!!!!!! i think philza should hold everyones hands and give them a little kiss. just for fun. i might ramble about my philza polycue headcanons at some point since i . really like poly philza

[wally-b-feed]

Anthony Fineran (B 1981), Addit Samza, 2023

[raf-is-missing]

@xxrokurokuxx @xxrokurokuxx @xxrokurokuxx @xxrokurokuxx

Blessed 🙌

[mrlagoswahala]

Samza X Natasha Beckley "DOPE"

Samza X Natasha Beckley “DOPE” mp3 download in my zone always move with a black Skully Skin tight A*s phat with a flat tummy Play boy hear him say he need a bad bunny Heard that nigga f*ck n tell he a Telly tubby Mammie queen Give dem chills like it’s windy So much gold on the body like I’m Hindi nice but don’t cross my path Don’t offend me give two f*cks bout a bum ass nigga that’s on fendi -…

[project-sekai-archives]

Alt vocals

Samza

[winterlilyarts]

Finally did a proper photoshoot in Samza Mizuki! God I love these photos so much

Photos done by mangobread.photography on Instagram!

[ihopeucomehomesoon]

girl you fall asleep listing to Kafka's metamorphosis? that cannot be good for your mental health!!! I am begging you to put on some Jane Austen or whale noises or something!!

i need to tap back into this! i sometimes listen to brainrot podcasts to fall asleep but it doesn’t hit the same compared to when i used to listen to the metamorphosis to fall asleep. like just from that first line it puts me into bedtime mode. “one morning, as gregor samza was waking up from anxious dreams he discovered that in bed he had been changed into a monstrous verminous bug” one of the best first lines ever btw as gregor samza awakes from anxious dreams i am entering them 🛌😴

[owlyflufff]

hello! not related to bokuaka or haikyu but I was wondering what kind of music do you enjoy/listen to? do you have any recommendations while you're at it?

Hi hi anon!

Thank you for the ask and I'm sorry for not being able to respond early TvT! As mentioned in the previous ask, I've been really busy the past few months but I am sort of free for a few weeks to yay :DD!

To answer your question, I think my music tastes is all over the place so I can't say there's a specific artist or genre that I enjoy xD I don't listen often to mainstream artists like Taylor Swift or keep up with the latest music trends for that matter, I'm just in my corner enjoying musicals, game osts and other gems I've found or my friends recommend to me!

If there was a band whose music encapsulates my vibes it's definitely Good Kid! They're well known for their cover of From the Start but I highly recommend listening to their other songs too <33

As of right now, I've been leaning into a lot of vocaloid music and I also recently got into project sekai so there's that xD

Some of my favorite songs or ones I've had on loop for a while are (in no order whatsoever):

Patchwork Staccato

Shoujorei

Goodbye Declaration

Charles

Gehenna

Samza (Nightcord at 25)

Donna Ketsumatsu ga Onozomi dai? (Wonderlands x Showtime)

Hoshizora Orchestra (Wonderlands x Showtime)

the WALL (Leo/Need)

Mr. Showtime (Wonderlands x Showtime)

[govindhtech]

Apache Beam For Beginners: Building Scalable Data Pipelines

Apache Beam

Apache Beam, the simplest method for streaming and batch data processing. Data processing for mission-critical production workloads can be written once and executed anywhere.

Overview of Apache Beam

An open source, consistent approach for specifying batch and streaming data-parallel processing pipelines is called Apache Beam. To define the pipeline, you create a program using one of the open source Beam SDKs. One of Beam’s supported distributed processing back-ends, such as Google Cloud Dataflow, Apache Flink, or Apache Spark, then runs the pipeline.

Beam is especially helpful for situations involving embarrassingly parallel data processing, where the issue may be broken down into numerous smaller data bundles that can be handled separately and concurrently. Beam can also be used for pure data integration and Extract, Transform, and Load (ETL) activities. These operations are helpful for loading data onto a new system, converting data into a more suitable format, and transferring data between various storage media and data sources.Image credit to Apache Beam

How Does It Operate?

Sources of Data

Whether your data is on-premises or in the cloud, Beam reads it from a wide range of supported sources.

Processing Data

Your business logic is carried out by Beam for both batch and streaming usage cases.

Writing Data

The most widely used data sinks on the market receive the output of your data processing algorithms from Beam.

Features of Apache Beams

Combined

For each member of your data and application teams, a streamlined, unified programming model for batch and streaming use cases.

Transportable

Run pipelines across several execution contexts (runners) to avoid lock-in and provide flexibility.

Wide-ranging

Projects like TensorFlow Extended and Apache Hop are built on top of Apache Beam, demonstrating its extensibility.

Open Source

Open, community-based support and development to help your application grow and adapt to your unique use cases.

Apache Beam Pipeline Runners

The data processing pipeline you specify with your Beam program is converted by the Beam Pipeline Runners into an API that works with the distributed processing back-end of your choosing. You must designate a suitable runner for the back-end where you wish to run your pipeline when you run your Beam program.

Beam currently supports the following runners:

The Direct Runner

Runner for Apache Flink Apache Flink

Nemo Runner for Apache

Samza the Apache A runner Samza the Apache

Spark Runner for Apache Spark by Apache

Dataflow Runner for Google Cloud Dataflow on Google Cloud

Jet Runner Hazelcast Jet Hazelcast

Runner Twister 2

Get Started

Get Beam started on your data processing projects.

Visit our Getting started from Apache Spark page if you are already familiar with Apache Spark.

As an interactive online learning tool, try the Tour of Beam.

For the Go SDK, Python SDK, or Java SDK, follow the Quickstart instructions.

For examples that demonstrate different SDK features, see the WordCount Examples Walkthrough.

Explore our Learning Resources at your own speed.

on detailed explanations and reference materials on the Beam model, SDKs, and runners, explore the Documentation area.

Learn how to run Beam on Dataflow by exploring the cookbook examples.

Contribute

The Apache v2 license governs Beam, a project of the Apache Software Foundation. Contributions are highly valued in the open source community of Beam! Please refer to the Contribute section if you would want to contribute.

Apache Beam SDKs

Whether the input is an infinite data set from a streaming data source or a finite data set from a batch data source, the Beam SDKs offer a uniform programming model that can represent and alter data sets of any size. Both bounded and unbounded data are represented by the same classes in the Beam SDKs, and operations on the data are performed using the same transformations. You create a program that specifies your data processing pipeline using the Beam SDK of your choice.

As of right now, Beam supports the following SDKs for specific languages:

Java SDK for Apache Beam Java

Python’s Apache Beam SDK

SDK Go for Apache Beam Go

Apache Beam Python SDK

A straightforward yet effective API for creating batch and streaming data processing pipelines is offered by the Python SDK for Apache Beam.

Get started with the Python SDK

Set up your Python development environment, download the Beam SDK for Python, and execute an example pipeline by using the Beam Python SDK quickstart. Next, learn the fundamental ideas that are applicable to all of Beam’s SDKs by reading the Beam programming handbook.

For additional details on specific APIs, consult the Python API reference.

Python streaming pipelines

With Beam SDK version 2.5.0, the Python streaming pipeline execution is possible (although with certain restrictions).

Python type safety

Python lacks static type checking and is a dynamically typed language. In an attempt to mimic the consistency assurances provided by real static typing, the Beam SDK for Python makes use of type hints both during pipeline creation and runtime. In order to help you identify possible issues with the Direct Runner early on, Ensuring Python Type Safety explains how to use type hints.

Managing Python pipeline dependencies

Because the packages your pipeline requires are installed on your local computer, they are accessible when you execute your pipeline locally. You must, however, confirm that these requirements are present on the distant computers if you wish to run your pipeline remotely. Managing Python Pipeline Dependencies demonstrates how to enable remote workers to access your dependencies.

Developing new I/O connectors for Python

You can develop new I/O connectors using the flexible API offered by the Beam SDK for Python. For details on creating new I/O connectors and links to implementation guidelines unique to a certain language, see the Developing I/O connectors overview.

Making machine learning inferences with Python

Use the RunInference API for PyTorch and Scikit-learn models to incorporate machine learning models into your inference processes. You can use the tfx_bsl library if you’re working with TensorFlow models.

The RunInference API allows you to generate several kinds of transforms since it accepts different kinds of setup parameters from model handlers, and the type of parameter dictates how the model is implemented.

An end-to-end platform for implementing production machine learning pipelines is called TensorFlow Extended (TFX). Beam has been integrated with TFX. Refer to the TFX user handbook for additional details.

Python multi-language pipelines quickstart

Transforms developed in any supported SDK language can be combined and used in a single multi-language pipeline with Apache Beam. Check out the Python multi-language pipelines quickstart to find out how to build a multi-language pipeline with the Python SDK.

Unrecoverable Errors in Beam Python

During worker startup, a few typical mistakes might happen and stop jobs from commencing. See Unrecoverable faults in Beam Python for more information on these faults and how to fix them in the Python SDK.

Apache Beam Java SDK

A straightforward yet effective API for creating batch and streaming parallel data processing pipelines in Java is offered by the Java SDK for Apache Beam.

Get Started with the Java SDK

Learn the fundamental ideas that apply to all of Beam’s SDKs by beginning with the Beam Programming Model.

Further details on specific APIs can be found in the Java API Reference.

Supported Features

Every feature that the Beam model currently supports is supported by the Java SDK.

Extensions

A list of available I/O transforms may be found on the Beam-provided I/O Transforms page.

The following extensions are included in the Java SDK:

Inner join, outer left join, and outer right join operations are provided by the join-library.

For big iterables, sorter is a scalable and effective sorter.

The benchmark suite Nexmark operates in both batch and streaming modes.

A batch-mode SQL benchmark suite is called TPC-DS.

Euphoria’s Java 8 DSL for BEAM is user-friendly.

There are also a number of third-party Java libraries.

Java multi-language pipelines quickstart

Transforms developed in any supported SDK language can be combined and used in a single multi-language pipeline with Apache Beam. Check out the Java multi-language pipelines quickstart to find out how to build a multi-language pipeline with the Java SDK.

Read more on govindhtech.com

[project-sekai-updates]

「プロジェクトセカイ カラフルステージ！ feat. 初音ミク」をいつもご利用いただきましてありがとうございます。

12月20日よりワンダーランズ×ショウタイムの7th Single「Mr. Showtime/箱庭のコラル」が発売中です！

またダウンロード、ストリーミングでも配信いたします！ぜひお聴きください。

■CD販売について

ワンダーランズ×ショウタイムの7th Single「Mr. Showtime/箱庭のコラル」のCDの詳細はコチラ！

ダウンロード、ストリーミングの配信サイトの詳細は「KARENT」よりご確認ください。

また「連動購入特典対象店舗・ECショップ」にて、各ユニット5タイトルを連動購入されると7th Single5枚が収納可能な「特製収納ボックス」をプレゼントいたします！

連動購入特典対象店舗の詳細はコチラ！

■発売済みの7th Singleについて

【Vivid BAD SQUAD】

「ひつじがいっぴき/下剋上」10月25日より発売中！

CDの詳細はコチラ！

ダウンロード、ストリーミングの配信サイトの詳細はコチラ！

【25時、ナイトコードで。】

「ザムザ/キティ」11月8日より発売中！

CDの詳細はコチラ！

ダウンロード、ストリーミングの配信サイトの詳細はコチラ！

【Leo/need】

「Flyway/相生」11月22日より発売中！

CDの詳細はコチラ！

ダウンロード、ストリーミングの配信サイトの詳細はコチラ！

【MORE MORE JUMP！】

「私は、私達は/ももいろの鍵」12月6日より発売中！

CDの詳細はコチラ！

ダウンロード、ストリーミングの配信サイトの詳細はコチラ！

■注意事項

・内容やスケジュールは予告なく変更する場合がございます。

・ダウンロード、ストリーミングでの配信状況は各配信サイトにてご確認ください。

引き続き「プロジェクトセカイ カラフルステージ！ feat. 初音ミク」をよろしくお願いいたします。

[Google Translated Vers.]

Thank you for always using "Project Sekai Colorful Stage! feat. Hatsune Miku".

Wonderlands x Showtime's 7th single "Mr. Showtime/Hakoniwa no Corral" is on sale from December 20th!

It will also be available for download and streaming! Please give it a listen.

■About CD sales

Click here for CD details of Wonderlands x Showtime's 7th Single "Mr. Showtime/Hakoniwa no Corral"!

Please check "KARENT" for details on download and streaming distribution sites.

In addition, if you purchase 5 titles of each unit at a ``store/EC shop eligible for linked purchase benefits'', you will receive a ``special storage box'' that can hold 5 7th Singles!

Click here for details on stores eligible for linked purchase benefits!

■About the released 7th Single

[Vivid BAD SQUAD]

“Hitsuji ga Ippiki/Gekokujo” on sale from October 25th!

Click here for CD details!

Click here for details on download and streaming distribution sites!

[25:00, night code. ]

“Samza/Kitty” on sale from November 8th!

Click here for CD details!

Click here for details on download and streaming distribution sites!

[Leo/need]

“Flyway/Aioi” on sale from November 22nd!

Click here for CD details!

Click here for details on download and streaming distribution sites!

[MORE MORE JUMP! ]

“We are/Momoiro no Kagi” on sale from December 6th!

Click here for CD details!

Click here for details on download and streaming distribution sites!

■Notes

・Contents and schedule are subject to change without notice.

・Please check each distribution site for download and streaming distribution status.

Thank you for your continued support of "Project Sekai Colorful Stage! feat. Hatsune Miku".

[444names]

the entire article on the adlam script from wikipedia + estonian male forenames

Aanotte Aardit Aarno Abeted Ableksa Ables Abletinot Acribette Additing Adifined Adlabdo Adlang Adlati Adoterted Adoublock Adoweelo Ahimen Aimand Aleminer Alibe Alifing Alkulowely Allation Alphappo Amony Amzationst Andronaleks Anini Ansock Anteren Anworme Anwoulught Apected Arendin Arilay Arnot Asand Barefies Begin Beteet Bhaborm Bhapeelos Bleftental Bortes Botte Broseduarvo Buterilan Caper Capeseve Cater Chabic Chapply Chrativo Clame Claniseve Cloweeted Clowinant Codized Comply Computenu Cones Consondre Corme Corronso Culaboth Culdised Culock Curce Curmena Dayɗe Deleñol Delock Deriki Dertass Dharno Dhasal Diati Difineses Difing Diger Dittan Djaki Djaks Dothes Doubleand Dounni Drabdop Dralkular Drects Dreganned Droive Edevers Edized Eenedu Eetwel Effere Efick Eftest Eikes Enased Endrowevers Ented Enter Erimaived Ersimpunic Erteducate Eurowel Excla Exclamza Exclanym Exclat Exclati Exclayɗe Exclo Eyearkes Feritersime Follationer Folly Folver Fores Forry Forterent Forts Fouldis Founcted Fourvo Fronstan Fross Fulanym Ganda Gbethert Genotevish Glood Glook Glyphabdo Gnamzat Gnanstly Gnase Guany Guaripts Habloper Hamod Hapic Harno Hatia Haticoson Heines Hersimage Hicriati Hinguar Hypha Hyphamza Hyphrober Hyphrostav Indrotte Inedu Inerstan Inesed Inestal Iniges Inother Ipardic Ipter Ishater Ithere Itioneasepa Jaake Jaaking Jaannits Jaarek Jaarn Jaarvow Joided Joing Joosed Jooses Jooss Juagined Juhable Jukulame Jukulationg Jukule Jukus Jukusent Jürigit Jürilaid Jürimaras Kaado Kaadop Kaaksaliks Kaand Khang Kposock Kused Kusengtha Lamzalku Lations Lauppectur Layɗe Leannis Leford Leksaines Leksases Lemet Lenthey Leters Lettano Leñollay Lifing Likhateric Liking Linicasa Loninicas Lonsoule Lothe Lowelypha Lowers Macep Maconin Madlamonly Madlandight Madlaties Maged Magembeging Magently Maginely Maimpleñol Manish Manunds Maracrikh Maricapit Marituning Marvol Mater Mation Mayea Micasa Micat Milan Milat Minerst Minki Minned Moder Modige Moneass Mosed Moses Mosimanot Mulame Muleneripar Muleñolly Mundu Munnean Munnis Naged Nalpha Namonight Nanstak Nasalkuse Nasep Natic Natier Natinedgang Nationy Nerater Nigede Nusent Onage Onely Onerks Onges Onind Onsof Onsonda Opeope Oplaber Oplate Orrothen Ostans Otharn Ounnics Parawn Parkesepa Pecia Pecial Pecte Pedific Peely Peopmen Pheits Phenandel Pheng Pichabegits Picrilard Pitioni Prable Practesta Preaki Pregarke Prilareks Promet Promple Proth Protter Quesenesen Questaki Raconturry Raidedgant Randares Rectemiles Reffer Refor Regany Relot Rendifing Rentick Repare Rikhanned Ripts River Ronages Ronelson Rotten Runne Runnighand Sagesed Saing Samodialikh Samza Sasen Scrilacte Scrit Scrober Scrom Scrop Scrother Scrotters Sculaivo Seemed Senandi Sendified Sevelopes Severel Sevis Shandir Shapeopleks Shilypha Simationted Simeting Similyph Sionati Souncial Soundrobely Sparno Speopplek Sponalphra Sporrep Stable Staldis Stall Sticale Stinvo Stion Stiven Stopeen Suppects Supplars Suppo Suppong Supps Syllaivo Syllausa Sylly Systableñol Syste Tablotted Tabot Talock Tassion Tation Tatione Taupps Taused Thablek Thanned Thasang Thein Theit Theme Thems Thente Theral Therawn Thesponly Thilaupps Thimareks Toidu Toivel Tookin Toppost Tratina Tration Tuang Turce Turcep Tuter Unitinals Upostly Uppers Upple Urawing Uronly Ursion Usaldek Uscrialdely Ustion Valderen Valkulooso Vally Vandra Vowed Vowelower Vowesen Wasaimeders Wasame Wasan Wased Wasen Wever Whinu Wingers Witicassou Words Wormette Wounly Wounnea Wricas Wriparts Wript Writan Wriveduark Yearrom Yhasallowed

[pocket-lyricbook]

hi, if its alright, can you do [ samza by teniwoha ] or [ adios by dazbee ] english translyrics? i've wondered what either of them would sound in english! (to the beat)

hello!

okay so i HAVE been doing lyrics i just havent been posting here because the formatting for these is a bitch lol

but i have been working on making translyrics for every sekai commission, so i'll make sure to post the samza ones when i get there (which should be in a month or two)

as for your other request, ive never heard that song, but ill check it out and see if inspiration strikes ^^

[ao3feed-destiel-02]

It's Simple: All that You Need is in Your Soul Island Girl

It's Simple: All that You Need is in Your Soul, Island Girl https://ift.tt/jGszOLb by 1f_this_be_madness Dean has (or at least he had) the original idea to go to the beach - him, Sam, and Cas. But it was an offhand thing, a throwaway line. What he DIDN'T expect was for it to be, or become, anything other than a fantasy, for a day. And he definitely didn't expect the inclusion of ... company. Words: 3614, Chapters: 3/15, Language: English Fandoms: Supernatural (TV 2005) Rating: Mature Warnings: No Archive Warnings Apply Categories: F/F, F/M, Gen, M/M Characters: Dean Winchester, Castiel (Supernatural), Sam Winchester, Eileen Leahy, Garth Fitzgerald IV, Bess Myers, Gertie Fitzgerald, Sam Fitzgerald (Supernatural: The Heroes' Journey), Castiel Fitzgerald (Supernatural: The Heroes' Journey), Crowley (Supernatural), Miracle the Dog (Supernatural), Jody Mills, Donna Hanscum, Kaia Nieves, Claire Novak, Alex Jones (Supernatural), Patience Turner, The Empty | The Shadow (Supernatural) Relationships: Castiel/Dean Winchester, Eileen Leahy/Sam Winchester, Garth Fitzgerald IV/Bess Myers, Castiel & Jack Kline & Dean Winchester & Sam Winchester, Donna Hanscum/Jody Mills, Alex Jones & Kaia Nieves & Claire Novak & Patience Turner, Kaia Nieves/Claire Novak Additional Tags: Castiel Loves Dean Winchester, Castiel is Saved from the Empty (Supernatural), Castiel and Dean Winchester and Sam Winchester are Jack Kline's Parents, Islands, Beach House, Snorkels, Late Night Conversations, Fluff and Angst, Dancing, Day At The Beach, Swearing, Die Hard References, Silence, Awkwardness, Episode: s15e18 Despair - Castiel's Confession Scene (Supernatural), Awesome Eileen Leahy, Dean Winchester Uses ASL, Jack Kline as God, Family Dynamics, Caring Dean Winchester, Kissing, Holding Hands, Making Out, Making Love, Dean Winchester Has a Fear of Flying, Walks On The Beach, Drinking, Stargazing, References to Odd Thomas by Dean Koontz, Dean Winchester Needs to Use Actual Words, Self-Esteem Issues, Pop Culture, Cooking, Flirty Dean Winchester, Garth Fitzgerald IV Ships Castiel/Dean Winchester, Garth meets Cas because as far as I know he didn't in canon and that's a crime!, Brotherly Banter, Personal Space What Personal Space, Cuddling & Snuggling, Pre-Relationship, Castiel and Dean Winchester Being Idiots, Castiel Can Hear Longing (Supernatural), Lack of Communication, Hugs, Dean Winchester and his x-rated imagination, Garth's son Sam gets called Samza, Jack Kline is God But Also Still a Child, Dean Winchester Calls Castiel "Sunshine", Post-Canon Fix-It via AO3 works tagged 'Castiel/Dean Winchester' https://ift.tt/MCujRks April 02, 2023 at 09:23PM

[panafricreportersng]

Ahead of ECOFEST: Singer Samza Spills facts, encourages fans to attend

Ahead of ECOFEST: Singer Samza Spills facts, encourages fans to attend

Popular Sierra Leonean singer Samza spill hard facts about the irregularities of Sierra Leoneans concerning one of the biggest entertainment events ECOFEST. In his words, he feels sad and dismayed over people who are cherry-picking on the show, he feels people are psyching unnecessary drama over what he calls”Kabaka’s money” .He urged people to know their limits over people’s investment and that…

[winterlilyarts]

More Samza Mizuki for their birthday! This photoshoot was so fun and I love all the photos from it!

Photos done by mangobread.photography on Instagram!