Bücher tauschen
Triff andere Personen in deiner Nähe, die sich auch für Bücher tauschen interessieren, damit ihr Erfahrungen austauschen und euch gegenseitig inspirieren könnt! Tritt einer Gruppe zum Thema Bücher tauschen bei.
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Ja! Schau dir die bücher tauschen Veranstaltungen an, die heute stattfinden hier. Das sind persönliche Treffen, bei denen du Gleichgesinnte treffen und sofort an Aktivitäten teilnehmen kannst.
Entdecke alle bücher tauschen Veranstaltungen, die diese Woche stattfinden hier. Plane im Voraus und nimm an spannenden Meetups während der Woche teil.
Auf jeden Fall! Finde bücher tauschen Veranstaltungen in deiner Nähe hier. Verbinde dich mit deiner lokalen Community und entdecke Veranstaltungen in deiner Umgebung.
Bücher tauschen Veranstaltungen in deiner Nähe
Verbinde dich mit deiner lokalen Bücher tauschen Community
Bad Girls Book Club April 2026
**Our April novel is: *The Hong Kong Widow* by Kristen Loesch**
**This month’s novel blends gothic atmosphere with historical fiction and chilling horror, set against the haunting backdrop of China. The book is 368 pages in print and 10 hours and 42 minutes on audiobook.**
In 1950s Hong Kong, Mei is a young refugee of the Chinese Communist revolution struggling to put her past in Shanghai behind her. When she receives a shocking invitation—to take part in a competition in one of the city's most notorious haunted houses, pitting six spirit mediums against one another in a series of six séances over six nights, until a single winner emerges—she has every reason to refuse.
Except that the hostess, a former Shanghainese silent film star, is none other than the wife of the man who once destroyed Mei’s entire life.
It is promised the winner will receive a fortune, but there is only one prize Mei wants: revenge.
Decades later, the final night of that competition has become an infamous urban legend: The police were called to the scene of a brutal massacre but found no evidence, dismissing it as a collective hallucination. Mei knows what she saw, but now someone else is convinced they know what she did. She must uncover the truth about the last night she ever spent in that house—even if the ghosts of her past are waiting for her there. . . .
Columbus Chess Club
This is a time where players of all ages, and skill levels can gather and enjoy a nice Sunday full of Chess!
Book Bedazzling (BYOB) - Bloodguard by Cecy Robson
Let's bedazzle some books while we discuss our April pick: Bloodguard by Cecy Robson!
Book description:
One hundred years. Tens of thousands of gladiators. And today, only one will rise…
Everything in the Kingdom of Arrow is a lie.
Leith of Grey thought coming to this new land and volunteering to fight in the gladiator arena—vicious, bloodthirsty tournaments where only the strongest survive—would earn him enough gold to save his dying sister. He thought there was nothing left to lose.
He was wrong—and they took everything. His hope. His freedom. His very humanity.
All Leith has left is his battle-scarred body, fueled by rage and hardened from years of fighting for the right to live another day.
Then Leith meets Maeve, an elven royal who is everything he despises. Everything he should hate. Until the alluring princess offers him the one thing he needs most: a chance to win the coveted title of Bloodguard—and his freedom.
But in a kingdom built on secrets and lies, hope doesn’t come cheap.
Nor will his ultimate revenge…
Event:
Please bring your own book, journal, bookmarks, etc to bedazzle. If you have bedazzling supplies, please bring them as well. I will supply gems, glue, and picker tools, but if you have certain colors in mind, you may want to bring your own.
Imposter Syndrome by Kathy Wang
Semi in honor of March being International Women's Month
Columbus libraries: [https://cml.bibliocommons.com/v2/record/S105C3454709](https://cml.bibliocommons.com/v2/record/S105C3454709)
Location: SOW Plated
Menu: [https://www.sowplated.com/menu-brunch/](https://www.sowplated.com/menu-brunch/)
Book summary:
In 2006 Julia Lerner is living in Moscow, a recent university graduate in computer science, when she's recruited by Russia's largest intelligence agency. By 2018 she's in Silicon Valley as COO of Tangerine, one of America's most famous technology companies. In between her executive management (make offers to promising startups, crush them and copy their features if they refuse); self promotion (check out her latest op-ed in the WSJ, on Work/Life Balance 2.0); and work in gender equality (transfer the most annoying females from her team), she funnels intelligence back to the motherland. But now Russia's asking for more, and Julia's getting nervous. Alice Lu is a first generation Chinese American whose parents are delighted she's working at Tangerine (such a successful company!). Too bad she's slogging away in the lower echelons, recently dumped, and now sharing her expensive two-bedroom apartment with her cousin Cheri, a perennial "founder's girlfriend". One afternoon, while performing a server check, Alice discovers some unusual activity, and now she's burdened with two powerful but distressing suspicions: Tangerine's privacy settings aren't as rigorous as the company claims they are, and the person abusing this loophole might be Julia Lerner herself. The closer Alice gets to Julia, the more Julia questions her own loyalties. Russia may have placed her in the Valley, but she's the one who built her career; isn't she entitled to protect the lifestyle she's earned?
🍕Stone Bar & Kitchen🍕
Join us for pizza and conversation at Stone Bar & Kitchen 🍕
Good slices, good stories, and plenty of laughs around the table. Come hungry, bring your best conversation, and let’s enjoy a relaxed evening with great company.
Extra cheese and extra chatter encouraged! 😄
CBusData: The Fellowship of the Star Schema: Transforming OLTP Data for Power BI
The Fellowship of the Star Schema: Transforming OLTP Data for Power BI
One does not simply build reports on OLTP data. Join us on an epic journey from the depths of raw, normalized tables to the shining halls of a well-modeled star schema fit for Power BI greatness. We will demystify the differences between OLTP and OLAP, walk through star schema vs snowflake (and why Power BI has a clear favorite), and show you the compression differences between normalized and columnar storage that will make you never look at an OLTP model the same way again.
We will cover the different types of dimensions, when to use them, and how to handle Slowly Changing Dimensions without losing your mind. You will leave knowing exactly how to identify a bad model, how to convert OLTP data into a clean star schema, and how to forge relationships that rule them all.
Whether you are a data wizard, a curious hobbit, or somewhere in between, your models will never be the same.






