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Pokemon Legends: Arceus has the potential to be the Pokemon game of my childhood dreams, and it comes so close to being just that. By shifting the Pokemon formula to focus on enhanced open-world exploration, and the quest to catch 'em all, Pokemon Legends: Arceus has truly revolutionized the series for a more modern audience. But that's not to say that it's perfect, as there are a couple of elements that hold this experimental Pokemon game back from being the very best the series has ever been. What it is able to accomplish is impressive, particularly for a 25-year-old series that's always been a little rigid with its formula. <br/><br/>Release date: January 28, 2022<br/>Platform: Nintendo Switch<br/>Developer: Game Freak<br/>Publisher: Nintendo<br/><br/>Game Freak has cleverly accomplished this long-overdue evolution by essentially starting from scratch, teleporting us back to a point in time long before anything we've seen in the series to date. You're exploring the Hisui region, an early version of Sinnoh where there's just one major settlement. That's Jubilife Village, which acts as the central hub from which you'll head out on expeditions to explore the land, help the residents, and discover new Pokemon. It works well as a base of operations, and as a space that will gently grow and change over time with shops and other facilities. It's also filled with people who are desperate to share in your adventure and learn more about the Pokemon roaming the wilds of Hisui around them.<br/><br/>You are tasked with completing the locale's first Pokedex as part of the Galaxy Team's Survey Corp, which essentially boils down to three different formats – discovering a Pokemon, catching a Pokemon, and completing a Pokemon's Pokedex entry by completing research tasks to move up the knowledge ranks until you max out at 10. This can be accomplished by observing a Pokemon using a certain move, catching or defeating a specific number, or allowing it to evolve. I'm admittedly disappointed to find there aren't more Pokemon Snap-inspired observational research tasks, where watching a Pokemon's behavior becomes as important as catching or battling it, as the tasks you're given in Pokemon Legends: Arceus can feel a little repetitive – particularly if you truly want to complete your 'dex.

Pokémon Legends: Arceus For Beginners

⏲ 5:18 👁 150K

Data School

How do I work with dates and times in pandas?

⏲ 10 minutes 21 seconds 👁 91.2K

TradersCode

How to convert datetime into a datetime format in Python #pandas #timeseries #backtesting #datetime

⏲ 10 minutes 18 seconds 👁 2.5K

️ Dive into the lush tropical islands and thrilling action scenes of One Piece with Barnstorm VFX's stunning visual effects!Experience the vibrant world of this epic adventure anime brought to life with incredible CGI and immersive effects. Don't miss out on the magic behind the scenes! ⚓<br/><br/>The VFX are made by:<br/>Framestore<br/>Rising Sun Pictures<br/>Goodbye Kansas Studios (VFX Supervisor: Felipe Borges)<br/>Ingenuity Studios<br/>Barnstorm VFX<br/>Eyeline Studios<br/>Scanline VFX<br/>Refuge<br/>CoSA VFX<br/>Incessant Rain<br/>NetFX<br/><br/>The Production VFX Supervisor Victor Scalise<br/>The Production VFX Producer is Scott Ramsey<br/><br/>...<br/>Storyline:<br/>In a seafaring world, a young pirate captain sets out with his crew to attain the title of Pirate King, and to discover the mythical treasure known as 'One Piece.'<br/><br/>Directed by:<br/>Marc Jobst<br/>Tim Southam<br/>Emma Sullivan<br/>Josef Kubota Wladyka<br/><br/>Stars:<br/>Iñaki Godoy<br/>Emily Rudd<br/>Mackenyu<br/>Jacob Romero Gibson<br/>Taz Skylar<br/>Vincent Regan<br/>Jeff Ward<br/>Morgan Davies<br/><br/>Cinematography:<br/>Nicole Hirsch Whitaker<br/>Michael Wood<br/><br/>Edited by:<br/>Kevin D. Ross<br/>Tessa Verfus<br/>Eric Litman<br/>Tirsa Hackshaw<br/><br/>Music by:<br/>Sonya Belousova<br/>Giona Ostinelli<br/><br/>Countris of Origin:<br/>United Kingdom<br/>United States<br/>South Africa<br/>Japan<br/><br/>Language:<br/>English<br/><br/>Release date:<br/>August 31, 2023 (Netflix)<br/><br/>Project Category / Genres: TV Series, Action, Adventure, Comedy, Drama, Fantasy<br/><br/>Credit: Barnstorm VFX, Kaji Productions, Tomorrow Studios, Shueisha, Netflix & Vincent Frei<br/><br/>Find More about Barnstorm VFX on their website:<br/>https://www.barnstormvfx.com/<br/><br/>IMDb:<br/>https://www.imdb.com/title/tt11737520/<br/><br/>Wikipedia:<br/>https://en.wikipedia.org/wiki/One_Piece_(2023_TV_series)<br/><br/>Also known as:<br/>Project Panda<br/><br/>&#&#&#&#&#<br/>\

One Piece | VFX Breakdown by Barnstorm VFX

⏲ 1:13 👁 15K

Corey Schafer

Python Pandas Tutorial (Part 10): Working with Dates and Time Series Data

⏲ 35 minutes 41 seconds 👁 149.5K

Koolac

Read (Parse) Files Containing Dates in Python Pandas (date parser)

⏲ 5 minutes 34 seconds 👁 2.3K

Disneynature, in its ongoing quest to bring the natural world to the big screen as never before, presents its most ambitious project to date, taking moviegoers on a grand journey into the wilds of China. “Born In China” follows the adventures of three animal families — the majestic panda, the savvy golden monkey and the elusive snow leopard. <br/> <br/>Featuring stunning imagery, the film navigates the vast terrain—from the frigid mountains to the heart of the bamboo forest—on the wings of a red-crowned crane, showcasing remarkably intimate family moments captured on film for the first time ever.

Born in China - Official Movie Trailer #1 (2016) HD - Disneynature Movie

⏲ 1:14 ✓ 21-Mar-2024

Python Simplified

Ultimate Guide to Datetime! Python date and time objects for beginners

⏲ 15 minutes 50 seconds 👁 21.9K

DataDaft

Python for Data Analysis: Dealing With Dates

⏲ 11 minutes 5 seconds 👁 4.3K

Disneynature, in its ongoing quest to bring the natural world to the big screen as never before, presents its most ambitious project to date, taking moviegoers on a grand journey into the wilds of China. \

Born in China - Official Movie TRAILER 1 (2016) HD - Disneynature Movie

⏲ 1:14 ✓ 21-Mar-2024

Corey Schafer

Python Tutorial: Datetime Module - How to work with Dates, Times, Timedeltas, and Timezones

⏲ 27 minutes 49 seconds 👁 256.3K

Epython Lab

The Easiest Way to Parse Dates and Time into Standard Format

⏲ 11 minutes 23 seconds 👁 419

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