Léon: The Professional Actors - Before and After 2018
Leon: The Professional (1994) Cast:
1. Jean Reno (Léon) 00:08
2. Natalie Portman (Mathilda) 00:16
3. Gary Oldman (Stansfield) 00:23
4. Danny Aiello (Tony) 00:31
5. Michael Badalucco (Mathilda's Father) 00:38
6. Ellen Greene (Mathilda's Mother) 00:46
7. Elizabeth Regen (Mathilda's Sister) 00:53
8. Peter Appel (Malky) 01:01
9. Willi One Blood (1st Stansfield Man) 01:08
10. Don Creech (2nd Stansfield man) 01:15
11. Keith A. Glascoe (3rd Stansfield man) 01:23
12. Luc Bernard (Mickey) 01:30
13. Maïwenn Le Besco (Blond Babe) 01:37
14. Jessie Keosian (Old Lady) 01:45
15. George Martin (Receptionist) 01:52
16. Stuart Rudin (Leon's Taxi driver) 02:00
17. Peter Vizard (Doctor) 02:07
18. Joseph Malerba (Stairway Swat) 02:15
19. Robert LaSardo (Client #1) 02:22
Léon: The Professional Soundtracks:
Sting - Shape Of My Heart
Éric Serra - The Experience of Love
Björk - Venus As A Boy
Gene Kelly - I Like Myself
Natalie Portman - Like a Virgin
Natalie Portman - Happy Birthday
Natalie Portman - Singing in the Rain
Léon: The Professional (French: Léon; originally released in the United States as The Professional) is a 1994 English-language French thriller film written and directed by Luc Besson. It stars Jean Reno and Gary Oldman, and features the motion picture debut of Natalie Portman.
Léon: The Professional is to some extent an expansion of an idea in Besson's earlier 1990 film, La Femme Nikita (in some countries Nikita). In La Femme Nikita Jean Reno plays a similar character named Victor. Besson described Léon as "Now maybe Jean is playing the American cousin of Victor. This time he's more human.
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This site provides links to random videos hosted at YouTube, with the emphasis on random.
The original idea for this site actually stemmed from another idea to provide a way of benchmarking the popularity of a video against the general population of YouTube videos. There are probably sites that do this by now, but there wasn’t when we started out. Anyway, in order to figure out how popular any one video is, you need a pretty large sample of videos to rank it against. The challenge is that the sample needs to be very random in order to properly rank a video and YouTube doesn’t appear to provide a way to obtain large numbers of random video IDs.
Even if you search on YouTube for a random string, the set of results that will be returned will still be based on popularity, so if you’re using this approach to build up your sample, you’re already in trouble. It turns out there is a multitude of ways in which the YouTube search function makes it very difficult to retrieve truly random results.
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YouTube is an American video-sharing website headquartered in San Bruno, California. YouTube allows users to upload, view, rate, share, add to playlists, report, comment on videos, and subscribe to other users. It offers a wide variety of user-generated and corporate media videos. Available content includes video clips, TV show clips, music videos, short and documentary films, audio recordings, movie trailers, live streams, and other content such as video blogging, short original videos, and educational videos. Most content on YouTube is uploaded by individuals, but media corporations including CBS, the BBC, Vevo, and Hulu offer some of their material via YouTube as part of the YouTube partnership program. Unregistered users can only watch videos on the site, while registered users are permitted to upload an unlimited number of videos and add comments to videos. Videos deemed potentially inappropriate are available only to registered users affirming themselves to be at least 18 years old.
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YouTube has faced criticism over aspects of its operations, including its handling of copyrighted content contained within uploaded videos, its recommendation algorithms perpetuating videos that promote conspiracy theories and falsehoods, hosting videos ostensibly targeting children but containing violent and/or sexually suggestive content involving popular characters, videos of minors attracting pedophilic activities in their comment sections, and fluctuating policies on the types of content that is eligible to be monetized with advertising.