$ / SF | SF | Monatliche Miete |
---|---|---|
Negotiable | 2,300 | Negotiable |
$ / SF | SF | Monatliche Miete |
---|---|---|
Negotiable | 4,500 | Negotiable |
$ 42 | 4,000 | $ 14,116 |
$ / SF | SF | Monatliche Miete |
---|---|---|
Please notify me when a new space is available |
$ / SF | SF | Monatliche Miete |
---|---|---|
Negotiable | 5,000 | Negotiable |
$ / SF | SF | Monatliche Miete |
---|
$ / SF | SF | Monatliche Miete |
---|
Type of Space | Class A | Class B | Class C |
---|---|---|---|
Windowed office/person | $ 2,000/mo | $ 1,250/mo | $ 750/mo |
Interior office/person | $ 1,250/mo | $ 750/mo | $ 500/mo |
Type of Space | Class A | Class B | Class C |
---|---|---|---|
Windowed office/person | $ 2,000/mo | $ 1,250/mo | $ 1,000/mo |
Interior office/person | $ 1,250/mo | $ 750/mo | $ 500/mo |
$ / SF | SF | >Monatliche Miete |
---|---|---|
Bitte benachrichtigen Sie mich, wenn ein neuer Platz verfügbar ist |
$ / SF | SF | >Monatliche Miete |
---|---|---|
Bitte benachrichtigen Sie mich, wenn ein neuer Platz verfügbar ist |
$ / SF | SF | >Monatliche Miete |
---|---|---|
Bitte benachrichtigen Sie mich, wenn ein neuer Platz verfügbar ist |
$ / SF | SF | Monthly Rent |
---|---|---|
Please notify me when a new space is available |
$ / SF | SF | Monthly Rent |
---|---|---|
Please notify me when a new space is available |
$ / SF | SF | Monthly Rent |
---|---|---|
Please notify me when a new space is available |
Bulding Address: | 333 Park Avenue South |
Building Alternate address: | 333 Park Ave South |
Postleitzahl : | 10010 |
Neighborhood: | Gramercy Park |
Borough: | Manhattan |
Stories: | 5 |
Year Built: | 1900 |
Building Class: | C |
Block & lot: | 00880-0092 |
333 Park Avenue South, located in the Flatiron District of Manhattan, is a historic building with a rich past. Originally constructed around 1861 as a brick-faced, Italianate-style structure, it was initially used for storage and light manufacturing[2].
From 1881 to 1905, the building housed Tiffany Glassworks' offices and factory, where Louis Comfort Tiffany designed his signature Favrile glass[1][2]. Over the years, it has been home to numerous artists, musicians, and designers, including Faye Dunaway and photographer Jerry Schatzberg[1].
The building was converted into co-op apartments in 1981, according to some sources, though another conversion date is listed as 1985[3]. Today, it stands as a testament to New York City's architectural and artistic heritage, offering a blend of historical charm and modern living[1][3].
Its proximity to Gramercy Park, NoMad, Union Square, Chelsea, and Greenwich Village makes it a desirable location for those seeking a vibrant urban lifestyle[1].
To convert the address "333 Park Avenue South, Manhattan, NYC" into HTML and save it in a Django model field, you can simply wrap the address in HTML tags. Here's how you might do it:333 Park Avenue South, Manhattan, NYC
However, if you want to create a custom field in Django to handle this conversion automatically, you would need to create a custom model field that converts the address to HTML when saved or retrieved. Here's a basic example of how you might implement such a field: python from django.db import models class AddressField(models.Field): description = "An address field that converts to HTML" def __init__(self, *args, **kwargs): kwargs["max_length"] = 200 # Assuming addresses won't exceed 200 characters super().__init__(*args, **kwargs) def from_db_value(self, value, expression, connection): # Convert from database value to Python object return f"{value}
" def to_python(self, value): # Convert from string to Python object if isinstance(value, str): return f"{value}
" return value def get_prep_value(self, value): # Convert Python object to database value if isinstance(value, str) and value.startswith("") and value.endswith("
"): return value[3:-4] # Removeand
return value def deconstruct(self): name, path, args, kwargs = super().deconstruct() del kwargs["max_length"] return name, path, args, kwargs Then, you can use this field in your model like so: python class Location(models.Model): address = AddressField() However, for most use cases, simply storing the address as a string in a `CharField` or `TextField` and converting it to HTML in your template or view would be more straightforward and efficient. For example, in a template: {% load markdown_extras %} {% for location in object_list %}{{ location.address | safe }}
{location.address}
" for location in locations] } return render(request, 'location.html', context) And then in your template: {% for address_html in addresses_html %}This historic building is located in the Flatiron District of Manhattan, New York City. It is known for its unique architectural features and its proximity to vibrant areas like Gramercy Park.
Currently, there is 4,000 SF of office space available on the 2nd floor. This space features exposed brick, hardwood floors, and distinctive windows, along with modern amenities like a glass conference room and a modern pantry.
Unfortunately, a complete list of current office and retail tenants by type of business is not available in the provided information. However, the building is known for its historic charm and is likely to attract a variety of businesses.
The building is situated in a bustling area with nearby attractions like Madison Square Park and a variety of restaurants and shops.
Internet Providers at 333 Park Avenue South, Manhattan, NYC:
Availability may vary depending on the specific location within the building.
333 Park Avenue South, located in the heart of Manhattan's Flatiron District, offers convenient access to various transportation options. It is situated near several subway lines, including the 6 train at 23rd Street, which is just a short walk away.
Nearest Subway Stations:
Airports:
Cross Streets:
Neighborhood Amenities:
Internet Provider | Technology | Max Download Speed | Max Upload Speed |
---|---|---|---|
Verizon New York | Fiber | 1 Gb/s | 25 Mb/s |
Lightower | Fiber | 10 Gb/s | 10 Gb/s |
Level 3 Communications | Fiber | 10 Gb/s | 10 Gb/s |
Year | $ / SF |
---|---|
2018 | 59.38 |
2022 | 45.0 |
Year | $ / SF |
---|---|
2019 | 54.0 |