. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1840 105.7 High-level Overview of the Native-Code Generation Process . . . . . . . . . . . . . . 1841 105.8 Julia Functions . . . . . . . . Arithmetic, which can handle operations on numeric values that cannot be represented effectively in native hardware representations, but at the cost of relatively slower performance. The following are Julia's Julia also defines the types Int and UInt, which are aliases for the system's signed and unsigned native integer types respectively: # 32-bit system: julia> Int Int32CHAPTER 5. INTEGERS AND FLOATING-POINT

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1840 105.7 High-level Overview of the Native-Code Generation Process . . . . . . . . . . . . . . 1841 105.8 Julia Functions . . . . . . . . Arithmetic, which can handle operations on numeric values that cannot be represented effectively in native hardware representations, but at the cost of relatively slower performance. The following are Julia's Julia also defines the types Int and UInt, which are aliases for the system's signed and unsigned native integer types respectively: # 32-bit system: julia> Int Int32CHAPTER 5. INTEGERS AND FLOATING-POINT

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1840 105.7 High-level Overview of the Native-Code Generation Process . . . . . . . . . . . . . . 1841 105.8 Julia Functions . . . . . . . . Arithmetic, which can handle operations on numeric values that cannot be represented effectively in native hardware representations, but at the cost of relatively slower performance. The following are Julia's Julia also defines the types Int and UInt, which are aliases for the system's signed and unsigned native integer types respectively: # 32-bit system: julia> Int Int32CHAPTER 5. INTEGERS AND FLOATING-POINT

http_client.fetch(url) return response.body And here is the same function rewritten asynchronously as a native coroutine: from tornado.httpclient import AsyncHTTPClient async def asynchronous_fetch(url): http_client 15Tornado Documentation, Release 6.5.1 Native vs decorated coroutines Python 3.5 introduced the async and await keywords (functions using these keywords are also called “native corou- tines”). For compatibility you can use “decorated” or “yield-based” coroutines using the tornado.gen.coroutine decorator. Native coroutines are the recommended form whenever possible. Only use decorated coroutines when compatibility

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1893 106.7 High-level Overview of the Native-Code Generation Process . . . . . . . . . . . . . . 1894 106.8 Julia Functions . . . . . . . . Arithmetic, which can handle operations on numeric values that cannot be represented effectively in native hardware representations, but at the cost of relatively slower performance. The following are Julia's Julia also defines the types Int and UInt, which are aliases for the system's signed and unsigned native integer types respectively: # 32-bit system: julia> Int Int32CHAPTER 5. INTEGERS AND FLOATING-POINT

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1891 106.7 High-level Overview of the Native-Code Generation Process . . . . . . . . . . . . . . 1892 106.8 Julia Functions . . . . . . . . Arithmetic, which can handle operations on numeric values that cannot be represented effectively in native hardware representations, but at the cost of relatively slower performance. The following are Julia's Julia also defines the types Int and UInt, which are aliases for the system's signed and unsigned native integer types respectively: # 32-bit system: julia> Int Int32CHAPTER 5. INTEGERS AND FLOATING-POINT

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1890 106.7 High-level Overview of the Native-Code Generation Process . . . . . . . . . . . . . . 1891 106.8 Julia Functions . . . . . . . . Arithmetic, which can handle operations on numeric values that cannot be represented effectively in native hardware representations, but at the cost of relatively slower performance. The following are Julia's Julia also defines the types Int and UInt, which are aliases for the system's signed and unsigned native integer types respectively: # 32-bit system: julia> Int Int32CHAPTER 5. INTEGERS AND FLOATING-POINT

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1890 106.7 High-level Overview of the Native-Code Generation Process . . . . . . . . . . . . . . 1891 106.8 Julia Functions . . . . . . . . Arithmetic, which can handle operations on numeric values that cannot be represented effectively in native hardware representations, but at the cost of relatively slower performance. The following are Julia's Julia also defines the types Int and UInt, which are aliases for the system's signed and unsigned native integer types respectively: # 32-bit system: julia> Int Int32CHAPTER 5. INTEGERS AND FLOATING-POINT

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1881 105.7 High-level Overview of the Native-Code Generation Process . . . . . . . . . . . . . . 1882 105.8 Julia Functions . . . . . . . . Arithmetic, which can handle operations on numeric values that cannot be represented effectively in native hardware representations, but at the cost of relatively slower performance. The following are Julia's Julia also defines the types Int and UInt, which are aliases for the system's signed and unsigned native integer types respectively: # 32-bit system: julia> Int Int32CHAPTER 5. INTEGERS AND FLOATING-POINT

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1559 101.7 High-level Overview of the Native-Code Generation Process . . . . . . . . . . . . . . 1560 101.8 Julia Functions . . . . . . . . Arithmetic, which can handle operations on numeric values that cannot be represented effectively in native hardware representations, but at the cost of relatively slower performance. The following are Julia's Julia also defines the types Int and UInt, which are aliases for the system's signed and unsigned native integer types respectively: # 32-bit system: julia> Int Int32 julia> UInt UInt32 # 64-bit