Float32 julia> 2.5f-4 0.00025f0 Values can be converted to Float32 easily: julia> x = Float32(-1.5) -1.5f0 julia> typeof(x) Float32 Hexadecimal floating-point literals are also valid, but only as Float64 cleaner:CHAPTER 4. INTEGERS AND FLOATING-POINT NUMBERS 24 julia> x = 3 3 julia> 2x^2 - 3x + 1 10 julia> 1.5x^2 - .5x + 1 13.0 It also makes writing exponential functions more elegant: julia> 2^2x 64 The with the equivalent E form. • The 32-bit floating-point literal expression 1.5f22 could be interpreted as the numeric literal 1.5 multiplied by the variable f22. In all cases the ambiguity is resolved

Float32 julia> 2.5f-4 0.00025f0 Values can be converted to Float32 easily: julia> x = Float32(-1.5) -1.5f0 julia> typeof(x) Float32 Hexadecimal floating-point literals are also valid, but only as Float64 julia> x = 3 3 julia> 2x^2 - 3x + 1CHAPTER 4. INTEGERS AND FLOATING-POINT NUMBERS 24 10 julia> 1.5x^2 - .5x + 1 13.0 It also makes writing exponential functions more elegant: julia> 2^2x 64 The with the equivalent E form. • The 32-bit floating-point literal expression 1.5f22 could be interpreted as the numeric literal 1.5 multiplied by the variable f22. In all cases the ambiguity is resolved

AND FLOATING-POINT NUMBERS 21 Values can be converted to Float32 easily: julia> x = Float32(-1.5) -1.5f0 julia> typeof(x) Float32 Hexadecimal floating-point literals are also valid, but only as Float64 makes writing polynomial expressions much cleaner: julia> x = 3 3 julia> 2x^2 - 3x + 1 10 julia> 1.5x^2 - .5x + 1 13.0 It also makes writing exponential functions more elegant: julia> 2^2x 64 The with the equivalent E form. • The 32-bit floating-point literal expression 1.5f22 could be interpreted as the numeric literal 1.5 multiplied by the variable f22. In all cases the ambiguity is resolved

AND FLOATING-POINT NUMBERS 21 Values can be converted to Float32 easily: julia> x = Float32(-1.5) -1.5f0 julia> typeof(x) Float32 Hexadecimal floating-point literals are also valid, but only as Float64 makes writing polynomial expressions much cleaner: julia> x = 3 3 julia> 2x^2 - 3x + 1 10 julia> 1.5x^2 - .5x + 1 13.0 It also makes writing exponential functions more elegant: julia> 2^2x 64 The with the equivalent E form. • The 32-bit floating-point literal expression 1.5f22 could be interpreted as the numeric literal 1.5 multiplied by the variable f22.CHAPTER 5. INTEGERS AND FLOATING-POINT NUMBERS

AND FLOATING-POINT NUMBERS 21 Values can be converted to Float32 easily: julia> x = Float32(-1.5) -1.5f0 julia> typeof(x) Float32 Hexadecimal floating-point literals are also valid, but only as Float64 makes writing polynomial expressions much cleaner: julia> x = 3 3 julia> 2x^2 - 3x + 1 10 julia> 1.5x^2 - .5x + 1 13.0 It also makes writing exponential functions more elegant: julia> 2^2x 64 The with the equivalent E form. • The 32-bit floating-point literal expression 1.5f22 could be interpreted as the numeric literal 1.5 multiplied by the variable f22.CHAPTER 5. INTEGERS AND FLOATING-POINT NUMBERS

AND FLOATING-POINT NUMBERS 21 Values can be converted to Float32 easily: julia> x = Float32(-1.5) -1.5f0 julia> typeof(x) Float32 Hexadecimal floating-point literals are also valid, but only as Float64 makes writing polynomial expressions much cleaner: julia> x = 3 3 julia> 2x^2 - 3x + 1 10 julia> 1.5x^2 - .5x + 1 13.0 It also makes writing exponential functions more elegant: julia> 2^2x 64 The with the equivalent E form. • The 32-bit floating-point literal expression 1.5f22 could be interpreted as the numeric literal 1.5 multiplied by the variable f22.CHAPTER 5. INTEGERS AND FLOATING-POINT NUMBERS

AND FLOATING-POINT NUMBERS 21 Values can be converted to Float32 easily: julia> x = Float32(-1.5) -1.5f0 julia> typeof(x) Float32 Hexadecimal floating-point literals are also valid, but only as Float64 makes writing polynomial expressions much cleaner: julia> x = 3 3 julia> 2x^2 - 3x + 1 10 julia> 1.5x^2 - .5x + 1 13.0 It also makes writing exponential functions more elegant: julia> 2^2x 64 The with the equivalent E form. • The 32-bit floating-point literal expression 1.5f22 could be interpreted as the numeric literal 1.5 multiplied by the variable f22.CHAPTER 5. INTEGERS AND FLOATING-POINT NUMBERS

AND FLOATING-POINT NUMBERS 21 Values can be converted to Float32 easily: julia> x = Float32(-1.5) -1.5f0 julia> typeof(x) Float32 Hexadecimal floating-point literals are also valid, but only as Float64 makes writing polynomial expressions much cleaner: julia> x = 3 3 julia> 2x^2 - 3x + 1 10 julia> 1.5x^2 - .5x + 1 13.0 It also makes writing exponential functions more elegant: julia> 2^2x 64 The with the equivalent E form. • The 32-bit floating-point literal expression 1.5f22 could be interpreted as the numeric literal 1.5 multiplied by the variable f22.CHAPTER 5. INTEGERS AND FLOATING-POINT NUMBERS

AND FLOATING-POINT NUMBERS 21 Values can be converted to Float32 easily: julia> x = Float32(-1.5) -1.5f0 julia> typeof(x) Float32 Hexadecimal floating-point literals are also valid, but only as Float64 makes writing polynomial expressions much cleaner: julia> x = 3 3 julia> 2x^2 - 3x + 1 10 julia> 1.5x^2 - .5x + 1 13.0 It also makes writing exponential functions more elegant: julia> 2^2x 64 The with the equivalent E form. • The 32-bit floating-point literal expression 1.5f22 could be interpreted as the numeric literal 1.5 multiplied by the variable f22.CHAPTER 5. INTEGERS AND FLOATING-POINT NUMBERS

AND FLOATING-POINT NUMBERS 21 Values can be converted to Float32 easily: julia> x = Float32(-1.5) -1.5f0 julia> typeof(x) Float32 Hexadecimal floating-point literals are also valid, but only as Float64 makes writing polynomial expressions much cleaner: julia> x = 3 3 julia> 2x^2 - 3x + 1 10 julia> 1.5x^2 - .5x + 1 13.0 It also makes writing exponential functions more elegant: julia> 2^2x 64 The with the equivalent E form. • The 32-bit floating-point literal expression 1.5f22 could be interpreted as the numeric literal 1.5 multiplied by the variable f22.CHAPTER 5. INTEGERS AND FLOATING-POINT NUMBERS