The correct usage of float, 90% of people use it wrong
For web front-end developers, you must be familiar with float. You can't live without it, but you often endure the pain it brings you. Maybe you think it has a little bit of knowledge, but can you really control it? It is so familiar, but it often becomes unrecognizable to you and seems so strange that you think it is heart-breaking and outrageous.
Today, the young uncle will take you to get to know this familiar and strange friend again.
The original design intention of float is to achieve a mixed arrangement of pictures and text, so that the text can surround the picture. Today's usage is basically to achieve horizontal layout. Although it is a "misuse", it can often achieve the effect we want. Most people know how to use float, but not everyone knows the principle and original design intention of float.
Let’s take a look at some characteristics of float:
1. Destructiveness
The destructiveness of float means: elements set to float will break away from the document flow and will It causes the "collapse" of its parent element. Yes, this is its destructiveness. Why does the collapse of the parent element occur? The reason is simple, because the original intention of float is to achieve text wrapping effect. If the parent element does not collapse, how to achieve the wrapping effect? Next, I will use pictures and codes to explain to you the specific appearance of this destructiveness, which makes it more intuitive and easier to understand.
This is the effect without float
##This is Added float p
## This should be very intuitive.
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Maximum value of float: 1. In C language, the maximum value of float is 3.40282347e+38. According to the IEEE 754 standard, the maximum exponent of the float type is 127, and the number of digits of the mantissa is 23. In this way, the maximum floating point number is 3.40282347 e+38; 2. In the Java language, the maximum float value is 3.4028235E+38; 3. In the Python language, the maximum float value is 1.7976931348623157e+308.

The precision of float can reach 6 to 9 decimal places. According to the IEEE754 standard, the number of significant digits that the float type can represent is approximately 6 to 9 digits. It should be noted that this is only the theoretical maximum precision. In actual use, due to the rounding error of floating point numbers, the precision of the float type is often lower. When performing floating-point number operations in a computer, precision loss may occur due to the precision limitations of floating-point numbers. In order to improve the precision of floating point numbers, you can use higher precision data types, such as double or long double.

The float32 byte includes the sign bit, exponent bit and mantissa bit, and is used to represent 32-bit floating point numbers. Detailed introduction: 1. Sign bit (1 bit), used to represent the sign of a number, 0 represents a positive number, 1 represents a negative number; 2. Exponent bit (8 bits), used to represent the exponent part of a floating point number, through the exponent bit , you can adjust the size range of the floating-point number; 3. The mantissa bit (23 bits) is used to represent the mantissa part of the floating-point number, and the mantissa bit stores the decimal part of the floating-point number. The sign bit determines the sign of a floating point number, and the exponent bit and the mantissa bit jointly determine the size and precision of the floating point number.

Float in C language is a data type used to represent single-precision floating point numbers. Floating point numbers are real numbers represented in scientific notation and can represent very large or very small values. Variables of the float type can store values with 6 significant digits after the decimal point. In C language, the float type can be used to operate and store floating point numbers. Its variables can be used to represent decimals, fractions, scientific notation, etc. that need to be accurately represented. Real numbers, unlike integer types, floating point numbers can represent numbers after the decimal point, and can perform four arithmetic operations on decimals.

Common database float lengths are: 1. The float type length in MySQL can be 4 bytes or 8 bytes; 2. The float type length in Oracle can be 4 bytes or 8 bytes; 3. , The length of the float type in SQL Server is fixed at 8 bytes; 4. The length of the float type in PostgreSQL can be 4 bytes or 8 bytes, etc.

Float layout can cause problems such as clearing floats, element overlapping problems, text wrapping problems, and responsive layout problems. Detailed introduction: 1. Clear the floating problem. When using float layout, the floating elements will break away from the document flow, which may cause the parent container to be unable to wrap the floating elements correctly. In this case, the height of the parent container will collapse, causing layout chaos; 2. Element overlapping problem. When multiple elements use float layout, they may overlap. This is because the floating elements no longer occupy the normal document flow position and so on.

The float attribute values include left, right, none, inherit, clearinline-start and inline-end. Detailed introduction: 1. left, the element floats to the left, that is, the element will be as close to the left side of the container as possible, and other elements will surround it on the right side; 2. right, the element floats to the right, that is, the element will be as close to the container as possible On the right, other elements will surround it on the left; 3. The default value of none, the elements will not float, and will be arranged according to the normal document flow, etc.

The main differences between float and double lie in precision, storage and calculation speed, range, and use in programming languages. Detailed introduction: 1. The precision is different. Float is a single-precision floating point number, occupying 4 bytes (32 bits), while double is a double-precision floating point number, occupying 8 bytes (64 bits); 2. The storage and calculation speed are different. , double takes up more space and requires more storage space to store values. In applications that require high performance and speed, it may be more efficient to use the float type; 3. Different ranges, etc.
