
byte - How to send 0x99 with java? - Stack Overflow
2014年9月17日 · 0x99 is 99 in hex, which in decimal can be represented as a negative number, but is still 0x99 in hex and have the same binary representation. So, sending it on a socket, …
python - UnicodeDecodeError: 'utf-8' codec can't decode byte …
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What is happening during this operation 0x99<<j & (0x80>>i))
2023年2月4日 · this makes more sense with the range func starting at 0 and ending 3. thanks for this clarification. my next question is, what is happening in a break down for 0x99 >> 1 and 08 …
In what 8-bit character set is 0x9d meaningful? - Stack Overflow
2017年8月18日 · The 'RIGHT SINGLE QUOTATION MARK' (U+2019) ’ is encoded in UTF-8 with bytes 0xE2 0x80 0x99. The places where you have \x99s is what made me go down this path, …
pandas - How to solve UnicodeDecodeError: 'utf-8' codec can't …
2019年4月7日 · Thank you! It reads. But another issue arises. The data is combined in the first column, which has to be divided into 11 columns since each column shows different variable …
Calculating hexadecimal values for 7-segment LED on MDA-8086
2020年8月26日 · My first thought was that 1 is displayed by lighting only 2 segments total, so we can tell that must be 0xc0 (which only has 2 bits set in its binary representation, so segment b …
encoding - "’" showing on page instead of - Stack Overflow
2010年3月19日 · 0xE2 0x80 0x99. ’ (Unicode codepoints U+00E2 U+20AC U+2122) is encoded in UTF-8 as bytes: 0xC3 0xA2 0xE2 0x82 0xAC 0xE2 0x84 0xA2. These are the …
Error when trying decompress byte array ( C#) - Stack Overflow
2017年1月18日 · Stack Overflow for Teams Where developers & technologists share private knowledge with coworkers; Advertising & Talent Reach devs & technologists worldwide about …
invalid byte sequence for encoding "UTF8" - Stack Overflow
I ran into this problem under Windows while working exclusively with psql (no graphical tools). To fix this problem, permanently change the default encoding of psql (client) to match the default …
UnicodeDecodeError when reading CSV file in Pandas
Simplest of all Solutions: import pandas as pd df = pd.read_csv('file_name.csv', engine='python') Alternate Solution: