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, wether you write it as 0x99 (hex), C unsigned byte 153 (decimal) or java signed byte -103 (decimal), it will still send the bits 10011001.

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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 >> 1. could you explain this to me, the Origional code is alot cleaner granted. i am trying to figure out how they came to this cleaner method and what is happening in this Hex bitwise operation.

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, since the apostrophe before an s would often be translated to a right curly quotation mark in popular word processing software. If only the last byte of the character was saved, you'd ...

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 (e.g., blogger, country, joined data, the number followers, posting, etc.).

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 = 0x80, c = 0x40 or vice versa).So looping over this array counts up from 1 …

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 bytes your browser is actually receiving in order to produce ’ when processed as UTF-8. That means that your source data is going through two charset conversions before being sent to the ...

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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 encoding of the PostgreSQL server.

Simplest of all Solutions: import pandas as pd df = pd.read_csv('file_name.csv', engine='python') Alternate Solution: