Answer:
otp
Explanation:
don't know bro ask to your teacher
Answer:
Bill Gates used his skills and brains to build a business. In conclusion, Bill Gates was very successful with his industry thanks to free enterprise. He, along with his employees and friends, created and almost perfected the software known as Microsoft. The free enterprise system provides the right to private enterprise, which allowed him to choose his own business and to run it without governmental influence. Because he could create his own business and design his own products, Gates was able to specialize in technology.
Explanation:
Answer:
It we were asked to develop a new data compression tool, it is recommended to use Huffman coding since it is easy to implement and it is widely used.
Explanation:
The pros and the cons of Huffman coding
Huffman coding is one of the most simple compressing encoding schemes and can be implemented easily and efficiently. It also has the advantage of not being patented like other methods (e.g. arithmetic codingfor example) which however are superior to Huffman coding in terms of resulting code length.
One thing not mentioned so far shall not be kept secret however: to decode our 96 bit of “brief wit” the potential receiver of the bit sequence does need the codes for all letters! In fact he doesn’t even know which letters are encoded at all! Adding this information, which is also called the “Huffman table” might use up more space than the original uncompressed sentence!
However: for longer texts the savings outweigh the added Huffman table length. One can also agree on a Huffman table to use that isn’t optimized for the exact text to be transmitted but is good in general. In the English language for example the letters “e” and “t” occur most often while “q” and “z” make up the least part of an average text and one can agree on one Huffman table to use that on average produces a good (=short) result. Once agreed upon it doesn’t have to be transmitted with every encoded text again.
One last thing to remember is that Huffman coding is not restricted to letters and text: it can be used for just any symbols, numbers or “abstract things” that can be assigned a bit sequence to. As such Huffman coding plays an important role in other compression algorithms like JPG compression for photos and MP3 for audio files.
The pros and the cons of Lempel-Ziv-Welch
The size of files usually increases to a great extent when it includes lots of repetitive data or monochrome images. LZW compression is the best technique for reducing the size of files containing more repetitive data. LZW compression is fast and simple to apply. Since this is a lossless compression technique, none of the contents in the file are lost during or after compression. The decompression algorithm always follows the compression algorithm. LZW algorithm is efficient because it does not need to pass the string table to the decompression code. The table can be recreated as it was during compression, using the input stream as data. This avoids insertion of large string translation table with the compression data.
Answer:
The expression on line 9 required 2 brackets
Explanation:
Given
The attached code
Required
Why syntax error.
The error points to line 10, but the error is actually from line 9
To get an integer input, the syntax is:
variable-name = int(input("Prompt"))
From the attached code, the line 9 is:
amount = int(input("Enter cheese order weight: ")
By comparing the syntax to the actual code on line 9, only 1 of the brackets is closed.
<em>This, in Python 3 is a sytax error</em>
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