SQLite is a embedded database that is different from a general server-client structure database. SQLite is integrated into the application. If the data is relatively fixed and the amount is small, then SQLite can be said to be more appropriate.
If you search about “How to do a simple Python side project“, you will find the online tutorial is teaching “how to make a music player by yourself“. In any case, being able to customize a music player by yourself is quite interesting to think about.
Recently, I always develop mobile App by Flutter. In the process of my development, I found that gradient rendering components can make the interface look better.
So I start to think, how do I do it in desktop application development by PyQt5?
When we developing a project, SVG (Scalable Vector Graphics) is a good picture format, but sometimes we also need PNG format to build our interface layout.
Sometimes when we downloading a file via crawler, maybe network fluctuations or other work interrupt us …… but we don’t have to download the file again.
If we can resume our downloading in breakpoint, we can resume the download progress, continue to finished it.
Everyone is familiar with the compressed file. These compressed file means that we compress one or more files and folders into a file, which is also call archiving.
In addition to archiving, according to the different compression format algorithms, some can even compress the file size to help us better store and transmit these files.
But what if we need to restore the compressed file back to the original file? At this time, we need to decompress according to different compression formats.
Today I want to record how to use Python module zipfile to compress or decompress some fiile as ZIP format.
Those who are familiar with natural language processing (NLP) must be familiar with Glove and Python package Gensim.
Glove(Global Vectors for Word Representation)is a paper published by Stanford NLP Group, and it is also an open source pre-trained word embedding model. The Glove that you often see on the Internet now refers to this open source pre-trained model.
Gensim is a Python implementation of the Word2Vec paper proposed by Google in 2013, allowing us to easily train the word vector model using our own corpus via this package.