2D NumPy Arrays:

1. type(np_name)
2. 2D NumPy Array
3. np_name.shape( )
4. Subsetting using index positions

Introduction to NumPy:

1. np.array( )
2. Indexing
3. Conditions
4. np.zeros( ) , np.ones( )
5. np.arange( )
6. np.linspace( )
7. Python Lists vs NumPy Arrays

Cheatsheets

VSCode

The below are some more practice problems for handling text files, using what I learnt in my previous post:

1. open(‘filename.txt’,’r/r+/a/w/w+/x’)
2. File attributes:
   • .readline(): Read only one line of the file
   • .readlines(): Read multiple lines of the file as a list of strings
   • .write(): Open an existing file and write to it
   • .read(): loads the content of the file into memory as a string, including formatting such as new line (\n)
   • .read(n): reading a file where n = number of characters to read
   • seek(index): go back to indicated line
3. .close(): open file takes memory so we can use the .close() method to free resources.

Loops:

1. while
2. break, continue
3. else (with break, continue)