I don't know what i'm doing for the coding portion.

1. Write a Python program that accepts rsp1254.txt as input and calculates an estimated isoelectric point (pI) for the amino acid sequence represented in this FASTA formatted file 2. Write a Python program that accepts rsp1254.txt as input, performs a tryptic digest (protein digested with the enzyme trypsin) on the amino acid sequence represented in this FASTA formatted file and writes the both the amino acid sequences for the peptide fragments generated and molecular weight for each peptide fragment to a text file (hint: use import re). 3. Generate a new program that includes the above code, but accepts a multi-fasta file as user-input and returns the predicted molecular weight and pI for the sequence associated with a user inputted FASTA header. Use the rsp_prot.txt file as input...and choose one appropriate FASTA header as input. 4. Modify the program in #3 to accept ORFs.txt file as user-input and calculates the codon usage stats for a DNA sequence associated with a user inputted FASTA header and prints it out to a file. 5. Write a Python program that accepts a multi-FASTA file as input performs a tryptic digest on each amino acid sequence, then reports the total number of peptides generated that are >1500 Da.