Good artists borrow. Great artists steal.
-Pablo Picasso
In addition to the packages you've already seen, Anaconda (the Python distribution you're using right now) comes with a collection of other packages that will keep you from reinventing the wheel. Here is a list of some of the more useful packages and[standard library modules that you can use. Odds are that if you want to do something, the standard library does it already.
A lot of these already have "How To" entries on the Python Users Group forums.
Beautiful Soup is a high-level package for web/screen scraping.
Bokeh is a server for interactive graphs. Warning: if you're actually running this as a server to share with others, jump through the appropriate hoops.
Microsoft Windows has certain types of objects called COM types that you can use to hook into other programs and the operating system.
Cython enables you to compile your Python in C for speed.
Flask is a dirt-simple web framework for creating websites.
Contains various natural lanugage processing tools
Is used for manipulating Excel files.
Presuming you've downloaded the appropriate 64 bit ODBC driver from the HP Service Center, you can make execute SQL on a server directly from Jupyter.
Is a framework that makes QT and Python GUIs easy. Warning: This is GPLv3 software.
This provides various hooks into the windows operating system.
Easiest way to fetch webpages or files from the internet.
This provides pretty graphs with little effort.
Object-relational mapping package for making SQL queries through an API.
A purpose-built statistics package.
import asyncio as lowercase is the convention for modules. Some of the above may or may not be styled in this manner.Support for asynchronous servers, IO processes
Has support for some less used types such as double ended queues and default dictionaries.
If you want to make a copy of an instance (and not a reference), use copy.deepcopy().
Python's datetime and calendar libraries are top notch for computing dates, weekedays, time deltas, etc.
Support for true decimal (as opposed to float) operations for financial calculations.
Send email from your Python scripts.
This gives you tools for working with iterators (such as itertools.chain).
Support for reading a dumping json strings.
Functions are first class objects in Python. This gives you tools for altering functions.
In addition to Python's built in IO facilities, this gives you elements for efficiently building text/byte strings.
Various tools for interacting with your operating system (such as walking directories with os.walk).
Serialize in memory objects to disk.
Support for regular expressions.
A built in single-user database written in C for storing information in a relational database.
Call other programs on your computer via the command line.
Module for tweaking and inspecting your Python interpreter.
Tools for parallelizing programs.
A library for reading XML trees.
A utility for zipping and unzipping files.