Cocalc Part 1 Running Code Ipynb

The text and code are released under the CC0 license; see also the companion project, the Python Data Science Handbook. < 1. Introduction | Contents | A Quick Tour of Python Language Syntax > Python is a flexible language, and there are several ways to use it depending on your particular task. One thing that distinguishes Python from other programming languages is that it is interpreted rather than compiled. This means that it is executed line by line, which allows programming to be interactive in a way that is not directly possible with compiled languages like Fortran, C, or Java.

This section will describe four primary ways you can run Python code: the Python interpreter, the IPython interpreter, via Self-contained Scripts, or in the Jupyter notebook. The most basic way to execute Python code is line by line within the Python interpreter. The Python interpreter can be started by installing the Python language (see the previous section) and typing python at the command prompt (look for the Terminal on Mac OS X and Unix/Linux systems, or... With the interpreter running, you can begin to type and execute code snippets. Here we'll use the interpreter as a simple calculator, performing calculations and assigning values to variables: Welcome to the first optional lab!

Optional labs are available to: provide information - like this notebook reinforce lecture material with hands-on examples provide working examples of routines used in the graded labs Get a brief introduction to Jupyter notebooks Before you start, you need to create a Cocalc account and add your partner as a collaborator [TODO: Link to instructions]

Navigate to www.cocalc.com and sign in using your university email address. Click on project NSCI0007_20_21 in the project list to load your project. Your project is essentially a virtual computer hosted in the cloud, and it comes preinstalled with all the software and tools you need to get Python programming straight away! Click on the Handouts folder then the 01_Introduction folder. DEFINITIONS: Cocalc - the online platform we will be using, providing access to virtual computers hosted in the cloud. Project - Every student has a Cocalc account allowing access to a project, which is a virtual computer including operating system (Linux) and software libraries.

Jupyter Notebook - a type of file which contains Python code and formatted text, allowing us to combine computations, results and descriptive text in a single file. It is also sometimes called an IPython Notebook, and has the extension .ipynb. Python - the programming language allowing us to perform scientific computing. It is a common problem that people want to import code from IPython Notebooks. This is made difficult by the fact that Notebooks are not plain Python files, and thus cannot be imported by the regular Python machinery. Fortunately, Python provides some fairly sophisticated hooks into the import machinery, so we can actually make IPython notebooks importable without much difficulty, and only using public APIs.

Import hooks typically take the form of two objects: a Module Loader, which takes a module name (e.g. 'IPython.display'), and returns a Module a Module Finder, which figures out whether a module might exist, and tells Python what Loader to use By the end of this lecture you will be able to: Define variables and differentiate between global and local variables.

Identify and use different object types in python. Use some of the python's default functions and define your own functions. Introduction to numpy and matplotlib libraries This 📔 notebook takes you through the 👨‍🎓 learning the basic fundamentals of Python. Its an 👩‍💻 interactive self-paced tutorial within notebook. This course will have you learning variables, data types, loops in no time.

😋 Be sure to click the table of contents under Menu -> View -> TOC to easily navigate the notebook. [Microsoft Learn - Python learning modules] (https://docs.microsoft.com/learn/browse/?terms=python) [Python.org - The Python Standard Library] (https://docs.python.org/3/library/index.html) [Jupyter Notebooks Crash Course] (https://tacc.github.io/CSC2017Institute/docs/day1/jupyter.html) We will be using an online platform called Cocalc to run and edit notebooks which run Python code.

Cocalc is a collaborative computing platform, which means that you can interactively share your code with other users of the platform. After completing this worksheet, you will be able to: ALL students must do Part 1 Step 1 to set up a new Cocalc project for NSCI0007. The remainder was included in last year’s module NSCI0010 so you only need to do this if you didn’t do that course or if you want to refresh your understanding. Follow the the instruction below to create a Cocalc account and run a notebook file. Python code is usually stored in text files with the file ending ".py":

Every line in a Python program file is assumed to be a Python statement, or part thereof. The only exception is comment lines, which start with the character # (optionally preceded by an arbitrary number of white-space characters, i.e., tabs or spaces). Comment lines are usually ignored by the Python interpreter. To run our Python program from the command line we use: On UNIX systems it is common to define the path to the interpreter on the first line of the program (note that this is a comment line as far as the Python interpreter is...

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