Learning Outcomes

Explain what Python is.

Recognise when using a notebook is useful.

Use a notebook either by clicking or by using keyboard shortcuts.

Generate different formated text and code blocks.

Understand why you would write software to manage your data and plots.

Identify the elements of a program.

Illustrate the concept of a variable with labels and boxes.

Recognise and test the different variable types.

Predict the behaviour of variables through different cells.

Recognise methods and functions.

Differentiate methods and functions.

Use help and ? to read the documentation of functions.

Identify types.

Predict the output of type(x).

Use appropriate methods over each type.

Match properties of strings with lists.

Compare lists of lists with matrices.

Define a container.

Interpret the result of in and understand its usage.

Use tuples and lists.

Identify a dictionary and a set.

Recognise the differences between a dictionary and a set.

Carry out common operations using dictionaries and sets.

Implement a data structure.

Distinguish different approaches to create data structures.

Judge which approach is more readable, efficient or easier to use for a particular problem.

Understand why decision making is important in programs.

Exemplify the different levels of decision making on a program.

Explain the purpose and importance of indentation.

Execute comparisons between variables.

Understand why loops are useful.

Understand the role of indentation in loops.

Implement a combination of loops and control flow to extract data from a data structure.

Understand what a comprehensions is and the conditions for use.

Translate a loop into a comprehension.

Executed nested comprehensions.

Integrate comprehensions with a data structure.

Create a user defined type, a class

Know the difference between an object and a class

Define methods for classes

Implement a reader with and without a context manager.

Be familiar with the os module and generate readers that can work on different computers.

Recall the modules needed.

Understand the different properties for different file formats.

Generate simple plots

Recognise what are figures and axes.

View multiple plots at once.

Recognise the differences between numpy’s arrays and other data structures in Python.

Know what operations are available in NumPy.

Judge when and where np.newaxis is needed for operating matrices.

Distinguish betweencopy and [:] views of an array.