Python Basics (2023-05-15 - 2023-05-17)

Original Agenda

• Agenda: Python Basics (2023-05-15 - 2023-05-17)

Notebook

• Structure: Python Grundlagen (Jupyter Notebook)

• Entire notebook: notebook.ipynb

Github Repository

• https://github.com/jfasch/2023-05-15

Material

• Python Programming

Day 1

Setup

• Python Installation

• Visual Studio Code for Python Programming

Basics

Datatypes

• Blahblah

• Hello World

• Running Python Programs

• Syntax etc.

• Commandline Arguments (sys.argv)

• Variables

• Datatypes

• Compound Datatypes

• Boolean

• Exercise: Mixed List (Interactive Interpreter)

• Exercise: Mixed List (Executable Program)

• Exercise: Digit to English Word (solution: digit.py)

Control Flow, Sequences, Iteration

• The if Statement

• Exercise: Determine Maximum of Two Numbers (solution: maximum.py)

• while Loops

• Exercise: Primeness (while) (solution: prime-while.py)

• for Loops

• The range Function

• Exercise: Primeness (for) (solution: prime-for.py)

More Datatypes

• Sequential Datatypes

• Indexing and Slicing

• References, (Im)mutability

• Functions

Day 2

Morning Awakening

Generators

• Iteration, Generators, And yield

• Generating infinitely many Fibonacci numbers: fibonacci.py

• Generating a sine wave: sine.py

• Watching a directory for new files (by iterating): watch-dir.py

A Bit Of venv, A Bit Of pip

From Python: Project/Package Management

• Virtual Environments

• Python Package Index

Basics

More Datatypes

• Exercise: Primeness (Function) (solution: prime-function.py)

• More About Strings

• Miscellaneous String Methods

• More About Lists

• More About Dictionaries

• More About Sets

• Exercise: Function: uniq()

• Exercise: Generator: uniq()

• Comprehensions (List, Dictionary, Set)

• Encoding

• File I/O

Exercise Series: CSV Files

• CSV Files

• Exercise: Read CSV File (csv.reader) (solution: read-userdb-noheader.py)

• Exercise: Read CSV File (csv.dictreader) (solution: read-userdb-header.py)

• Exercise: Refactoring - Extract CSV Reading Into Function (csv.reader) (solution: read-userdb-noheader-func.py)

• Exercise: Refactoring - Extract CSV Reading Into Function (csv.dictreader) (solution: read-userdb-header-func.py)

• Exercise: Refactoring - Extract Both CSV Formats Into Module (solution: userdb_csv.py (module), read-userdb-noheader-mod.py, read-userdb-header-mod.py)

Day 3

Object Oriented Programming

From Object Oriented Programming

• Classes And Dictionaries

• Constructor

• collections.namedtuple

• Methods

• str() And repr()

• Properties

(livehacked in oo.py)

Interleaved by a pytest installation into a virtual environment:

• Virtual Environments

• Python Package Index

• pytest Introduction, By Example

Followed by an exercise …

• Exercise: Away From Raw Dictionaries

OO, cont’d …

• Inheritance

• Exception Handling

(see also oo.py)

Advanced Language Features

• Context Managers: The with Statement (livehacked - though the topic is a better read - in context-manager.py)

Links

Beginner

• Python Tutorial for Beginners 4: Lists, Tuples, and Sets, by Corey Schafer

• Python Tutorial for Beginners 5: Dictionaries - Working with Key-Value Pairs, by Corey Schafer

• 10 Python Tips and Tricks For Writing Better Code, by Corey Schafer

• Python Tutorial: Using Try/Except Blocks for Error Handling, by Corey Schafer

Modules from Standard Library

• Python Tutorial: OS Module - Use Underlying Operating System Functionality, by Corey Schafer

• Python Tutorial: Calling External Commands Using the Subprocess Module, by Corey Schafer

• Python Tutorial: re Module - How to Write and Match Regular Expressions (Regex), by Corey Schafer

• Python Tutorial: CSV Module - How to Read, Parse, and Write CSV Files, by Corey Schafer

Advanced

• Transforming Code into Beautiful, Idiomatic Python, by Raymond Hettinger

• Python Tutorial: Duck Typing and Asking Forgiveness, Not Permission (EAFP), by Corey Schafer

NumPy and Data Science Tutorials

• Complete Python NumPy Tutorial (Creating Arrays, Indexing, Math, Statistics, Reshaping), by Keith Galli

• Solving real world data science tasks with Python Pandas!, by Keith Galli

• Intro to Data Visualization in Python with Matplotlib! (line graph, bar chart, title, labels, size), by Keith Galli

Conference Talks

• Built in Super Heroes. David Beazley in an entertaining keynote to the “PyData Chicago 2016” conference. He has a number of very good and entertaining (and very advanced) videos. You have to spend an entire evening with him though.

• Keynote - David Beazley. David Beazley live coding a Web Assembly interpreter. PyCon India 2019.

• David Beazley: Generators: The Final Frontier - PyCon 2014: David Beazley again a bit (a whopping four hours) more precise on that topic.