Python Course README

This is the content of a set of Python courses. For more details see the course outlines. All the links open the Python code in Google Colab, so you can run the code and edit it to experiment with it.

Foundation Course

Bootcamp

Getting started: lesson and exercise

Data types: lesson and exercise

Strings (and methods, and indexing / slicing): lesson and exercise

Data Structures 1

Lists: lesson and exercise

Consolidation Exercise (Attendees)

The attendee exercise is a consolidation exercise that revises strings, lists and dicts. It is based on a real-life problem of extracting first names from a list of email addresses.

Intermediate Course

Control Flow

Control flow: lesson and exercise

Data Structures 2

Tuples: lesson and exercise

Dicts: lesson and exercise

List comprehensions: lesson and exercise

Consolidation Exercise (Data Structures)

Data structures exercise. This revises strings, lists and dicts, and has a final brain teaser exercise.

Writing Functions

Writing functions: lesson and exercise and another exercise

Miscellaneous modules and packages

A very brief look at some common modules and packages:

Practical Examples

Install a package: exercise

OpenAI demo connects to ChatGPT to have a conversation.

Advanced Course

Practical Applications

Read and write Excel files

a simple starter example
a more complete example that reads several tables from an Excel file into pandas DataFrames, merges the the tables, summarises the data, creates a chart then exports the summarised data in both CSV and Excel file formats.

Retrieve Data from an API / web pages the requests package

Police Street Crime Exercise retrieves recent crime incidents in a local area
COVID Cases examples using requests and then the uk_covid19 SDK

Use the requests package in a practical example to retrieve data from an API of the people currently in space exercise

Web Scraping tutorial

Functional programming

Functional programming lesson and exercise

Object-oriented programming

Building classes (object-oriented programming) lesson and exercise

Optional sections

If time allows, a very brief look at:

exceptions,
type annotations,
reading or writing files, managing directories with the os and shutil modules
the re module for regex functionality

Data Analysis With Python Course

The Data Analysis With Python course focusses on data analysis with the numpy, pandas and seaborn packages. The numpy package underpins many data analysis packages (including pandas), and AI packages.

Introduction to data analysis and visualisation

Introduction to data analysis with pandas - tutorial

Introduction to data visualisation with seaborn - tutorial

Retrieving data from SQL - demo

numpy package

numpy is the foundation of data analysis in Python, and is used for working with arrays and matrices of data.

lesson and exercise

pandas

pandas is the library for data analysis in Python.

seaborn

Visualise data with the seaborn package.

Name		Name	Last commit message	Last commit date
Latest commit History 209 Commits
data_analysis		data_analysis
data_viz		data_viz
health		health
resources		resources
whisper_tutorial		whisper_tutorial
.gitattributes		.gitattributes
.gitignore		.gitignore
README.md		README.md
Setup Python.md		Setup Python.md
_to do.txt		_to do.txt
api_astronauts_answer.ipynb		api_astronauts_answer.ipynb
api_astronauts_exercise.ipynb		api_astronauts_exercise.ipynb
api_covid_requests_example.ipynb		api_covid_requests_example.ipynb
api_covid_sdk_example.ipynb		api_covid_sdk_example.ipynb
api_openai_example.ipynb		api_openai_example.ipynb
api_police_answer.ipynb		api_police_answer.ipynb
api_police_exercise.ipynb		api_police_exercise.ipynb
attendee_answer.ipynb		attendee_answer.ipynb
attendee_exercise.ipynb		attendee_exercise.ipynb
basics_answer.ipynb		basics_answer.ipynb
basics_exercise.ipynb		basics_exercise.ipynb
basics_lesson.ipynb		basics_lesson.ipynb
cars.csv		cars.csv
control_flow_answer.ipynb		control_flow_answer.ipynb
control_flow_exercise.ipynb		control_flow_exercise.ipynb
control_flow_lesson.ipynb		control_flow_lesson.ipynb
data_structures_answer.ipynb		data_structures_answer.ipynb
data_structures_exercise.ipynb		data_structures_exercise.ipynb
data_types_answer.ipynb		data_types_answer.ipynb
data_types_exercise.ipynb		data_types_exercise.ipynb
data_types_lesson.ipynb		data_types_lesson.ipynb
data_wrangler_lesson.ipynb		data_wrangler_lesson.ipynb
datetime_lesson.ipynb		datetime_lesson.ipynb
dicts_answer.ipynb		dicts_answer.ipynb
dicts_exercise.ipynb		dicts_exercise.ipynb
dicts_lesson.ipynb		dicts_lesson.ipynb
excel_automation_starter_data.xlsx		excel_automation_starter_data.xlsx
excel_automation_starter_example.ipynb		excel_automation_starter_example.ipynb
exceptions_lesson.ipynb		exceptions_lesson.ipynb
functional_answer.ipynb		functional_answer.ipynb
functional_exercise.ipynb		functional_exercise.ipynb
functional_lesson.ipynb		functional_lesson.ipynb
functions_answer.ipynb		functions_answer.ipynb
functions_answer_bmi.ipynb		functions_answer_bmi.ipynb
functions_exercise.ipynb		functions_exercise.ipynb
functions_exercise_bmi.ipynb		functions_exercise_bmi.ipynb
functions_lesson.ipynb		functions_lesson.ipynb
install_module_lesson.ipynb		install_module_lesson.ipynb
intermediate_challenges.md		intermediate_challenges.md
list_comprehensions_answer.ipynb		list_comprehensions_answer.ipynb
list_comprehensions_exercise.ipynb		list_comprehensions_exercise.ipynb
list_comprehensions_lesson.ipynb		list_comprehensions_lesson.ipynb
lists_answer.ipynb		lists_answer.ipynb
lists_exercise.ipynb		lists_exercise.ipynb
lists_lesson.ipynb		lists_lesson.ipynb
math_stats_modules_lesson.ipynb		math_stats_modules_lesson.ipynb
modules_lesson.ipynb		modules_lesson.ipynb
oop_answer_vaccine.ipynb		oop_answer_vaccine.ipynb
oop_exercise_vaccine.ipynb		oop_exercise_vaccine.ipynb
oop_lesson.ipynb		oop_lesson.ipynb
os_module_lesson.ipynb		os_module_lesson.ipynb
practical_example_1.ipynb		practical_example_1.ipynb
py_main_structure.py		py_main_structure.py
regex_lesson.ipynb		regex_lesson.ipynb
sets_lesson.ipynb		sets_lesson.ipynb
strings_answer.ipynb		strings_answer.ipynb
strings_exercise.ipynb		strings_exercise.ipynb
strings_lesson.ipynb		strings_lesson.ipynb
test_sql_1_answer.ipynb		test_sql_1_answer.ipynb
tuples_answer.ipynb		tuples_answer.ipynb
tuples_exercise.ipynb		tuples_exercise.ipynb
tuples_lesson.ipynb		tuples_lesson.ipynb
type_annotations_lesson.ipynb		type_annotations_lesson.ipynb
web_scrape_lesson.ipynb		web_scrape_lesson.ipynb

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Python Course README

Foundation Course

Bootcamp

Data Structures 1

Consolidation Exercise (Attendees)

Intermediate Course

Control Flow

Data Structures 2

Consolidation Exercise (Data Structures)

Writing Functions

Miscellaneous modules and packages

Practical Examples

Advanced Course

Practical Applications

Functional programming

Object-oriented programming

Optional sections

Data Analysis With Python Course

Introduction to data analysis and visualisation

numpy package

pandas

seaborn

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Python Course README

Foundation Course

Bootcamp

Data Structures 1

Consolidation Exercise (Attendees)

Intermediate Course

Control Flow

Data Structures 2

Consolidation Exercise (Data Structures)

Writing Functions

Miscellaneous modules and packages

Practical Examples

Advanced Course

Practical Applications

Functional programming

Object-oriented programming

Optional sections

Data Analysis With Python Course

Introduction to data analysis and visualisation

numpy package

pandas

seaborn

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