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‎.gitignore

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# Byte-compiled / optimized / DLL files
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__pycache__/
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*.py[cod]
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*$py.class
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# C extensions
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*.so
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# Distribution / packaging
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.Python
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build/
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develop-eggs/
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dist/
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downloads/
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eggs/
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.eggs/
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lib/
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lib64/
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parts/
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sdist/
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var/
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wheels/
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pip-wheel-metadata/
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share/python-wheels/
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*.egg-info/
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.installed.cfg
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*.egg
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MANIFEST
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# PyInstaller
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# Usually these files are written by a python script from a template
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# before PyInstaller builds the exe, so as to inject date/other infos into it.
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*.manifest
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*.spec
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# Installer logs
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pip-log.txt
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pip-delete-this-directory.txt
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# Unit test / coverage reports
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htmlcov/
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.tox/
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.nox/
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.coverage
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.coverage.*
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.cache
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nosetests.xml
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coverage.xml
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*.cover
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*.py,cover
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.hypothesis/
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.pytest_cache/
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# Translations
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*.mo
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*.pot
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# Django stuff:
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*.log
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local_settings.py
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db.sqlite3
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db.sqlite3-journal
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# Flask stuff:
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instance/
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.webassets-cache
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# Scrapy stuff:
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.scrapy
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# Sphinx documentation
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docs/_build/
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# PyBuilder
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target/
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# Jupyter Notebook
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.ipynb_checkpoints
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# IPython
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profile_default/
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ipython_config.py
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# pyenv
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.python-version
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# pipenv
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# According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control.
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# However, in case of collaboration, if having platform-specific dependencies or dependencies
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# having no cross-platform support, pipenv may install dependencies that don't work, or not
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# install all needed dependencies.
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#Pipfile.lock
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# PEP 582; used by e.g. github.com/David-OConnor/pyflow
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__pypackages__/
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# Celery stuff
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celerybeat-schedule
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celerybeat.pid
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# SageMath parsed files
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*.sage.py
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# Environments
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.env
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.venv
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env/
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venv/
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ENV/
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env.bak/
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venv.bak/
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# Spyder project settings
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.spyderproject
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.spyproject
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# Rope project settings
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.ropeproject
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# mkdocs documentation
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/site
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# mypy
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.mypy_cache/
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.dmypy.json
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dmypy.json
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# Pyre type checker
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.pyre/
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# Hugo generated files
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public/

‎README.md

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# practical_python
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## License
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The source code and exercises in `workshop/` is licensed under the permissive MIT license.
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[![CC BY 4.0][cc-by-nc-nd-shield]][cc-by-nc-nd]
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The content of the Practical Python Course Website in the `website/content` directory is (c) 2020 by Nina Zakharenko (c) and is licensed under a
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[Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License](cc-by-nc-nd).
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The intent of this restrictive license is to give individual learners free access to the course materials. Do not use this material to teach your own Python course or workshop. Instead, please consider supporting my work and significant effort by watching the course on [Front End Masters](https://frontendmasters.com/teachers/nina-zakharenko/) instead.
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[![CC BY NC ND 4.0][cc-by-nc-nd-image]][cc-by-nc-nd]
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[cc-by-nc-nd]: https://creativecommons.org/licenses/by-nc-nd/4.0/
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[cc-by-nc-nd-image]: https://licensebuttons.net/l/by-nc-nd/3.0/88x31.png
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[cc-by-nc-nd-shield]: https://img.shields.io/badge/License-CC%20BY%20NC%20ND4.0-lightgrey.svg

‎description.yml

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# Status can be publish, tba, canceled, postponed OR hidden
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Status: tba
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StartDate: 2020-10-30
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EndDate: 2020-10-30
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Slug: practical-python
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Title: "A Practical Guide to Python"
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Subtitle: Spend A Full Day Immersed in Python with Nina Zakharenko
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Teachers:
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- zakharenko
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Excerpt: Practical Python is a one day intensive hands-on workshop designed for intermediate developers looking to become productive coding Python as quickly as possible. By the end of the course, you'll have a solid understanding of Python syntax and best practices, and you'll put your knowledge to use building a fully-functioning web app.
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Benefits:
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- Dive straight into learning Python for maximum productivity.
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- Learn about Python syntax, libraries, and best practices.
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- Use functions, object-oriented Python, and modules to structure your code.
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- Learn to overcome common stumbling blocks.
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- Finish the course with a fully-functioning web application, complete with unit tests.
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Summary: Practical Python leverages your experience as a coder to quickly get you up to speed with writing effective Python. In this single-day training, we'll cover everything you need to know to write and read Python programs. This hands-on workshop will give you a deeper understanding of how Python works instead of just memorizing syntax.
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Audience:
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Overview:
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This hands-on workshop is for anyone who's already comfortable coding, but wants to get up to speed in Python for maximum productivity.
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# Optional prerequisite list
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Prerequisites:
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- Command line experience in any operating system.
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- Coding experience in any language, as well as an understanding of concepts like like types, functions, and loops.
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- Understanding of the basics behind working with APIs -- requests, responses, and HTTP status codes.
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- Please install Python 3.9, Visual Studio Code, and the Python Extension for Visual Studio Code before class.
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Agenda:
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Schedule:
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- 0930: Introduction, prerequisite check, learn about what makes Python special
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0945: Get comfortable in the Python REPL by working with foundational types like numbers, strings, and lists
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1030: Introduction to working with complex types like sets, tuples, and dictionaries
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1130: Structure your code with functions, loops, and logic
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1200: Lunch
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1300: Slicing, list comprehensions, and working with files
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1330: Object-oriented Python
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1430: Libraries and modules
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1500: Web frameworks, databases, writing tests
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1630: Wrap up and Q&A
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# Optional add a note below the agenda
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# Note: If you want to spice the agenda up with a note

‎outline.md

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# A Practical Guide to Python
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## Summary
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The Practical Guide to Python is targeted towards the advanced-beginner/intermediate developer who wants to start working productively in Python in just one day.
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We'll zoom through the basics of syntax, looping, boolean logic, and functions and hone in on intermediate topics.
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We'll cover more advanced hands-on topics like reading and writing from files and using the requests framework.
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## Target Audience
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This course targets developers who may already be familiar with another programming language or two -- JavaScript, Ruby, etc and get them ramped up and ready to work on Python projects in just one day.
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# Course Outline
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- Introduction / About your instructor
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- Requirements
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- Why Python
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- Standard Library
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- Running Python Programs
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- As Scripts
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- From the CLI
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- Syntax
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- Exceptions
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- Reading Tracebacks
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- Basic Data Types & Functions
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- Lists, Dictionaries, Sets and Tuples
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- String Manipulation, Converting between types
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- Control Statements and Truthiness
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- Loops & Slices
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- Slicing
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- Simple loops (for, while)
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- zip, enumerate
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- Comprehensions
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- All about Exceptions
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- Try / Except
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- Best Practices
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- Custom Exceptions
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- Working with files
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- Reading / Writing
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- Libraries & Modules
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- Standard Library
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- Virtual Environments
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- Installing 3rd party libraries
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- PyPi
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- imports, package structure
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- Working with APIs
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- Using the requests library
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- Working with JSON files
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- Test
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- Test frameworks
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- assertions
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- Web Frameworks
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- Basic Flask
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- Basic Django
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- Working with Databases
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- Connecting
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- Types
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- ORMs
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TBD sections:
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- Writing command line tools
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- Web scraping

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