
Apply seven clean code principles to functions, using intention revealing names, constants in uppercase snake case, and single-responsibility design to improve readability and maintainability.
apply clean code commenting by revealing intent, using descriptive names, and commenting why rather than how, while removing unnecessary comments and using docstrings for complex cases.
Hide internal structure with underscore-based privacy, use data classes, and uphold single responsibility, inheritance, and low coupling for high cohesion across classes and modules.
Explore static analysis with mypy for type checking to catch type errors without running code. Learn dynamic vs static and strong vs weak typing, plus type hints and structural typing.
Master debugging in Python with VS Code by learning to set breakpoints, use conditional breakpoints, step through code, view the debug console, and inspect data frames with Data Wrangler.
Learn to debug with Python's built-in pdb, a cli debugger. Master key commands (l, ll, n, s, r, up, down) and printing with p/pp, plus breakpoints and call stack navigation.
Define bash aliases for repetitive commands in Linux, edit your bashrc with nano, and save with Ctrl-S and exit with Ctrl-X; automate frequent tasks with aliases or base scripts.
This course summarizes all the information I wish had been available when I started my career as a professional Python developer. It is a mix of practical and actionable tips that will:
- Make you a more legitimate candidate at software interviews
- Save you time on the job
- Help you write better Python code in general
Most of the bootcamps and courses on Python out there don't cover these things. The truth is that most Python coding tutorials are taught by people who have not written a single line of production Python code.
This course is built with the 80/20 principle in mind. It covers the most important 20% of content that gets you 80% of the results. There is probably a book or two for each chapter in this course, but reading all of them would take you weeks. This course brings you the most important tips and takeaways fast.
What will I learn?
What production code is
Writing production-level clean Python code
Examples of clean code in functions, comments, and OOP
Static analysis tools for typing
Static analysis tools for linting and formatting
Using debuggers in general
Using the VSCode debugger effectively
Using the pdb debugger effectively
Using VSCode and the shell effectively
General tips on how to appear more experienced during an interview
Money-back guarantee and instructor chat help are included with this course.