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Python Expert Tutorial

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Exercise Files: No Exercise Files For This Course

Who it's for: Learners who’ve mastered Python fundamentals and want to get hands-on with practical, intermediate topics that make real programs feel “professional.” It’s a great fit for self-taught coders, students, and working professionals who need to step through code to understand bugs, persist data to files (including CSV and binary), work with dates/times, and apply readable number formatting—plus anyone who benefits from building a small but complete project that ties it all together.

What it is: Python is a high-level, general-purpose programming language designed to be easy to read and write, so you can focus on solving problems instead of wrestling with syntax. It supports multiple paradigms—procedural, object-oriented, and functional—and comes with a vast standard library for common tasks like working with files, dates and times, data formats (JSON/CSV), networking, and more. Because it’s cross-platform and open source, the same Python code can run on Windows, macOS, and Linux, and it integrates well with popular tools and ecosystems—from web frameworks (Flask, Django) to data and AI libraries (pandas, NumPy, scikit-learn, PyTorch). Whether you’re automating repetitive tasks, building web APIs, analyzing data, or scripting complex workflows, Python’s clear syntax and rich package ecosystem make it a practical, scalable choice for beginners and professionals alike.

What you'll learn: You’ll explore effective debugging (IDLE breakpoints, stepping, and strategies like rubber-ducking, hypothesis testing, black-box/white-box thinking), then dive into file I/O with Python’s with open(...) pattern and the read/write/append modes, use the csv module to structure tabular data, and touch binary files and what “binary” really means. You’ll also format numbers cleanly, use datetime for timestamps and date math, and cap it off by building a journal app: a looping, input-validated menu with functions to start a journal, append timestamped entries, and read them back—cementing real-world skills you can reuse in bigger projects.

Start 0:00
Introduction 0:08
Advanced 1:48
Other Modes of Debugging 5:48
File IO Introduction and Tips 10:10
CSVs and Using a Loop to Write to a File 15:27
Running CSV Test File and IO to Binary Files 21:24
Datetime and Functions of Datetime 28:03
Rounding and Fstrings 34:54
Beginning of Final Programming Challenge 38:18
startJournal and addEntry Functions PC 42:47
addEntry and readEntries Functions PC 47:46
Main Function PC 54:34
Debugging and Testing Programming Challenge 1:12:21
Conclusion 1:07:00

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