Thirty lessons move from syntax to a small web API
The table of contents assigns one subject to each of 30 days. It begins with installation, values, collections, control flow, and functions. Later lessons cover regular expressions, files, package management, classes, scraping, virtual environments, statistics, pandas, Flask, MongoDB, APIs, and an API-building exercise. Most days pair conversational explanations with code snippets and several levels of exercises, giving a lone beginner a route that is easier to follow than a folder of unrelated examples.
The author says completion may take 30 to 100 days, which is a healthier expectation than the title alone sets. The repository has 404 files and occupies 71.2 MB because lessons sit alongside screenshots, data, examples, and translation folders. That breadth is useful for browsing, although translation coverage is uneven by folder. Treat the day labels as ordering rather than deadlines, especially once the course reaches packages and web services.
Day 1 still teaches from a Python 3.7.5 setup
The first lesson identifies itself as the July 2021 second edition, shows Python 3.7.5, and tells readers that 3.6 or newer should work. The basic syntax remains recognizable, but beginner setup advice ages quickly. Screenshots walk through downloading Python and Visual Studio Code, then opening a shell and running a file. A new learner may follow those pictures literally without realizing that supported Python versions and editor screens have moved on.
Only about 4,495 lines in the 404-file checkout were counted as source by our harness, since much of the course is prose and imagery. That ratio explains why a code-oriented scan cannot grade the teaching material. It also argues for checking examples rather than assuming a large educational repository has software-project controls. GitHub detected no repository license, so readers can study the public material while organizations should obtain permission before redistribution or course repackaging.
What happened when we ran it
Our sandbox targeted the project in python_for_web/. Installation succeeded in 16 seconds, bringing in 41 packages and using 40 MB on disk. The build completed in 3 seconds in an unprivileged Python 3.12 Debian container with 3 CPUs and 8 GB of RAM. The whole checkout measured 71.2 MB. These results show that the selected Flask example can be prepared by the harness without extra system packages.
There was no tests script or target, so our run skipped tests. The repository scan found no tests directory and 0 CI workflow files. Pip-audit reported 19 known vulnerabilities in the installed environment. The log block supplied for this review does not list advisory IDs or assign them to particular packages, so the defensible conclusion is limited: this dependency set should not be carried into a public service without an update and a fresh audit.
The 41-package Flask example belongs on a learning machine
The measured requirements file has six direct pins: Click 7.0, Flask 1.1.1, itsdangerous 1.1.0, Jinja2 2.10.3, MarkupSafe 1.1.1, and Werkzeug 0.16.0. Its small app renders pages, accepts form text, and redirects to a result view. When launched directly, it enables Flask debug mode and binds to 0.0.0.0. Those choices make classroom inspection easy and are poor production defaults.
Our 16-second install resolved those pins to 41 packages and produced 19 known vulnerability findings. An open pull request, number 936, proposes CSRF protection for the form endpoint, but it remains a proposal rather than code in the measured commit. Beginners should run this example on a local machine or isolated container, understand each route, and then start a separate application with current dependencies and production settings.
Exercises are plentiful, while correctness checks are manual
Daily exercises ask learners to write their own strings, collections, functions, file handlers, data analysis, and API code. That progression creates useful repetition. It does not provide a built-in grader. Open issue 943 points to a concrete Day 4 error: a section labeled index() demonstrates find() instead. The two methods differ when a substring is absent, precisely the kind of detail a beginner needs an executable check to catch.
The absence of a test target across 404 files means learners must compare outputs themselves or ask another person. Several August 2026 pull requests correct terminology, spacing, string-method examples, and stale exercise URLs. That activity is welcome evidence that readers still inspect the lessons. It also shows why an instructor should run selected snippets on the Python version used in class before assigning them, particularly later examples that call outside APIs.
August 2026 contributions have not cleared the backlog
GitHub recorded the last push on August 27, 2026 and 72,639 stars when fetched. The repository API showed 202 combined issues and pull requests, while recent entries included corrections to class naming, string examples, and exercises. This is an active audience around a course first published in 2019. GitHub returned no latest release, so there is no tagged edition that freezes a known set of lessons and dependency choices.
The 3-second build and 16-second install make the Flask folder easy to open, but the 19 audit findings make it a bad starting point for deployment. The course works best as a paced reading and practice guide, with current Python documentation beside it and a mentor available for disputed examples. Its value is the ordered 30-day route. Its limit is that neither popularity nor recent pull requests verifies each lesson for you.