pythoncode-tutorials: a tutorial corpus, not a library
The Python Code Tutorials
At a glance
- What is it?
- The repository x4nth055/pythoncode-tutorials is the code companion to The Python Code website, organised by topic folders such as scapy, ethical-hacking and machine-learning. It is a set of runnable examples rather than an installable package, and its value depends on reading each script next to its article.
- Who is it for?
- Adopt it as a reading and adaptation source if you are learning Scapy, sockets or Paramiko and you want a working starting point per topic; the MIT licence permits reuse with attribution. Do not treat it as a dependency: there is no package on any index, no release, and each folder is a standalone script with its own imports.
- Can I use it commercially?
- Yes. MIT is a permissive licence: you can use, modify and sell software built on it, as long as you keep its copyright and licence notices.
- Is it still maintained?
- Yes. The repository last received commits 65 days ago.
- What is it written in?
- Mainly Jupyter Notebook, according to GitHub's language statistics.
Answers come from the project's GitHub data, last synced on September 15, 2026, and from our analysis. They are not legal advice.
DEEP OPEN-SOURCE ANALYSIS
What the repository actually is
The README opens with two banner images for CodingFleet, a code generator and a code converter, then states plainly that this is a repository of all the tutorials of The Python Code website. That sentence is the whole scope. The repository is the code half of a written tutorial site, and the list of tutorials below the banner is a table of contents linking out to articles on thepythoncode.com, with a code link pointing back into a folder here. Nothing in the supplied material describes a package, a versioned release, or an API surface. There are no releases retrieved, and the topics list reads like a taxonomy of article subjects: computer-vision, ethical-hacking, face-detection, machine-learning, natural-language-processing, network-analysis, network-programming, network-security, scapy, socket-programming, text-classification, web-scraping. The primary language field says Jupyter Notebook, which fits a site that publishes walkthroughs, though the folder names in the README point at .py files, for example scapy/arp-spoofer and ethical-hacking/port_scanner. The audience is therefore someone following an article, not someone adding a dependency to a requirements file.
The scapy folder is the densest part of the tree
Sixteen entries sit under the Scapy heading, and they are the clearest picture of how the repository is meant to be used. They run from Getting Started With Scapy through to Building a Honeypot Defense System, and the folder names describe the artefact rather than the concept: arp-spoofer, arp-spoof-detector, dhcp_listener, fake-access-point, network-kicker, network-scanner, dns-spoof, http-sniffer, wifi-scanner, syn-flood, http-code-injector, ip-spoofer, uncover-hidden-wifis, crafting-packets, honeypot-defense-system. Notice that the offensive and defensive examples sit side by side. An ARP spoofer and an ARP spoof detector are separate folders in the same directory, which is a deliberate teaching arrangement: the detector article only makes sense if you have seen the attack. The same pairing logic appears in the ethical-hacking folder, where a port scanner written with sockets sits alongside a reverse shell, a subdomain scanner, a keylogger, and a set of credential-adjacent scripts covering Chrome passwords, Chrome cookies, saved WiFi passwords and zip and PDF cracking. That last group is the part most readers will need to think about before running anything, because the scripts target a local machine's own stored data in a lab context.
How you get an example running
There is no install step for the repository as a whole. The README gives no pip command, no setup.py, no pyproject.toml and no environment file, so the workflow is per folder. Based on the repository layout, you clone the tree, change into the directory named in the README link, and read the imports at the top of the script to know what to install. The README's link format is consistent: an article URL on thepythoncode.com followed by a bracketed code link such as (scapy/arp-spoofer) or (ethical-hacking/port_scanner). Those bracketed paths are the only mapping between prose and code, so the article is the installation guide. Scapy examples will need scapy itself; the SSH brute-force folder is described in its article title as using Paramiko; the HTTP proxy example is described as using mitmproxy. Several of the network scripts require elevated privileges, because crafting and sniffing packets at that layer needs raw socket access, and the fake access point and network kicker examples depend on hardware and drivers that not every machine has. None of that is stated in the README itself. It is stated in the article titles, which name the library or the tool in almost every case.
Where the tutorial format breaks down
The repository carries no version pinning. The README lists article titles, not dependency versions, so a script written against one Scapy release may need adjustment against a later one, and the reader has no manifest to compare against. There is also no test suite referenced anywhere in the material, which means the examples are validated by the article author at publication time and by nobody afterwards. The last push date is recent, so the repository is maintained, but maintenance here means new tutorial folders appearing, not old ones being regression tested. A second limitation is that the folders are independent. If you want a shared helper, a common logging setup or a reusable packet-building function, you will not find one: each script stands alone, and copying two of them into one project means reconciling duplicated boilerplate yourself. The third and most important boundary is legal and ethical rather than technical. The MIT licence covers the code, but the scripts named arp-spoofer, syn-flood, dns-spoof, keylogger, reverse_shell and ransomware are attack tools. The licence grants permission to use the code; it does not grant permission to point it at a network you do not own. That distinction is not spelled out in the README, and it is the point where a reader who treats this as a normal library will get into trouble.
How it compares with a maintained library
The obvious alternative for the network-security portion is to use Scapy directly and read its own documentation and test suite, rather than a tutorial folder. The difference in approach is sharp. Scapy is a library with a stable import surface, a documented API and a test suite that runs against each release; this repository is a set of demonstrations that use that library. If you need a packet-crafting primitive in production, Scapy's own documentation tells you what is guaranteed across versions, while a tutorial script tells you only what worked on the author's machine at one point in time. The trade runs the other way for learning speed. Scapy's documentation assumes you already know what an ARP reply looks like on the wire; the arp-spoofer folder and its article assume you do not, and walk you from a blank file to a working spoofer. So the honest comparison is not which is better but which question you are asking. If the question is how do I build this, the tutorial wins. If the question is what can I rely on in six months, the library wins, and the tutorial is a starting sketch you rewrite.
Licence, attribution and what maintenance costs you
The repository is MIT licensed, which permits commercial and private use, modification and redistribution provided the copyright notice and permission notice are retained. If you lift a script into a product, keep the notice. This is a description of the licence text, not legal advice; if the code ends up in something you ship, read the LICENSE file in the repository and take your own counsel. The maintenance cost of depending on this repository is close to zero and close to useless at the same time: there is nothing to upgrade, because there is nothing installed, and there is nothing to break, because you are not importing it. What you inherit instead is the cost of keeping a copied script working against a moving library. A script that uses Scapy's packet layers will keep working until those layers change; a script that shells out to a system tool will keep working until that tool changes its output format. Neither risk is documented here, so the practical approach is to copy the script, pin the library version you tested against in your own project, and treat the tutorial article as the specification you are implementing.
Who this is for
This repository suits an engineer who already writes Python and wants a working reference for a specific domain: packet crafting with Scapy, socket-level port scanning, Paramiko-based SSH automation, image steganography, hashing with hashlib, or the machine-learning and NLP examples listed under their own topics. It suits a reader who is willing to open the linked article, because the README is a table of contents and not a manual. It does not suit anyone looking for a maintained dependency, a versioned release, a test suite or a stable API, and it does not suit anyone who wants a single shared codebase across the examples. The strongest signal in the material is the pairing structure: every folder has an article, and the article is where the explanation, the prerequisites and the ethical framing live. Treat the folder as the answer key and the article as the lesson, and the repository does exactly what it claims to do.
Editorial conclusion
Adopt it as a reading and adaptation source if you are learning Scapy, sockets or Paramiko and you want a working starting point per topic; the MIT licence permits reuse with attribution. Do not treat it as a dependency: there is no package on any index, no release, and each folder is a standalone script with its own imports. Before you copy anything, open the linked article for that folder and check the imports at the top of the file, because the README maps each folder to a specific article and that pairing is the only documentation the repository ships.
Community notes