Course details page: talkpython.fm/100days
#100DaysOfCode in Python is your perfect companion to take the 100 days of code challenge and be successful. This course is 1-part video lesson, 2-parts guided projects. You will be amazed at how many Python technologies and libraries you learn on this journey. Join the course and get started.
100 days of code is not just about the commitment. The true power and effectiveness is in having a guide and pursuing the "right-sized" projects. That’s why we have 33 deeply practical projects. Each paired with 20-40 minute lessons at the beginning of the project.
Just a small sampling of the projects you’ll work on include:
View the full course outline.
This course is for anyone who wants to immerse themselves in Python for 100 days worth of learning and hands-on projects.
We don’t start from absolute zero in terms of programming but if you are new to Python we have a language appendix and we start somewhat slow. By the end of the course, we get into intermediate-level Python projects.
We have broken the 100 days worth of coding into 33 3-day segments. As you can see, the first day is largely learning the new topics (HTTP APIs, web scraping, databases, etc.). The following two days have some guidance but is much more hands-on than the first day.
Visit the full course page for all the details: talkpython.fm/100days
Azure Notebooks is a free hosted service to develop and run Jupyter notebooks in the cloud with no installation. Jupyter is an open source project that lets you easily combine markdown text, executable code (Python, R, and F#), persistent data, graphics, and visualizations onto a single, sharable canvas called a notebook.
Interactive Azure Notebooks provides security insights and actions to investigate anomalies and hunt for malicious behaviors. Each Azure Notebook is purpose-built with a self-contained workflow for a specific use case. Visualizations are included in each Azure Notebook for faster data exploration and threat hunting. Click on the button below to clone our prebuilt investigation and hunting Azure Notebooks into projects that belong to you. Modify and tailor your projects to your environment. Either run the Azure Notebooks for free or, for better performance, run them on a dedicated virtual host. Click here to
Azure Security Insights will provision notebooks and supporting modules for you in Azure Notebooks. You can also download the notebooks and modules and use them locally in a supported Python environment (Anaconda is recommended) or another notebook hosting environment such as or a JupyterHub environment that supports Python 3.6 or later.
Your library is ready to go!
Here are a few things to get you started:
Demo files associated with "Threat Hunting with Notebook technologies" presented at Secureworld conferernce in Seattle, WA https://events.secureworldexpo.com/agenda/seattle-wa-2018/
Github jupyter notebook viewer does not parse well, use online services such as nbviewer: https://nbviewer.jupyter.org or mybinder: https://mybinder.org/ to view and interact with notebooksby providing github notebook/repo URL.
Same repo is also cloned and available at azure notebooks: https://notebooks.azure.com/ashwinrp/projects/threat-hunting-with-notebooks
Basic Data Analysis and Visualization on Failed Logon Data
Time series anomaly detection on successful logon data using anomalize package
Threat Hunting with ip address from logs