How to Make Your Python Jupyter Notebook Standalone
Learn to make Python Jupyter notebooks reproducible and standalone using a JupyterLab extension for dependency management. Explore resolution engines, handle various scenarios, and ensure project reusability in cloud environments.
Sculpting Data for Machine Learning
Explore dataset curation for machine learning, from identifying and extracting meaningful data to constructing high-quality datasets using Python, emphasizing the crucial role of data in developing smart algorithms.
Why Should Async Get All The Love - Advanced Control Flow With Threads
Explore advanced threading techniques in Python, inspired by asyncio, Go, and Node, for improved control flow and performance in concurrent programming.
If an Asyncio Task Fails in the Woods and Nobody Is Around to See It, Does It Make a Sound?
Discover bad asyncio patterns and learn effective solutions for bootstrapping, tear down, and code improvement in this insightful talk on handling production failures.
Improving App Performance with Snapshots
Learn to enhance app performance by optimizing database queries using the "snapshot-queries" library. Discover techniques for efficient Python coding and scaling without increased costs.
Harvest the Power of the GPU for Awesome Special Effects
Explore GPU-powered graphics with OpenGL shaders in Python using the Arcade library. Learn shader basics, integration, and create stunning visual effects.
Exploring the Wonders of Timesketch and Jupyter
Harness the power of notebooks and Timesketch to solve forensic challenges. Learn data analysis, visualization, and API integration for effective digital investigations.
Using Sockets in Python
Learn to effectively use Python sockets for network programming. Covers UDP, TCP, hostname resolution, non-blocking sockets, and advanced techniques like greenlet-based networking and Twisted.
Twisted Tutorial Part 2
Learn advanced Twisted concepts, including asynchronous programming, network protocols, and event-driven architecture for building scalable and efficient Python applications.
Some Experiences with Python for Android
Explore Python-For-Android (Py4A) implementation, challenges, and practical applications in mobile development. Gain insights from real-world experiences.
Functional Programming in Python and Even Haskell Part 1
Explore functional programming concepts in Python and Haskell, enhancing your coding skills with advanced techniques and paradigms.
Fully Test Driven Django with Selenium - Part 1
Learn to implement test-driven development in Django using Selenium, focusing on practical techniques and best practices for robust web application testing.
Fully Test Driven Django with Selenium - Part 2
Explore advanced test-driven development techniques for Django using Selenium, focusing on practical implementation and best practices for robust web applications.
Building Your First App with Python and MongoDB
Learn to create applications using Python and MongoDB, exploring database integration, data modeling, and efficient querying techniques for scalable and flexible development.
Fast Data Mining with Pytables and Pandas
Explore efficient data mining techniques using Pytables and pandas for handling large datasets and performing rapid analysis.
Python and Arduino - A Tale of Snakes and Kings
Explore the integration of Python and Arduino, discovering how these powerful technologies can work together for innovative hardware and software projects.
Unveiling the Open Source Visualization Engine for Busy Hackers
Open source engine for creating advanced data visualizations, enabling visual learners to interpret complex data sets efficiently. Useful for security practitioners, incident responders, and malware researchers.
Pivoting in Amazon Clouds
Explore cloud application vulnerabilities and exploitation techniques in Amazon Web Services, from initial access to gaining root account control. Learn about EC2, SQS, IAM, RDS, and more.
HTExploit - Bypassing Htaccess Restrictions
Explore HTExploit, an open-source Python tool that bypasses htaccess authentication, allowing unauthorized directory listing and exposing web security vulnerabilities.
BinaryPig - Scalable Malware Analytics in Hadoop
Scalable malware analytics framework using Hadoop for processing large volumes of malware samples. Enables efficient feature extraction, machine learning, and data exploration for security researchers.
Uncluster Your Data Science Using Vaex
Explore Vaex, a powerful DataFrame library for efficient data manipulation and visualization of massive datasets on a single machine, enabling real-time analysis without cluster overhead.