Elizabeth – is a fast and easier to use Python library for generating dummy data. These data are very useful when you need to bootstrap the database in the testing phase of your software. A great example of how you can use the library are web applications on Flask or Django which need a data, such as users (email, username, name, surname etc.), posts (tags, text, title, publishing date and etc.) and so forth.
Grumpy: Go running Python!
Google runs millions of lines of Python code. The front-end server that drives youtube.com and YouTube’s APIs is primarily written in Python, and it serves millions of requests per second! YouTube’s front-end runs on CPython 2.7,
.. but we always run up against the same issue: it’s very difficult to make concurrent workloads perform well on CPython.
.. Grumpy is an experimental Python runtime for Go. It translates Python code into Go programs, and those transpiled programs run seamlessly within the Go runtime.
.. The goal is for Grumpy to be a drop-in replacement runtime for any pure-Python project.
.. In particular, Grumpy has no global interpreter lock, and it leverages Go’s garbage collection for object lifetime management instead of counting references. We think Grumpy has the potential to scale more gracefully than CPython for many real world workloads.
.. Grumpy programs can import Go packages just like Python modules! For example, the Python snippet below uses Go’s standard net/http package to start a simple server
Video: Modern Dictionaries by Raymond Hettinger
Python’s dictionaries are stunningly good. Over the years, many great ideas have combined together to produce the modern implementation in Python 3.6. This fun talk is given by Raymond Hettinger, the Python core developer responsible for the set implementation and who designed the compact-and-ordered dict implemented in CPython for Python 3.6 and in PyPy for Python 2.7. He will use pictures and little bits of pure python code to explain all of the key ideas and how they evolved over time. He will also include newer features such as key-sharing, compaction, and versioning. This talk is important because it is the only public discussion of the state of the art as of Python 3.6. Even experienced Python users are unlikely to know the most recent innovations.
Who and Why (Audience):
This talk is for all Python programmers. It is designed to be fully understandable for a beginner (it starts from first principles) but to have new information even for Python experts (how key-sharing works, how the compact-ordered patch works, how dict versioning works). At the end of this talk, you can confidently say that you know how modern Python dictionaries work and what it means for your code.Bio
Raymond Hettinger has also served as a director of the Python Software Foundation, and has mentored many people over the years on their contributions to the python-dev community. He is also well known for his contributions to the Python Cookbook, and shares many pieces of Python wisdom on Twitter. He is a frequent keynote speaker at Python Conferences around the world and has received the Distinguished Service Award at PyCon 2014 for his exceptional contributions to the python community.