zincbase - A state of the art knowledge base https://t.co/Kw9sQhkHN5
— Python Trending (@pythontrending) May 26, 2019
zincbase - A state of the art knowledge base https://t.co/Kw9sQhkHN5
— Python Trending (@pythontrending) May 26, 2019
stumpy - A powerful and scalable Python library that can be used for a variety of time series data mining tasks https://t.co/IybDlFAUqj #python #datamining pic.twitter.com/MoENbdG0no
— Python Weekly (@PythonWeekly) May 21, 2019
healthchecks - A Cron Monitoring Tool written in Python & Django. https://t.co/zPhAf4Pc2f #python #django #cron pic.twitter.com/zzjfZbcdPC
— Python Weekly (@PythonWeekly) May 20, 2019
Things you’re probably not using in #Python 3 (but you should). #programminghttps://t.co/nJNnLndXUV pic.twitter.com/dqyRjhkpI1
— Randy Olson (@randal_olson) May 15, 2019
To get more from `itertools` library, see its 'recipes' section, https://t.co/L5guQ06MT9
— Daily Python Tip (@python_tip) May 14, 2019
and `repeatfunc` as an example.
https://t.co/2JRyh1yNsj
You can select elements of 2d #numpy array by lists of row and column indices
— Daily Python Tip (@python_tip) May 13, 2019
>>> x = np.arange(9).reshape((3, 3))
>>> x
array([[0, 1, 2],
[3, 4, 5],
[6, 7, 8]])
>>> x[[0,2,2], [1,0,2]]
array([1, 6, 8])
For details: https://t.co/LKY2rj9l8l
stumpy - STUMPY is a powerful and scalable Python library that can be used for a variety of time series data mining tasks https://t.co/sqDwbMkwoQ
— Python Trending (@pythontrending) May 12, 2019
Check out `blist`, a drop-in replacement for the Python list, that provides a better performance when modifying large lists:https://t.co/A2KH3nCZnY pic.twitter.com/ci27jOsjPQ
— Daily Python Tip (@python_tip) May 2, 2019
Kaggle is formally releasing a new micro-course by @alexis_b_cook next week.
— Dan Becker (@dan_s_becker) April 24, 2019
But it's already available at https://t.co/EUCCWp4kV9
It's just so good.
Possibly the single best resource on the internet for someone new to Python who wants the fast path to useful skills.
Tricky Python bug I just hit due to an incorrect mental model of class & instance attributes:
— Jake VanderPlas (@jakevdp) April 24, 2019
class Foo:
_num_instances = 0
def __init__(self):
self._num_instances += 1
f1 = Foo()
f2 = Foo()
print(Foo._num_instances)
Did you know that there's now a #Python version of the infamous #rstats data.table package? 📦 R data.table creator, @MattDowle, teamed with @h2oai colleague @pstetsenko to create Py @datatable. @sudalairajkumar has a @kaggle notebook to get you started: https://t.co/fXbCCR85af pic.twitter.com/dvmpQlsp1S
— Erin LeDell (@ledell) April 23, 2019
"Jupyter - 10 things you should know" from PyData Warsaw is a great introduction to everything Jupyter notebooks have to offer! https://t.co/X7fVYJz5sk
— PyData (@PyData) April 22, 2019
Subscribe to #PyData on Youtube for more!