Jmoir

5 ms·

1.
Software Development Time Estimation(datadependence.com)
1 points by Jmoir 7y ago|0 comments
2.
Firestore Rules Examples – Ten Must-Know Patterns(datadependence.com)
2 points by Jmoir 7y ago|0 comments
3.
Never run out of coding project ideas(datadependence.com)
2 points by Jmoir 7y ago|0 comments
4.
Speed up your Jupyter Notebook workflow(datadependence.com)
3 points by Jmoir 10y ago|0 comments
5.
Python – Processing Large Data Sets with Yield and Generators(datadependence.com)
4 points by Jmoir 10y ago|0 comments
6.
Pythonically Merging Dictionaries(datadependence.com)
2 points by Jmoir 10y ago|0 comments
7.
Hacking Python’s Memory with __slots__(datadependence.com)
1 points by Jmoir 10y ago|0 comments
8.
(Free) Pythonic Code Video Series by Michael Kennedy(datadependence.com)
1 points by Jmoir 10y ago|0 comments
9.
A review of Michael Kennedy's Write Pythonic code like a seasoned developer(datadependence.com)
1 points by Jmoir 10y ago|0 comments
10.
A Guide to Slicing in Python(datadependence.com)
2 points by Jmoir 10y ago|0 comments
11.
by Jmoir 10y ago
I fully agree with the crappy documentation. Which to be honest isn't consistent with the rest of the python sphere. Documentation tends to be pretty good generally. It's a shame.
12.
by Jmoir 10y ago
Hmmm, I did a bit of searching and didn't find anything I particularly liked, I guess I'll add this to the list of posts I need to write. Nevertheless, I did find something. Check out these links: http://matplotlib.org&
13.
An Introduction to Scientific Python – Matplotlib(datadependence.com)
49 points by Jmoir 10y ago|17 comments
14.
An Introduction to Scientific Python – NumPy(datadependence.com)
5 points by Jmoir 10y ago|0 comments
15.
by Jmoir 10y ago
Whether they are a reinvention or not, can't I be ebullient about them? I love new technology for example, and I get pretty ebullient about whatever new things there are. It doesn't mean that I'm ignorant of the past that has
16.
by Jmoir 10y ago
That's true haha. It rains a fair amount but it's definitely over exaggerated.
17.
by Jmoir 10y ago
Yeah it's 1.5 times larger. It was a joke though because Japanese people always say it never stops raining in the UK, it's like the first thing they always say.
18.
by Jmoir 10y ago
That's a good point, I've ran into problems with that before too. Thanks.
19.
An Introduction to Scientific Python – Pandas(datadependence.com)
136 points by Jmoir 10y ago|42 comments
20.
Data Dependence – An Introduction to Scientific Python: NumPy(datadependence.com)
1 points by Jmoir 10y ago|0 comments
21.
[Tutorial] Creating Map Visualisations in Python with Basemap(datadependence.com)
3 points by Jmoir 10y ago|0 comments
22.
Creating Map Visualisations in Python with Basemap(jamalmoir.com)
1 points by Jmoir 10y ago|0 comments
23.
An Introduction to Scientific Python (and a Bit of the Maths Behind It) – Pandas(jamalmoir.com)
10 points by Jmoir 10y ago|0 comments
24.
by Jmoir 10y ago
That is true, the maths is very basic and it doesn't go into why it's blazingly fast. The reason for this is that it doesn't fit the idea of this series at all. However that would be an interesting post, it will be a good one
25.
An Introduction to Scientific Python (and a Bit of the Maths Behind It)(jamalmoir.com)
22 points by Jmoir 10y ago|2 comments
26.
A Quick Guide to Slicing in Python – Become a Python Ninja(jamalmoir.com)
3 points by Jmoir 10y ago|0 comments
27.
An Intro to Scientific Python (and a Bit of the Maths Behind It) – Matplotlib(jamalmoir.com)
3 points by Jmoir 10y ago|0 comments
28.
Building GUIs in Python 3.5(jamalmoir.com)
3 points by Jmoir 10y ago|0 comments
29.
Mocking in Python – How to Bypass Expensive and External Code Within Your Tests(jamalmoir.com)
3 points by Jmoir 10y ago|0 comments
30.
How to Write Beautiful Code with Pythonic Idioms (Complete Series)(jamalmoir.com)
1 points by Jmoir 10y ago|0 comments

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