Creator of pyfpa python package. Finance Person who uses a lot of python, ML, RPA and pandas. I want to teach people how to get useful in python quickly.
Joined April 2019
- Tweets 74
- Following 45
- Followers 64
- Likes 62
8 Photos and videos
4 Jun 2021
A.I. Drone May Have Acted on Its Own in Attacking Fighters, U.N. Says nytimes.com/2021/06/03/world…
1 Jun 2021
To walk through a directory and subdirectory:
import os
d = os.walk(DIRECTORYPATH)
"d' is now a generator you can cycle through the root and each subdirectory:
for x in d:
next(d)
#Python #pythonlearning #datascience
3
3
pyfpa - Python for Finance retweeted
18 Jan 2021
5 Python Tricks You Should Start Using in 2021
Python is evolving. Don’t get left behind!
towardsdatascience.com/5-pyt…
1
16
58
pyfpa - Python for Finance retweeted
8 Dec 2020
Was looking for a way to include size of each segment in groupby with pandas.
Ended up doing this
df["size"] = 1
df.groupby(["device"]).agg({
"pos_wow_change": np.mean,
"size": sum,
})
What's the better way? #python
1
1
3
8 Dec 2020
pyfpa - Budget Consolidation Tutorial, part II youtu.be/e5M3CMweK5c via @YouTube
#learnpython #Python #DataScience #DataAnalytics #Finance #Accounting #CorporateFinance
A python based ERP system with import, storage, analysis and visualization.
1
20 interesting Python 🐍 libraries that you may want to check out:
- Numpy
- Pandas
- Pillow
- Matplotlib
- Requests
- Fire
- SQLAlchemy
- BeautifulSoup
- TensorFlow
- Pendulum
- Arrow
- PyTorch
- Pytest
- Black
- Pylint
- Scikit-Learn
- Scrapy
- Poetry
- Bokeh
- Bowler
45
390
2,137
5 Dec 2020
Nested List transposition using list comprehension.
m = [[1,2,3],[10,20,30],[100,200,300]]
z = [[m[m.index(x)][y] for x in m] for y in [m.index(x) for x in m]]
z output = [[1, 10, 100], [2, 20, 200], [3, 30, 300]]
#LearnPython #Python
3 Dec 2020
Going to check this out!
1 Dec 2020
This is SO true! Especially in corporate there is a huge amount of work in wrangling data and just mapping business processes.
Its like when Bill Gates set out to save the world with Tech and the internet and found out it really needed toilets, fresh water and mosquito nets.
1 Dec 2020
#DataScientist job expectation vs reality ... #DataScience #MachineLearning #DeepLearning #AI #DigitalTransformation #ArtificialIntelligence #DataAnalytics
2
4
1 Dec 2020
Sometime Pandas can be a little unfriendly for corporate finance and accounting...
youtu.be/uDe7NNanWcg
pyfpa is made for introductory corporate finance & accounting functions. #Python #Finance #Accounting #DataAnalytics #data
1
30 Nov 2020
pyfpa Function Tutorial
get_duplicates(based_on=None, data_obj='data')
bit.ly/2JoXGDk
Example:
from pyfpa import fpa
f = fpa()
f.import_xl('C:/AP/Pmts_May20.csv')
f.add_block_to_data()
f.get_duplicates(based_on=['City', 'Vendor'])
Retrieve duplicate records.
#python
30 Nov 2020
Get to Useful in python in a right away, for the basics of corporate FP&A.
pyfpa.readthedocs.io/en/late…
youtu.be/uDe7NNanWcg
pyfpa - Python for Finance retweeted
29 Nov 2020
#Learn #Python for #DataScience with #Excel: Summarize #Data in #Pandas
👇🏽
youtube.com/watch?v=4zLd9YEn…
v/ @SourabhSKatoch
#100DaysOfCode #IoT #IIoT #IoTPL #100DaysOfCode #Serverless #womenwhocode #Machinelearning #ML #AI #Cloud #cybersecurity #CodeNewbie #DataScientist #DEVCommunity
14 Oct 2020
How to Learn Python for Data Science with Excel? [Summarize Data in Pandas]
youtube.com/watch?v=4zLd9YEn…
#100DaysOfCode #IoT #100DaysOfMLCode #flutter #javascript #Serverless #womenwhocode #Machinelearning #Python #cybersecurity #RStats #CodeNewbie #DataScience #DEVCommunity
26
12
29 Nov 2020
I've found it really useful, before I code a process, to do a quick search at pypi.org.
Sometimes you can find cool package.
A lot of people are doing a lot or coding out there...
#python #coding #finance #Accounting
pyfpa.readthedocs.io/en/late…
1
pyfpa - Python for Finance retweeted
26 Nov 2020
I think this story on GPT-3 takes a little too much comfort in ways the system remains imperfect when the key fact is it’s getting better, at more and more varied tasks than anyone predicted, at astonishing speed. nytimes.com/2020/11/24/scien…
8
23
234
pyfpa - Python for Finance retweeted
21 Nov 2020
The chip was designed for compatibility with 16K-bit chips. Long dark strips in photo are four 64×256 memory arrays. This design made it compatible with existing refresh circuits like the Z-80. (Bits in DRAM capacitors leak away unless they are refreshed every few milliseconds.)
1
3
55
21 Nov 2020
especially
20 Nov 2020
fuck 1488