DEV Community: Nicolò Giso

A short list of Data Science resources #6

Nicolò Giso — Tue, 11 Dec 2018 18:30:15 +0000

Even in those last seven days I found 4 interesting links related to data science and
Python that I wish to share with you.

Code examples for 50 matplotlib visualizations https://www.machinelearningplus.com/plots/top-50-matplotlib-visualizations-the-master-plots-python/
Three hints to build better data science presentations https://towardsdatascience.com/effective-data-science-presentations-caab621abc66
Easily import (and work with) Jupyter notebooks in Visual Studio Code https://blogs.msdn.microsoft.com/pythonengineering/2018/11/08/data-science-with-python-in-visual-studio-code/
A long guide to use itertools in Python
https://realpython.com/python-itertools/

If you have any feedback or cool resources, please share them in the comments!

A short list of Data Science resources #5

Nicolò Giso — Tue, 04 Dec 2018 18:59:49 +0000

Also this week I decided to gather some interesting resources, related to data science and Python, that I found in the last days. I hope that can be useful for someone else.

-"The 100 pages machine learning book", by Andriy Burkov, as the name itself says, collapses the basis of machine learning in just one hundred pages
http://themlbook.com/wiki/doku.php

Neuron is a Visual Studio Code extension that aims to bring the visualization abilities of Jupyter Notebooks to VS Code that https://blogs.msdn.microsoft.com/uk_faculty_connection/2018/10/29/data-science-in-visual-studio-code-using-neuron-a-new-vs-code-extension/
A nice intro on how to handle json data in Python https://realpython.com/python-json/
Implement a basic neural network with Python to grasp better the theory behind https://towardsdatascience.com/how-to-build-your-own-neural-network-from-scratch-in-python-68998a08e4f6
Three hint to build better data science presentations https://towardsdatascience.com/effective-data-science-presentations-caab621abc66

If you have any feedback or cool resources, please share them in the comments!

A short list of Data Science resources #4

Nicolò Giso — Tue, 27 Nov 2018 19:14:53 +0000

Also in the last days I stumbled upon some interesting resources related to data science. I hope that can be useful for someone else.

If you use python for your data science projects you surely work with pandas and scikit-learn but never heard of these little-known libraries. Check them out https://opensource.com/article/18/11/python-libraries-data-science
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a python/js dev with interests in malware, webapp security, osint, malware, threat intel, and malware

Google Dataset Search lets you find datasets wherever they are hosted https://toolbox.google.com/datasetsearch
A handful of pandas tricks https://www.pythonprogramming.in/pandas-examples.html
A lot of plots to highlight that correlation does not imply causation http://www.tylervigen.com/spurious-correlations

If you have any feedback or cool resources, please share them in the comments!

A short list of Data Science resources #3

Nicolò Giso — Tue, 20 Nov 2018 19:09:30 +0000

Also this week I decided to gather some interesting blog posts, related to data science and Python, that I found in the last days. I hope that can be useful for someone else.

A curated glossary of machine learning terms https://semanti.ca/blog/?glossary-of-machine-learning-terms
On the importance of starting from a baseline model in data science https://blog.insightdatascience.com/always-start-with-a-stupid-model-no-exceptions-3a22314b9aaa
An excellent introduction to Python decorators: https://realpython.com/primer-on-python-decorators/
Some Python handy tricks (not all of them aim of increasing your productivity) https://medium.freecodecamp.org/an-a-z-of-useful-python-tricks-b467524ee747

If you have any feedback or cool resources, please share them in the comments!

A short list of Data Science resources #2

Nicolò Giso — Tue, 13 Nov 2018 19:57:50 +0000

Last week I started to contribute to dev.to writing a post about some useful resources on which I stumbled upon in my daily job as a data scientist. I decided to repeat the "experiment", gathering some other tools and articles that I found in the last seven days, hoping that can be of interest also for somebody else:

The Data Viz Project offers all the possible graphs you can think of, with a detailed description and a bunch of examples https://datavizproject.com
In Python tuple unpacking makes code more readable, for instance avoiding hard coded indexes. Despite the name it works with any iterable. For a nice introduction: https://treyhunner.com/2018/03/tuple-unpacking-improves-python-code-readability/
Sometimes it's cool to have a basic GUI in top of your command line program in Python without spending hours doing it. Check out the Gooey package https://github.com/chriskiehl/Gooey
DeepL Translator uses convolutional neural networks built on the Linguee database to give high quality translation https://www.deepl.com/en/translator

If you have any feedback or cool resources, please share them in the comments!

A short list of Data Science resources

Nicolò Giso — Mon, 05 Nov 2018 20:03:50 +0000

In the last months I have been reading a ton of articles here, even if I am not a "full" developer. Indeed I am a data scientist.
Now, since I would like to contribute in a more active way, I think that a nice way to start may be a post with some resources that used lately, during my data science activity.

Without further ado, here it's the list:

If you are in the business of object detection but your pictures are not already labeled try LabelImg https://github.com/tzutalin/labelImg
https://www.any-api.com provides documentation and test consoles for over 500 public APIs. Just to name a few: NBA,Spotify, Gmail.
Tabular data are not always found in csv files. Sometimes you need to extract them from a pdf: check out camelot https://github.com/socialcopsdev/camelot
Nice blog post to use pandas at its best https://realpython.com/fast-flexible-pandas/

I hope that this links can be useful for someone else.
I gladly appreciate any feedback.

DEV Community: Nicolò Giso

A short list of Data Science resources #6

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A short list of Data Science resources #3

A short list of Data Science resources #2

A short list of Data Science resources