When you finished reading part 1 of the introduction you might have wondered how to draw more than one line or curve into on plot. I will show you now. To make it a bit more interesting we generate two functions: sine and cosine. We generate our x-values with numpy’s linspace function import numpy as…
One of the things I always forget is date and time in Python. So message to myself: The strftime method is used for formatting (string_format_time) import datetime start_date = datetime.datetime.now() DATE_FORMAT = ‘%d/%m/%Y %H:%M’ print(start_date.strftime(DATE_FORMAT)) Her is a nice little Cheatsheet
Since Python 3.3 You can chain dictionaries which contain the same key in a prioritized order: from collections import ChainMap prio_1 = {“param_1”: “foo”} prio_2 = {“param_1”: “foobar”, “param_2”: “bar”} combined = ChainMap(prio_1, prio_2) print(combined[“param_1”]) # outputs ‘foo’ print(combined[“param_2”]) # outputs ‘bar’ The param_1 from the prio_1 dictionary is dominant, so it isn’t overwritten by…
<=> is the NULL-safe equals operator SELECT * FROM reports WHERE NOT driver <=> user_id
In my article My personal road map for learning data science in 2018 I wrote about how I try to tackle the data science knowledge sphere. Due to the fact that 2018 is slowly coming to an end I think it is time for a little wrap up. What are the things I learned about…
When you are working in an agile team e.g. Scrum you might have heard about the agile manifesto. Formulated in 2001 it influenced a lot of software developers and methodologies like Scrum. The Agile Manifesto consists of 4 values and 12 principles: Values Principles Our highest priority is to satisfy the customer through early and…
Big Data is a buzz word nowadays. But when is data “big data”?
In Regular Expressions Demystified I developed a little python package and distributed it via PyPi. I wanted to publish my second self-written package as well, but coming back after almost a year, some things have changed in the world of PyPi, i.e. the old tutorials aren’t working anymore. So I wrote this article to bring…
Overview matplotlib is the workhorse of data science visualization. The module pyplot gives us MATLAB like plots. You can install it via pip install matplotlib The most basic plot is done with the “plot”-function. It looks like this: import matplotlib.pyplot as plt plt.plot([0, 1, 2, 3], [0, 1, 2, 3]) plt.show() The plot function takes…
When you area already familiar with the basic plot from the introduction to matplotlib here is another type of plot used in data science. A very basic visualization is the scatter plot: import numpy as np import matplotlib.pyplot as plt N = 100 x = np.random.rand(N) y = np.random.rand(N) plt.scatter(x, y) plt.show() Color of the…