Part 1 Today the puzzle got a bit trickier than Day 1. The submarine seems to already have a planned course (your puzzle input). You should probably figure out where it’s going. For example: forward 5 down 5 forward 8 up 3 down 8 forward 2 Your horizontal position and depth both start at 0.…
I’ve haven’t participated in the advent of code before. But always been curious. What is advent of code? It’s an advent Calendar for programmers. You get 25 challenges starting December 1st. Caveat: you have to solve the challenge to be eligible for the next day’s challenge 🙂
Primer: Arguments vs Parameters I’m sometimes confused. Is it an argument or a parameter? So here it goes: A parameter is a variable in a function definition. When a function is called, the arguments are the data you pass into the function’s parameters. The same goes for a program: A program has parameters, you call…
If you are new to Pandas feel free to read Introduction to Pandas I’ve assembled some pandas code snippets Reading Data Reading CSV import pandas as pd # read from csv df = pd.read_csv(“path_to_file”) Can also be textfiles. file suffix is ignored
Everything we did in the last articles of the series SQL-Tutorial was a dry run because we just used SQLFiddle. So let’s start with a real database like SQLite. SQLite is a file based DBRMS and can be used for e.g. web sites. The official docs say: “SQLite works great as the database engine for…
Installation To work with OpenCV from python, you need to install it first: pip install opencv-python Reading Images from file After we import cv2 we can directly work with images like so: import cv2 img = cv2.imread(“doc_brown.png”) For showing the image, it is recommended to use matplotlib import matplotlib.pyplot as plt img = cv2.cvtColor(img, cv2.COLOR_BGR2RGB)…
Since Python 3.6 there is neat way to put variables into string, called f-strings: name = “joern” age = “37” print(f”My name is {name} and I’m {age}”)
Numpy is a package for scientific computing in Python. It is blazing fast due to its implementation in C. It is often used together with pandas, matplotlib and Jupyter notebooks. Often these packages are referred to as the datascience stack. Installation You can install numpy via pip pip install numpy Basic Usage In the datascience…
Sometimes you want to make your python package usable for different situations, e.g. flask or bottle or django. If You want to minimize dependencies You can use an optional dependency in setup.py: extras_require={ ‘flask’: [‘Flask>=0.8’, ‘blinker>=1.1’] } Now you can install the library with: pip install raven[flask]
I got confused by all the buzzwords: data science, machine learning, deep learning, neural nets, artificial intelligence, big data, and so on and so on. As an engineer I like to put some structure to the chaos. Inspired by Roadmap: How to Learn Machine Learning in 6 Months and Tetiana Ivanova – How to become…