1. md converted thing.

    Published: Sat 19 December 2020
    By Alex

    In misc.

    import warnings
    warnings.filterwarnings('ignore')
    import pandas as pd
    from matplotlib import pyplot as plt
    from math import ceil
    
    VNR = 892
    
    def roundup(x):
        #  round up ticks to next hundred
        return int(ceil(x / 100.0)) * 100
    
    # inject input data as pd dataframes
    df = pd.read_csv(f"{VNR}_tsd_parameters.csv …
    read more
  2. Git

    Published: Fri 12 June 2020
    By Alex

    In misc.

    Intro

    To begin with you'll need to have a computer to store a folder with content (local repo). After you are happy with you content you can 'send' it to remote repo. Sometimes it is vice versa from remote you get some code into your computer. Anyway computer and github …

    read more
  3. FME & PythonCaller combo

    Published: Tue 07 April 2020
    By Alex

    In misc.

    FME & PythonCaller combo.

    The main goal with that article is justify my use of FME as valuable experience for becoming a Python developer.

    Shortly about FME (Feature Manipulation Engine)

    The main desktop application of Safe Software is FME Workbench. The inteface consist of, among other, canvas. Here user Alex graphically …

    read more
  4. How-to 1: Blogging using Pelican.

    Published: Sat 21 March 2020
    By Alex

    In misc.

    Create a blog on GitHub Pages with Pelican

    Steps to follow in order to publish the first page on my blog using static site generator - Pelican. This very first page took me many attempts and hours before I got this to work. The post you read is actually my second …

    read more
  5. Test.

    Published: Tue 02 February 1988
    By Alex

    In life.

    Topic

    Here is an example of how you can write Pelican blog using Jupyter Notebooks.

    Well you use markdown (.md), everything you need for writing in md is documented here github.

    maths

    In a Jupyter notebook, you can directly use LaTeX within Markdown cells. Here's version for Jupyter (psst no need for backslashes): $$ P(A|B) = \frac{P(B|A) \, P(A)}{P(B)} $$

    read more

« Page 4 / 4

links

social