Problematic archetypes of a tech lead
How do you know when having a tech lead may be taking your organisation in the wrong direction? Let’s take a look at some of the archetypical tech leads, their pitfalls and ways to go about and deal with them.
How do you know when having a tech lead may be taking your organisation in the wrong direction? Let’s take a look at some of the archetypical tech leads, their pitfalls and ways to go about and deal with them.
In Clojure we can use the comp
function to create a new function based on multiple other functions. We create a new function by composing other functions. We can invoke the function that is returned from the comp
function with input arguments. These arguments are applied to the right most function that was used with comp
. Then the output of that function is the input for the next function.
In the following example code we see several usages of the comp
function. Also we see how the ordening of the functions can change the output:
In Clojure we can use the range
function to create a lazy sequence of numbers. We can optionally specify a start value, end value and define the steps between the numbers. If we use the end value argument that value is exclusive for the returned values in the lazy sequence.
In the following example we invoke the range
function with different arguments:
At the time of writing the coronavirus is raging the earth. Very soon after the outbreak, visualizations of both the virus and the effect of the disease started to appear everywhere. As I partially graduated in the subject of data visualization, I have always been interested in those graphs. Lately, I followed an introduction course to visualize data with D3.js. After I completed this course, I wanted to draw some meaningful graphics with this library. So follow along when I explain a little bit about D3 and then draw a simplified version of the coronavirus molecule.
The function fnil
can be used to create a new function from an existing function where we define default values for arguments that can be nil
. Especially when we want to use a function that we didn’t write ourselves this can be helpful to handle nil
values in a consistent way. We can prevent for example a NullPointerException
by setting a default value. We can define default values for a maximum of three arguments for the original function. When we invoke the function that is returned from the fnil
function any extra arguments after the first arguments are simply passed on to the original function.
In the following example code we define a new times
function based on the *
function. In the example we define a default value for the first three arguments.
Now it’s time for something completely different. Lately I’ve been watching some great videos from Matthew Perks, he has a YouTube channel called DIY Perks. This inspired me to pick up my own little project to create our own Magic Mirror.
Well, there is not so much magic going around here. A better name would be a Smart Mirror. Basically it is nothing more than a monitor behind a double-sided mirror, powered by for example a Raspberry Pi. A double-sided mirror is not a regular mirror, but it’s reflecting coating has about 70% reflection and 25% light transmission. So if you place the 'glass' on a dark surface, you would see just a mirror. When you however put a light source behind it, you’re able to see through it. If you put a black page on the monitor, add some widgets on them, they seem to be part of the mirror’s reflection. A Magic Mirror is a great and simple example of an 'internet of things' device.
Clojure has the partition
, partition-all
and partition-by
functions to transform a collection into a list of sequences with a (fixed) number of items. We can set the number of items in each sequence by providing a number as the first argument of the partition
and partition-all
functions. Any remainder elements are not in the resulting list of sequences when we use partition
, but are when we use partition-all
. We can also specify another collection to use values from to fill up the remainder as the third argument of the partition
function.
Optionally we can specify an offset step value as a second argument using both functions. This mean a new partition sequence will start based on stepping through the original collection with the given step value.
Finally we can use a function to define when a new partition must start with the partition-by
function. Every time the function returns a new value a new partition will begin.
In the following example Clojure code we use all three functions with all possible arguments:
If we want to know how often an item is part of a collection we can use the frequencies
function. This function returns a map where each entry has the item as key and the number of times it appears in the list as value.
In the following example Clojure code we use the frequencies
function:
To make an image linkable in Asciidoctor when formatted to HTML we must use the link
attribute when we use the image
macro. The value of the link
attribute is the address where the user goes when clicking on the image. We can also specify extra link attributes like window
to specify the target window for the link to open in.
In the following example we use the link
attribute for a block and inline image, with and without an extra window
attribute:
Sometimes we want to see if a string is part of another string. Or if the string value starts or ends with a certain string. In Clojure we can use the includes?
function from the clojure.string
namespace to check if a string is part of another string value. To see if a string starts with a certain value we can use the starts-with?
function from the clojure.string
namespace. And to check if a string ends with a given value we use ends-with?
from the same namespace.
In the next example code we use these functions and also add a matches?
function to check if a string matches with a regular expression defined in a string: