DS course Python for data analysis, December 2022

(*DS course, Data manipulation, analysis and visualisation in Python, UGent, December 2022*) # DS course Python for data analysis, December 2022 ## README first ------------- *do not change this section* ------------- For each of the following sections/questions, add your answer to the list. In case your answer is already enlisted by someone else, do NOT add the answer as a new item, but provide a `*` sign before the answer. As an example, suppose the question: *What's your favorite Simpson character*? and the current answers are: ``` * Lisa * Bart ``` and your answer would be *Bart*; the result after your edit will be: ``` * Lisa ** Bart ``` if your answer would be *Homer* instead; the result after your edit will be: ``` * Bart * Lisa * Homer ``` ___!! Respond in between the triple ticks!!.___ OK? Ready to go! ## I'm working with Python since 2022... (*respond with a `year`*) ``` * 2022 ** 2021 2020 * 2019 2018 * 2017 ** 2016 2015 2014 2013 <2012 ``` _!! Respond in between the triple ticks!!._ ## My first programming language was... (_for example `C`, `C++`, `Pascal`, `Go`, `R`, `Python`,..._) ``` ** Python * Java **** R ``` _!! Respond in between the triple ticks!!._ ## I have experience with the following programming languages: (*multiple answers are possible*) ``` **** Python * C * C++ ** R ``` _!! Respond in between the triple ticks!!._ ## I currently create graphs mostly with... (_for example `plotly`, `gnuplot`, `excel`, `tableau`, `ggplot`, `matplotlib`, `bokeh`, `altair`, `matlab`,..._) ``` ** matplotlib ** excel * ggplot * R ``` _!! Respond in between the triple ticks!!._ ## The size of data sets I'm typically working with are around... (*if lots of different data sets, pick those you want to handle in Python*) ``` < 1MB ** 1MB < . < 10MB 10MB < . < 100MB * 100MB < . < 1GB * 1GB < . < 10GB 10GB < . < 100GB 100GB < . < 1TB * > 1TB ``` _!! Respond in between the triple ticks!!._ ## Currently, I mainly do data manipulation with... (_for example `python`, `R`, `excel`, `SQL`, `bash`, `matlab`,..._) ``` *** Excel *** Python ``` _!! Respond in between the triple ticks!!._ ## What I do like the most about Python, is... (_can be both technical and/or non-technical reasons_) ``` *** It is user friendly and fast in use. ** Lot of documentation and lots of already asked questions on StackOverflow. ``` _!! Respond in between the triple ticks!!._ ## Python packages/modules I'm using a lot: (_hence, what you typical `import ...` to start with; multiple answers are possible_) ``` ** numpy ** matplotlib * scipy * geopandas ``` _!! Respond in between the triple ticks!!._ ## What I hope to learn this week... ``` *** Become familiar with Matplotlib ** Code more efficiently ``` _!! Respond in between the triple ticks!!._

Syntax	Example	Reference
# Header	Header	基本排版
- Unordered List	Unordered List
1. Ordered List	Ordered List
- [ ] Todo List	Todo List
> Blockquote	Blockquote
Bold font	Bold font
Italics font	Italics font
~~Strikethrough~~	~~Strikethrough~~
19^th^	19^th
H~2~O	H₂O
++Inserted text++	Inserted text
==Marked text==	Marked text
[link text](https:// "title")	Link
![image alt](https:// "title")	Image
`Code`	`Code`	在筆記中貼入程式碼
```javascript var i = 0; ```	`var i = 0;`
:smile:		Emoji list
{%youtube youtube_id %}	Externals
$L^aT_eX$	L^aT_eX
:::info This is a alert area. :::	This is a alert area.