DS course Python for data analysis, June 2022

(*DS course, Data manipulation, analysis and visualisation in Python, Ugent, June 2022*) # DS course Python for data analysis, June 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 payt * Bart *Apu* ``` 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`,..._) ``` ******Matlab * R ** Python ** C * Fortran * Java ``` _!! Respond in between the triple ticks!!._ ## I have experience with the following programming languages: (*multiple answers are possible*) ``` ********Matlab ********Python *******LaTeX *Java *** R ** bash *** C * Fortran VBScript SQL ``` _!! Respond in between the triple ticks!!._ ## I currently create graphs mostly with... (_for example `plotly`, `gnuplot`, `excel`, `tableau`, `ggplot`, `matplotlib`, `bokeh`, `altair`, `matlab`,..._) ``` *******Excel **matplotlib ***matlab *R * ggplot *SPSS ``` _!! 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`,..._) ``` ****Python *******Excel **matlab **bash *R **SPSS ``` _!! Respond in between the triple ticks!!._ ## What I do like the most about Python, is... (_can be both technical and/or non-technical reasons_) ``` *******freeware ******relatively user friendly syntax ****reproducible graphs *basic syntax *****increasingly popular programming language in my research domain *fast ``` _!! 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_) ``` *** statistics *** seaborn **** matplotlib ** os * re ***** numpy **** pandas * glob * plotly * scipy ``` _!! Respond in between the triple ticks!!._ ## What I hope to learn this week... ``` How I can use Python for data manipulation and visualization in my research group ********* smooth data importation and visualisation ****** clean coding ****** visualization *** being more efficient with my code *** big data efficiency **** best practices ** better understanding of my errors ``` _!! Respond in between the triple ticks!!._

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