symbolic name, add an explanation. Suppressing in this way has the advantage that we can easily search for suppres- sions and revisit them. You can get a list of pylint warnings by doing pylint --list-msgs communicate data between threads. Otherwise, use the threading module and its locking primitives. Learn about the proper use of condition variables so you can use threading.Condition instead of using lower-level better judgment for the insertion of spaces around arithmetic operators but always be consistent about whitespace on either side of a binary operator. Yes: x == 1 No: x<1 Don’t use spaces around the

cases, rules that are attributed to “Be Consistent” boil down to “Just pick one and stop worrying about it”; the potential value of allowing flexibility on these points is outweighed by the cost of having entire Google C++ community, not just your personal preferences or those of your team. Be skep- tical about and reluctant to use clever or unusual constructs: the absence of a prohibition is not the same as class template, prefer to #include its header file. Please see Names and Order of Includes for rules about when to #include a header. 5 Inline Functions Define functions inline only when they are small

Writing – 01 Introduction and Overview Matthias Boehm, Graz University of Technology, WS 2020/21 About Me  09/2018 TU Graz, Austria  BMK endowed chair for data management  Data management for data Alfons Kemper, Thomas Neumann, Andrew Pavlo, Peter A. Boncz: Everything You Always Wanted to Know About Compiled and Vectorized Queries But Were Afraid to Ask. PVLDB 11(13) 2018  #15.2 Prashanth Menon Storage Class Memory. SIGMOD 2016  #17.4 Changkyu Kim et al.: FAST: fast architecture sensitive tree search on modern CPUs and GPUs. SIGMOD 2010  #17.5 René Müller, Jens Teubner, Gustavo Alonso: Data Processing

uci.edu/ml/index.php  Florida Sparse Matrix Collection: https://sparse.tamu.edu/  Google dataset search: https://datasetsearch.research.google.com/  Common Datasets in ML: ImageNet, Mnist, CIFAR, KDD

Technology, WS 2021/22 Types of Reading  Skimming  Goal: understand what the paper/thesis is about  Read abstract, and optionally introduction scan paper (sections/subsections, structure, figures) Structure  #1 Partial Reading (mostly skimming)  Read into each paragraph until you get what it’s about  1st sentence/label: topic sentence  #2 Fast Reading  Normal reading vs reading w/o vocalization

throw readers out of their rhythm when they go to read it. Try to avoid this. OK, enough writing about writing code; the code itself is much more interesting. Have fun! References http://www.maths.lth