Differences

This shows you the differences between two versions of the page.

Link to this comparison view

ewis:laboratoare:02 [2021/03/17 19:09]
alexandru.predescu [Functions]
ewis:laboratoare:02 [2023/03/15 17:40] (current)
alexandru.predescu [Data Structures]
Line 80: Line 80:
         new_list.append(new_elem)         new_list.append(new_elem)
         ​         ​
-    # same task with list comprehension +    # TODO: same task with list comprehension ​   ​
-    new_list = [(elem / s) for elem in v]+
     ​     ​
     return new_list     return new_list
Line 99: Line 98:
 <​note>​ <​note>​
  
-//​module1.py//​+**//​module1.py//​**
  
 <code python> <code python>
Line 106: Line 105:
 </​code>​ </​code>​
  
-//main.py//+**//main.py//**
  
 <code python> <code python>
Line 169: Line 168:
  
 <​note>​ <​note>​
-Create, access, check membership+**Create, access, check membership**
  
 <code python> <code python>
Line 184: Line 183:
 </​code>​ </​code>​
  
-Modify+**Modify**
  
 <code python> <code python>
Line 208: Line 207:
 </​code>​ </​code>​
  
-Operations (set theory)+**Operations (set theory)**
  
 <code python> <code python>
Line 279: Line 278:
 # looping through a dictionary: # looping through a dictionary:
 for key in d: for key in d:
- print(key) ​ # print only key +   print(key) ​ # print only key 
-    print(key, d[key]) ​ # print key and value d[key]+   ​print(key, d[key]) ​ # print key and value d[key]
  
  
Line 298: Line 297:
 else: else:
     print('​not found'​)     print('​not found'​)
 +
 +</​code>​
 +
 +<code python>
  
 # counting the number of times a letter appears in a string: # counting the number of times a letter appears in a string:
Line 328: Line 331:
 **Resources**:​ **Resources**:​
  
-https://www.youtube.com/watch?​v=WGlMlS_Yydk +  * [[http://mathworld.wolfram.com/L2-Norm.html|L^2-Norm]] 
- +  * [[http://​mathworld.wolfram.com/​StandardDeviation.html|Standard Deviation]] 
-http://​mathworld.wolfram.com/​L2-Norm.html+  * [[https://​www.youtube.com/​watch?​v=WGlMlS_Yydk|Apriori Algorithm (Associated Learning) - Fun and Easy Machine Learning]]
  
-http://​mathworld.wolfram.com/​StandardDeviation.html 
  
  
  
ewis/laboratoare/02.1616000968.txt.gz · Last modified: 2021/03/17 19:09 by alexandru.predescu
CC Attribution-Share Alike 3.0 Unported
www.chimeric.de Valid CSS Driven by DokuWiki do yourself a favour and use a real browser - get firefox!! Recent changes RSS feed Valid XHTML 1.0