notes

Data Analysis:
->IBM Skill Build : matpotlib,
                    line graph,
                    pywaffle,
                    bar chart,
                    histogram,
                    pywaffle,
                    pie chart,
                    scatter plot,
                    Area plot,
                    folium,
DSH:
->03_introduction_to_probability:Scipy
DSA:
->Graphs= adjacency list graph,
          adjacency matrix graph,
          DFS,
          All paths from source to target,
          BFS,
->Binary Tree = binary tree creation,
                level order traversal,
                in-order traversal,
                pre-order traversal,
                post-order traversal,
                count_total nodes,
                sum of nodes,
                height of tree,
                diameter of tree,
->Binary Search Tree = Building Binary Search Tree,
                       Traversing Binary Search Tree,
file operations:
->one.py = read,
           write,
           open file,
->Twi.py = read binary file,
           write binary file,
           exception handling,
Statistics & Exploratory Data Analysis:
->pandas,
  numpy,
  jupiter notebook,
  matplotlib,
  Scikit learn,
01_one.py:
->strings
02_two.py:
->Numbers
->Sets
03_three.py:
->lists / Arrays
04_four.py:
->Dictionary
05_five.py:
->Tuples
06_six.py:
->if condition questions,
  input from user,
  string concatenation,
07_seven.py:
-> loop questions
08_eight.py:
-> experiment
09_nine.py:
-> functions (void&returning),
   lambda functions,
   *args,
   **args,
   yield,
->Recursive
10_ten.py:
->Object-oriented programming
->super(),
  __init__,
  class,
  private,
  getter method,
  encapsulation,
  inheritance,
->setter method,
  Polymorphism,
  class variables,
  static method,
->property decorator,
  Class inheritance & isinstance() Function
->Multiple inheritance
11_eleven.py:
->Decorators
12.twelve.py:
->Scopes,
  global keyword,
  clousor,