Essential of Statistics for Financial Analytics using Python
Python Crash Course
1
Arithmetic Operation in Python
Python Crash Course
This notebook will just go through the basic topics in order:
* Data types
* Numbers
* Strings
* Printing
* Lists
* Dictionaries
* Booleans
* Tuples
* Sets
* Comparison Operators
* if,elif, else Statements
* for Loops
* while Loops
* range()
* list comprehension
* functions
* lambda expressions
* map and filter
* methods
2
Variables and Strings in Python
3
print() function in Python
print() function and print() function with .format() function
4
"List" in python
"List" is very important in python particularly for data analytics. Try to get proper understanding of List.
5
"Dictionary" in Python
"Dictionary" in Python
6
"Booleans" in Python
7
"Tuples" in Python
8
"Set" in Python
9
Comparison Operators in Python
10
Logical Operator in Python
11
if, elif, else Statements
12
Quiz-1 on Crash Course on Python
13
"for" loop
Lesson on for Loop in Python
14
Quiz on "for" loop
15
"While" loop
Lesson on while Loop in Python
16
Quiz on "while" loop
17
"Function" in Python
Lesson on Functions in Python
18
Quiz on "function" in Python
19
Assignment-2 on Python Crash Course
NumPy
1
NumPy array in Python
Basics of NumPy array in Python
2
In-Depth: np.zeros and np.ones (NumPy array)
In-Depth: np.zeros and np.ones (NumPy array)
3
In-Depth: np.eye (NumPy array)
In-Depth: np.eye (NumPy array)
4
In-Depth: np.linspace (NumPy array)
In-Depth: np.linspace (NumPy array)
5
In-Depth: np.reshape (NumPy array)
In-Depth: np.reshape (NumPy array)
6
In-Depth: np.random.rand (NumPy array)
In-Depth: np.random.rand (NumPy array)
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