I found that many numerical and plotting python packages are useful for oceanographic Data analysis and visualization.

1. 1. Python is Interpreted − Python is processed at
runtime by the interpreter.
2. Python is Interactive − Python prompt and
interact
3. Python is Object-Oriented − Python supports
Object-Oriented.
4. Python is a Beginner's Language − Python is a
great language for the beginner-level programmers and
supports the development of a wide range of
applications
Python programming language

5. Python vs. MATLAB

6. Python basic library

9. Basic operation and symbol

11. Python control statement(if, while ,for )

12. Python data structure
Basic
1. List
2. Dictionary
3. Set
4. Tuple
Pandas
1. Data frame
2. Series
3. Panel
Numpy
1. Array 1D
2. 2D
3. 3D
4. N

13. Python list

14. List operation

15. Dictionary operation

16. Set

18. Keywords

19. symbol

23. Object oriented programming

25. Class
class Dog: # Class attribute species ='mammal
' # Initializer / Instance attributes
def __init__(self, name, age):
self.name =name
self.age = age
# instance method
def description(self): return "{} is {} years old".format(self.name, self.age)
# instance method
def speak(self, sound): return "{} says {}".format(self.name, sound)
# Child class (inherits from Dog class)
class RussellTerrier(Dog):
def run(self, speed): return "{} runs {}".format(self.name, speed)
# Child class (inherits from Dog class)
class Bulldog(Dog): def run(self, speed): return "{} runs {}".format(self.name, speed)
# Child classes inherit attributes and # behaviors from the parent class
jim =Bulldog("Jim", 12)
(jim.description()) # Child classes have specific attributes # and behaviors as well
(jim.run("slowly"))

26. MOST used scientific python library

29. Application of python in Oceanography
1. Oceanographic Database & Satellite data handling and manipulation
2. Mapping , Spatial Analysis and geospatial visualization
3 CTD data analysis / T-S diagrams / T/S profiles / T/S transects
4 .Empirical Orthogonal Functions (EOF)/ Canonical Correlation Analysis (CCA)
5 image processing
6 Principal Component Analysis
7 regional static and dynamic modelling
8. Predictive modelling
9. Web based modelling
10 GUI based works

30. Oceanographic python library
1. Xarray
2. Utide
3. Octant
4. Basemap , pysal
5. Python-ctd
6. Oceans
7. Pyroms
8. pyNGL
9. Seawater
10.Okean
11.Netcdf4
……
…
https://pyoceans.github.io/sea-py/

31. Present status