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Lecture 11 Project Reservoir Eng application of Newton Raphson s | datascience | python

How to become a Petroleum Data Analytics Engineer | Python | Oilandgas | MachineLearning

Lecture 1 Newton Raphson s Method | Oil Gas Data Analysis using Python | Petroleum From Scratch

Lecture 2 Mini Project | Reservoir Engineering with Python | Klinkenberg Effect

Lecture 3 Mini Project | Data Analysis Visualization | Production Nodal Analysis | Python

Well Testing Web App for Reservoir Engineers | Python | Oilandgas

Lecture 4 Numpy 1 Introduction to Numpy | Data Analysis MachineLearning | Python

Lecture 5 Numpy 2 Array s Dimensions and Shape | Data Analysis MachineLearning | Python

Lecture 6 Numpy 3 Inbuilt Methods for generating Arrays | Data Analysis MachineLearning

Lecture 7 Numpy 4 Array Indexing 1 D arrays | Data Analysis MachineLearning | Python

Lecture 8 Numpy 5 Array Slicing 1 D arrays | Data Analysis MachineLearning | Python

Lecture 9 Numpy 6 Indexing for Higher dimensional Arrays | Data Analysis MachineLearning

Lecture 10 Numpy 7 Slicing Higher dimensional Array | Data Analysis MachineLearning | Python

Lecture 11 Numpy 8 Array Reshape | Data Analysis MachineLearning | Python

Lecture 12 Numpy 9 Random Numbers Generation Part 1 | Data Analysis MachineLearning | Python

Lecture 13 Numpy 10 Random Numbers Generation Part 2 | Data Analysis MachineLearning | Python

Lecture 14 Numpy 11 Numpy Functions 1 Arithmetic | Data Analysis MachineLearning | Python

Lecture 15 Numpy 12 Numpy Functions 2 All Functions | Data Analysis MachineLearning | Python

Lecture 16 Pandas 1 Introduction to Pandas Data Analysis and Manipulation | ML | Python

Lecture 17 Pandas 2 Introduction to Pandas s Data structures | ML | Python

Hands on Project Analyzing Practical Well Log Data Part 1

Hands on Project Darcy s Law for Reservoir Pressure Profiling with Python

Hands on Project Interactive GUI to understand Radial Steady state flow in Python

Lecture 18 Pandas 3 Reading CSV File of Production Data | ML | Python

Lecture 19 Pandas 4 Reading Crude Oil Price Data from HTML | ML | Python

Lecture 20 Pandas 5 Basic Functions | ML | Python

Lecture 21 Pandas 6 Descriptive Statistical Analysis of Data | ML | Python

Lecture 22 Pandas 7 Indexing and Accessing Columns from a Dataframe | ML | Python

All about Volve Field and Production Data | ML | Python

Lecture 23 Pandas 8 Volve field Production dataframe initial EDA | ML | Python

Lecture 24 Data Visualization 1 Relative Permeability Plots | ML | Python

Lecture 25 Data Visualization 2 Univariate Bivariate Statistical Plotting | ML | Python

Fractional Flow and Frontal Advancement APP with Python | Reservoir Engineering | Simulation

Petroleum Data Analytics Project based Mini Course | IFP School France | python | oilandgas |

Energy Data Science Journey

Lecture 1 Introduction to Python with Simple Computations Operators | oilandgas | datascience

Lecture 2 Variable Assignment in Python with Darcy s Law Example | oilandgas | datascience

Lecture 3 Input Statements f Strings in Python Darcy s Example | oilandgas | datascience

Lecture 4 Data Structures Strings Index Slice Reverse with Python | oilandgas | datascience

Lecture 5 Lists Concept of Mutability with Python | oilandgas | datascience

Lecture 6 Tuples Immutable Objects in Python | oilandgas | datascience

Cabinetry Basics

MFT and MFT related accessories

hinges workshops

CNC Computer numerical control

Jointing Systems

Cabinet tips

Festool Domino

Bandsaws

doors building

Communication Circuits Experiments

Experiments with PlutoSDR

Electric Motors

Energy Engineering

Digital Electronics

Engineering Hydrology

Engineering Mechanics