Alston J. Misquitta's repositories
camcasp-bin
CamCASP binary repo
BubMask__Bubble_detector
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
GALAHAD_Optimization_library
A library of modern Fortran modules for nonlinear optimization
modern_fortran__csv-fortran
Read and Write CSV Files Using Modern Fortran
modern_fortran__neural-fortran
A parallel framework for deep learning
modern_fortran__tsunami
A parallel shallow water equations solver
modern_fortran__weather-buoys
Processing weather buoy data in parallel
python__data_analysis_and_visualisation__Rahul_Raoniar
Contains code and data for "The Researchers' Guide" Medium blogs
python__effective-pandas
Source code for my collection of articles on using pandas.
python__freecodecamp-intro-to-pandas
Python Pandas introduction.
python__freecodecamp_data-cleaning
Data cleaning
python__interactive-jupyterlab-tutorial
A quick tutorial on how to use Jupyter Lab (the evolution of Jupyter Notebooks).
python__milaan9__01_Python_Introduction
Learn the basics of Python. These tutorials are for Python beginners. so even if you have no prior knowledge of Python, you won’t face any difficulty understanding these tutorials.
python__milaan9__02_Python_Datatypes
Data types specify the different sizes and values that can be stored in the variable. For example, Python stores numbers, strings, and a list of values using different data types. Learn different types of Python data types along with their respective in-built functions and methods.
python__milaan9__03_Python_Flow_Control
Flow control is the order in which statements or blocks of code are executed at runtime based on a condition. Learn Conditional statements, Iterative statements, and Transfer statements
python__milaan9__04_Python_Functions
The function is a block of code defined with a name. We use functions whenever we need to perform the same task multiple times without writing the same code again. It can take arguments and returns the value.
python__milaan9__05_Python_Files
Python too supports file handling and allows users to handle files i.e., to read and write files, along with many other file handling options, to operate on files. The concept of file handling has stretched over various other languages, but the implementation is either complicated or lengthy, but like other concepts of Python, this concept here is
python__milaan9__06_Python_Object_Class
Object-oriented programming (OOP) is a method of structuring a program by bundling related properties and behaviors into individual objects. In this tutorial, you’ll learn the basics of object-oriented programming in Python.
python__milaan9__07_Python_Advanced_Topics
You'll learn about Iterators, Generators, Closure, Decorators, Property, and RegEx in detail with examples.
python__milaan9__09_Python_NumPy_Module
Numpy is a general-purpose array-processing package. It provides a high-performance multidimensional array object and tools for working with these arrays. It is the fundamental package for scientific computing with Python. Besides its obvious scientific uses, Numpy can also be used as an efficient multi-dimensional container of generic data.
python__milaan9__10_Python_Pandas_Module
Pandas is a high-level data manipulation tool developed by Wes McKinney. It is built on the Numpy package and its key data structure is called the DataFrame. DataFrames allow you to store and manipulate tabular data in rows of observations and columns of variables.
python__milaan9__11_Python_Matplotlib_Module
Matplotlib is an amazing visualization library in Python for 2D plots of arrays. Matplotlib is a multi-platform data visualization library built on NumPy arrays and designed to work with the broader SciPy stack. It was introduced by John Hunter in the year 2002. One of the greatest benefits of visualization is that it allows us visual access to hug
python__milaan9__12_Python_Seaborn_Module
Seaborn is one of the go-to tools for statistical data visualization in python. It has been actively developed since 2012 and in July 2018, the author released version 0.9. This version of Seaborn has several new plotting features, API changes and documentation updates which combine to enhance an already great library. This article will walk throug
python__pandas_exercises
Practice your pandas skills!
RALFit_NL_optimization_wt_Py
A non-linear least squares solver
SecondQuantization__Many-Body
Nuclear many-body course for 2018
spherical_tensors
Evaluate and transform D matrices, 3-j symbols, and (scalar or spin-weighted) spherical harmonics