xalgorithm 0.0.5

My Data Structures and Algorithms Implemented in Python

My Implementation of Data Structure and Algorithms in Python

Build and Update Package

make upload version=a.b.c

Install This Package

pip install xalgorithm

List of Implementations

Xalgorithm Function	Effect
@tag_me	Tag each function with a label and access the function using that label
@print_me	Print the functon, its argument and result, helpful in debugging
@ctrl_c	Ask the user for confirmation to exit the program
@record_it	Measure either the execution time or the execution count of a function
opath	Return the absolute path, expanding any user shortcuts
ojoin	Join multiple path components and optionally creates the path if it doesn't exist
osimplify	Normalize a path
xprint	Print text in styled format, please see my changelog for detailed usages

Out Functon	Effect
make_classification	Generates a synthetic classification dataset
describe_df	Performs exploratory analysis on each feature
print_df	Print a pandas DataFrame with rich API
Benchmark	This class evaluates several well-known machine learning algorithms for a classification problem and provides multiple classification metrics for comparative analysis
%py_version	Print the current version of Python
%%csv	Parses the cell into a DataFrame and then prints the DataFrame to the console in the specified format (rich-format, plain-format, markdown-format)
%%time	Display the execution time of code within a cell in seconds

Ods Function	Effect
power_analysis	Calculate sample size for power analysis using effect size, significance, power, and population std
RFM	Segment and Target customers for personalized marketing strategies using Recency, Frequency, Monetary analysis
parse_vds	Download Youtube subtitles, see xalgorithm --help for guidance. The Spacy English pipeline can be optionally loaded to segment sentences within subtitle scripts

Array Algorithm	Definition
:white_large_square: Sliding Window
:white_check_mark: HuaRongDao	Solve a puzzle where the goal is to start from initial state and end in final state

Advanced Algorithms and Data Structures (La Rocca, M., 2021)

Topic	Note	Finish Date
Chp 2: d-way heaps	Priority Queue	:white_large_square:
Chp 2: huffman compression	xxxx	:white_large_square:

ChangeLog

All updates are tracked in this file.

Credits

To better prepare myself for the challenges of algorithmic problems, I have included code from Open Data Structures. I will probably to rewrite some functions to make them compatible with my project as I continue to read this book. I owe huge gratitude for their work in jumping start my learning journey.