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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.
Metadata
Release files for xalgorithm 0.0.5
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| xalgorithm-0.0.5.tar.gz | 34.3 kB | Details |
Release files / xalgorithm-0.0.5.tar.gz
| Download URL | xalgorithm-0.0.5.tar.gz |
|---|---|
| Size | 34.3 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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