cpmath 0.1.14

Topic-wise practical code printer for PySpark, time series, MongoDB, PL, CloudSim, and more.

cpmath

This library exposes three main classes:

• DSTL
• PL
• DSA

Example:

from cpmath import DSTL, PL, DSA

dstl = DSTL()
pl = PL()
dsa = DSA()

dstl.listing()
dstl.time_series.show()
dstl.mongodb.instructions()

pl.listing()
pl.activation_functions.top()
pl.activation_functions.basic_activation_function_visualizer()
pl.cloudsim.instructions()
pl.cloudsim.priority_based_cloudlet_scheduling()
pl.cloud_apps.employee_record_management_system()

dsa.listing()
dsa.trees.avl_tree()
dsa.knapsack.knapsack_01()

Structure

• DSTL
  • pyspark
  • time_series
  • mongodb
• PL
  • activation_functions
  • neural_networks
  • fuzzy_logic
  • cloud_computing
  • cloud_apps
  • cloudsim
  • cloudlet
  • apex
• DSA
  • knapsack
  • trees
  • graphs
  • heaps

Each PL topic has:

• top() to print the related problem statements from PROBLEM STATEMENT.pdf
• topic-specific methods to print the matching code/content from Programming Lab Practice Programs.pdf

Each DSA topic has:

• Methods corresponding to specific practical implementations (e.g., avl_tree(), knapsack_01())

Extra helpers:

• listing() prints available groups or methods
• instructions() prints setup or run instructions where available

Notes:

• The library publishes as cpmath and supports from cpmath import DSTL, PL, DSA.
• Internally the packaged content is still sourced from the pysparke module tree.
• The library prints the extracted text as stored in the repo.
• Some PL content comes from OCR text extracted from PDF, so spacing/formatting may look imperfect.