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A comprehensive platform for Python training
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A comprehensive platform for Python training
saeidamiri1/python-training-platform
Home
Book
Book
Overview
Part I:
Part I:
Chapter 1: Primer
Chapter 1: Primer
Overview
-- Primer
-- Module
-- Scope and namespace
-- Editor
--
Challenges
Chapter 2: Computation
Chapter 2: Computation
Overview
-- Numpy
-- Scipy
--
Challenges
Chapter 3: Data analysis
Chapter 3: Data analysis
Overview
-- Panda
-- Working with time
-- Missing value
--
Challenges
Chapter 4: Visualization
Chapter 4: Visualization
Overview
-- Matplotlib
-- Seaborn
-- Plotnine
Part II:
Part II:
Chapter 5: Working with files
Chapter 5: Working with files
Overview
-- Text files
-- Storing objects
-- CSV
-- XLSX
--
Challenges
Chapter 6: OS
Chapter 6: OS
Overview
-- OS
-- Subprocess
-- Sys
--
Challenges
Chapter 7: Decorator
Chapter 7: Decorator
Overview
-- Decorator
Chapter 8: Class
Chapter 8: Class
Overview
-- Class
-- Inheritance
-- Operator_overloading
-- Class_as_decorators
--
Challenges
Part III:
Part III:
Chapter 9: Higher-order functions
Chapter 9: Higher-order functions
Overview
-- functools
-- itertools
Chapter 10: Multiprocessing
Chapter 10: Multiprocessing
Overview
-- Multiprocessing
-- Joblib
-- Threading
Chapter 11: Regex
Chapter 11: Regex
Overview
-- Regex
--
Challenges
Part IV:
Part IV:
Chapter 12: Testing and debugging
Chapter 12: Testing and debugging
Overview
-- Error handling
-- Loggin
-- Debugging
Chapter 13: Package
Chapter 13: Package
Overview
-- Package
-- Distribution
Python projects
Python projects
Overview
Montreal Crime Pattern.
Optimization
Workshop
Workshop
Part I:
Part I:
1 Starting with data
1 Exercise
2 Working with data
2 Exercise
3 Manipulating data frame
3 Exercise
Part II:
Part II:
4 Summarizing
1 Exercise
5 Merging data frame
5 Exercise
6 Visualization
6 Exercise
Concise notes
Concise notes
Cheat Sheet of python core, Numpy, and Panda
Cheat Sheet of Sklearn
Introductory Notes on plot
Archive
Archive
2024
Categories
Categories
Cheat Sheet
Dataframe
Notes
Numpy
Panda
Plot
Python core
Challenge
¶
Under construction
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