Introduction to PyCharm, Pylint, PyTest, and CVS
1
USING PYCHARM, PYLINT,
PYTEST, AND VCS TO DESIGN
A PROJECT PIPELINE
Antonio Luca Alfeo
2
OVERVIEW
1.
Installation
2.
Work with Pycharm projects
I.
Configure the interpreter
II.
Requirements management
III.
Project navigation and run
3.
Code quality checking
I.
Pylint
II.
Plugin installation and usage
4.
Code correctness checking
I.
Enabling and configuring Pytest in Pycharm
II.
Testing methods and usage
5.
Version Control on Pycharm
I.
Local history
II.
Connect to GitHub
III.
Github: share a project
IV.
Github: commit and push
V.
Github: clone a project
6.
Recap and more resources
7.
Exercise
8.
Python basics to design a structured project pipeline
I.
Tabular data with pandas.dataframes
II.
Dataframe manipulation
III.
Data segregation with Sklearn
IV.
Model hyperarametrization
V.
From JSON to Object
VI.
Performance evaluation
VII.
Model deployment
VIII.
Project profiling
9.
Recap and more resources
10.
Exercise
3
INSTALLATION
4
INSTALLATION 1/3
1. Install Git using only the default settings in the installation process
?
2. Install PyCharm
? Linux ->
? Windows ->
? MacOs ->
5
INSTALLATION 2/3
During PyCharm installation enable ¡°open folder as project¡±
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