Introduction to PyCharm, Pylint, PyTest, and CVS

1

USING PYCHARM, PYLINT,

PYTEST, AND VCS TO DESIGN

A PROJECT PIPELINE

Antonio Luca Alfeo

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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

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INSTALLATION

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INSTALLATION 1/3

1. Install Git using only the default settings in the installation process

?

2. Install PyCharm

? Linux ->

? Windows ->

? MacOs ->

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INSTALLATION 2/3

During PyCharm installation enable ¡°open folder as project¡±

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