1 USING PYCHARM, PYLINT, PYTEST, AND VCS TO DESIGN A PROJECT PIPELINE

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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

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

4.

Code correctness checking

9.

Recap and more resources

I.

Enabling and configuring Pytest in Pycharm

II.

Testing methods and usage

10. Exercise

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

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INSTALLATION

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INSTALLATION 1/3

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

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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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