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Python Course | Continuing Education | Classes in Montreal, Quebec

Classes in: Online course, virtual classroom (remote), Montreal, Gatineau, Quebec, at your offices

This Python 3 course is intended for any IT professional, or even self-taught who wants to master Python. At the end of this course, participants will have the basic fundamentals of algorithmic and Python programming and a good idea of everything Python 3 can do.

In this Python formation, we begin by discovering the basic objects (numerical variables, text, ..). Then we assemble them into data structures. Then, we work with these structures: controls, loops and other operations. By combining everything, we create a custom function that can be invoked.
Object-oriented programming will be discussed in depth later.

Course details

Introduction to Python Course

Create your first Python script

 

Python Syntax

Types and assignment
Calculations, operations
Comments in python
Inputs / outputs
Pass, while, for statements
Range function
Strings
Functions and predefined functions
Files-open a file
Files-Read / Write a file

Practical workshop: Multiple examples

 

Error handling / Exception

Know the errors
Lift exceptions
Management with try / except

 

Master the data structures

The lists
The dictionaries
The tuples
Use slices
The enumerate () function
The items () method

Practical Workshop: List as Stack, List as Queue

 

Modules and Packages

Standard modules
Creating a module
Import a module
Create a Package
Create an executable file

Practical workshop: Writing and testing a module

 

The basics of the object in Python

Create a first class
encapsulation
Special methods
Function with variable arguments
Errors and Exceptions

Hands-on workshop: creating classes and getting in touch

 

Database

Install a driver
Insert, delete, modify data in database

Practical Workshop: Application with SQLite

Autre(s) cours dans cette catégorie

→ R Language Course: RStudio, Reporting

→ Python Training for Data Science | scientific python

→ Python Training – Data Science (Numpy Pandas Matplotlib)


Benefits:

  • A course material for each participant
  • Support of the trainer after the training
  • We offer you in public session:
    • Tea, coffee
    • Parking (only in some cities)
    • Wireless internet connection

Préalables :

  • Good knowledge of the computer tool

Objectifs :

  • Take in hand and write Python code
  • Know the standard modules
  • Being able to create to organize its code in the form of module and package
  • Structure its code in the form of modules
  • Access file and DBMS data

Montréal :

Québec :

Gatineau / Ottawa :

Moncton :

Classe virtuelle (en ligne) :

Preferential*

1019 $

per participant

Duration :3 day(s), is 21 hours.
Hours: 9 am-5pm, 2 coffee breaks.

See the lesson plan in PDF

Locations: Montreal, Gatineau / Ottawa, Quebec City.

See customer reviews

Regular price: 1199 $

*The preferential rate applies if you register at least two participants in the same session.

Rate Python Course | Continuing Education | Classes in Montreal, Quebec

Interested in this training?

Also available in private session.
offer is valid from 01/01/2024.

Free and non-binding quote

Image pour illustrer Formation en ligne

Formation en ligne

Vidéos de formations sur les logiciels en bureautique

“ I want to thank you both for providing my resources some excellent training(Cobol) over the past 3 days. Mamadou, thank you for being so accommodating on such short notice and for sending your facilitator to Gatineau for this customised and personalised training course. We’ll look forward to continuing our partnership for future training needs. “

“J’ai grandement apprécié les méthodes d’enseignement du prof. Le fait que nous soyons un petit groupe a grandement facilité les apprentissages. Il s’adapte à son audience et les exercices sont formateurs. Je recommande fortement. “

“ Ce fut un plaisir de faire affaires avec Doussou Formation. Ce qui fait LA différence est le service personnalisé totalement à l'écoute des participants ainsi que l'adaptation aux besoins de formation. Flexibilité / Adaptabilité / Professionnalisme / Courtoisie. Merci!“