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This course includes:

  • 28 mins on-demand video
  • 105 articles
  • 101 coding exercises
  • Full lifetime access
  • Access on mobile and TV

100+ Exercises - Unit tests in Python - unittest framework

Paweł Krakowiak via Udemy

(3 Reviews)

Overview

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RECOMMENDED LEARNING PATH

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  • 200+ Exercises - Programming in Python - from A to Z

  • 210+ Exercises - Python Standard Libraries - from A to Z

  • 150+ Exercises - Object Oriented Programming in Python - OOP

  • 100+ Exercises - Unit tests in Python - unittest framework

  • 100+ Exercises - Python Programming - Data Science - NumPy

  • 100+ Exercises - Python Programming - Data Science - Pandas

  • 100+ Exercises - Python - Data Science - scikit-learn

  • 250+ Exercises - Data Science Bootcamp in Python

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COURSE DESCRIPTION

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100+ Exercises - Unit tests in Python - unittest framework

Welcome to the course 100+ Exercises - Unit tests in Python - unittest framework, where you can check your programming skills in Python and unit testing. The course is designed for people who have basic knowledge in Python and unittest framework. It consists of over 100 exercises with solutions.

Unit testing is one of the most popular software testing methods today, so writing unit tests is a must-have skill for any software developer. This is a great test for people who want to become a Python Developer. Exercises are also a good test before the interview. If you're wondering if it's worth taking a step towards unit testing, don't hesitate any longer and take the challenge today.

Who this course is for:

  • students who want to learn unit testing
  • students who want to improve Python programming skills
  • students preparing for an interview

Course Content

16 sections - 111 lectures - 45:09 total length

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Instructor

Paweł Krakowiak

  • 4 Instructor Rating
  • 984 Reviews
  • 23167 Students

EN

Data Scientist/Python Developer/Securities Broker

Founder at e-smartdata[.]org.

A big fan of new technologies, especially in the areas of artificial intelligence, big data and cloud solutions.

A graduate of postgraduate studies at the Polish-Japanese Academy of Information Technology in the field of Computer Science in the Big Data specialization.

A graduate of Master's Degree in Financial and Actuarial Mathematics at the Faculty of Mathematics and Computer Science of the University of Lodz.

Stockbroker license holder with experience in teaching at a university.

Lecturer at the GPW Foundation (technical analysis, behavioral finance and portfolio management).

The main areas of interest are artificial intelligence, machine learning, deep learning and financial markets.

PL

Data Scientist, Securities Broker

Założyciel platformy e-smartdata[.]org

Miłośnik nowych technologii, szczególnie w obszarze sztucznej inteligencji, big data oraz rozwiązań chmurowych.

Absolwent podyplomowych studiów na Polsko-Japońskiej Akademii Technik Komputerowych na kierunku Informatyka, spec. Big Data.

Absolwent studiów magisterskich z matematyki finansowej i aktuarialnej na wydziale Matematyki i Informatyki Uniwersytetu Łódzkiego.

Od 2015 roku posiadacz licencji maklera papierów wartościowych z uprawnieniami do czynności doradztwa inwestycyjnego.

Wykładowca w Fundacji GPW prowadzący szkolenia dla inwestorów z zakresu analizy technicznej, finansów behawioralnych i zasad zarządzania portfelem instrumentów finansowych.

Z doświadczeniem w prowadzeniu zajęć dydaktycznych na wyższej uczelni z przedmiotów związanych z rachunkiem prawdopodobieństwa i statystyką.

Główne obszary zainteresowań to sztuczna inteligencja, uczenie maszynowe, uczenie głębokie i rynki finansowe.