Udemy
  •  
  •  
  •  
  •  
  •  
  •  
  •  
  •  
  •  
  •  
  •  
  •  
  •  
Development
Web Development Data Science Mobile Development Programming Languages Game Development Database Design & Development Software Testing Software Engineering Development Tools No-Code Development
Business
Entrepreneurship Communications Management Sales Business Strategy Operations Project Management Business Law Business Analytics & Intelligence Human Resources Industry E-Commerce Media Real Estate Other Business
Finance & Accounting
Accounting & Bookkeeping Compliance Cryptocurrency & Blockchain Economics Finance Finance Cert & Exam Prep Financial Modeling & Analysis Investing & Trading Money Management Tools Taxes Other Finance & Accounting
IT & Software
IT Certification Network & Security Hardware Operating Systems Other IT & Software
Office Productivity
Microsoft Apple Google SAP Oracle Other Office Productivity
Personal Development
Personal Transformation Personal Productivity Leadership Career Development Parenting & Relationships Happiness Esoteric Practices Religion & Spirituality Personal Brand Building Creativity Influence Self Esteem & Confidence Stress Management Memory & Study Skills Motivation Other Personal Development
Design
Web Design Graphic Design & Illustration Design Tools User Experience Design Game Design Design Thinking 3D & Animation Fashion Design Architectural Design Interior Design Other Design
Marketing
Digital Marketing Search Engine Optimization Social Media Marketing Branding Marketing Fundamentals Marketing Analytics & Automation Public Relations Advertising Video & Mobile Marketing Content Marketing Growth Hacking Affiliate Marketing Product Marketing Other Marketing
Lifestyle
Arts & Crafts Beauty & Makeup Esoteric Practices Food & Beverage Gaming Home Improvement Pet Care & Training Travel Other Lifestyle
Photography & Video
Digital Photography Photography Portrait Photography Photography Tools Commercial Photography Video Design Other Photography & Video
Health & Fitness
Fitness General Health Sports Nutrition Yoga Mental Health Dieting Self Defense Safety & First Aid Dance Meditation Other Health & Fitness
Music
Instruments Music Production Music Fundamentals Vocal Music Techniques Music Software Other Music
Teaching & Academics
Engineering Humanities Math Science Online Education Social Science Language Teacher Training Test Prep Other Teaching & Academics
AWS Certification Microsoft Certification AWS Certified Solutions Architect - Associate AWS Certified Cloud Practitioner CompTIA A+ Cisco CCNA Amazon AWS CompTIA Security+ AWS Certified Developer - Associate
Graphic Design Photoshop Adobe Illustrator Drawing Digital Painting InDesign Character Design Canva Figure Drawing
Life Coach Training Neuro-Linguistic Programming Mindfulness Personal Development Meditation Personal Transformation Life Purpose Coaching Neuroscience
Web Development JavaScript React CSS Angular PHP WordPress Node.Js Python
Google Flutter Android Development iOS Development Swift React Native Dart Programming Language Mobile Development Kotlin SwiftUI
Digital Marketing Google Ads (Adwords) Social Media Marketing Google Ads (AdWords) Certification Marketing Strategy Internet Marketing YouTube Marketing Email Marketing Retargeting
SQL Microsoft Power BI Tableau Business Analysis Business Intelligence MySQL Data Analysis Data Modeling Big Data
Business Fundamentals Entrepreneurship Fundamentals Business Strategy Online Business Business Plan Startup Freelancing Blogging Home Business
Unity Game Development Fundamentals Unreal Engine C# 3D Game Development C++ 2D Game Development Unreal Engine Blueprints Blender
2020-12-12 11:44:17
30-Day Money-Back Guarantee

This course includes:

  • 30 mins on-demand video
  • 212 articles
  • 201 coding exercises
  • Full lifetime access
  • Access on mobile and TV
Development Programming Languages Python

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

Improve your Python programming skills and solve over 200 exercises!
Rating: 3.5 out of 53.5 (33 ratings)
2,592 students
Created by Paweł Krakowiak
Last updated 1/2021
English
English
30-Day Money-Back Guarantee

What you'll learn

  • solve over 200 exercises in Python
  • deal with real programming problems
  • work with documentation
  • guaranteed instructor support

Course content

37 sections • 219 lectures • 43m total length

  • Info
    00:16
  • Preview02:55
  • Preview03:47
  • Google Colab - Intro
    09:57
  • Preview04:07
  • Introduction to Spyder
    02:56
  • Anaconda installation - Linux
    04:40

  • A few words from the author
    00:20
  • Tip
    01:37

  • Introduction
    00:03

  • Exercise 1
    1 question
  • Solution 1
    00:00
  • Exercise 2
    1 question
  • Solution 2
    00:01
  • Exercise 3
    1 question
  • Solution 3
    00:02
  • Exercise 4
    1 question
  • Solution 4
    00:01
  • Exercise 5
    1 question
  • Solution 5
    00:01
  • Exercise 6
    1 question
  • Solution 6
    00:02
  • Exercise 7
    1 question
  • Solution 7
    00:01
  • Exercise 8
    1 question
  • Solution 8
    00:01
  • Exercise 9
    1 question
  • Solution 9
    00:02
  • Exercise 10
    1 question
  • Solution 10
    00:01

  • Exercise 1
    1 question
  • Solution 1
    00:02
  • Exercise 2
    1 question
  • Solution 2
    00:04
  • Exercise 3
    1 question
  • Solution 3
    00:03
  • Exercise 4
    1 question
  • Solution 4
    00:05
  • Exercise 5
    1 question
  • Solution 5
    00:07
  • Exercise 6
    1 question
  • Solution 6
    00:03
  • Exercise 7
    1 question
  • Solution 7
    00:06
  • Exercise 8
    1 question
  • Solution 8
    00:05
  • Exercise 9
    1 question
  • Solution 9
    00:07
  • Exercise 10
    1 question
  • Solution 10
    00:05
  • Exercise 11
    1 question
  • Solution 11
    00:04
  • Exercise 12
    1 question
  • Solution 12
    00:07

  • Exercise 1
    1 question
  • Solution 1
    00:00
  • Exercise 2
    1 question
  • Solution 2
    00:01
  • Exercise 3
    1 question
  • Solution 3
    00:03
  • Exercise 4
    1 question
  • Solution 4
    00:01

  • Exercise 1
    1 question
  • Solution 1
    00:01
  • Exercise 2
    1 question
  • Solution 2
    00:02
  • Exercise 3
    1 question
  • Solution 3
    00:01

  • Exercise 1
    1 question
  • Solution 1
    00:02
  • Exercise 2
    1 question
  • Solution 2
    00:02
  • Exercise 3
    1 question
  • Solution 3
    00:02
  • Exercise 4
    1 question
  • Solution 4
    00:02
  • Exercise 5
    1 question
  • Solution 5
    00:03
  • Exercise 6
    1 question
  • Solution 6
    00:02
  • Exercise 7
    1 question
  • Solution 7
    00:01
  • Exercise 8
    1 question
  • Solution 8
    00:01
  • Exercise 9
    1 question
  • Solution 9
    00:01
  • Exercise 10
    1 question
  • Solution 10
    00:01
  • Exercise 11
    1 question
  • Solution 11
    00:01
  • Exercise 12
    1 question
  • Solution 12
    00:00
  • Exercise 13
    1 question
  • Solution 13
    00:02
  • Exercise 14
    1 question
  • Solution 14
    00:00
  • Exercise 15
    1 question
  • Solution 15
    00:01

  • Intro
    00:01

  • Exercise 1
    1 question
  • Solution 1
    00:01
  • Exercise 2
    1 question
  • Solution 2
    00:06
  • Exercise 3
    1 question
  • Solution 3
    00:03
  • Exercise 4
    1 question
  • Solution 4
    00:03
  • Exercise 5
    1 question
  • Solution 5
    00:03

Requirements

  • basic knowledge of Python

Description

------------------------------------------------------------------------------

RECOMMENDED LEARNING PATH

------------------------------------------------------------------------------

  • 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

------------------------------------------------------------------------------

COURSE DESCRIPTION

------------------------------------------------------------------------------

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

Welcome to the course 200+ Exercises - Programming in Python - from A to Z, where you can test your Python programming skills.

The course is designed for people who have basic knowledge in Python. It consists of 200 exercises with solutions. This is a great test for people who are learning the Python language and are looking for new challenges. Exercises are also a good test before the interview.

If you're wondering if it's worth taking a step towards Python, don't hesitate any longer and take the challenge today.

Who this course is for:

  • people who want to improve their Python programming skills
  • people who want to prepare for an interview

Instructor

Paweł Krakowiak
Data Scientist, Securities Broker
Paweł Krakowiak
  • 4.6 Instructor Rating
  • 1,107 Reviews
  • 23,525 Students
  • 31 Courses

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.

  • Udemy for Business
  • Teach on Udemy
  • Get the app
  • About us
  • Contact us
  • Careers
  • Blog
  • Help and Support
  • Affiliate
  • Terms
  • Privacy policy
  • Cookie settings
  • Sitemap
  • Featured courses
Udemy
© 2021 Udemy, Inc.