HOME > IT & Software > Learn Python By Solving 100+ Challenges

Learn Python By Solving 100+ Challenges

SynopsisLearn Python By Solving 100+ Challenges, available at $59.99,...
Learn Python By Solving 100+ Challenges  No.1

Learn Python By Solving 100+ Challenges, available at $59.99, has an average rating of 4.45, with 105 lectures, based on 26 reviews, and has 225 subscribers.

You will learn about Solve over 100 Python exercices from beginner level to expert levels. How to solve coding problems similar to job interview problems. Create a good foundation of elementary things in Python what you will use in everyday programming. Projects sections that can be added to a portofolio for developer jobs applications. This course is ideal for individuals who are This course is for Python beginners that want to learn with hands on problems rather than long theory classes. or People that maybe know the Python basics but lack the problem solving skills.(all theory required to solve the problems will be in lessons) It is particularly useful for This course is for Python beginners that want to learn with hands on problems rather than long theory classes. or People that maybe know the Python basics but lack the problem solving skills.(all theory required to solve the problems will be in lessons).

Enroll now: Learn Python By Solving 100+ Challenges

Summary

Title: Learn Python By Solving 100+ Challenges

Price: $59.99

Average Rating: 4.45

Number of Lectures: 105

Number of Published Lectures: 105

Number of Curriculum Items: 105

Number of Published Curriculum Objects: 105

Original Price: $29.99

Quality Status: approved

Status: Live

What You Will Learn

  • Solve over 100 Python exercices from beginner level to expert levels.
  • How to solve coding problems similar to job interview problems.
  • Create a good foundation of elementary things in Python what you will use in everyday programming.
  • Projects sections that can be added to a portofolio for developer jobs applications.
  • Who Should Attend

  • This course is for Python beginners that want to learn with hands on problems rather than long theory classes.
  • People that maybe know the Python basics but lack the problem solving skills.(all theory required to solve the problems will be in lessons)
  • Target Audiences

  • This course is for Python beginners that want to learn with hands on problems rather than long theory classes.
  • People that maybe know the Python basics but lack the problem solving skills.(all theory required to solve the problems will be in lessons)
  • This is not a standard video course teaching you hours of theory that you might forget a few months later. This course aims to teach through practice, problems to cover all the basics of Python and to put you on course to become a Python developer. Each problem we solve will have 3 steps: Do it yourself, where you attempt or solve the problem. This is the most important part of the 3 step process because once you use your brainpower to solve it, you put some effort into finding a way to solve it, it will stay with you forever and you will be more likely to be able to solve similar problems even harder. Idea, is the step where l come to help to give you some clues of how it needs to be done and what are the mechanisms behind solving it efficiently. Code, the step where l write the code to solve it and l explain step by step how it works.

    No previous experience is required as all the theory is covered for each chapter. If you never experienced programming before this is the chance to start it in a stimulating and exciting way. If you are already familiar with the basics then this course can be a refresh, a place where to test your knowledge.

    The course is still in development, next chapters will be added soon.

    Course Curriculum

    Chapter 1: Setup

    Lecture 1: Welcome

    Lecture 2: Install Python

    Lecture 3: Install Visual Studio Code

    Lecture 4: Setup our working enviroment

    Lecture 5: Resources

    Lecture 6: Where to get help

    Chapter 2: Introduction

    Lecture 1: Introduction – Print

    Lecture 2: Introduction – Operations

    Lecture 3: Introduction – Variables

    Lecture 4: Introduction – Data Types

    Lecture 5: Introduction – Input

    Lecture 6: Exercise 1 – Hello.py

    Lecture 7: Exercise 2 – Area of a surface.py

    Lecture 8: Exercise 3 – Age in 5 years.py

    Lecture 9: Exercise 4 – Converter Calculator.py

    Lecture 10: Exercise 5 – How many can you fit.py

    Lecture 11: Exercise 6 – Savings account.py

    Lecture 12: Exercise 8 – Sum of digits.py

    Lecture 13: Exercise 7 – Grand Total.py

    Lecture 14: Exercise 9 – Self Checkout.py

    Lecture 15: Exercise 10 – Where is it from.py

    Lecture 16: Exercise 11 – How many letters.py

    Lecture 17: Exercise 12 – Distance on Earth.py

    Chapter 3: Decision Making

    Lecture 1: Introduction

    Lecture 2: Exercise 13 – Biggest number.py

    Lecture 3: Exercise 14 – Odd or Even.py

    Lecture 4: Exercise 15 – Is it between.py

    Lecture 5: Exercise 16 – Leap year.py

    Lecture 6: Exercise 17 – Make your choice.py

    Lecture 7: Exercise 18 – Triangles.py

    Lecture 8: Exercise 19 – Is it a holiday.py

    Lecture 9: Exercise 20 – Astrological sign.py

    Lecture 10: Exercise 21 – Will you get a raise.py

    Lecture 11: Exercise 22 – Overcharged.py

    Lecture 12: Exercise 23 – Next day.py

    Lecture 13: Exercise 24 – Black or White.py

    Chapter 4: Loops

    Lecture 1: Introduction

    Lecture 2: Exercise 25 – Name name name.py

    Lecture 3: Exercise 26 – N a m e n a m e n a m e.py

    Lecture 4: Exercise 27 – Total.py

    Lecture 5: Exercise 28 – Conversion Table.py

    Lecture 6: Exercise 29 – One million chronometer.py

    Lecture 7: Exercise 30 – Binary to decimal.py

    Lecture 8: Exercise 31 – Palindrome.py

    Lecture 9: Exercise 32 – Random – Random number.py

    Lecture 10: Exercise 33 – Random – What to eat.py

    Lecture 11: Exercise 34 – Random – Coin flip 1.0.py

    Lecture 12: Exercise 35 – Random – Test.py

    Lecture 13: Exercise 36 – Find that number.py

    Lecture 14: Exercise 37 – Game developer.py

    Lecture 15: Exercise 38 – Polygon perimeter.py

    Lecture 16: Exercise 39 – 10 elephants.py

    Lecture 17: Exercise 40 – Coin flip 2.0.py

    Chapter 5: Functions

    Lecture 1: Introduction

    Lecture 2: Exercise 41-61 – Revision.py Introduction

    Lecture 3: Exercise 41-61 – Revision.py Decision Making

    Lecture 4: Exercise 41-61 – Revision.py Loops

    Lecture 5: Exercise 62 – Is it prime.py

    Lecture 6: Exercise 63 – Next prime.py

    Lecture 7: Exercise 64 – 3 numbers.py

    Lecture 8: Exercise 65 – Online Shipping.py

    Lecture 9: Exercise 66 – Days this month.py

    Lecture 10: Exercise 67 – Counting letters.py

    Lecture 11: Exercise 68 – Perfect.py

    Lecture 12: Exercise 69 – Password generator.py

    Lecture 13: Exercise 70 – Strong password.py

    Lecture 14: Exercise 71 – Calculator.py

    Chapter 6: Projects

    Lecture 1: Exercise 72 – FizzBuzz.py

    Lecture 2: Exercise 73 – Multiplication Table.py

    Lecture 3: Exercise 74 – Pig latin.py

    Lecture 4: Exercise 75 – Max.py

    Lecture 5: Exercise 76 – Gregorian to Ordinal.py

    Lecture 6: Exercise 77 – Cipher.py

    Lecture 7: Exercise 78 – Vending machine.py

    Lecture 8: Exercise 79 – Return policy.py

    Lecture 9: Exercise 80 – Base conversion.py

    Chapter 7: Lists

    Lecture 1: Introduction

    Lecture 2: Exercise 81 – First list.py

    Lecture 3: Exercise 82 – Sorting.py

    Lecture 4: Exercise 83 – No duplicates.py

    Lecture 5: Exercise 84 – Alphabet.py

    Lecture 6: Exercise 85 – Lottery.py

    Lecture 7: Exercise 86 – How many attempts.py

    Lecture 8: Exercise 87 – Remove extremes.py

    Lecture 9: Exercise 88 – Just the words.py

    Lecture 10: Exercise 89 – Palindromes, again.py

    Lecture 11: Exercise 90 – Manipulation.py

    Lecture 12: Exercise 91 – All sublists.py

    Lecture 13: Exercise 92 – Let s play a game.py

    Chapter 8: Dictionaries

    Lecture 1: Introduction

    Lecture 2: Exercise 93 – Name and age.py

    Lecture 3: Exercise 94 – Power.py

    Instructors

  • Learn Python By Solving 100+ Challenges  No.2
    Anton Cristian
    Software Developer
  • Rating Distribution

  • 1 stars: 0 votes
  • 2 stars: 0 votes
  • 3 stars: 4 votes
  • 4 stars: 6 votes
  • 5 stars: 16 votes
  • Frequently Asked Questions

    How long do I have access to the course materials?

    You can view and review the lecture materials indefinitely, like an on-demand channel.

    Can I take my courses with me wherever I go?

    Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!