Master Python by Coding 100 Practical Problems

Master Python by Coding 100 Practical Problems, available at $89.99, has an average rating of 4.49, with 211 lectures, 100 quizzes, based on 3540 reviews, and has 33414 subscribers.

You will learn about Solve 100 Python scored assignments ranging from beginner to expert levels. Know your Python skill level via the collected points. Solve assignments in many areas: data analysis, image processing, visualizations, web apps, and much more. Compare your solutions to the correct Python solutions for every exercise. You will have the Teacher’s Edition! You will know the category level of your Python programming skills by the end of the course. Have unlimited access to your instructor: Ardit Sulce This course is ideal for individuals who are People who know Python basics, but lack the confidence to solve coding problems on their own. It is particularly useful for People who know Python basics, but lack the confidence to solve coding problems on their own.

Enroll now: Master Python by Coding 100 Practical Problems

Summary

Title: Master Python by Coding 100 Practical Problems

Price: $89.99

Average Rating: 4.49

Number of Lectures: 211

Number of Quizzes: 100

Number of Published Lectures: 210

Number of Curriculum Items: 311

Number of Published Curriculum Objects: 210

Original Price: $24.99

Quality Status: approved

Status: Live

What You Will Learn

Solve 100 Python scored assignments ranging from beginner to expert levels.

Know your Python skill level via the collected points.

Solve assignments in many areas: data analysis, image processing, visualizations, web apps, and much more.

Compare your solutions to the correct Python solutions for every exercise. You will have the Teacher’s Edition!

You will know the category level of your Python programming skills by the end of the course.

Have unlimited access to your instructor: Ardit Sulce

Who Should Attend

People who know Python basics, but lack the confidence to solve coding problems on their own.

Target Audiences

People who know Python basics, but lack the confidence to solve coding problems on their own.

Unlike standard video courses that walk you through the learning process, in this course, you will learn and improve your Python skills by solving 100 different Python assignments on your own. The assignments range from easy to advanced and each assignment comes with the solution provided by the instructor so you can compare your code with that of the instructor.

The course works best for those who already know Python basics that are variables, basic data types, functions, loops, and conditionals. If you don’t know Python basics, please, take a Python for beginners course first. Besides the exercises, the course also contains short and to-the-point videos tackling key Python concepts related to the exercises.

The exercises become more difficult as you progress through the course. The topics that the problems cover vary widely. You will find problems such as simple password generators, removing duplicates, finding the smallest file, fixing bugs in existing programs, and even creating chatbots from scratch. The wide range of exercises helps to improve your Python skills in all important areas. 

This course will also increase your confidence when applying for jobs. The skills you learn in this class are common questions in programming job interviews. You will be prepared!

Course Curriculum

Chapter 1: Exercise 1 to 25

Lecture 1: Course Introduction

Lecture 2: Required Tools

Lecture 3: Best Practices

Lecture 4: Getting Help

Lecture 5: Exercise 1 – Variable Updating

Lecture 6: Exercise 1: Solution

Lecture 7: Exercise 2 – Naming Rules

Lecture 8: Exercise 2: Solution

Lecture 9: Tips

Lecture 10: Exercise 3 – Compare vs Assign

Lecture 11: Exercise 3: Solution

Lecture 12: Daily Python Projects

Lecture 13: Exercise 4 – TypeError

Lecture 14: Exercise 4: Solution

Lecture 15: Exercise 5 – Sequence Indexing

Lecture 16: Exercise 5: Solution

Lecture 17: Exercise 6 – Sequence Slicing

Lecture 18: Exercise 6: Solution

Lecture 19: Exercise 7 – Sequence Slicing

Lecture 20: Exercise 7: Solution

Lecture 21: Exercise 8 – Negative Indexing

Lecture 22: Exercise 8: Solution

Lecture 23: Exercise 9 – Negative Slicing

Lecture 24: Exercise 9: Solution

Lecture 25: Exercise 10 – Sequence Item Picking

Lecture 26: Exercise 10: Solution

Lecture 27: Continuing

Lecture 28: Exercise 11 – Ranges

Lecture 29: Exercise 11: Solution

Lecture 30: Exercise 12 – More Ranges

Lecture 31: Exercise 12: Solution

Lecture 32: Exercise 13 – Ranges of Strings

Lecture 33: Exercise 13: Solution

Lecture 34: Exercise 14 – Removing Duplicates

Lecture 35: Exercise 14: Solution

Lecture 36: Exercise 15 – Simple Dictionary

Lecture 37: Exercise 15: Solution

Lecture 38: Exercise 16 – Accessing Dictionary Items

Lecture 39: Exercise 16: Solution

Lecture 40: Exercise 17 – Dictionary Items Sum Up

Lecture 41: Exercise 17: Solution

Lecture 42: Exercise 18 – KeyError

Lecture 43: Exercise 18: Solution

Lecture 44: Exercise 19 – Add Dictionary Key

Lecture 45: Exercise 19: Solution

Lecture 46: Exercise 20 – Apply Function to Dictionary Items

Lecture 47: Exercise 20: Solution

Lecture 48: Exercise 21 – Dictionary Filtering

Lecture 49: Exercise 21: Solution

Lecture 50: Exercise 22 – Formatted Print

Lecture 51: Exercise 22: Solution

Lecture 52: Exercise 23 – Multilevel Indexing

Lecture 53: Exercise 23: Solution

Lecture 54: Exercise 24 – Iterate Dictionary

Lecture 55: Exercise 24: Solution

Lecture 56: Exercise 25 – Print Alphabet

Lecture 57: Exercise 25: Solution

Chapter 2: Exercise 26 to 50

Lecture 1: Exercise 26 – Print Range

Lecture 2: Exercise 26: Solution

Lecture 3: Exercise 27 – Acceleration Calculator

Lecture 4: Exercise 27: Solution

Lecture 5: Exercise 28 – TypeError

Lecture 6: Exercise 28: Solution

Lecture 7: Exercise 29 – Liquid Volume Calculator

Lecture 8: Exercise 29: Solution

Lecture 9: Exercise 30 – Arguments

Lecture 10: Exercise 30: Solution

Lecture 11: Exercise 31 – Function Blueprint

Lecture 12: Exercise 31: Solution

Lecture 13: Exercise 32 – Global Variables

Lecture 14: Exercise 32: Solution

Lecture 15: Exercise 33 – Local Variable

Lecture 16: Exercise 33: Solution

Lecture 17: Exercise 34 – Local Vs. Global Variables

Lecture 18: Exercise 34: Solution

Lecture 19: Exercise 35 – String Splitter

Lecture 20: Exercise 35: Solution

Lecture 21: Exercise 36 – Word Counter

Lecture 22: Exercise 36: Solution

Lecture 23: Exercise 37 – Advanced Word Counter

Lecture 24: Exercise 37: Solution

Lecture 25: Exercise 38 – NameError

Lecture 26: Exercise 38: Solution

Lecture 27: Exercise 39 – AttributeError

Lecture 28: Exercise 39: Solution

Lecture 29: Exercise 40 – TypeError

Lecture 30: Exercise 40: Solution

Lecture 31: Exercise 41 – Letters in File

Lecture 32: Exercise 41: Solution

Lecture 33: Exercise 42 – Iterating Multiple Sequences

Lecture 34: Exercise 42: Solution

Lecture 35: Exercise 43 – Letters Two by Two

Lecture 36: Exercise 43: Solution

Lecture 37: Exercise 44 – Letters Three by Three

Lecture 38: Exercise 44: Solution

Lecture 39: Exercise 45 – One File per Letter

Lecture 40: Exercise 45: Solution

Lecture 41: Exercise 46 – Letter Extractor

Instructors

Ardit Sulce
Python Programmer. Founder and Author, PythonHow.

Rating Distribution

1 stars: 57 votes

2 stars: 72 votes

3 stars: 409 votes

4 stars: 1326 votes

5 stars: 1676 votes

Frequently Asked Questions

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