Boost your Python skills by solving 100 Python assignments ranging from easy to expert levels. Solutions included!
Created by: Ardit Sulce
Produced in 2021
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
Overall Score : 86 / 100
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The course works best for those people who already know Python basics such as variables, functions, and loops. If you don't know Python basics, please, take a Python beginners course first. This course is also suitable for intermediate Python programmers because the exercises range from easy to difficult progressively.
As you advance in the course, you will solve 100 Python assignments. After each assignment, you can see the assignment solution and its explanation. This "answer key" helps you test your solution and learn new skills by examining the instructor's solution.
Each exercise is scored, so at the course's end you will have a "total points" number that reports at whichlt Python Skills' Category Level you are. The "100 Exercises" challenge you: to build specific programs for particular actions; to fix bugs in existing programs; and uto make improvements to existing code. The variety of exercises ensures your ability to manage comfortably different real-world programming scenarios.
This course will also exponentially 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!Who this course is for:
- People who know Python basics, but lack the confidence to solve coding problems on their own.
Hi, I am Ardit! I am a Python programmer and a Python teacher. I have worked with companies from all over the world both as an employee and as self-employed using Python as both a data science tool and as a language to develop applications. Some of the projects I have worked on have been using Python together with the Center for Conservation Geography to map and understand the Australian ecosystems, processing drone land images with the Swiss in-Terra, and performing data mining to gain business insights with the Australian Rapid Intelligence.
The vast range of things you can do with Python is just mindblowing. I have used that experience to teach Python to others from all over the world. I especially take care to explain the programming concepts always assuming my students don't have a computer science background. Indeed, you don't need a computer science degree to become a programmer. I was graduated with a Master of Science in Geospatial Technologies from the University of Muenster in Germany.
I am also the founder and author of PythonHow, a Python learning resource designed particularly for people with no previous programming experience. Try out my and you will be on for a very interesting ride.
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