This course gives you an intuitive understanding of the eight most important machine learning algorithms. It helps you get started using them in your own projects NOW -- in a single line of Python code. After finishing this course, you'll be able to select, understand, and implement the top 8 machine learning algorithms in your own projects.

Learn the best-kept productivity secret of code masters and become a regular expression master too!

Prepare for your next coding interview and learn the basics of Python programming with 20 exercises from practical interviews, code wars, and University lectures.

You'll learn based on a proven three-step approach to increase your skill level.

1. Read over the exercise problem,
2. Implement your solution, and
3. Watch master coders explain their solutions in a short video tutorial.
4. Test your knowledge with a quiz

There's nothing like deliberate practice when mastering any field. This course will boost your general Python skill level, increase your chances of success in your next code interview, and sharpen your practical problem-solving ability.

The more problems you solve, the more will your skills improve.

Towards Python Mastery!

Who is this course for?

• Computer science students in their first 3 semesters.
• Python newbies and complete beginners.
• Programming intermediates who shift to Python from another programming language.
• Ambitious coders seeking to rock their next code interview.
• Engineers and knowledge workers who want to participate in the mega-trend Python.

Who this course is NOT for?

• Python masters who already know all the basics by heart.
• Advanced programmers who already "code in their dream jobs".
• Coders-by-duty who don't feel the rush of excitement when solving a problem and give up quickly.

This course is a collection of 35 hand selected Python exercises with solutions for beginners and advanced learners.

If you want to prepare for an exam or interview this is the course for you. But of course it will also help if you are just seeking to become a better coder.

Algorithmic thinking is an important skill which you can only learn by practice. You can read about all the theory and syntax of a language but still your brain needs practice. Therefore, I came up with this course to provide you with hand selected exercises and solutions so that you can hone your skills and develop your programmer mindset.

Practice all the Python basics:

• variables
• get user input
• type conversion
• loops
• logic operators
• arithmetic operators
• if statements
• functions
• built-in functions
• built-in data structures
• algorithmic thinking

This course also contains the source code solutions of all the exercises, so that you can compare your code with a professional's code.

Thereby, you will be able to hone your skills further and see how experienced coders solve the tasks.

"I Hate These Stupid Lambda Functions in Python!"

• Have you ever found yourself expressing emotional statements like this in regards to Python's lambda functions?
• Do you want to understand functional programming but you simply cannot wrap your head around the difficult syntax?
• Do you already know another programming language like Java, Javascript, or C++ but you suspect that every professional Python coder will quickly spot that you're not writing Pythonic code?

If you answered any of the previous questions with YES!, this course is for you.

Functional Programming == The Swiss-Army Knife of Python Programming

🔧🔨🪓🔪✂

Every master coder uses functional programming to code faster, smarter, and better.

Do you want to master Python? Take this deep dive and master Lambdas to write effective, functional, and Pythonic code!

How This Course is Organized

The first part of the course consists of 9 lessons. In each lesson, you will learn a piece of the theory of lambda functions in a video.

Each lesson ends with a quiz so that you can check if you understood the lesson.

In the second part it's your turn: In 5 practical exercises, you'll apply your learned knowledge and check your solution against the provided ones.

Table of Contents:

1. Overview
2. Applications min() and max()
3. Parameterless Lambdas
4. Map Function and Lambdas
5. Stacking Lambdas
6. The Filter Function
7. If-Else Loops
8. Customize Sort()

What Is A Lambda Function Anyways?

A lambda function is an anonymous function in Python. It starts with the keywordlambda, followed by a comma-separated list of zero or more arguments, followed by the colon and the return expression. For example, lambda x, y, z: x+y+z would calculate the sum of the three argument values x+y+z.

Well, take the course to find out! 😁

Python One-Liners will teach you how to read and write “one-liners”: concise statements of useful functionality packed into a single line of code. You'll learn

how to systematically unpack and understand any line of Python code, and write eloquent, powerfully compressed Python like an expert.

PyCharm is the most popular Python Development Environment (IDE). The community edition (CE) is available for free and can be downloaded at https://www.jetbrains.com/pycharm/.

PyCharm is so popular because of its extensive set of tools and the ease of use. Mastering it will enable you to develop, test and debug high-quality code fast and consistently.

This course contains 9 videos lessons with a total of around 90 minutes.

The following subjects are covered in the videos:

1. Basics
2. Practical Introduction to PyCharm
3. Installing PyCharm on Windows
4. Writing and Executing Code
5. Debugging
6. Testing
7. External Dependencies
8. Shortcuts and Tricks
9. Macros
10. . Conclusion