PYTHON Programming Mastery - Englisch (eBook) kostenlos (Amazon.de)

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Are you tired of feeling stuck in your current career and want to improve your work-life balance?
Want to learn the world's most in-demand programming language, Python, but feel intimidated?

Look no further! “PYTHON Programming Mastery Unlock the Secrets of a High-Demand Skillset” offers an innovative approach based on synthesis, simplicity, and practicality. With a careful selection of topics and broken-down concepts, you can quickly learn as many subjects as possible.

In addition, all the outputs of the examples are provided immediately so you can test them directly on your computer. Whether you're a beginner or have some programming experience, this book is for you. It will help you finding your dream job by exposing you to new, high-paying jobs prospects!

Below are just a few topics you can find:

• Introduction to Python and its importance in modern programming:

- The list of reasons why Python is a popular programming language, such as its versatility and ease of use.
- How Python is used in various areas from web development to data analysis to machine learning.

• The basics of Python programming, including variables, data types, operators, and control structures:

- Variables and their use in Python.
- Different data types in Python, such as integers, strings, and Booleans.
- Control structures such as conditional statements and loops.

• Object-oriented programming (OOP) concepts in Python:

- OOP concepts such as classes, objects, inheritance, and polymorphism.
- Why OOP is used in Python and why it's beneficial.

• Handling exceptions and errors in Python:

- What exceptions and errors are in Python and how they can they occur?
- How to handle exceptions and errors using try-except blocks with detailed examples.

• Input and output operations in Python:

- How to read and write files using Python, with examples of reading and writing files and using standard input and output operations.

• How to use Python for web development, data analysis, and machine learning:

- How Python can be used in web development using frameworks such as Flask.
- How Python is used in data analysis using libraries such as NumPy and Pandas, and for machine learning using libraries such as Scikit-learn.

• Best practices for coding in Python:

- Coding style and standards in Python and how to apply them, such as using PEP 8 guidelines.
- Common tips and tricks for debugging in Python.