Python interview Preparation with Certification

- Programming Fundamentals

- Python Basics

- Python Fundamentals

- Data Structures

- Object Oriented Programming with Python

- Functional Programming with Python

- Lambdas

- Decorators

- Generators

- Testing in Python

- Debugging

- Error Handling

- Regular Expressions

- Comprehensions

- Modules

- Virtual Environments

- Developer Environments (PyCharm, Jupyter Notebooks, VS Code, Sublime Text + more)

- File Processing: Image, CSV, PDFs, Text + more

- Web Development with Python

- Machine Learning with Python

- Data Science with Python

- Automation with Python and Selenium

- Scripting with Python

- Web Scraping with Python and BeautifulSoup

- Image Detection

- Data Visualizations

- Kaggle, Pandas, NumPy, scikit-learn

- Email and SMS with Python

- Working with APIs (Twitter Bot, Password Checker, Translator)

Strings

• ASCII, UNICODE, UTF-8, codepoints, escape sequences

• chr/ord(), literals

• indexing, slicing, immutability

• iterating through,

• concatenating, multiplying, comparing (against strings and numbers)

• in, not in

• .isxxx(), .join(), .split()

• .sort(), sorted(), .index(), .find(), .rfind()Learn Machine Learning with Python

Object-Oriented Programming

• ideas: class, object, property, method, encapsulation, inheritance, grammar vs class, superclass, subclass

• instance vs class variables: declaring, initializing

• __dict__ property (objects vs classes)
  private components (instance vs classes), name mangling

• methods: declaring, using, self parameter

• instrospection: hasattr() (objects vs classes), __name__, __module__, __bases__ properties

• inheritance: single, multiple, isinstance(), overriding, not is and is operators

• constructors: declaring and invoking

• polymorphism

• __name__, __module__, __bases__ properties, __str__() method
  multiple inheritance, diamonds