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The Python Programming Bundle: Pandas, OOP, and an Introduction

The Python Programming Bundle: Intro to Python, Pandas, and OOP
The Python Programming Bundle: Intro to Python, Pandas, and OOP

The Python Programming Bundle: Pandas, OOP, and an Introduction

Learn Python and the Pandas library to build a strong foundation in object-oriented programming.

What you’ll learn

The Python Programming Bundle: Pandas, OOP, and an Introduction

  • In Python, the fundamental data types are text, integers, floats, and booleans.
  • Python keywords and built-in functions
  • How to create your first Python script
  • How Python’s variables and functions operate as well as how to troubleshoot issues
  • How to utilize If-Else statements in your first Python script
  • It holds complicated data, such as dictionaries and lists.
  • The main topics are Python modules and their installation.
  • Finishing your first Python project after installing Python locally
  • Class hierarchies are created using the object-oriented design process and the object-oriented paradigm, respectively.
  • Know the difference between class methods, instance methods, and static methods, as well as between class variables, instance variables, and static methods.
  • Make an object comparable, callable, and indexable like lists and functions (like numbers).
  • Use Python’s features, like classes and inheritance, to write and run programs that solve hard problems.
  • An introduction to Pandas and how to install them on your PC
  • The two main Pandas data structures, Series and DataFrame, are used to view data that has been imported from another source and organize it using filters and indexes.
  • Use Pandas to style your data most effectively, handle duplicate rows and missing value issues, and analyze various sorts of data. 
    Data manipulation with date and time formats and string methods

Requirements

  • The Introduction to Python course doesn’t require any previous Python experience.
  • A mastery of the fundamentals of Python syntax is required for the Pandas course.
  • For the Object-Oriented Programming course, you need Python programming skills that range from beginner to advanced.
  • It helps to have access to Python software to follow along.

Description

This course package contains a Python project as well as instructor and exercise files that may be downloaded and used to work with. **

It’s time to learn Python if you need a better tool for managing data, and this incredible value three-course Python package is the ideal place to start.

Object-oriented programming is crucial in Python since every piece of code that uses Python interacts with objects and classes.

The Introduction to Python course makes no assumptions about your prior programming experience. It guides you through setting up and starting, and it includes practice activities and a final assignment to complete.

Pandas for Beginners assumes no prior knowledge of Pandas and will expose you to the fundamentals of data analysis. But because Pandas is a Python module, you need to know the basic syntax of Python, which you should learn in the first course.

You must be an intermediate Python programmer to get the most out of the OOP course.

What is contained?

Python: An Introduction

  1. In Python, the fundamental data types are text, integers, floats, and booleans.
  2. All about the built-in functions in Python
  3. How Python’s variables and functions operate
  4. How to fix Python errors
  5. Python keywords in general
  6. An Introduction to Python If-Else Statements
  7. It’s all about storing complicated data, such as dictionaries and lists.
  8. The main topics are Python modules and their installation.
  9. installation of Python locally.
  10. How to create your first Python script
  11. to finish your first Python project.

Programming with objects

  1. Class hierarchies are created using the object-oriented design process and the object-oriented paradigm, respectively.
  2. Know the difference between class methods, instance methods, and static methods, as well as between class variables, instance variables, and static methods.
  3. Make an object comparable, callable, and indexable like lists and functions (like numbers).
  4. Use Python’s features, like classes and inheritance, to write and run programs that solve hard problems.

Beginners Guide to Pandas:

  1. Pandas: A Quick Overview
  2. How to install Pandas on a PC
  3. Series and DataFrame, the two main Pandas data structures,
  4. viewing imported data from a third-party source
  5. indexing and filtering raw data to organize it
  6. Utilizing Pandas to prepare data
  7. addressing duplicate rows and missing data
  8. best data formatting practices
  9. processing several forms of data
  10. Using string functions for data processing
  11. Formatting dates and times

Who this course is for:

  • People who are interested in learning the Python programming language
  • For those who want to understand and use the Python Pandas library,
  • Python programmers who want to expand their skill set should study object-oriented programming.
  • Python users who are data analysts

The Python Programming Bundle: Pandas, OOP, and an Introduction

Numpy Pandas in Python from Scratch

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