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Data Manipulation in Python - Master Python, NumPy, and Pandas [Video]

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50+ new titles added every month on new and emerging tech
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What do you get with a Packt Subscription?
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50+ new titles added every month on new and emerging tech
Early Access to eBooks as they are being written
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Customised display settings for better reading experience
50+ new titles added every month on new and emerging tech
Playlists, Notes and Bookmarks to easily manage your learning
Mobile App with offline access
What do you get with eBook?
Download this book in EPUB and PDF formats
Access this title in our online reader
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Online reader with customised display settings for better learning experience
What do you get with video?
Stream this video
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What do you get with Audiobook?
Download a zip folder consisting of audio files (in MP3 Format) along with supplementary PDF
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Flashcards, Mock exams, Exam Tips, Practice Questions
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  1. Free Chapter
    Python Quick Refresher (Optional)
About this video
Data science is quickly becoming one of the most promising careers in the twenty-first century. It is automated, program-driven, and analytical. As a result, it’s no surprise that the demand for data scientists has been expanding in the job market over the last few years. We will begin with a quick refresher on Python fundamentals for beginners in this course. This is optional; if you’re already familiar with Python, skip to the next chapter. Data science will be the topic of the next three sections. We will start with the essential Python libraries for data science, then go on to the fundamental NumPy properties, and lastly begin with mathematics and how to use it in data science. You will learn about Python Pandas DataFrames and series after learning about data science. Following that, we will get down to business and begin data cleaning. Following that, we will learn how to use Python to visualize data and do data analysis on some sample datasets. Finally, we will cover the Time series in Python and learn how to work with and convert datasets to Time series. By the end of this course, you will be able to execute data manipulation for data science in Python with ease. All the resources for this course are available at: https://github.com/PacktPublishing/Data-Manipulation-in-Python---Master-Python-NumPy-and-Pandas
Publication date:
May 2022
Publisher
Packt
Duration
3 hours 47 minutes
ISBN
9781804614396

 

Welcome to the course!

 

Introduction to Python

 

Setting up Python

 

What is Jupyter?

 

Anaconda Installation: Windows, Mac, and Ubuntu

 

How to Implement Python in Jupyter?

 

Managing Directories in Jupyter Notebook

 

Input/Output

 

Working with Different Datatypes

 

Variables

 

Arithmetic Operators

 

Comparison Operators

 

Logical Operators

 

Conditional Statements

 

Loops

 

Sequences: Lists

 

Sequences: Dictionaries

 

Sequences: Tuples

 

Functions: Built-in Functions

 

Functions: User-Defined Functions

About the Author
  • Meta Brains

    Meta Brains is a professional training brand developed by a team of software developers and finance professionals who have a passion for finance, coding, and Excel. They bring together both professional and educational experiences to create world-class training programs accessible to everyone. Currently, they are focused on the next great revolution in computing: the Metaverse. Their ultimate objective is to train the next generation of talent so that we can code and build the metaverse together!

    Browse publications by this author
Data Manipulation in Python - Master Python, NumPy, and Pandas [Video]
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