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Home > Data > Data Analysis > Intro to NumPy
Intro to NumPy
Intro to NumPy

Intro to NumPy: Mastering Data Manipulation with NumPy

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Profile Icon ACI Learning Profile Icon Peter van Rysdam Profile Icon Cherokee Boose Profile Icon Justin Dennison
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R$49.99 R$1392.99
Video Jun 2024 4hrs 51mins 1st Edition
Video
R$49.99 R$1392.99
Subscription
Free Trial
Renews at R$50p/m
Arrow left icon
Profile Icon ACI Learning Profile Icon Peter van Rysdam Profile Icon Cherokee Boose Profile Icon Justin Dennison
Arrow right icon
R$49.99 R$1392.99
Video Jun 2024 4hrs 51mins 1st Edition
Video
R$49.99 R$1392.99
Subscription
Free Trial
Renews at R$50p/m
Video
R$49.99 R$1392.99
Subscription
Free Trial
Renews at R$50p/m

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Key benefits

  • Comprehensive coverage of NumPy basics and advanced operations
  • Practical exercises on data visualization and graphing
  • Hands-on project on time series analysis

Description

Embark on a foundational journey with NumPy, starting with an overview and setting up the scientific Python environment. This course refreshes Python basics using Jupyter notebooks, preparing you to explore NumPy arrays. Learn array creation, manipulation, and the various supported data types, building a strong foundation for complex operations. Progress through essential concepts like indexing, slicing, and the differences between copies and views of arrays. Discover the power of elementwise and broadcasting operations for efficient numerical computations. Engage in hands-on exercises in graphing and visualization to present your data effectively. Topics such as reduction, shape, and sort operations are covered in detail, equipping you to manipulate large datasets with ease. In the final section, delve into specialized topics like structured arrays and data type management, including casting and size considerations. The course culminates in a practical project on time series analysis, applying all the skills learned to real-world data. This project-based approach ensures you understand both the theoretical aspects and gain practical experience using NumPy for scientific computing and data analysis.

Who is this book for?

This course is designed for data scientists, engineers, and technical professionals with a basic understanding of Python. Prerequisites include familiarity with Python programming and an eagerness to learn about scientific computing and data manipulation.

What you will learn

  • Create and manipulate NumPy arrays
  • Perform elementwise and broadcasting operations
  • Implement data visualization techniques
  • Conduct time series analysis
  • Understand and apply reduction, shape, and sort operations

Product Details

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Publication date, Length, Edition, Language, ISBN-13
Publication date : Jun 13, 2024
Length: 4hrs 51mins
Edition : 1st
Language : English
ISBN-13 : 9781836208631
Category :
Data
Concepts :
Data Analysis
Tools :
NumPy

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Product Details

Publication date : Jun 13, 2024
Length: 4hrs 51mins
Edition : 1st
Language : English
ISBN-13 : 9781836208631
Category :
Data
Concepts :
Data Analysis
Tools :
NumPy

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Table of Contents

1 Chapters
NumPy Chevron down icon Chevron up icon
Overview
Scientific Python and Setup
Review of Python Basics with Jupyter
Introducing NumPy Arrays
NumPy Array and Data Types
Graphing and Visualization
Indexing and Slicing Arrays
Copies and Views
Elementwise and Broadcasting Operations
Reduction Operations
Shape and Sort Operations
Data Types: Casting, Size, and Structure
Structured Arrays
Let's Try It: Time Series Analysis

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About the 4 authors

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Profile icon ACI Learning
ACI Learning
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ACI Learning trains leaders in Cybersecurity, Audit, and Information Technology. Whether starting an IT career, mastering a profession, or developing a team, they provide essential support at every step.
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Profile icon Peter van Rysdam
Peter van Rysdam
Peter hosted the Technado Podcast from 2017 to 2022 and served as both a host and producer for ITProTV.
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Profile icon Cherokee Boose
Cherokee Boose
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Cherokee Boose started as a computer technician and moved to a network administrator role. Her love for learning is what pushed her towards a career in IT education. Certifications: MCSE Cloud Platform and Infrastructure; MCSA: Server 2012; MCT; MCP; MTA: Networking Fundamentals; MTA: Windows Operating System Fundamentals; Six Sigma Green Belt; CompTIA A+, A+ CE, Network+, CTT+, and Cloud+
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Profile icon Justin Dennison
Justin Dennison
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Justin leads AWS and developer content creation for ITProTV. He has experience in multiple programming languages. His certifications include AWS Certified Solutions Architect — Associate, AWS Certified Developer — Associate, AWS Certified Cloud Practitioner, Oracle Certified Associate, Java SE 7 Programmer.
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