Udemyintermediatezh

Python数据分析与科学计算基础篇:NumPy图解,使抽象的数据具象为可触摸的图形

Learn NumPy with visual explanations! Master high-dimensional array operations easily. Understand complex concepts with clear diagrams. Perfect for data science & Python users.

Related:PandasNumPy
3.8(10)
59students
8h 29m
Certificate
东升 关
东升 关技术专家,技术顾问,技术图书作家,金牌讲师

Course Content

Python数据分析与科学计算基础篇:NumPy图解,使抽象的数据具象为可触摸的图形 is an intermediate-level Udemy course taught by 东升 关. It runs 8h 29m, is taught in Chinese, and includes a certificate of completion. Learners rate it 3.8 out of 5 from 10 reviews, with 59 students enrolled. It is a paid course, first published April 2019.

Learn the fundamentals of NumPy, a powerful Python library for numerical computing! This course provides a comprehensive guide to mastering NumPy arrays and their operations.

Here's what you'll discover:

  • NumPy Introduction: Understand what NumPy is and why it's essential for scientific computing, data analysis, and machine learning.
  • Setting Up Your Environment: Get started quickly by learning how to install NumPy and related libraries. We'll also cover installing Anaconda and popular development tools like IPython shell, Jupyter Notebook, and Spyder for efficient coding.
  • Writing NumPy Programs: Learn to create and manipulate one-dimensional arrays and explore various NumPy data types.
  • Working with 2D Arrays: Master the creation of two-dimensional arrays, learn how to reshape them, understand array attributes, and explore array axes and transposing arrays.
  • Array Access Techniques: Develop proficiency in accessing array elements using indexing, slicing, boolean indexing, fancy indexing, and iterating through arrays.
  • Array Operations: Perform essential array operations like concatenation, splitting, arithmetic calculations, and leverage broadcasting for efficient computations.
  • Universal Functions (ufuncs): Utilize a wide range of mathematical functions and learn how to create your own custom universal functions for specialized array operations.
  • Advanced Functions: Explore powerful functions for generating random numbers, sorting arrays, applying aggregation functions, finding unique values, and using the where function for conditional operations.
  • Linear Algebra with NumPy: Dive into linear algebra concepts with NumPy, including matrix dot products, determinant calculations, and finding matrix inverses.
  • Multidimensional Arrays: Learn to create and access elements within high-dimensional arrays, expanding your capabilities for complex data representation.
  • Saving and Loading Arrays: Discover how to efficiently save NumPy arrays to files and read them back for data persistence and reuse.

This course equips you with the skills to effectively use NumPy for a wide variety of numerical tasks in Python.

$ whoami — the devs behind tutorialsearch.io

Want AI in your product? Hire the team behind TutorialSearch.io

LLM features, RAG, agents and automation wired into a real product — built by the devs who shipped this site.

Start a project