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Lynda Introduction to Data Analysis with Python

Lynda Introduction to Data Analysis with Python crack

If you're going to work with big data, you'll probably be using R or Python. And if you're using Python, you'll be definitely using Pandas and NumPy, the third-party packages designed specifically for data analysis. This course provides an opportunity to learn about them. Michele Vallisneri shows how to set up your analysis environment and provides a refresher on the basics of working with data containers in Python. Then he jumps into the big stuff: the power of arrays, indexing, and DataFrames in NumPy and Pandas. He also walks through two sample big-data projects: one using NumPy to analyze weather patterns and the other using Pandas to analyze the popularity of baby names over the last century. Challenges issued along the way help you practice what you've learned.

Topics include:
  • Writing and running Python in iPython
  • Using Python lists and dictionaries
  • Creating NumPy arrays
  • Indexing and slicing in NumPy
  • Downloading and parsing data files into NumPy and Pandas
  • Using multilevel series in Pandas
  • Aggregating data in Pandas

این دوره نحوه تحلیل داده ها با پایتون را آموزش می دهد. در این آموزش تصویری نحوه کار با داده های بزرگ با R یا Python ، استفاده از Pandas و NumPy ، کار با آرایه ها و نحوه استفاده از لیست ها در پایتون را می آموزید. در ادامه استفاده از شاخص چند سطحی در Pandas ،  نمایه سازی و DataFrames در Pandas و NumPy و تست برنامه را نیز خواهید آموخت.

این دوره آموزشی محصول موسسه Lynda است.

سرفصل های دوره:

  • نصب و راه اندازی پایتون
  • کار با Anaconda Python
  • نحوه اجرا پایتون
  • ارتقاء سطح داده ها
  • استفاده از لیست ها در پایتون
  • استفاده از لغت نامه
  • نحوه در حال بارگذاری فرهنگ لغت
  • کار با Anagrams
  • آشنایی با NumPy
  • ایجاد آرایه NumPy
  • نحوه محاسبات با آرایه
  • تجزیه فایل های داده ای
  • تجزیه و تحلیل درجه حرارت
  • یکپارچه سازی داده ها
  • محاسبه سوابق روزانه
  • آشنایی با Pandas
  • کار با DataFrames در pandas
  • استفاده از شاخص چند سطحی
  • بارگذاری مجموعه داده ها
  • کار با نام های fads
  • نحوه تست و اشکال زدایی برنامه
  • و…

عنوان دوره: Lynda Introduction to Data Analysis with Python
سطح: متوسط
مدت زمان: 2 ساعت و 16 دقیقه
نویسنده: Michele Vallisneri

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Categories: Tutorials
License: FULL CRACKED

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