In this chapter, you'll learn how to import data into Python from all types of flat files, which are a simple and prevalent form of data storage. You've previously learned how to use NumPy and pandas—you will learn how to use these packages to import flat files and customize your imports.

Welcome to the course!

Importing entire text files

Importing text files line by line

The importance of flat files in data science

Pop quiz: what exactly are flat files?

Why we like flat files and the Zen of Python

Importing flat files using NumPy

Using NumPy to import flat files

Customizing your NumPy import

Importing different datatypes

Importing flat files using pandas

Using pandas to import flat files as DataFrames (1)

Using pandas to import flat files as DataFrames (2)

Customizing your pandas import

Final thoughts on data import

Introduction and flat files

You've learned how to import flat files, but there are many other file types you will potentially have to work with as a data scientist. In this chapter, you'll learn how to import data into Python from a wide array of important file types. These include pickled files, Excel spreadsheets, SAS and Stata files, HDF5 files, a file type for storing large quantities of numerical data, and MATLAB files.

Pendahuluan ke jenis file lainnya

Tidak lagi begitu 'flat'

Memuat berkas pickled

Mendaftar sheet dalam file Excel

Mengimpor sheet dari file Excel

Menyesuaikan impor spreadsheet Anda

Mengimpor berkas SAS/Stata menggunakan pandas

Cara mengimpor SAS7BDAT

Mengimpor berkas SAS

Menggunakan read_stata untuk mengimpor file Stata

Mengimpor file Stata

Mengimpor file HDF5

Menggunakan File untuk mengimpor berkas HDF5

Menggunakan h5py untuk mengimpor file HDF5

Mengekstrak data dari berkas HDF5 Anda

Mengimpor file MATLAB

Memuat berkas .mat

Struktur .mat di Python

Importing data from other file types

In this chapter, you'll learn how to extract meaningful data from relational databases, an essential skill for any data scientist. You will learn about relational models, how to create SQL queries, how to filter and order your SQL records, and how to perform advanced queries by joining database tables.

Introduction to relational databases

Pop quiz: The relational model

Creating a database engine in Python

Creating a database engine

What are the tables in the database?

Querying relational databases in Python

The Hello World of SQL Queries!

Customizing the Hello World of SQL Queries

Filtering your database records using SQL's WHERE

Ordering your SQL records with ORDER BY

Querying relational databases directly with pandas

Pandas and The Hello World of SQL Queries!

Pandas for more complex querying

Advanced querying: exploiting table relationships

The power of SQL lies in relationships between tables: INNER JOIN

Filtering your INNER JOIN

Final Thoughts

Working with relational databases in Python

Chinook (SQLite)

LIGO (HDF5)

Battledeath (XLSX)

Extent of infectious diseases (DTA)

Gene expressions (MATLAB)

MNIST

Sales (SAS7BDAT)

Seaslugs

Titanic

Course Glossary

Sebagai data scientist, Anda perlu membersihkan data, melakukan wrangling dan munging, memvisualisasikan, membangun model prediktif, serta menafsirkan model tersebut. Namun sebelum itu, Anda harus mengetahui cara memasukkan data ke dalam Python. Di kursus ini, Anda akan mempelajari berbagai cara mengimpor data ke Python: dari flat file seperti .txt dan .csv; dari file yang berasal dari perangkat lunak lain seperti spreadsheet Excel, serta file Stata, SAS, dan MATLAB; serta dari basis data relasional seperti SQLite dan PostgreSQL.

Video dilengkapi transkrip langsung yang dapat Anda tampilkan dengan mengklik "Show transcript" di kiri bawah video.
Glosarium kursus dapat ditemukan di sebelah kanan pada bagian sumber daya.
Untuk memperoleh kredit CPE, Anda perlu menyelesaikan kursus dan meraih skor 70% pada penilaian yang memenuhi syarat. Anda dapat membuka penilaian dengan mengklik ajakan kredit CPE di sebelah kanan.

Intermediate Python

Anda akan belajar cara membaca data ke Python: dari file CSV, spreadsheet Excel, hingga database SQLite & PostgreSQL.

Pengantar Mengimpor Data di Python

Pelajari cara mengimpor data ke dalam Python dari berbagai sumber, seperti Excel, SQL, SAS, dan langsung dari web.

Associate Data Scientist  dalam Python

Data Engineer dalam Python

Impor & Pembersihan Data  dalam Python

Cara mengimpor SAS7BDAT

Pengantar Mengimpor Data di Python

Latihan interaktif praktis