Summary: Accessing databases using Python

-

 

  • Magic commands are special commands that provide special functionalities.

  • Cell magics are commands prefixed with two %% characters and operate on multiple input lines. 

  • DB APIs are commands prefixed with two %% characters and operate on multiple input lines.

  • The two main concepts in the Python DB API are Connection Objects and Query Objects.

  • A database cursor is a control structure that enables traversal over the records in a database. 

  • Pandas’ methods are equipped with common mathematical and statistical methods.  

  • The pandas.read_csv functionis used to read the database CSV file.

  • The SQLite3.connect functionis used to connect to a database.

  • To use pandas to retrieve data from the database tables, load data using the read_sql method and select the SQL Select Query

  • A categorical scatterplot is created using the swarmplot() method by the seaborn package.

Comments

Post a Comment

Popular posts from this blog

Lila's Journey to Becoming a Data Scientist: Her Working Approach on the First Task

-
  Education and Skill Acquisition: Lila, with an economics background, decides to transition to data science. Enrolls in the IBM Data Science Professional Certificate for comprehensive training. Gains proficiency in statistics, machine learning, and programming languages. Building a Strong Foundation: Develops a deep understanding of data manipulation and visualization using Python libraries. Visualization for Storytelling: Learns to create informative visualizations, aiding in effective communication of findings. Hands-On Experience: Engages in Kaggle competitions and personal data projects for practical experience. Establishes a GitHub profile to showcase her projects and skills. Data Wrangling and Preprocessing: Focuses on data cleaning, preprocessing, and handling missing data and outliers. Communication and Storytelling: Hones data storytelling skills using tools like Matplotlib and Plotly. Networking and Collaboration: Actively participates in data science communities, attend...
Read more

Reading: Additional Sources of Datasets

-
  In this reading, you will learn about: Open datasets and sources Proprietary datasets and sources Dataset license Open datasets and sources In this data-driven world, some datasets are freely available for anyone to access, use, modify, and share. These are called  open datasets . Open datasets include a public license and are very useful for your journey as a Data Scientist. Some of the most informative open dataset sources are listed below. Government Data: https://www.data.gov/ https://www.census.gov/data.html https://data.gov.uk/ https://www.opendatanetwork.com/ https://data.un.org/ Financial Data Sources: https://data.worldbank.org/ https://www.globalfinancialdata.com/ https://comtrade.un.org/ https://www.nber.org/ https://fred.stlouisfed.org/ Crime Data: https://www.fbi.gov/services/cjis/ucr https://www.icpsr.umich.edu/icpsrweb/content/NACJD/index.html https://www.drugabuse.gov/related-topics/trends-statistics https://www.unodc.org/unodc/en/data-and-analysis/ Health Da...
Read more

switch functions

-
  Nested IF Function : The  nested IF  function allows you to perform tests with multiple conditions and return different values based on the results of those tests. It is called “nested” because one IF function is embedded inside another IF function. Syntax of a generic nested IF formula: =IF(condition1, result1, IF(condition2, result2, IF(condition3, result3, result4) ) ) Each subsequent IF function is embedded into the  value_if_false  argument of the previous function. SWITCH Function : The  SWITCH  function is a more compact alternative to nested IF statements. It compares an expression against a list of values and returns the result according to the first matching value. Syntax of the SWITCH function: =SWITCH(expression, value1, result1, [default or value2, result2], ... [default or valueN, resultN]) It has four arguments: expression : The value to compare against the list of values. valueN : A value com...
Read more