110+ Exercises – Python + SQL (sqlite3) – SQLite Databases

110+ Exercises - Python + SQL (sqlite3) - SQLite Databases

110+ Exercises – Python + SQL (sqlite3) – SQLite Databases

Improve your Python and SQL programming skills and solve over 110 exercises with SQLite Databases!

Language: english

Note: 4.8/5 (35 notes) 27,354 students

Instructor(s): PaweĊ‚ Krakowiak

Last update: 2022-08-31

What you’ll learn

  • projects: E-learning platform, Company database, Forum application
  • solve 110+ exercises with SQL and Python
  • Python + SQL (sqlite3) + csv
  • Python + SQL (sqlite3) + pandas
  • User-defined SQL functions
  • deal with real programming problems
  • work with documentation and Stack Overflow
  • guaranteed instructor support

 

Requirements

  • completion of all courses in the Python Developer learning path
  • completion of all courses in the SQL Developer learning path
  • I have courses which can assist in obtaining all the necessary skills for this course

 

Description

Welcome to the 110+ Exercises – Python + SQL (sqlite3) – SQLite Databases course, where you can check your programming skills in Python and SQL. This course is designed for people who have basic knowledge in Python and SQL. It consists of over 110 exercises with solutions.


During this course you will be able to test your programming skills in Python and SQL (SQLite). This is a great test for people who want to become a Python Developer and are looking for new challenges. Exercises are also a good test for an interview. Many popular topics were covered in this course. Before taking the course, please make sure that you meet the requirements.


Don’t hesitate any longer and take the challenge today!


SQLite

SQLite is an in-process library that implements a self-contained, serverless, zero-configuration, transactional SQL database engine. The code for SQLite is in the public domain and is thus free for use for any purpose, commercial or private. SQLite is the most widely deployed database in the world with more applications than we can count, including several high-profile projects.

SQLite is an embedded SQL database engine. Unlike most other SQL databases, SQLite does not have a separate server process. SQLite reads and writes directly to ordinary disk files. A complete SQL database with multiple tables, indices, triggers, and views, is contained in a single disk file. The database file format is cross-platform – you can freely copy a database between 32-bit and 64-bit systems.

 

Who this course is for

  • everyone who wants to practice SQL and Python
  • everyone who wants to learn by doing
  • everyone who wants to prepare for an interview
  • data scientists / data analytics / machine learning engineers

 

Course content

  • Configuration (optional)
    • Info
    • Requirements
    • Google Colab + Google Drive
    • Google Colab + GitHub
    • Google Colab – Intro
    • Anaconda installation – Windows 10
    • Introduction to Spyder
    • Anaconda installation – Linux
  • Tips
    • A few words from the author
  • Starter
    • Exercise 1
    • Solution 1
    • Exercise 2
    • Solution 2
    • Exercise 3
    • Solution 3
  • —– Project – E-learning platform —–
    • Intro
  • One-To-Many / Many-To-One
    • Exercise 1
    • Solution 1
    • Exercise 2
    • Solution 2
    • Exercise 3
    • Solution 3
    • Exercise 4
    • Solution 4
    • Exercise 5
    • Solution 5
    • Exercise 6
    • Solution 6
    • Exercise 7
    • Solution 7
    • Exercise 8
    • Solution 8
    • Exercise 9
    • Solution 9
    • Exercise 10
    • Solution 10
    • Exercise 11
    • Solution 11
    • Exercise 12
    • Solution 12
    • Exercise 13
    • Solution 13
  • Many-To-Many
    • Exercise 1
    • Solution 1
    • Exercise 2
    • Solution 2
    • Exercise 3
    • Solution 3
    • Exercise 4
    • Solution 4
    • Exercise 5
    • Solution 5
    • Exercise 6
    • Solution 6
    • Exercise 7
    • Solution 7
    • Exercise 8
    • Solution 8
    • Exercise 9
    • Solution 9
    • Exercise 10
    • Solution 10
    • Exercise 11
    • Solution 11
    • Exercise 12
    • Solution 12
    • Exercise 13
    • Solution 13
    • Exercise 14
    • Solution 14
  • Many-To-Many + additional columns
    • Exercise 1
    • Solution 1
    • Exercise 2
    • Solution 2
    • Exercise 3
    • Solution 3
    • Exercise 4
    • Solution 4
    • Exercise 5
    • Solution 5
    • Exercise 6
    • Solution 6
  • DML – Data Manipulation Language
    • Exercise 1
    • Solution 1
    • Exercise 2
    • Solution 2
    • Exercise 3
    • Solution 3
    • Exercise 4
    • Solution 4
  • SQL Injection
    • Exercise 1
    • Solution 1
    • Exercise 2
    • Solution 2
    • Exercise 3
    • Solution 3
    • Exercise 4
    • Solution 4
    • Exercise 5
    • Solution 5
  • —– Mini Projekt – Company —–
    • Intro
  • One-To-One
    • Exercise 1
    • Solution 1
    • Exercise 2
    • Solution 2
  • Many-To-Many
    • Exercise 1
    • Solution 1
    • Exercise 2
    • Solution 2
    • Exercise 3
    • Solution 3
    • Exercise 4
    • Solution 4
    • Exercise 5
    • Solution 5
    • Exercise 6
    • Solution 6
    • Exercise 7
    • Solution 7
  • —– Project – Forum Application —–
    • Intro
  • Forum application
    • Exercise 1
    • Solution 1
    • Exercise 2
    • Solution 2
    • Exercise 3
    • Solution 3
    • Exercise 4
    • Solution 4
    • Exercise 5
    • Solution 5
    • Exercise 6
    • Solution 6
    • Exercise 7
    • Solution 7
    • Exercise 8
    • Solution 8
    • Exercise 9
    • Solution 9
    • Exercise 10
    • Solution 10
    • Exercise 11
    • Solution 11
    • Exercise 12
    • Solution 12
    • Exercise 13
    • Solution 13
    • Exercise 14
    • Solution 14
    • Exercise 15
    • Solution 15
    • Exercise 16
    • Solution 16
    • Exercise 17
    • Solution 17
    • Exercise 18
    • Solution 18
    • Exercise 19
    • Solution 19
    • Exercise 20
    • Solution 20
    • Exercise 21
    • Solution 21
    • Exercise 22
    • Solution 22
    • Exercise 23
    • Solution 23
    • Exercise 24
    • Solution 24
    • Exercise 25
    • Solution 25
  • DML – Data Manipulation Language
    • Exercise 1
    • Solution 1
    • Exercise 2
    • Solution 2
    • Exercise 3
    • Solution 3
    • Exercise 4
    • Solution 4
    • Exercise 5
    • Solution 5
    • Exercise 6
    • Solution 6
    • Exercise 7
    • Solution 7
    • Exercise 8
    • Solution 8
    • Exercise 9
    • Solution 9
    • Exercise 10
    • Solution 10
  • —– csv + pandas —–
    • Intro
  • sqlite3 + csv
    • Exercise 1
    • Solution 1
    • Exercise 2
    • Solution 2
    • Exercise 3
    • Solution 3
  • sqlite3 + pandas
    • Exercise 1
    • Solution 1
    • Exercise 2
    • Solution 2
    • Exercise 3
    • Solution 3
    • Exercise 4
    • Solution 4
    • Exercise 5
    • Solution 5
    • Exercise 6
    • Solution 6
  • —– User-defined functions —–
    • Intro
  • User-defined functions
    • Exercise 1
    • Solution 1
    • Exercise 2
    • Solution 2
    • Exercise 3
    • Solution 3
    • Exercise 4
    • Solution 4
    • Exercise 5
    • Solution 5
    • Exercise 6
    • Solution 6
  • Bonus
    • Bonus

 

110+ Exercises - Python + SQL (sqlite3) - SQLite Databases

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