110+ Exercises – Python + SQL (sqlite3) – SQLite Databases
110+ Exercises – Python + SQL (sqlite3) – SQLite Databases, available at $54.99, has an average rating of 4.5, with 121 lectures, 104 quizzes, based on 50 reviews, and has 37523 subscribers.
You will learn about 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 This course is ideal for individuals who are Python developers or programmers who want to learn how to work with SQLite databases using the sqlite3 module in Python or students or individuals with a basic understanding of Python who want to gain hands-on experience in managing and querying SQLite databases using Python or data analysts or data scientists who want to add SQLite as a data storage and retrieval option to their data manipulation and analysis toolkit in Python or professionals working with small to medium-sized datasets who need a lightweight and easy-to-use database solution like SQLite and want to leverage its features through Python or self-learners or enthusiasts interested in databases and SQL, who want to practice creating, managing, and querying SQLite databases using Python or developers who want to understand the fundamentals of database management and SQL syntax using SQLite and Python as a stepping stone to more complex database systems It is particularly useful for Python developers or programmers who want to learn how to work with SQLite databases using the sqlite3 module in Python or students or individuals with a basic understanding of Python who want to gain hands-on experience in managing and querying SQLite databases using Python or data analysts or data scientists who want to add SQLite as a data storage and retrieval option to their data manipulation and analysis toolkit in Python or professionals working with small to medium-sized datasets who need a lightweight and easy-to-use database solution like SQLite and want to leverage its features through Python or self-learners or enthusiasts interested in databases and SQL, who want to practice creating, managing, and querying SQLite databases using Python or developers who want to understand the fundamentals of database management and SQL syntax using SQLite and Python as a stepping stone to more complex database systems.
Enroll now: 110+ Exercises – Python + SQL (sqlite3) – SQLite Databases
Summary
Title: 110+ Exercises – Python + SQL (sqlite3) – SQLite Databases
Price: $54.99
Average Rating: 4.5
Number of Lectures: 121
Number of Quizzes: 104
Number of Published Lectures: 121
Number of Published Quizzes: 104
Number of Curriculum Items: 225
Number of Published Curriculum Objects: 225
Original Price: $19.99
Quality Status: approved
Status: Live
What You Will 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
Who Should Attend
- Python developers or programmers who want to learn how to work with SQLite databases using the sqlite3 module in Python
- students or individuals with a basic understanding of Python who want to gain hands-on experience in managing and querying SQLite databases using Python
- data analysts or data scientists who want to add SQLite as a data storage and retrieval option to their data manipulation and analysis toolkit in Python
- professionals working with small to medium-sized datasets who need a lightweight and easy-to-use database solution like SQLite and want to leverage its features through Python
- self-learners or enthusiasts interested in databases and SQL, who want to practice creating, managing, and querying SQLite databases using Python
- developers who want to understand the fundamentals of database management and SQL syntax using SQLite and Python as a stepping stone to more complex database systems
Target Audiences
- Python developers or programmers who want to learn how to work with SQLite databases using the sqlite3 module in Python
- students or individuals with a basic understanding of Python who want to gain hands-on experience in managing and querying SQLite databases using Python
- data analysts or data scientists who want to add SQLite as a data storage and retrieval option to their data manipulation and analysis toolkit in Python
- professionals working with small to medium-sized datasets who need a lightweight and easy-to-use database solution like SQLite and want to leverage its features through Python
- self-learners or enthusiasts interested in databases and SQL, who want to practice creating, managing, and querying SQLite databases using Python
- developers who want to understand the fundamentals of database management and SQL syntax using SQLite and Python as a stepping stone to more complex database systems
The “110+ Exercises – Python + SQL (sqlite3) – SQLite Databases” course is a comprehensive learning resource designed to equip learners with a strong understanding of integrating Python with SQLite, a self-contained, serverless, and zero-configuration database engine. This course aims to help learners enhance their data manipulation and analysis skills using these two powerful tools.
With over 110 exercises, the course starts with basics such as creating and connecting to SQLite databases using Python’s built-in sqlite3 module. Learners then proceed to more complex topics, including writing SQL queries, updating and deleting records, and handling transactions in Python. The course also covers error handling and database security to ensure the robustness and integrity of your applications.
Each exercise poses a unique problem, with a focus on practical, real-world scenarios. The exercises are designed to challenge learners and stimulate their problem-solving skills. Solutions to all exercises are provided, allowing learners to compare their approach and gain different perspectives on solving problems.
As the course advances, learners will also tackle more complex topics, such as optimizing queries, using advanced SQL constructs in Python, and understanding database models.
The “110+ Exercises – Python + SQL (sqlite3) – SQLite Databases” course is an excellent choice for Python developers, data analysts, or anyone interested in handling databases with Python and SQLite. It is also beneficial for data science aspirants, as it provides a solid foundation for data manipulation and exploration. A basic understanding of Python and SQL is recommended to make the most of this course.
SQLite – Lightweight Database Powerhouse!
SQLite is a lightweight, serverless, and self-contained relational database management system. It is widely used as an embedded database in various applications due to its simplicity, small footprint, and high performance. SQLite stores the entire database in a single file, making it easy to deploy and manage without requiring a separate server process.
Despite its compact size, SQLite supports a full range of SQL features and provides ACID (Atomicity, Consistency, Isolation, Durability) compliance. It offers a reliable and efficient way to store and retrieve structured data, making it suitable for small to medium-sized applications, mobile devices, and embedded systems.
With SQLite, developers can create tables, define relationships, and execute SQL queries to perform various operations such as inserting, updating, deleting, and querying data. It supports common data types, transactions, indexes, and triggers, enabling efficient data manipulation and retrieval.
SQLite integrates seamlessly with different programming languages, including Python, C, C++, and more, making it highly versatile and widely adopted. It is used in a wide range of applications, such as mobile apps, desktop software, web browsers, IoT devices, and data analysis tools.
In summary, SQLite provides a lightweight and efficient solution for managing relational databases without the need for a dedicated database server. It offers simplicity, flexibility, and reliability, making it a popular choice for applications that require local data storage and retrieval.
Course Curriculum
Chapter 1: Tips
Lecture 1: A few words from the author
Lecture 2: Configuration
Lecture 3: Requirements
Chapter 2: Starter
Lecture 1: sqlite3 – Intro
Lecture 2: Solution 1
Lecture 3: Solution 2
Lecture 4: Solution 3
Chapter 3: —– Project – E-learning platform —–
Lecture 1: Intro
Chapter 4: One-To-Many / Many-To-One
Lecture 1: Solution 1
Lecture 2: Solution 2
Lecture 3: Solution 3
Lecture 4: Solution 4
Lecture 5: Solution 5
Lecture 6: Solution 6
Lecture 7: Solution 7
Lecture 8: Solution 8
Lecture 9: Solution 9
Lecture 10: Solution 10
Lecture 11: Solution 11
Lecture 12: Solution 12
Lecture 13: Solution 13
Chapter 5: Many-To-Many
Lecture 1: Solution 1
Lecture 2: Solution 2
Lecture 3: Solution 3
Lecture 4: Solution 4
Lecture 5: Solution 5
Lecture 6: Solution 6
Lecture 7: Solution 7
Lecture 8: Solution 8
Lecture 9: Solution 9
Lecture 10: Solution 10
Lecture 11: Solution 11
Lecture 12: Solution 12
Lecture 13: Solution 13
Lecture 14: Solution 14
Chapter 6: Many-To-Many + additional columns
Lecture 1: Solution 1
Lecture 2: Solution 2
Lecture 3: Solution 3
Lecture 4: Solution 4
Lecture 5: Solution 5
Lecture 6: Solution 6
Chapter 7: DML – Data Manipulation Language
Lecture 1: Solution 1
Lecture 2: Solution 2
Lecture 3: Solution 3
Lecture 4: Solution 4
Chapter 8: SQL Injection
Lecture 1: Solution 1
Lecture 2: Solution 2
Lecture 3: Solution 3
Instructors
-
Paweł Krakowiak
Python Developer/Data Scientist/Stockbroker
Rating Distribution
- 1 stars: 0 votes
- 2 stars: 1 votes
- 3 stars: 4 votes
- 4 stars: 10 votes
- 5 stars: 35 votes
Frequently Asked Questions
How long do I have access to the course materials?
You can view and review the lecture materials indefinitely, like an on-demand channel.
Can I take my courses with me wherever I go?
Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!
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