You'll gain invaluable skills in retrieving and parsing web data using HTTP, understanding industry-standard data exchange formats like XML and JSON. Crucially, you'll absorb and apply the concepts of Object-Oriented Programming (OOP), learning to design and implement modular, reusable, and scalable code through classes and objects. The course also introduces the essentials of database interaction with Python, including the basics of SQL, and explores how Python applications can be used to manage and visualize data effectively.
This course provides advanced Python skills that are directly aligned with core demands in modern software development, empowering you to:
Build Connected Applications: Learn to access and interact with data from the internet, a fundamental skill for web development, data science, and automation.
Design Scalable Code: Master Object-Oriented Programming (OOP) principles, enabling you to write more organized, maintainable, and reusable code for larger projects.
Manage Data Persistently: Understand how to connect Python applications to databases and use SQL, a vital skill for storing and retrieving application data.
Handle Industry-Standard Data Formats: Become proficient with XML and JSON, the universal languages for data exchange across web services.
Visualize Data Insights: Get an introduction to how Python can be leveraged for effective data management and visualization, opening doors to data analysis roles.
By the end of this course, you'll be able to:
Retrieve Web Data: Confidently use HTTP to retrieve web pages and apply different methods for parsing their data.
Work with Web Data Formats: Recognize and effectively utilize XML and JSON formats for exchanging data across the web.
Apply OOP Principles: Design and implement Python classes and objects, applying fundamental concepts like encapsulation, inheritance, and polymorphism.
Interact with Databases: Grasp the basics of connecting Python to databases and use SQL for fundamental data operations (e.g., querying, inserting).
Understand Data Management & Visualization: Gain insight into how Python applications can be structured for managing and visualizing data, setting the stage for more advanced studies.
This course is structured to provide hands-on experience in building sophisticated Python applications:
Learn how Python programs can retrieve information from the internet using HTTP requests. You'll explore methods for parsing web page content, laying the groundwork for web scraping and API interactions.
Dive into the two most common data exchange formats on the web. You'll learn to read, write, and process data structured in XML and JSON, essential for working with web APIs.
Discover the paradigm of OOP. You'll learn what classes and objects are, how to define them, and how to use them to create modular and organized Python code.
Explore the core tenets of OOP. Understand how encapsulation promotes data integrity, how inheritance allows for code reuse, and how polymorphism enables flexible code design.
Get started with connecting Python to databases. You'll learn fundamental SQL commands for interacting with relational databases and how to execute these commands from your Python applications.
Explore how Python can be used to manage and prepare data, and get an introduction to libraries and techniques for visualizing data, providing insights from your applications.
— Jordan P., Aspiring Software Engineer
Our instructors are passionate about teaching and committed to your success. They bring real-world experience and a clear, engaging teaching style to make learning Python enjoyable and effective.
Enroll in "Python Power Level 4" today and strengthen your programming expertise!
100% completion of graded exercises, attendance required.
Q: What are the prerequisites for this course? This course explores the principles of Object-Oriented Programming and the use of Regular Expressions in Python. It is designed for participants with prior Python experience, building upon foundational and intermediate knowledge.
Q: What software do I need? Once registered, students only need a personal computer with internet access. The course is delivered via our Codecraft App Learning Management System, which provides the necessary tools and allows access from anywhere.
Q: Is this course self-paced or live? This is an instructor-led course. Classes are delivered synchronously through the Codecraft Institute’s Learning Management System, Codecraft App. Students are expected to attend classes on a regular basis.
Q: What kind of support will I receive? Students have access to various online tools within their course, including the downloadable syllabus, lectures, audio or video streams, and other relevant learning materials. Instructors are available for questions via chat, forums, and scheduled consultations. There is also 24/7 technical assistance for the online course platform.
Q: What are the technical requirements for the course? A personal computer with internet access is required. Students will be provided with a username and password to access their personal page within the Codecraft App Learning Management System.
Q: Can I get a refund if the course isn't for me? Should a student’s enrollment be terminated or cancelled for any reason, all refunds will be made according to the following refund schedule: Cancellation can be made in person, by electronic email or by certified mail. All monies will be refunded if the school does not accept the applicant or if the student cancels within three (3) business days after signing the enrollment agreement and making initial payment, with the exception of the application fee. Cancellation after the third (3rd) Business Day, but before the first class, will result in a refund of all monies paid, with the exception of the application fee and any certification or voucher fees. Cancellation after attendance has begun through 40% completion of the program, will result in a pro rata refund computed on the number of hours completed to the total program hours. Cancellation after completing more than 40% of the program will result in no refund. When calculating the refund due, the last date of actual attendance by the student is used in the calculation unless earlier written notice was received. Refunds will be made within 30 days of termination of the student’s enrollment or receipt of a Cancellation Notice from the student.
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