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A Cloud Guru
The Certified Entry-Level Python Programmer Certification (PCEP) is a great place to start when getting Python certified. The Python Institute provides multiple certification exams for Python ranging from entry level to professional level. This course is designed to teach you the fundamentals of Python required to take and pass the Certified Entry-Level Python Programmer Certification exam before moving onto the more advanced certifications. Throughout this course, we'll cover: * Python data types * Control flow structures — conditionals and loops * Data collections * Functions and generators By the time you've completed this course, you should feel more than comfortable taking and passing the Certified Entry-Level Python Programmer Certification exam — but more importantly, you'll have a good understanding of the fundamentals of Python programming.
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Python
Data Types
Control Flow
Data Collections
Functions
Generators
Register for this course and see more details by visiting:
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Provides the fundamentals of Python required to take and pass the Certified Entry-Level Python Programmer Certification exam
Taught by A Cloud Guru, who are recognized for their work in cloud computing
Examines Python programming, which is highly relevant to industry
Builds a strong foundation for beginners in Python programming
Covers Python data types, control flow structures, data collections, functions, and generators
Explicitly advises students to take other courses first as prerequisites
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Reviews summary
Foundational python for pcep certification
According to learners, the Certified Entry-Level Python Programmer Certification course provides a solid foundation in Python fundamentals, largely aimed at preparing students for the PCEP exam. Many found the content very clear and well-structured, appreciating the hands-on coding exercises and quizzes that reinforce learning. While it excels at delivering the PCEP curriculum and helping students pass the exam, some suggest it might be too basic for those with prior programming experience and could benefit from more real-world practical applications or deeper dives into certain topics beyond exam scope. Overall, it's highly regarded for its beginner-friendly approach and effectiveness in achieving its certification goal.
Ideal for those with little to no prior programming experience.
"I came into this with zero Python knowledge and left feeling confident. The pace is perfect for beginners."
"Excellent for beginners! It lays out the Python fundamentals very well."
"If you are a true beginner, this course is probably fine, but some parts were too simple for me."
Provides valuable hands-on coding exercises, labs, and quizzes.
"I particularly appreciated the hands-on coding exercises which really helped solidify my understanding."
"The quizzes and labs reinforced everything I learned. This was crucial for my learning."
"I loved the practical assignments that followed the data collections explanations. They were very helpful."
Content is clear, well-structured, and easy to follow for new learners.
"The content is very clear and well-structured, covering all the essential Python fundamentals."
"It lays out the Python fundamentals very well. The explanations are concise and easy to digest."
"I appreciated the logical flow of topics, from basic data types to functions. Everything made sense."
Excellent for preparing and passing the Certified Entry-Level Python Programmer Certification exam.
"This course was absolutely fantastic for preparing me for the PCEP exam. I passed on my first try!"
"The course delivered exactly what it promised: PCEP exam preparation. The practice questions were very similar to the actual exam."
"It gives you what you need to pass. I highly recommend it for anyone targeting the certification."
Pacing may be too slow or basic for learners with prior coding experience.
"If you have any prior programming experience, this is NOT for you. The explanations are overly simplistic and trivial."
"My only minor critique is that some of the earlier exercises were a bit too simple, and I wished for slightly more challenging problems."
"I found this course incredibly basic and quite frankly, boring if you're not an absolute beginner."
Primarily focuses on exam topics, lacking deeper practical applications.
"I think it could benefit from a few more real-world practical applications, but it achieves its goal of certification prep."
"I had to look up external resources for more practical examples to really understand how some concepts apply."
"Not much on advanced topics, as expected, but if you're looking for real-world projects, this isn't it."
Activities
Be better prepared
before
your course. Deepen your understanding
during
and
after
it. Supplement your coursework and achieve mastery of the topics covered
in Certified Entry-Level Python Programmer Certification with these
activities:
Recall concepts of basic Python types and how to use them
Show steps
Brings back foundational knowledge of Python data types, ensuring a solid base for the course.
Show steps
-
Review definitions and examples of Python data types (e.g., int, float, bool, str)
Organize and review course materials
Show steps
Improves retention by encouraging regular review and consolidation of course materials.
Show steps
-
Gather all notes, assignments, quizzes, and exams from the course
-
Review the materials regularly to reinforce concepts and identify areas for further study
Follow tutorials on Python functions and generators
Show steps
Provides additional guidance and examples, reinforcing the concepts of functions and generators.
Show steps
-
Find tutorials that explain the syntax and usage of Python functions and generators
-
Complete the practice exercises provided in the tutorials
Four other activities
Expand to see all activities and additional details
Show all seven activities
Write a blog post or article summarizing the key concepts of Python
Show steps
Enhances comprehension and retention by requiring students to explain the concepts in detail.
Show steps
-
Identify the main concepts and topics covered in the course
-
Write a clear and concise summary of each concept, providing examples and explanations
-
Proofread and refine the content to ensure clarity and accuracy
Build a Python program using functions, generators, and data structures
Show steps
Provides hands-on experience in applying the course concepts to real-world scenarios.
Show steps
-
Design a program that addresses a specific problem or task
-
Implement the program using Python functions, generators, and appropriate data structures
-
Test and debug the program to ensure it meets the requirements
Develop a personal Python project to demonstrate understanding
Show steps
Provides a platform to apply course concepts, foster creativity, and showcase skills.
Show steps
-
Ideate and design a Python project that aligns with the course topics
-
Implement the project, showcasing proficiency in Python functions, generators, and data structures
-
Document the project, including a description, user guide, and technical details
Assist fellow students by answering questions and providing guidance
Show steps
Strengthens understanding by requiring students to explain concepts and provide feedback to others.
Show steps
-
Participate in online forums and discussion boards
-
Provide thoughtful responses and explanations to questions
-
Offer guidance and support to fellow students who may be struggling
Recall concepts of basic Python types and how to use them
Show steps
Brings back foundational knowledge of Python data types, ensuring a solid base for the course.
Show steps
Show steps
Show steps
- Review definitions and examples of Python data types (e.g., int, float, bool, str)
Organize and review course materials
Show steps
Improves retention by encouraging regular review and consolidation of course materials.
Show steps
Show steps
Show steps
- Gather all notes, assignments, quizzes, and exams from the course
- Review the materials regularly to reinforce concepts and identify areas for further study
Follow tutorials on Python functions and generators
Show steps
Provides additional guidance and examples, reinforcing the concepts of functions and generators.
Show steps
Show steps
Show steps
- Find tutorials that explain the syntax and usage of Python functions and generators
- Complete the practice exercises provided in the tutorials
Four other activities
Expand to see all activities and additional details
Show all seven activities
Write a blog post or article summarizing the key concepts of Python
Show steps
Enhances comprehension and retention by requiring students to explain the concepts in detail.
Show steps
Show steps
Show steps
- Identify the main concepts and topics covered in the course
- Write a clear and concise summary of each concept, providing examples and explanations
- Proofread and refine the content to ensure clarity and accuracy
Build a Python program using functions, generators, and data structures
Show steps
Provides hands-on experience in applying the course concepts to real-world scenarios.
Show steps
Show steps
Show steps
- Design a program that addresses a specific problem or task
- Implement the program using Python functions, generators, and appropriate data structures
- Test and debug the program to ensure it meets the requirements
Develop a personal Python project to demonstrate understanding
Show steps
Provides a platform to apply course concepts, foster creativity, and showcase skills.
Show steps
Show steps
Show steps
- Ideate and design a Python project that aligns with the course topics
- Implement the project, showcasing proficiency in Python functions, generators, and data structures
- Document the project, including a description, user guide, and technical details
Assist fellow students by answering questions and providing guidance
Show steps
Strengthens understanding by requiring students to explain concepts and provide feedback to others.
Show steps
Show steps
Show steps
- Participate in online forums and discussion boards
- Provide thoughtful responses and explanations to questions
- Offer guidance and support to fellow students who may be struggling
Career center
Learners who complete Certified Entry-Level Python Programmer Certification will develop knowledge and skills
that may be useful to these careers:
For more career information including salaries, visit:
OpenCourser.com/course/f7za7f/certified
Reading list
We've selected nine books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
Certified Entry-Level Python Programmer Certification.
Save
Focuses on the art of writing clear, concise, and effective Python code. It discusses best practices and common pitfalls, helping learners to improve their coding skills and develop a deeper understanding of the language.
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Provides a collection of practical recipes for solving common Python programming tasks. It helpful resource for learners who want to quickly find solutions to specific problems or learn about different approaches to solving problems.
Provides a comprehensive introduction to Python programming, covering the basics as well as more advanced topics. It good resource for learners who want to dive deeper into the language beyond the scope of the course.
Save
Focuses on improving the quality and maintainability of Python code. It provides specific guidelines and examples to help learners write more effective and readable code.
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Serves as a comprehensive guide to Python's vast standard library, providing in-depth explanations and examples of its modules and functions. It valuable reference for learners who want to utilize the full potential of the Python ecosystem.
Provides practical, hands-on exercises to learn the fundamentals of Python programming. It suitable companion to the course, as it expands on the concepts covered in the course and provides additional practice opportunities.
Provides a collection of tips and best practices for writing Python code. It useful supplement to the course, as it offers additional insights and recommendations for writing clean and efficient code.
Save
Introduces the fundamental concepts of computer science using Python. While some of the topics may be covered in the course, this book provides a broader perspective and helps learners develop their problem-solving and computational thinking skills.
While covering data analysis in Python is outside the scope of the course, this book valuable resource for learners who want to utilize Python for data analysis tasks. It provides comprehensive coverage of the Pandas library, which is essential for data manipulation and analysis.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/f7za7f/certified
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