Python 3 Programming Specialization
Learning experience | 9.2 |
---|---|
Content Rating | 9.2 |
Python 3 Programming specialization is well-suited for you if you have already taken the “Python Basics” course and want to gain further fundamental knowledge of the Python language. Together, courses in this specialization are geared for newcomers or for those who need a refresher on Python basics, or who may have had some exposure to Python programming but want a more in-depth exposition and vocabulary for describing and reasoning about programs.
This specialization teaches the basics of Python 3 Programming. We will start with variables, conditionals, and loops, and get to some intermediate material like keyword parameters, list understandings, lambda expressions, and class inheritance.
You will have lots of practice and likewise, find out methods to factor about program execution so that it is no longer mystical and you have the ability to debug programs when they don’t work.
By the completion of the specialization, you’ll be able to write programs that query Internet APIs for information and extract helpful details from them. And you’ll have the ability to find out to utilize brand-new modules and APIs by yourself. That will offer you a great launch towards being an independent Python developer.
This specialization is an excellent next action for you if you have actually finished Python for Everybody however desire a more thorough treatment of Python basics and more practice so that you can continue with self-confidence to expertises like Applied Data Science with Python.
Applied Learning Project
By the completion of the 2nd course, you will develop a basic belief analyzer that counts the variety of favorable and unfavorable words in tweets. In the 3rd course, you will mash up 2 APIs to develop a motion picture recommender. The last course, Python Project: pillow, tesseract, and OpenCV (Course 5), is a prolonged job in which you’ll carry out optical character acknowledgment (OCR) and things detection in images.
What you will find out
How to examine and comprehend APIs and third-party libraries to be utilized with Python 3
Using the Python imaging library (pillow) to open, see, and control images, consisting of cropping, resizing, recoloring, and overlaying text
- How to use the python tesseract (py-tesseract) library with Python 3 in order to identify text in images through optical character recognition (OCR)
- Using the open-source computer system vision library (OpenCV) to identify faces in images, & how to crop and control these faces into contact sheets
Syllabus
There are 5 Courses in this Specialization organized by the University of Michigan:
This course presents the essentials of Python 3, consisting of conditional execution and version as control structures, and strings and lists as information structures. You’ll program an on-screen Turtle to draw pretty photos. You’ll likewise find out to draw referral diagrams as a method to reason about program executions, which will assist to develop your debugging abilities. The course has no requirements. It will cover Chapters 1-9 of the book “Fundamentals of Python Programming,” which is the accompanying text (optional and complimentary) for this course.
This course presents the dictionary data structure and user-defined functions. You’ll learn more about local and global variables, optional and keyword parameter-passing, called functions and lambda expressions. You’ll likewise learn more about Python’s sorted function and how to manage the order in which it sorts by passing in another function as an input.
For your final project, you’ll check out simulated social networks information from a file, calculate sentiment ratings, and compose out .csv files. It covers chapters 10-16 of the book “Fundamentals of Python Programming,” which is the accompanying text (optional and free) for this course.
This course teaches you to bring and process data from services on the Internet. It covers Python list understandings and supplies chances to practice extracting from and processing deeply embedded information. You’ll likewise find out how to utilize the Python requests module to connect with REST APIs and what to try to find in the documentation of those APIs. For the last job, you will build a “tag recommender” for the Flickr photo-sharing website.
This course presents classes, instances, and inheritance. You will find out how to utilize classes to represent information in succinct and natural ways. You’ll likewise find out how to override built-in approaches and how to develop “inherited” classes that recycle functionality. You’ll likewise learn more about how to create classes. Finally, you will be presented with the great programming routine of composing automatic tests for their own code.
This course will stroll you through a hands-on project appropriate for a portfolio. You will be presented to third-party APIs and will be demonstrated how to control images utilizing the Python imaging library (pillow), how to use optical character recognition to images to recognize text (tesseract and py-tesseract), and how to recognize faces in images utilizing the popular opencv library. By the completion of the course, you will have dealt with 3 various libraries offered for Python 3 to develop a real-world data-analysis job.
Similar Courses
Description
This specialization teaches the basics of Python 3 Programming. We will start with variables, conditionals, and loops, and get to some intermediate material like keyword parameters, list understandings, lambda expressions, and class inheritance.
You will have lots of practice and likewise, find out methods to factor about program execution so that it is no longer mystical and you have the ability to debug programs when they don’t work.
By the completion of the specialization, you’ll be able to write programs that query Internet APIs for information and extract helpful details from them. And you’ll have the ability to find out to utilize brand-new modules and APIs by yourself. That will offer you a great launch towards being an independent Python developer.
This specialization is an excellent next action for you if you have actually finished Python for Everybody however desire a more thorough treatment of Python basics and more practice so that you can continue with self-confidence to expertises like Applied Data Science with Python.
Applied Learning Project
By the completion of the 2nd course, you will develop a basic belief analyzer that counts the variety of favorable and unfavorable words in tweets. In the 3rd course, you will mash up 2 APIs to develop a motion picture recommender. The last course, Python Project: pillow, tesseract, and OpenCV (Course 5), is a prolonged job in which you’ll carry out optical character acknowledgment (OCR) and things detection in images.
What you will find out
How to examine and comprehend APIs and third-party libraries to be utilized with Python 3
Using the Python imaging library (pillow) to open, see, and control images, consisting of cropping, resizing, recoloring, and overlaying text
- How to use the python tesseract (py-tesseract) library with Python 3 in order to identify text in images through optical character recognition (OCR)
- Using the open-source computer system vision library (OpenCV) to identify faces in images, & how to crop and control these faces into contact sheets
Syllabus
There are 5 Courses in this Specialization organized by the University of Michigan:
This course presents the essentials of Python 3, consisting of conditional execution and version as control structures, and strings and lists as information structures. You’ll program an on-screen Turtle to draw pretty photos. You’ll likewise find out to draw referral diagrams as a method to reason about program executions, which will assist to develop your debugging abilities. The course has no requirements. It will cover Chapters 1-9 of the book “Fundamentals of Python Programming,” which is the accompanying text (optional and complimentary) for this course.
This course presents the dictionary data structure and user-defined functions. You’ll learn more about local and global variables, optional and keyword parameter-passing, called functions and lambda expressions. You’ll likewise learn more about Python’s sorted function and how to manage the order in which it sorts by passing in another function as an input.
For your final project, you’ll check out simulated social networks information from a file, calculate sentiment ratings, and compose out .csv files. It covers chapters 10-16 of the book “Fundamentals of Python Programming,” which is the accompanying text (optional and free) for this course.
This course teaches you to bring and process data from services on the Internet. It covers Python list understandings and supplies chances to practice extracting from and processing deeply embedded information. You’ll likewise find out how to utilize the Python requests module to connect with REST APIs and what to try to find in the documentation of those APIs. For the last job, you will build a “tag recommender” for the Flickr photo-sharing website.
This course presents classes, instances, and inheritance. You will find out how to utilize classes to represent information in succinct and natural ways. You’ll likewise find out how to override built-in approaches and how to develop “inherited” classes that recycle functionality. You’ll likewise learn more about how to create classes. Finally, you will be presented with the great programming routine of composing automatic tests for their own code.
This course will stroll you through a hands-on project appropriate for a portfolio. You will be presented to third-party APIs and will be demonstrated how to control images utilizing the Python imaging library (pillow), how to use optical character recognition to images to recognize text (tesseract and py-tesseract), and how to recognize faces in images utilizing the popular opencv library. By the completion of the course, you will have dealt with 3 various libraries offered for Python 3 to develop a real-world data-analysis job.
Similar Courses
Specification:
- Coursera
- University of Michigan
- Microdegree
- Self-paced
- Beginner
- 3+ Months
- Free Trial (Paid Course & Certificate)
- English
- Python
- None Pre-requisite
- Data Science with 'Python' Python Programming
There are no reviews yet.