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Introduction to Programming with Python II

Kelly Howard, Karl Krueger, Rachel Manning, Abe Feinberg, Richard Kalehoff, Julia Van Cleve, and James Parkes

Enhance your Python II skills with our online training course. Create diverse NoSQL data models and more by enrolling in our Intro to Programming course.

Prerequisite details

Read more

Enhance your Python II skills with our online training course. Create diverse NoSQL data models and more by enrolling in our Intro to Programming course.

Prerequisite details

To optimize your success in this program, we've created a list of prerequisites and recommendations to help you prepare for the curriculum. Prior to enrolling, you should have the following knowledge:

  • Basic Python

You will also need to be able to communicate fluently and professionally in written and spoken English.

What's inside

Syllabus

In this lesson, we'll introduce you to your instructors, give you an overview of what you'll be learning, and provide a review you can use to check your pre-existing Python skills.
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Learn to work with files on your disk using Python code: listing files in a directory, moving files around, and reading & writing the contents of text files.
Learn to interact with Web APIs using the requests module, manipulate JSON, and use dictionaries.
Learn to create new kinds of data object using classes, including creating your own methods.
Apply your Python and Object-Oriented Programming knowledge to create a game of Rock Paper Scissors where a human can play against a computer player!

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Meets industry standards by giving you experience with working with files on disk using Python code, something that is standard in the tech industry
This course utilizes up-to-date methods such as the requests module, manipulation JSON, and use dictionaries. This will give you a strong foundation in Python practices
You will receive a comprehensive review of Python basics such as classes, creating methods, and object-oriented programming
Apply your Python and object-oriented programming knowledge to the creation of a game, giving you practical, hands-on experience
This curriculum has been carefully crafted by a team of experienced instructors

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Activities

Coming soon We're preparing activities for Introduction to Programming with Python II. These are activities you can do either before, during, or after a course.

Career center

Learners who complete Introduction to Programming with Python II will develop knowledge and skills that may be useful to these careers:
Data Analyst
Data Analysts play a critical role in extracting actionable insights from data. Their responsibilities involve collecting, cleaning, and analyzing data to identify patterns, trends, and anomalies. Python II skills are in high demand in this field, particularly for working with diverse NoSQL data models. This course provides a solid foundation for Data Analysts, equipping them with the necessary skills to succeed in this rapidly growing field.
Software Engineer
Software Engineers are responsible for designing, developing, and maintaining software applications. Python II skills are essential for Software Engineers, especially for working with web APIs, manipulating JSON, and creating custom data objects using classes. This course will help Software Engineers enhance their Python skills and develop a strong foundation in object-oriented programming, making them highly competitive in the job market.
Web Developer
Web Developers are responsible for designing, developing, and maintaining websites. Python II skills are highly sought after in web development, particularly for working with web APIs and manipulating JSON. This course provides Web Developers with the necessary skills to create dynamic and interactive web applications, giving them a competitive edge in the industry.
Data Scientist
Data Scientists use scientific methods and machine learning techniques to extract insights from data. Python II skills are essential for Data Scientists, especially for working with NoSQL data models and manipulating JSON. This course will help Data Scientists develop a strong foundation in Python II and enhance their ability to solve complex data-driven problems.
Machine Learning Engineer
Machine Learning Engineers design, develop, and maintain machine learning models. Python II skills are crucial for Machine Learning Engineers, particularly for working with data models and manipulating JSON. This course will provide Machine Learning Engineers with the necessary skills to build and deploy machine learning models effectively.
Quantitative Analyst
Quantitative Analysts use mathematical and statistical models to analyze financial data. Python II skills are essential for Quantitative Analysts, especially for working with financial data and manipulating JSON. This course will help Quantitative Analysts enhance their Python skills and develop a strong foundation in data analysis, making them highly sought after in the financial industry.
Business Analyst
Business Analysts use data analysis to identify business opportunities and solve problems. Python II skills are becoming increasingly important for Business Analysts, especially for working with data models and manipulating JSON. This course will provide Business Analysts with the necessary skills to analyze data effectively and make informed business decisions.
Data Engineer
Data Engineers design, build, and maintain data pipelines. Python II skills are essential for Data Engineers, especially for working with NoSQL data models and manipulating JSON. This course will provide Data Engineers with the necessary skills to build and maintain robust data pipelines, enabling them to succeed in the field.
Product Manager
Product Managers are responsible for the development and management of technology products. Python II skills may be beneficial for Product Managers, especially for understanding the technical aspects of product development and working with data. This course will provide Product Managers with a basic understanding of Python II and help them collaborate effectively with technical teams.
DevOps Engineer
DevOps Engineers bridge the gap between development and operations teams. Python II skills may be helpful for DevOps Engineers, especially for automating tasks and working with data. This course will provide DevOps Engineers with a basic understanding of Python II and help them build a foundation for a successful career in DevOps.
Project Manager
Project Managers plan, execute, and deliver projects. Python II skills may be helpful for Project Managers, especially for managing technical projects and working with data. This course will provide Project Managers with a basic understanding of Python II and help them effectively lead technical teams.
Marketing Analyst
Marketing Analysts use data analysis to improve marketing campaigns. Python II skills may be helpful for Marketing Analysts, especially for working with data and manipulating JSON. This course will provide Marketing Analysts with a basic understanding of Python II and help them analyze marketing data effectively.
Salesforce Administrator
Salesforce Administrators manage and customize Salesforce software. Python II skills may be helpful for Salesforce Administrators, especially for automating tasks and working with data. This course will provide Salesforce Administrators with a basic understanding of Python II and help them build a foundation for a successful career in Salesforce administration.
Data Entry Clerk
Data Entry Clerks input data into computer systems. Python II skills may be helpful for Data Entry Clerks, especially for handling large volumes of data and working with data formats. This course will provide Data Entry Clerks with a basic understanding of Python II and help them improve their data entry skills.
Customer Service Representative
Customer Service Representatives provide support to customers. Python II skills may be helpful for Customer Service Representatives, especially for handling customer inquiries and managing data. This course will provide Customer Service Representatives with a basic understanding of Python II and help them provide better customer service.

Reading list

We've selected 13 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 Introduction to Programming with Python II.
Great introduction to Python and covers many of the same topics as this course. It is well-written and easy to follow, making it a good choice for beginners.
More comprehensive introduction to Python than the previous one and covers more advanced topics. It is also well-written and easy to follow, making it a good choice for beginners and intermediate learners.
More traditional introduction to Python and computer science. It covers a wide range of topics, from the basics of Python to more advanced topics like object-oriented programming and data structures. It good choice for learners who want a more in-depth understanding of Python and computer science.
Comprehensive reference guide to the Python language. It covers all of the major features of Python, from the basics to more advanced topics like object-oriented programming and data structures. It good choice for learners who want a quick and easy reference to the Python language.
Collection of over 500 Python recipes that solve common programming problems. It good choice for learners who want to learn how to use Python to solve real-world problems.
Guide to writing clear, concise, and effective Python code. It covers a wide range of topics, from the basics of Python to more advanced topics like object-oriented programming and data structures. It good choice for learners who want to improve their Python coding skills.
Comprehensive introduction to Python. It covers a wide range of topics, from the basics of Python to more advanced topics like object-oriented programming and data structures. It good choice for learners who want a more in-depth understanding of Python.
Gentle introduction to Python. It covers the basics of Python, including variables, data types, control flow, and functions. It good choice for learners who are new to programming.
Is an introduction to object-oriented programming in Python. It covers the basics of object-oriented programming, including classes, objects, and inheritance. It good choice for learners who want to learn how to use object-oriented programming in Python.
Is an introduction to data science in Python. It covers a wide range of topics, from the basics of data science to more advanced topics like machine learning and deep learning. It good choice for learners who want to learn how to use Python for data science.
Is an introduction to machine learning in Python. It covers a wide range of topics, from the basics of machine learning to more advanced topics like deep learning and reinforcement learning. It good choice for learners who want to learn how to use Python for machine learning.

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