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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

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.

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Bootcamp level quality

Complete hands-on projects and get personalized feedback with Udacity.

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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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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Reviews summary

Practical python ii for application development

According to learners, 'Introduction to Programming with Python II' is a highly effective and practical course for those looking to advance their Python skills beyond the basics. Students consistently praise the hands-on exercises and the engaging final project for their role in solidifying concepts. The curriculum's focus on Web APIs, JSON manipulation, and file operations is frequently highlighted as directly applicable to real-world scenarios. While the instructors deliver clear explanations, some feedback suggests the Object-Oriented Programming (OOP) segment could benefit from deeper exploration. Overall, it provides a solid foundation for building more complex Python applications.

Generally well-paced, but some desire more advanced challenges.

"Sometimes the pace was a little fast, but rewatching videos helped."

"I wish there were more advanced challenges for each topic."

"The Rock Paper Scissors game was fun, but quite simple."

"The assignments were challenging but fair."

Requires a solid basic Python foundation, not for true beginners.

"I came in with basic Python knowledge and now feel confident in building more complex applications."

"I struggled a lot with this course. While it says 'Python II', the assumed prior knowledge felt much higher than just 'basic Python'."

"The prerequisites are accurate; you need basic Python."

"Good for absolute beginners, maybe too simple for those with some experience."

Instructors are generally clear and effective in explaining concepts.

"The instructor was clear and concise."

"The instructors break down complex topics well."

"The instructors did a good job explaining complex topics."

Covers essential advanced Python topics useful for real-world work.

"This course significantly enhanced my understanding of Python's advanced features, especially working with web APIs and object-oriented programming."

"The file I/O and JSON manipulation sections were particularly useful for my data analysis work."

"The web API and JSON part was extremely relevant to my job."

"The API calls and data manipulation using JSON were exactly what I needed."

Hands-on coding and real-world application are highly praised.

"The Rock Paper Scissors project was a fun and practical way to apply what I learned."

"Excellent course! The hands-on exercises and the final project really solidified the concepts."

"I found the practical application through the API interactions very helpful."

"The hands-on project was perfect for consolidating learning."

The Object-Oriented Programming (OOP) section could be more comprehensive.

"I felt the OOP section could have gone a bit deeper, but it laid a good foundation."

"The content on file operations and APIs was good, but the OOP felt rushed. I had to do a lot of external research..."

"I struggled a lot with this course... The OOP section was confusing and I spent more time debugging than learning."

"Some parts, like advanced OOP concepts, could have been expanded on."

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 Introduction to Programming with Python II with these activities:

Review basic Python syntax

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Reviewing basic Python syntax will enhance understanding of advanced Python concepts covered in this course.

Browse courses on Python

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Read through Python documentation on data types, variables, and operators.
Complete online tutorials on basic Python syntax.
Solve practice problems involving basic Python syntax.

Read 'Python Algorithms' by Magnus Lie Hetland

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Reading 'Python Algorithms' will provide a solid foundation in Python algorithms and data structures.

View Beginning Python: From Novice to Professional on Amazon

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Acquire a copy of 'Python Algorithms'.
Read and understand key concepts.
Solve practice problems.

Follow online tutorials on advanced Python topics

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Following online tutorials will provide additional insights and practice on advanced Python concepts.

Browse courses on Python

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Identify reputable online platforms or instructors.
Select tutorials that cover advanced Python topics.
Complete tutorials and practice exercises.

Five other activities

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Solve Python coding challenges

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Solving Python coding challenges will strengthen problem-solving skills essential for advanced Python programming.

Browse courses on Coding

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Find online coding challenges or platforms (e.g., LeetCode, HackerRank).
Select Python-specific challenges.
Solve challenges and analyze solutions.

Attend Python workshops

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Attending Python workshops will provide an immersive learning experience and access to industry experts.

Browse courses on Python

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Find Python workshops in your area or online.
Register and attend workshops.
Participate actively and ask questions.

Participate in Python coding competitions

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Participating in Python coding competitions will enhance problem-solving skills and provide feedback on progress.

Browse courses on Competitive Programming

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Find Python coding competitions.
Practice solving Python coding challenges.
Participate in competitions and analyze results.

Build a Python project

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Building a Python project will provide practical experience in applying advanced Python concepts covered in the course.

Browse courses on Project-Based Learning

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Identify a project idea that aligns with course objectives.
Design and implement the project using Python.
Test and debug the project.
Document the project and share it with others.

Mentor junior Python learners

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Mentoring others will reinforce your understanding of Python and enhance your communication skills.

Browse courses on Python

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Identify opportunities to mentor junior Python learners.
Share your knowledge and experience.
Provide guidance and support.

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.

See salaries and explore the career path for Data Analyst

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.

See salaries and explore the career path for Software Engineer

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.

See salaries and explore the career path for Web Developer

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.

See salaries and explore the career path for Data Scientist

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.

See salaries and explore the career path for Machine Learning Engineer

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.

See salaries and explore the career path for Quantitative Analyst

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.

See salaries and explore the career path for Business Analyst

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.

See salaries and explore the career path for Data Engineer

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.

See salaries and explore the career path for Product Manager

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.

See salaries and explore the career path for DevOps Engineer

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.

See salaries and explore the career path for Project Manager

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.

See salaries and explore the career path for Marketing Analyst

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.

See salaries and explore the career path for Salesforce Administrator

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.

See salaries and explore the career path for Data Entry Clerk

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.

See salaries and explore the career path for Customer Service Representative

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.

Automate the Boring Stuff with Python, 2nd Edition

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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.

Introduction to Programming with Python II

Prerequisite details

Here's a deal for you

What's inside

Syllabus

Traffic lights

Save this course

Reviews summary

Practical python ii for application development

Activities

Career center

Reading list

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