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Introduction to Python

Learning Python gives the programmer a wide variety of career paths to choose from. Python is an open-source (free) programming language that is used in web programming, data science, artificial intelligence, and many scientific applications. Learning Python allows the programmer to focus on solving problems, rather than focusing on syntax. Its relative size and simplified syntax give it an edge over languages like Java and C++, yet the abundance of libraries gives it the power needed to accomplish great things.

In this tutorial you will create a guessing game application that pits the computer against the user. You will create variables, decision constructs, and loops in python to create the game.

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Syllabus

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Emphasizes hands-on learning through a guessing game application, fostering practical skills

Suitable for learners seeking a strong foundation in Python's core concepts

Covers essential topics in Python, including variables, decision constructs, and loops

Taught by David Dalsveen, an experienced professional in the field

Provides a simplified introduction to Python's syntax, making it accessible to beginners

Best suited for learners based in the North America region due to regional availability

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Reviews summary

Ideal first step into python basics

According to learners, this course is an excellent starting point for absolute beginners looking to learn Python, offering a clear and concise introduction to fundamental programming concepts. Many highlight the hands-on guessing game project as particularly effective for solidifying understanding of variables, loops, and conditionals. While praised for its beginner-friendly approach and manageable pace, some learners found it too basic if they had prior coding experience. It provides a solid foundational understanding but students note it is not sufficient for advanced applications, requiring further study. A few students reported technical issues with the Coursera Labs environment, particularly outside North America, which could be a minor hurdle for some.

The guessing game effectively teaches core concepts.

"The guessing game project made it easy to understand variables, loops, and conditionals, which was very helpful."

"The practical application of the guessing game was really effective for solidifying my understanding of core Python."

"Short, sweet, and to the point. Great for getting a feel for Python syntax and fundamental concepts like if/else and while loops."

A highly recommended first step into Python.

"As a complete beginner, this course was perfect! The explanations were clear, and the guessing game project made it easy to understand variables, loops, and conditionals."

"Excellent introduction. The instructor's pace was just right, and the hands-on coding really helped. I finally feel like I grasp the basics of Python."

"Very accessible course, even for someone with no prior programming experience. I finally feel like I grasp the basics."

Mostly clear, but some find it too fast.

"Decent introduction to Python, but I found some parts moved a bit quickly for a complete novice. Had to rewatch some sections."

"Not well-explained in places. The instructor went too fast, and the debugging process wasn't always clear."

"While it covered the basics, I struggled with the rapid pace; the explanations sometimes assumed too much prior knowledge."

Technical problems for learners outside North America.

"I encountered some issues with the Coursera Labs environment outside North America, which made it harder to follow along perfectly."

"The regional lock on the lab environment is extremely annoying and made the course difficult to complete certain tasks."

"My only minor issue was occasional lag in the online environment, making some exercises frustrating to run."

Provides basics but insufficient for complex projects.

"It's a good foundation, but it's very introductory. Don't expect to build complex apps after this; you'll need more advanced courses."

"Too basic for me, I already knew some programming. This is strictly for absolute beginners."

"I finished it quickly but didn't learn much new, as I had some prior programming knowledge and sought more depth."

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 Python with these activities:

Learn Python Basics

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Familiarize yourself with the fundamentals of Python programming.

Browse courses on Python Basics

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Find video tutorials on Python basics.
Follow along and practice the code examples.
Complete the practice exercises and quizzes.

Compile Python Resources

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Organize and expand your Python knowledge base.

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Gather useful Python resources (e.g., tutorials, documentation, tools).
Organize and categorize the resources.
Share your resource collection with others.

Build a Simple Python Project

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Apply your Python knowledge by creating a practical project.

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Identify a problem or need that you can solve with Python.
Design and plan your project.
Write your Python code.
Test and debug your project.
Document your project and share it with others.

Show all three activities

Career center

Learners who complete Introduction to Python will develop knowledge and skills that may be useful to these careers:

Data Scientist

Data Scientists have the primary responsibility of handling the vast amounts of information generated daily in the world. They use their knowledge of programming, statistics, and business principles to analyze data and turn it into useful insights that businesses can use to improve their operations. Python is commonly used in data science, as the language offers a wide range of powerful libraries for data manipulation and analysis. Python is additionally used to build machine learning models and to perform data visualization. This course provides the foundational knowledge and practical skills to become a successful Data Scientist.

See salaries and explore the career path for Data Scientist

Software Engineer

Software Engineers apply their programming skills to build, maintain, and improve software systems. They work on both the front-end (user-facing) and back-end (server-side) of applications. Software Engineers commonly use Python for web development, as it is a versatile language that can be used for both front-end and backend development. The course provides a strong foundation in Python programming, which will be useful for aspiring Software Engineers.

See salaries and explore the career path for Software Engineer

Web Developer

Web Developers are responsible for designing, developing, and maintaining websites and web applications. They work on both the front-end (user-facing) and back-end (server-side) of websites. Web Developers commonly use Python for web development, as it is a versatile language that can be used for both front-end and backend development. The course provides a strong foundation in Python programming, which will be useful for aspiring Web Developers.

See salaries and explore the career path for Web Developer

Data Analyst

Data Analysts collect, clean, and analyze data to help businesses make informed decisions. They use their programming skills to manage, analyze, and interpret data. Python is a popular programming language for data analysis, as there are a variety of powerful libraries available that can be used for data manipulation and visualization. This course provides a strong foundation in Python programming, which will be useful for aspiring Data Analysts.

See salaries and explore the career path for Data Analyst

Machine Learning Engineer

Machine Learning Engineers develop and implement machine learning models to solve business problems. They use their knowledge of programming, mathematics, and statistics to build and maintain machine learning systems. Python is a widely used programming language for machine learning, as it is a versatile language that provides a wide range of powerful libraries for data manipulation, modeling, and visualization. This course provides a strong foundation in Python programming, which will be useful for aspiring Machine Learning Engineers.

See salaries and explore the career path for Machine Learning Engineer

Quantitative Analyst

Quantitative Analysts use mathematical and statistical models to analyze financial and economic data to develop recommendations for investments. They use their programming skills to build and maintain financial models. Python is a popular programming language for quantitative analysts, as there are a variety of libraries available that can be used for data analysis, visualization, and modeling. This course provides a strong foundation in Python programming, which will be useful for aspiring Quantitative Analysts.

See salaries and explore the career path for Quantitative Analyst

Financial Analyst

Financial Analysts analyze financial data and make recommendations for investments. They use their programming skills to build and maintain financial models. Python is a common programming language for financial analysts, as there are a variety of libraries available that can be used for data analysis and visualization. This course provides a strong foundation in Python programming, which will be useful for aspiring Financial Analysts.

See salaries and explore the career path for Financial Analyst

Business Analyst

Business Analysts use their analytical skills to identify and solve business problems. They work with both business and technical stakeholders to gather requirements, analyze data, and develop solutions. Python is a useful programming language for business analysts, as it can be used for data analysis, visualization, and modeling. This course provides a foundation in Python programming, which may be useful for aspiring Business Analysts.

See salaries and explore the career path for Business Analyst

Systems Analyst

Systems Analysts design, develop, and maintain computer systems. They work with both business and technical stakeholders to gather requirements, analyze data, and develop solutions. Python is a useful programming language for systems analysts, as it can be used for data analysis, visualization, and modeling. This course provides a foundation in Python programming, which may be useful for aspiring Systems Analysts.

See salaries and explore the career path for Systems Analyst

Operations Analyst

Operations Analysts use their analytical skills to identify and solve business problems. They work with both business and technical stakeholders to gather requirements, analyze data, and develop solutions. Python is a useful programming language for operations analysts, as it can be used for data analysis, visualization, and modeling. This course provides a foundation in Python programming, which may be useful for aspiring Operations Analysts.

See salaries and explore the career path for Operations Analyst

Product Manager

Product Managers research, develop, and market new products or features. They work with both business and technical stakeholders to gather requirements, analyze data, and develop solutions. Python is a useful programming language for product managers, as it can be used for data analysis, visualization, and modeling. This course provides a foundation in Python programming, which may be useful for aspiring Product Managers.

See salaries and explore the career path for Product Manager

Project Manager

Project Managers plan, execute, and close projects. They work with both business and technical stakeholders to gather requirements, analyze data, and develop solutions. Python is a useful programming language for project managers, as it can be used for data analysis, visualization, and modeling. This course provides a foundation in Python programming, which may be useful for aspiring Project Managers.

See salaries and explore the career path for Project Manager

Data Engineer

Data Engineers design, build, and maintain data pipelines. They work with both business and technical stakeholders to gather requirements, analyze data, and develop solutions. Python is a useful programming language for data engineers, as it can be used for data analysis, visualization, and modeling. This course provides a foundation in Python programming, which may be useful for aspiring Data Engineers.

See salaries and explore the career path for Data Engineer

Information Security Analyst

Information Security Analysts protect computer systems and networks from unauthorized access. They work with both business and technical stakeholders to gather requirements, analyze data, and develop solutions. Python is a useful programming language for information security analysts, as it can be used for data analysis, visualization, and modeling. This course provides a foundation in Python programming, which may be useful for aspiring Information Security Analysts.

See salaries and explore the career path for Information Security Analyst

Computer Scientist

Computer Scientists design, develop, and implement computer systems and applications. They work on a variety of projects, from developing new programming languages to designing new algorithms. Python is a popular programming language for computer scientists, as it is a versatile language that can be used for a wide range of applications. This course provides a strong foundation in Python programming, which may be useful for aspiring Computer Scientists.

See salaries and explore the career path for Computer Scientist

Reading list

We've selected 11 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 Python.

Python Crash Course, 3rd Edition

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Great way to learn Python quickly, and it comes with a number of projects that you can work on.

Introduction to Python

Here's a deal for you

What's inside

Syllabus

Traffic lights

Save this course

Reviews summary

Ideal first step into python basics

Activities

Career center

Reading list

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