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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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What's inside

Syllabus

Introduction to Python

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

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

Python programming basics

Learners say this introductory Python course is largely positive and good for beginners. The course is structured as a guided project where you will build a simple game. Through this hands-on experience, you will learn the basics of Python, including variables, decision constructs, looping, and functions. The course is well-structured and engaging, with a clear and concise instructor. However, some learners found the pace of the course to be a bit too fast and the Rhyme cloud learning environment to be somewhat glitchy. Overall, this course is a good introduction to Python for those with little to no prior programming experience.

The course is relatively short, which is a good thing for beginners who may not have a lot of time to commit to learning Python.

"This course was very properly deliver all contend that I want to learn. "

"It was a quick way to get to know the programming language. I took that to found out what is guide project is. Cool! Coursera is great. Thx."

This course is an introduction to Python programming. It is structured as a guided project where you will build a simple game.

"It's an exhilarating experience highly recommend to students who wanna pursue a career in IT"

"Amazing! But its your duty to know about the basics of python pragramming before"

" This course was pretty challenging yet it was fun to take the lab simultaneously to apply the knowledge gained by the lecture. "

The course is taught through a series of hands-on exercises. This approach is effective in helping learners understand the concepts of Python.

"I have used python only a few times and this interactive course reminded me some basic foundations to start again working on this wonderful program!"

"It was very hands on. if you truly focus on the project, you will learn a lot."

"The course is at it best with a visual studio python a learner could learn easily with it and I found it very interesting as I could write and run the program just while learning itself."

The course is designed for beginners with little to no prior programming experience. The instructor does a good job of explaining the concepts in a clear and concise way.

"it was so good ...it help to sharpen in knowledege and practice my skills"

"This course gives me chance to go one step up from our dream"

"Best choice for start learning Python Basics in very easy way with side way practice."

The course uses the Rhyme cloud learning environment. This environment can be glitchy at times, which can be frustrating for learners.

"This course tells me how to do simplified python programming. However, it does not include classes and object structure but gives me a basic understanding."

"There were many glitches during the course, the video stopped a bunch of times. Otherwise, it was a very fun course to do. The instructions were very clear."

"You should include more to learn. this was a very short course. seems like this is just to get certification for the people who beforehand know to use python"

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

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

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

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

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

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

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

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

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

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

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

Two deals to help you save

What's inside

Syllabus

Good to know

Save this course

Reviews summary

Python programming basics

Activities

Career center

Reading list

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