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Basic Programming in Python I

Yizhen Zhao

This hands-on Python programming course offers students an opportunity to obtain proficiency in the core concepts of Python as well as the programming skills for building applications using tools from various task-specific Python libraries. The course covers important topics in computer science and information systems such as data types, reading and writing to standard IO, using operators, controlling the flow of execution, using functions, reading and writing Python source code files, basic object-oriented programming concepts, and more.

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This hands-on Python programming course offers students an opportunity to obtain proficiency in the core concepts of Python as well as the programming skills for building applications using tools from various task-specific Python libraries. The course covers important topics in computer science and information systems such as data types, reading and writing to standard IO, using operators, controlling the flow of execution, using functions, reading and writing Python source code files, basic object-oriented programming concepts, and more.

You will be introduced to preliminary topics in data science and explore the process of building a web application using Python. You will complete hands-on programming tasks using your creativity and learn how to apply Python to resolve real-world problems.

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What's inside

Syllabus

Python as a Programming Language
This module focuses on the fundamental steps needed to start your Python programming journey, such as learning about Python’s key features, installing Python, writing your first lines of code, and examining what it means to be a responsible programmer.
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Variables, Expressions, & Statements
This module focuses on the foundational Python concepts of variables, expressions, and statements. These concepts lay the groundwork for more advanced programming techniques and skills. In this week, you will learn about different data types, specifically integers, floats, strings, and booleans. You’ll also explore variable naming conventions in order to refine your syntax. Finally, you’ll examine different statement types, including assignment, conditional, and looping statements before you put your knowledge into practical application.
Conditionals & Logical Operators
This module focuses on the concepts of conditionals and logical operators in Python. Throughout this module, you will explore how conditionals and logical operators can be used for decision-making, control flow, error handling, and algorithm design. By the end of this module, you should be able to put your knowledge of conditionals and logical operators into practice by creating more dynamic code to solve real-world problems.
Basic Functions
This module will expand on the wide world of functions in Python. Throughout this module, you will refresh your knowledge on basic concepts such as defining functions before exploring new topics such as the scope and lifetime of variables, and function documentation and calling. From there, you will build on your understanding by learning about decorators and error handling. By the end of this module, you should be able to put your knowledge into practice by creating efficient functions that solve complex problems and handle errors with ease.
Python Loop Basics
In this module, you will further your knowledge of Python loops. First, you will start by refreshing your knowledge of for and while loops. From there, you will dive into more advanced loop concepts, such as using break and continue statements to enhance the functionality of loop behavior. By the end of this module, you should be able to put your knowledge into practice by creating loops that use control statements and conditionals for dynamic iteration.

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Explores Python as a programming language, conditionals and logical operators in Python, and teaches basic function use
Builds a strong foundation for beginners in Python programming
Develops proficiency in the core concepts of Python
Strengthens an existing foundation of the core concepts of Python
Teaches skills, knowledge, and tools that are highly relevant in an academic setting
Offers a comprehensive study of Python programming

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Career center

Learners who complete Basic Programming in Python I will develop knowledge and skills that may be useful to these careers:
Web Developer
Web Developers are responsible for designing and developing websites and web applications. This course may be useful in your career as it covers the basics of Python, a popular programming language for web development. You'll also explore the process of building a web application using Python, which will give you practical experience in this field.
Information Systems Analyst
Information Systems Analysts are responsible for analyzing, designing, and implementing information systems. This course may be useful in your career as it covers important topics in computer science and information systems, such as data types, operators, control flow, and functions. You'll also gain experience in reading and writing Python source code files, which is a valuable skill for information systems analysts who need to work with data in various formats.
Data Analyst
Data Analysts are responsible for collecting, analyzing, and interpreting data to help organizations make informed decisions. This course may be useful in your career as it introduces you to preliminary topics in data science and explores the process of building a web application using Python. You'll also gain experience in reading and writing Python source code files, which is a valuable skill for data analysts who need to work with data in various formats.
Computer Programmer
Computer Programmers are responsible for writing, testing, and maintaining computer programs. This course may be useful in your career as it provides a solid foundation in Python, a versatile programming language used in various industries. You'll gain experience in data types, operators, control flow, and functions, all of which are essential concepts for computer programmers.
Software Engineer
As a Software Engineer, you'll be tasked with designing, developing, and maintaining software systems. This course may be useful in your career as it can help you build a foundation in Python, a widely-used programming language in the software industry. Through hands-on programming tasks, you'll gain experience in data types, operators, control flow, and functions, all of which are essential concepts for software development.
Database Administrator
Database Administrators are responsible for managing and maintaining databases. This course may be useful in your career as it provides a solid foundation in Python, a programming language that is often used for data manipulation and analysis. You'll also gain experience in reading and writing Python source code files, which is essential for database administrators who need to work with data in various formats.
Business Analyst
Business Analysts are responsible for analyzing business needs and developing solutions to improve efficiency. This course may be useful in your career as it provides a solid foundation in Python, a programming language that is increasingly used in business analytics. You'll also gain experience in data types, operators, control flow, and functions, all of which are essential concepts for business analysts who need to work with data.
Quality Assurance Analyst
Quality Assurance Analysts are responsible for testing and ensuring the quality of software products. This course may be useful in your career as it provides a solid foundation in Python, a programming language that is often used for software testing. You'll also gain experience in data types, operators, control flow, and functions, all of which are essential concepts for quality assurance analysts who need to work with data.
Technical Writer
Technical Writers are responsible for creating and maintaining technical documentation. This course may be useful in your career as it provides a solid foundation in Python, a programming language that is often used for creating technical documentation. You'll also gain experience in reading and writing Python source code files, which is essential for technical writers who need to work with technical information.
Systems Administrator
Systems Administrators are responsible for managing and maintaining computer systems. This course may be useful in your career as it provides a solid foundation in Python, a programming language that is often used for system administration tasks. You'll also gain experience in data types, operators, control flow, and functions, all of which are essential concepts for systems administrators who need to work with data.
Project Manager
Project Managers are responsible for planning, organizing, and executing projects. This course may be useful in your career as it provides a solid foundation in Python, a programming language that is often used for project management tasks. You'll also gain experience in data types, operators, control flow, and functions, all of which are essential concepts for project managers who need to work with data.
Computer Science Professor
Computer Science Professors are responsible for teaching and researching computer science. This course may be useful in your career as it provides a solid foundation in Python, a programming language that is widely used in computer science education. However, it's important to note that this course does not cover advanced concepts in computer science, so you may need additional training or education to qualify for this role.
Machine Learning Engineer
Machine Learning Engineers are responsible for designing, developing, and deploying machine learning models. This course may be useful in your career as it introduces you to preliminary topics in data science and explores the process of building a web application using Python. However, it's important to note that this course does not cover advanced concepts in machine learning, so you may need additional training or education to qualify for this role.
Software Architect
Software Architects are responsible for designing and developing software systems. This course may be useful in your career as it provides a solid foundation in Python, a programming language that is often used for software development. However, it's important to note that this course does not cover advanced concepts in software architecture, so you may need additional training or education to qualify for this role.
Data Scientist
Data Scientists are responsible for collecting, analyzing, and interpreting data to help organizations make informed decisions. This course may be useful in your career as it introduces you to preliminary topics in data science and explores the process of building a web application using Python. You'll also gain experience in reading and writing Python source code files, which is a valuable skill for data scientists who need to work with data in various formats.

Reading list

We've selected 14 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 Basic Programming in Python I.
Provides a comprehensive guide to automating tasks with Python, covering topics such as web scraping, data analysis, and file manipulation. It is suitable for beginners who want to learn practical Python applications.
Is designed as a comprehensive textbook for introductory computer science courses, using Python as the programming language. It covers a wide range of topics, including data structures, algorithms, and software design.
Provides a practical introduction to using Python for data analysis. It covers topics such as data cleaning, data transformation, and data visualization.
More advanced guide to Python programming, covering topics such as metaprogramming, decorators, and generators. It is suitable for experienced Python programmers who want to deepen their understanding of the language.
Provides a collection of practical recipes for solving common Python programming problems. It valuable reference tool for experienced Python programmers who want to quickly find solutions to specific tasks.
Provides a comprehensive guide to data science using Python. It covers topics such as data wrangling, data analysis, and data visualization.
Provides a comprehensive guide to deep learning using Python. It covers topics such as neural networks, convolutional neural networks, and recurrent neural networks.
Provides a comprehensive guide to natural language processing using Python. It covers topics such as text preprocessing, text classification, and machine translation.
Provides a practical guide to using Python for financial data analysis and modeling. It covers topics such as data collection, data visualization, and financial modeling.
Provides a comprehensive overview of the Python standard library. It covers a wide range of modules and functions, and valuable reference tool for experienced Python programmers who want to make the most of the Python ecosystem.
Concise reference guide for Python programming. It covers a wide range of topics, including the Python standard library, data structures, and algorithms.

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