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Introduction to Python Development

This course is designed to teach you how to program using Python. We'll cover the building blocks of the language, programming design fundamentals, how to use the standard library, third-party packages, and how to create Python projects. In the end, you should have a grasp of how to program. By the time you've finished this course, you will be able to: * Read, write, and understand Python code. * Understand the basics of object-oriented programming (OOP). * Utilize Python as a primary language for tooling. * Develop Python projects from start to finish.

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Covers the basics of object-oriented programming, which is standard in the industry

Suitable for learners with no prior programming experience

Taught by a reputable organization in the field

Provides a comprehensive introduction to Python programming, covering both theoretical concepts and practical applications

Offers hands-on labs and interactive materials, promoting active learning

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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 Development with these activities:

Review Python concepts before taking the course

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Brush up on your Python knowledge to ensure a strong foundation for the course.

Browse courses on Python Basics

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Go through your previous Python notes or materials.
Take practice quizzes or solve coding problems to test your understanding.

Join a Python study group

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Collaborate with other Python learners to discuss concepts, share knowledge, and solve problems together.

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Find a Python study group or online community.
Attend regular meetings or discussions.
Participate actively in discussions and ask questions.

Follow tutorials on specific Python topics

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Seek out tutorials that focus on specific areas of Python to enhance your knowledge and skills.

Browse courses on Python Syntax

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Identify a specific Python topic you want to improve in.
Find reputable online tutorials or courses that cover that topic.
Follow the tutorials step-by-step and practice the concepts covered.

Four other activities

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Develop a Python script to automate a task

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Create a Python script that automates a repetitive or time-consuming task to enhance your productivity and efficiency.

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Identify a task that can be automated using Python.
Write a Python script that performs the task automatically.
Test and refine the script to ensure it works reliably.

Coding challenges

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Practice writing Python code to solidify your understanding of the language and its features.

Browse courses on Python Coding

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Join an online coding challenge platform and solve problems regularly.
Start a personal coding project and set deadlines for completing different milestones.

Build a Python project from scratch

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Apply your Python skills to create a practical project that showcases your abilities and deepens your understanding.

Browse courses on Software Development

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Identify a project idea that aligns with your interests and skill level.
Plan and design the project, including its features and functionality.
Implement the project using Python, following best practices and coding standards.
Test and debug the project to ensure it works correctly.

Contribute to a Python open-source project

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Join the Python open-source community by contributing to a project and gaining practical experience in collaboration and code review.

Browse courses on Software Development

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Find an open-source Python project that aligns with your interests.
Identify an area where you can contribute, such as bug fixes, feature enhancements, or documentation.
Submit a pull request with your code changes and follow the project's contribution guidelines.

Career center

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

Software Engineer

A Software Engineer designs, develops, and maintains software systems. This course can help prepare someone for a career in software engineering by teaching them the basics of programming using Python, a widely-used language in the industry. Additionally, the course will cover problem solving and programming fundamentals, essential skills for Software Engineers.

See salaries and explore the career path for Software Engineer

Quantitative Analyst

A Quantitative Analyst develops and uses mathematical and statistical models to assess risk and make investment decisions. This course may be useful for a Quantitative Analyst as it provides a foundation in Python, a language often used for data analysis and modeling. The course will also provide knowledge in problem solving and programming fundamentals, useful for developing and implementing models.

See salaries and explore the career path for Quantitative Analyst

Systems Analyst

A Systems Analyst studies the current business processes of an organization, and designs and implements new or improved systems based on identified inefficiencies. This course can help someone prepare for a career in systems analysis by teaching the basics of problem solving and programming fundamentals, which are essential for understanding and designing systems. Additionally, the course will provide a foundation in Python, a language often used for scripting and automating tasks, common in systems analysis.

See salaries and explore the career path for Systems Analyst

Web Developer

A Web Developer designs and develops websites. They use programming languages like Python to create dynamic, interactive web pages. This course may be useful for a Web Developer as it will provide a foundation in Python and programming fundamentals, essential skills for this career role. The course will also provide knowledge in problem solving, crucial for web development.

See salaries and explore the career path for Web Developer

Machine Learning Engineer

A Machine Learning Engineer designs, develops, and maintains machine learning models. This course may be useful for a Machine Learning Engineer as it provides a foundation in Python, a language often used for machine learning and data science. The course will also provide knowledge in problem solving and programming fundamentals, useful for developing and implementing machine learning models.

See salaries and explore the career path for Machine Learning Engineer

Data Engineer

A Data Engineer designs, develops, and maintains data pipelines. This course may be useful for a Data Engineer as it provides a foundation in Python, a language often used for data engineering and data pipelines. The course will also provide knowledge in problem solving and programming fundamentals, useful for developing and implementing data engineering solutions.

See salaries and explore the career path for Data Engineer

Data Scientist

A Data Scientist uses scientific methods, processes, algorithms, and systems to extract knowledge and insights from data in various forms, both structured and unstructured. This course may be useful for a Data Scientist as it can help build a foundation in Python, a language often used for data analysis and data science. The course will also provide knowledge in problem solving and programming fundamentals, useful for manipulating data.

See salaries and explore the career path for Data Scientist

Data Analyst

A Data Analyst gathers, cleans, and interprets data. Using statistical methods, they extract meaningful insights and communicate their findings to stakeholders. This course may be useful for a Data Analyst as it can help build a foundation in Python, a language often used for data analysis and data science. The course will also provide knowledge in problem solving and programming fundamentals, useful for manipulating data.

See salaries and explore the career path for Data Analyst

Cloud Engineer

A Cloud Engineer designs, develops, and maintains cloud computing systems. This course may be useful for a Cloud Engineer as it provides a foundation in Python, a language often used for cloud computing and automation. The course will also provide knowledge in problem solving and programming fundamentals, useful for developing and implementing cloud computing solutions.

See salaries and explore the career path for Cloud Engineer

DevOps Engineer

A DevOps Engineer automates and integrates the processes between software development and IT teams. This course may be useful for a DevOps Engineer as it provides a foundation in Python, a language often used for scripting and automation. The course will also provide knowledge in problem solving and programming fundamentals, useful for developing and implementing automation scripts.

See salaries and explore the career path for DevOps Engineer

Security Analyst

A Security Analyst monitors and analyzes security systems to identify and mitigate threats. This course may be useful for a Security Analyst as it provides a foundation in Python, a language often used for security scripting and automation. The course will also provide knowledge in problem solving and programming fundamentals, useful for developing and implementing security solutions.

See salaries and explore the career path for Security Analyst

Product Manager

A Product Manager is responsible for the overall success of a product. They work with cross-functional teams such as engineering, design, and marketing to gather requirements, define product vision, and oversee the development of a product or a feature. This course can provide knowledge in problem solving and programming fundamentals, useful for working with technical teams to develop a product or a feature. Additionally, the course provides a foundation in Python, a language commonly used for scripting and automation, crucial in product development.

See salaries and explore the career path for Product Manager

Network Engineer

A Network Engineer designs, develops, and maintains computer networks. This course may be useful for a Network Engineer as it provides a foundation in Python, a language often used for network automation and scripting. The course will also provide knowledge in problem solving and programming fundamentals, useful for developing and implementing network automation solutions.

See salaries and explore the career path for Network Engineer

Database Administrator

A Database Administrator manages and maintains databases. This course may be useful for a Database Administrator as it provides a foundation in Python, a language often used for database scripting and automation. The course will also provide knowledge in problem solving and programming fundamentals, useful for developing and implementing database scripts.

See salaries and explore the career path for Database Administrator

Business Analyst

A Business Analyst works with stakeholders to gather requirements, analyze business needs, and design and implement solutions that align with the organization's objectives. This course can be useful for someone aspiring to become a Business Analyst as it can provide knowledge in problem solving and programming fundamentals, useful for understanding business processes and designing solutions. Additionally, the course will provide a foundation in Python, a language often used for scripting and automating tasks, common in business analysis.

See salaries and explore the career path for Business Analyst

Reading list

We've selected 15 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 Development.

Python Programming

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This textbook provides a comprehensive overview of Python programming, covering fundamental concepts, data structures, algorithms, and object-oriented programming. It's a good choice for those looking for a more formal and in-depth introduction to Python.

Introduction to Python Development

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