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Ed Freitas

Manipulating files and folders are essential aspects of working with Python. This course teaches you how to apply the most useful and common file and folder operations available with the standard library and can be created using Python.

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Manipulating files and folders are essential aspects of working with Python. This course teaches you how to apply the most useful and common file and folder operations available with the standard library and can be created using Python.

The Python standard library has several built-in modules which contain a series of functions for handling files and are part of several modules, such as os, path, shutil, and pathlib. The Python standard library is among the top libraries that every Python developer must know and master. In this course, Working with Files in Python 3, you’ll learn the skills and practices you need to work and manipulate files and folders in Python easily. First, you’ll explore how to find files in Python by using string methods and pattern-matching techniques. Next, you’ll discover how to perform various file and folder operations, such as copying, moving, renaming, deleting, archiving, traversing, and more. Finally, you’ll learn how to read and write text, CSV, XML, JSON, and Pickle files, some of the most common existing file types. When you’re finished with this course, you’ll have the skills and knowledge of Working with Files in Python 3 needed to work successfully with files and folders using Python.

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What's inside

Syllabus

Course Overview
Finding Files
Working with Files and Folders
Archiving Files
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Reading and Writing Files

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Explores file and folder management in Python, a valuable skill for many fields
Taught by Ed Freitas, who has a strong reputation as a Python instructor
Covers essential Python file and folder operations, such as copying, moving, and archiving
Helps learners develop skills in working with common file types, including JSON and Pickle
Introduces techniques for finding and searching for files using Python

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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 Working with Files in Python 3 with these activities:
Review notes on file and folder management in Python
Refresh your memory on the basics of file and folder management before starting the course.
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  • Gather notes on file and folder management
  • Review notes and summarize key concepts
Review basic Python syntax
Refreshes your memory on the fundamental syntax of Python, ensuring a solid foundation for the course.
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  • Review Python data types and their usage
  • Practice writing simple Python expressions and statements
  • Complete coding exercises to reinforce syntax understanding
Organize and review course materials
Strengthens your understanding of the course content by reinforcing the concepts covered in the lectures and readings.
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  • Review lecture notes, readings, and assignments
  • Take additional notes to enhance your understanding
  • Organize your materials in a logical and accessible manner
  • Regularly review your compiled materials to retain information
Eight other activities
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Execute basic file and folder operations on your computer
Reinforce your understanding of file and folder operations by performing them yourself.
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  • Create a new folder and subfolder
  • Copy and move files between folders
  • Rename and delete files and folders
Follow Python tutorials on file handling
Provides hands-on practice in implementing file operations using Python, complementing the concepts covered in the course.
Browse courses on File IO
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  • Find online tutorials on Python file handling
  • Follow the tutorials step-by-step, practicing the code examples
  • Modify the code examples to experiment with different file operations
Attend online Python community events
Expands your professional network, enables you to connect with peers, and gain insights from experienced Python developers.
Browse courses on Python
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  • Find online Python community events or meetups
  • Attend the events and actively participate in discussions
  • Exchange knowledge and ideas with other Python enthusiasts
Solve exercises on file handling techniques
Strengthens your proficiency in file handling by solving challenging exercises, testing your understanding and problem-solving skills.
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  • Find online exercise platforms or resources with Python file handling exercises
  • Attempt to solve the exercises independently, referring to course materials as needed
  • Review your solutions and identify areas for improvement
Develop a Python script to automate a file-related task
Apply your skills in file and folder management by creating a useful Python script.
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  • Identify a file-related task to automate
  • Design and develop a Python script
  • Test and refine the script
Create a Python script to automate a file management task
Applies your knowledge of Python file handling to a practical scenario, developing a real-world application and reinforcing your skills.
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  • Identify a file management task that you want to automate
  • Design the logic and structure of your Python script
  • Implement the script, incorporating file handling operations
  • Test and refine your script to ensure its functionality
Become a mentor or tutor for Python beginners
Reinforces your understanding of Python concepts by explaining them to others and strengthens your communication and teaching skills.
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  • Join online tutoring platforms or find individuals who need help with Python
  • Prepare your lessons and materials
  • Provide guidance and support to your mentees
  • Reflect on your own understanding as you teach others
Develop a Python library or module for file handling
Demonstrates your mastery of Python file handling by creating a reusable component that extends the capabilities of the Python ecosystem.
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  • Identify a need or opportunity for a new Python library or module
  • Design and implement the library or module, ensuring code quality and documentation
  • Publish your library or module on platforms like PyPI
  • Promote and share your library or module with the Python community

Career center

Learners who complete Working with Files in Python 3 will develop knowledge and skills that may be useful to these careers:
Data Analyst
Working with Files in Python 3 is an ideal course for aspiring Data Analysts. You will learn how to automate common data tasks like finding, reading, and writing text, CSV, XML, JSON, and Pickle files. Even if you are already a Data Analyst, this course will help you enhance your skills with essential practices needed to work and manipulate files and folders. With its hands-on approach, this course will provide you with the proficiency you need for your career as a Data Analyst, helping you to work efficiently with data and leverage it for valuable insights.
Data Engineer
Working with Files in Python 3 is beneficial to a Data Engineer as it covers various aspects of working with files and folders using Python, including copying, moving, renaming, deleting, archiving, and traversing. Understanding these file operations is crucial for effective data management and engineering. By taking this course, you will gain practical skills in file handling, enhancing your efficiency in organizing, processing, and transforming data. This will be particularly useful as you design and implement data pipelines and manage data storage systems.
Software Developer
Working with Files in Python 3 provides a solid foundation for Software Developers. The course teaches how to effectively read, write, and manipulate files, which is a fundamental skill in software development. By learning how to work with common file types, handle file system operations, and navigate file systems programmatically, you will be well-equipped to develop robust and efficient software applications. This course will boost your productivity and enhance your capabilities in building and maintaining software systems.
DevOps Engineer
Working with Files in Python 3 is a valuable asset for DevOps Engineers. By gaining proficiency in file handling and manipulation techniques, you will be empowered to automate various tasks and streamline your workflow. The course covers essential concepts like finding files using string methods and pattern-matching techniques, file system operations, and working with different file types. With these skills, you can enhance your DevOps practices, improve collaboration, and ensure efficient deployment and management of software systems.
System Administrator
Working with Files in Python 3 offers valuable knowledge for System Administrators. The course covers essential skills for managing files and folders on a system, including copying, moving, renaming, and deleting files, as well as archiving and traversing file systems. By mastering these operations, you can automate routine tasks, improve system organization, and enhance your efficiency in maintaining and troubleshooting system issues. This course provides a practical foundation for System Administrators seeking to optimize system performance and ensure data integrity.
Data Scientist
Working with Files in Python 3 is an essential course for Data Scientists. It provides a comprehensive understanding of how to work with and manipulate files and folders in Python, including various file types and file operations. By gaining proficiency in these skills, you will be able to efficiently read, write, and analyze data from different sources, enabling you to extract valuable insights and build predictive models. This course will empower you to leverage Python's capabilities for data handling and strengthen your foundation as a Data Scientist.
Machine Learning Engineer
Working with Files in Python 3 is a useful course for Machine Learning Engineers. The course covers essential file handling skills, including finding files, performing file system operations, and working with different file types. By mastering these techniques, you can efficiently load and prepare data for machine learning models, automate data processing tasks, and manage files within machine learning projects. This course will complement your machine learning expertise and enhance your ability to build and deploy effective machine learning solutions.
IT Support Specialist
Working with Files in Python 3 is a valuable asset for IT Support Specialists. By learning how to work with files and folders in Python, you will enhance your ability to resolve user issues related to file management. The course covers essential file operations, including finding, copying, moving, and deleting files, as well as working with different file types. Gaining proficiency in these skills will enable you to provide efficient and effective support to users, ensuring smooth operation of IT systems and applications.
Database Administrator
Working with Files in Python 3 can be beneficial for Database Administrators. The course introduces techniques for finding and working with files and folders in Python, including file operations, archiving, and reading and writing files. By understanding these concepts, you can enhance your ability to manage and maintain database files, automate data backups and restores, and perform various file-related tasks within database administration. This course will provide you with practical skills that complement your database management expertise.
Cloud Engineer
Working with Files in Python 3 offers relevant knowledge for Cloud Engineers. The course covers essential file handling skills in Python, including file system operations, working with different file types, and archiving files. By gaining proficiency in these techniques, you can effectively manage files and data within cloud computing environments. This course will enhance your ability to provision and configure cloud storage, automate file transfer processes, and maintain data integrity in the cloud.
Network Administrator
Working with Files in Python 3 offers relevant skills for Network Administrators. The course covers essential file handling techniques in Python, including finding files, performing file system operations, and working with different file types. By gaining proficiency in these skills, you can effectively manage configuration files, automate file transfers, and troubleshoot file-related issues within network environments. This course will complement your network administration expertise and enhance your ability to maintain and optimize network performance.
Web Developer
Working with Files in Python 3 is a beneficial course for Web Developers. It provides a solid understanding of how to work with files and folders in Python, including finding files, performing file system operations, and working with different file types. By mastering these skills, you can efficiently manage website files, handle file uploads and downloads, and integrate file-related functionalities into your web applications. This course will empower you to build more robust and user-friendly web applications.
Information Security Analyst
Working with Files in Python 3 provides valuable knowledge for Information Security Analysts. The course covers essential file handling techniques in Python, including finding files, performing file system operations, and working with different file types. By gaining proficiency in these skills, you can effectively analyze and manage security-related files, automate incident response procedures, and perform file-based security audits. This course will enhance your ability to protect and defend against cyber threats.
Business Analyst
Working with Files in Python 3 may be useful for Business Analysts. The course provides a basic understanding of how to work with files and folders in Python, including finding files, performing file system operations, and working with different file types. While not directly related to core business analysis tasks, these skills may be helpful for managing and analyzing data files, automating data processing tasks, and extracting insights from various sources.
Project Manager
Working with Files in Python 3 may be useful for Project Managers. The course provides a basic understanding of how to work with files and folders in Python, including finding files, performing file system operations, and working with different file types. While not directly related to project management tasks, these skills may be helpful for managing project documentation, automating file-related tasks, and collaborating with team members on file-based deliverables.

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 Working with Files in Python 3.
For learning basic to advanced file and directory operations in Python, this cookbook has you covered. This text includes detailed examples that you can apply directly in your work in this course.
Comprehensive guide to Python programming, including an in-depth exploration of file handling. It also covers advanced topics like object-oriented programming and database connectivity, which can enhance your understanding of file-related operations.
Focuses on writing high-quality, efficient, and maintainable Python code. It includes best practices and patterns for file handling, which can help you develop robust and scalable file-based applications.
Provides an in-depth exploration of Python's advanced features, including file handling. It delves into topics like decorators, metaclasses, and generators, which can enhance your understanding of Python's capabilities for file-related operations.
As a complete beginner's guide to Python, this resource provides a thorough coverage of file handling concepts among other core Python topics. It is an excellent choice for building a solid foundation in Python programming.
Focuses on practical applications of Python programming, including file handling. It provides step-by-step instructions and real-world examples, making it a valuable resource for learning how to automate file-related tasks.
Provides a comprehensive overview of Python programming, covering file handling operations in detail. It also explores advanced topics like generators, decorators, and metaprogramming, which can help you develop a deeper understanding of Python's capabilities.
Comprehensive guide to using Python for data analysis, including file handling operations. It covers topics like data cleaning, wrangling, and visualization, which are essential for working with files in data analysis.
Provides an introduction to machine learning using Python, including file handling operations. It covers topics like data preprocessing, model training, and evaluation, which are essential for working with files in machine learning.
Comprehensive guide to deep learning using Python, including file handling operations. It covers topics like convolutional neural networks, recurrent neural networks, and generative adversarial networks, which are essential for working with files in deep learning.
Gentle introduction to Python programming, covering file handling operations among other core Python topics. It is suitable for absolute beginners who want to learn the basics of Python.
Free online textbook that provides a comprehensive introduction to Python programming, including file handling operations. It is suitable for beginners who want to learn Python for a variety of applications.

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