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This course covers Exam block #1: File Processing and Communicating with a Program’s Environment of the [PCPP-32-1: Certified Professional in Python Programming 1 Certification](https://pythoninstitute.org/certification/pcpp-certification-professional/pcpp-32-1-exam-syllabus/) certification exam. In this course, we cover the following topics: - Processing different kinds of files: - `sqlite3`: Interacting with SQLite databases - `xml`: Creating and processing XML files - `csv`: CSV file reading and writing - `logging`: The basic logging facility for Python - `configparser`: Configuration file parser - Communicating with a program’s environment: - `os`: Interacting with the operating system - `datetime`: Manipulating with dates and time - `io`: Working with streams - `time`: Time access and conversions

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Covers processing different kinds of files, database interactions, and working with streams
Provides guidance for communicating with a program’s environment, manipulating dates and time, and operating system interactions
Instructed by A Cloud Guru, a provider recognized for tech industry training

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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 File Processing and Environment Communication with Python with these activities:
Practice with SQLite databases
Practice working with SQLite databases to reinforce your understanding of data management and retrieval.
Browse courses on sqlite3
Show steps
  • Install SQLite
  • Create a new database
  • Create tables and insert data
  • Query the database
Work with XML files
Practice creating and processing XML files to enhance your understanding of data formatting and parsing.
Browse courses on XML
Show steps
  • Learn the basics of XML syntax
  • Create an XML document
  • Parse and extract data from an XML document
Read and write CSV files
Practice reading and writing CSV files to improve your skills in data manipulation and file handling.
Browse courses on CSV
Show steps
  • Understand the CSV file format
  • Read data from a CSV file
  • Write data to a CSV file
Five other activities
Expand to see all activities and additional details
Show all eight activities
Use logging to debug your code
Practice using logging to debug your code and identify potential issues more efficiently.
Browse courses on Logging
Show steps
  • Learn the basics of Python's logging module
  • Configure logging levels and handlers
  • Log messages and debug your code
Use configuration files to manage settings
Practice using configuration files to manage application settings and improve your ability to configure and maintain your code.
Show steps
  • Learn the basics of Python's configparser module
  • Read and write configuration files
  • Use configuration files in your applications
Interact with the operating system
Practice interacting with the operating system using Python to enhance your ability to automate tasks and work with system resources.
Browse courses on System Administration
Show steps
  • Learn the basics of Python's os module
  • List and navigate files and directories
  • Execute system commands
Manipulate dates and time
Practice manipulating dates and time in Python to enhance your ability to work with temporal data and perform time-sensitive operations.
Show steps
  • Learn the basics of Python's datetime module
  • Convert between different date and time formats
  • Perform date and time calculations
Work with streams for data input and output
Practice working with streams for data input and output in Python to enhance your ability to handle data in a more efficient and flexible way.
Browse courses on IO
Show steps
  • Learn the basics of Python's io module
  • Read and write to streams
  • Use streams for data serialization and deserialization

Career center

Learners who complete File Processing and Environment Communication with Python will develop knowledge and skills that may be useful to these careers:
File Clerk
This course may be useful for File Clerks. File Clerks must often work with files. Understanding how to store and manipulate files is therefore essential. The course covers how to work with files which is a key skill for this role.
Technical Writer
This course may be useful for Technical Writers. Technical Writers often work with files to write technical documentation. The course covers how to work with files which is a key skill for this role.
Network Administrator
This course may be useful for Network Administrators. Network Administrators often work with files to configure networks. The course covers how to work with files which is a key skill for this role.
Information Security Analyst
This course may be useful for Information Security Analysts. Information Security Analysts often work with files to identify security risks. The course covers how to work with files which is a key skill for this role.
Systems Administrator
This course may be useful for Systems Administrators. Systems Administrators often work with files to manage systems. The course covers how to work with files which is a key skill for this role.
IT Specialist
This course may be useful for IT Specialists. IT Specialists often work with files to troubleshoot problems, resolve issues, and implement solutions. The course covers how to work with files which is a key skill for this role.
Developer
This course may be useful for Developers. Developers use files to store data. Files are also used to store code. This course teaches skills that are applicable to these situations. The course covers how to work with files and databases which are essential tasks for Developers.
Programmer
This course may be useful for Programmers. Programmers use files to store data. Files are also used to store code. This course teaches skills that are applicable to these situations. The course covers how to work with files which is a key skill for this role.
Software Developer
This course may be useful for Software Developers. Software Developers use files to store data. Files are also used to store code. This course teaches skills that are applicable to these situations. The course covers how to work with files which is a key skill for this role.
Web Developer
This course may be useful for Web Developers. Web Developers use files to store website content. The course covers how to work with files which is a key skill for this role.
Software Engineer
This course may be useful for Software Engineers. Software Engineers use files to store data and code. The course covers how to work with files which is a key skill for this role.
Database Administrator
This course may be useful for Database Administrators. Database Administrators are responsible for managing databases. Databases are critical for storing data and ensuring that data can be retrieved and stored efficiently. This course teaches how to interact with databases which is a key skill for this role.
Database Architect
This course may be useful for Database Architects. Database Architects must often work with files to design and implement databases. The course covers how to work with databases which is a key skill for this role.
Data Scientist
This course may be useful for Data Scientists. Data Scientists must often work with files. Understanding how to store and manipulate files is therefore essential. Data is often stored in files. Before this data can be processed, it must be extracted from the file. Then, data must be cleaned, transformed, and processed. The course teaches how to work with databases also. Data Scientists often work with databases to gain insights from data. The course teaches the data acquisition and management skills necessary for this role.
Data Analyst
This course may be useful for Data Analysts. Data Analysts must often work with files. Understanding how to store and manipulate files is therefore essential. Data is often stored in files. Before this data can be processed, it must be extracted from the file. Then, data must be cleaned, transformed, and processed. The course teaches how to work with databases also. Data Analysts often work with databases to gain insights from data. The course teaches the data acquisition and management skills necessary for this role.

Reading list

We've selected ten 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 File Processing and Environment Communication with Python.
Provides a collection of practical recipes and examples covering various aspects of Python programming, including file processing and interacting with the operating system. It valuable reference for Python developers looking to solve specific problems.
Provides a comprehensive overview of Python for scientific and engineering applications. It covers file processing, data manipulation, and interaction with the operating system, making it a valuable resource for learners who want to use Python for these purposes.
Provides a practical and hands-on approach to Python programming, covering file processing, text manipulation, and web scraping. It valuable resource for learners who want to automate tasks and build useful scripts.
Provides a comprehensive introduction to computer science using Python, covering file processing and object-oriented programming. It good resource for learners who want to build a strong foundation in Python and computer science concepts.
While this book primarily focuses on data analysis, it also covers essential concepts for file processing, such as working with CSV files and interacting with the operating system. It provides a practical approach for learners interested in data analysis and data science.
Offers a visual and interactive approach to learning Python, covering file processing, working with databases, and networking. It beginner-friendly resource for learners who want to get started with Python quickly.
Focuses on practical Python programming and covers various topics, including file processing and interacting with the command line. It good resource for learners who want to improve their Python coding skills and learn best practices.
Offers a fast-paced and hands-on approach to learning Python, covering file processing and interacting with the command line. It good starting point for learners who want to get up and running with Python quickly.
While this book does not directly cover file processing or environment communication, it provides valuable insights into working with existing codebases, which can be beneficial for learners who encounter legacy code during their projects.

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