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Mastering Python Programming Training

What Mastering Python Programming training is all about?

Mastering Python Programming Training is developed to help professionals take their fundamental knowledge of running and writing Python scripts to the next level. This technical course contains comprehensive information on advanced features such as regular expressions, file operations, utilizing the extensive functionality of Python modules, and operating with binary data. In this course, you will learn how to work with the programming language more effectively and use Python to execute tasks using real world scenarios. It will help you read and write files with both binary and text data and make you familiar with the work-saving modules and standard library. Our enterprise training program is ideal for organizations and companies. Throughout this program, you will learn many essential aspects, such as understanding exception handling and writing robust code. It is suitable for professionals who want to gain in-depth knowledge of Python programming and individuals preparing for the Python Certification exam.


Contact us to customize this class with your preferred dates, times and location. You can call us on 1-800-961-0337 or Chat with our representative.

What are the course objectives for Mastering Python Programming training?
  • Understanding Python basic fundamental features such as iterators and comprehensions.
  • How to utilize collection likewise sets, lists and dictionaries.
  • How to write robust code utilizing exclusion handling.
  • How to create python application in real-world professionals.
  • How to utilize least known and powerful Python data structures.
  • How to be familiar with standard library along with work-saved modules.
  • How to function with calendars, time and dates.
  • How to replace and search texts with regular expressions.
  • How to utilize python data type appropriately.
  • How to write and read files with binary and text data.
  • How to work with Python scripts using best practices.
Who should attend Mastering Python Programming training?

This course is designed for system administrators and administrators having a good experience. However, the target audience for this training are administrators and service managers who are seeking to support the server installation with Python.

What is the course outline for Mastering Python Programming training?
  • 1. An Overview of Python
  • a). What is python?
  • b). An overview of Python
  • c). What is python?
  • d). Python Timeline
  • e). Advantages/Disadvantages of Python
  • f). Getting help with pydoc
  • 2. The Python Environment
  • a). Starting Python
  • b). Using the interpreter
  • c). Running a Python script
  • d). Python scripts on Unix/Windows
  • e). Editors and IDEs
  • 3. Getting Started
  • a). Using variables
  • b). Builtin functions
  • c). Strings
  • d). Numbers
  • e). Converting among types
  • f). Writing to the screen
  • g). Command line parameters
  • 4. Flow Control
  • a). About flow control
  • b). White space
  • c). Conditional expressions
  • d). Relational and Boolean operators
  • e). While loops
  • f). Alternate loop exits
  • 5. Sequences
  • a). About sequences
  • b). Lists and list methods
  • c). Tuples
  • d). Indexing and slicing
  • e). Iterating through a sequence
  • f). Sequence functions, keywords, and operators
  • g). List comprehensions
  • h). Generator Expressions
  • i). Nested sequences
  • 6. Working with Files
  • a). File overview
  • b). Opening a text file
  • c). Reading a text file
  • d). Writing to a text file
  • e). Reading and writing raw (binary) data
  • f). Converting binary data with struct
  • 7. Dictionaries and Sets
  • a). About dictionaries
  • b). Creating dictionaries
  • c). Iterating through a dictionary
  • d). About sets
  • e). Creating sets
  • f). Working with sets
  • 8. Functions
  • a). Defining functions
  • b). Parameters
  • c). Global and local scope
  • d). Nested functions
  • e). Returning values
  • 9. Sorting
  • a). The sorted() function
  • b). Alternate keys
  • c). Lambda functions
  • d). Sorting collections
  • e). Using operator.itemgetter()
  • f). Reverse sorting
  • 10. Errors and Exception Handling
  • a). Syntax errors
  • b). Exceptions
  • c). Using try/catch/else/finally
  • d). Handling multiple exceptions
  • e). Ignoring exceptions
  • 11. Modules and Packages
  • a). The import statement
  • b). Module search path
  • c). Creating Modules
  • d). Using packages
  • e). Function and Module aliases
  • 12. Classes
  • a). About o-o programming
  • b). Defining classes
  • c). Constructors
  • d). Methods
  • e). Instance data
  • f). Properties
  • g). Class methods and data
  • 13. Regular Expressions
  • a). RE syntax overview
  • b). RE Objects
  • c). Searching and matching
  • d). Compilation flags
  • e). Groups and special groups
  • f). Replacing text
  • g). Splitting strings
  • 14. The Standard Library
  • a). The sys module
  • b). Launching external programs
  • c). Math functions
  • d). Random numbers
  • e). The string module
  • f). Reading CSV data
  • 15. Dates and Times
  • a). Working with dates and times
  • b). Translating timestamps
  • c). Parsing dates from text
  • d). Formatting dates
  • e). Calendar data
  • 16. Working with File System
  • a). Paths, directories, and filenames
  • b). Checking for existence
  • c). Permissions and other file attributes
  • d). Walking directory trees
  • e). Creating filters with file input
  • f). Using shutil for file operations
  • 17. Advanced Data Handling
  • a). Defaultdict and Counter
  • b). Prettyprinting data structures
  • c). Compressed archives (zip, gzip, tar, etc.)
  • d). Persistent data
  • 18. Network services
  • a). Grabbing web content
  • b). Sending email
  • c). Using SSH for remote access
  • d). Using FTP
  • 19. Writing Real Life Application
  • a). Parsing command-line options
  • b). Detecting the current platform
  • c). Trapping signals
  • d). Implementing logging
  • e). Python Timeline Advantages/Disadvantages of Python

The Python Software Foundation, an independent non-profit organization, holds the copyright on Python versions. The organization is committed to advance open source Python programming language consistently and to make it more usable worldwide.

Python comes with a standard library to cover diverse areas like string processing (Unicode, regular expressions, calculating differences between the files), Internet protocols (SMTP, XML-RPC, HTTP, FTP, POP, CGI programming and IMAP), software engineering (logging, profiling, unit testing, parsing Python codes), and operating system interfaces (file systems, TCP/IP sockets, system calls) etc.

Numbers of Python accredited training partners provide comprehensive online training for the variety of Python courses like Introduction to Python Programming, 4820 Mastering Python Programming, 4850 Advanced Python Programming etc.

The global demand of Python web developers is increasing fast. Learning of Python technology in web development will help you improve your performance and scope of your working.