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The Python training course leads participants from the basics of writing and running Python scripts.

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The Python training course leads participants from the basics of writing and running Python scripts to more advanced features such as file operations, regular expressions, working with binary data, and using the extensive functionality of Python modules. Extra emphasis is placed on features unique to Python, such as tuples, array slices, and output formatting.


At the end of Python training course, participants will be able to

  • Master the fundamentals of writing Python scripts
  • Learn core Python scripting elements such as variables and flow control structures
  • Discover how to work with lists and sequence data
  • Write Python functions to facilitate code reuse
  • Use Python to read and write files
  • Make their code robust by handling errors and exceptions properly
  • Work with the Python standard library
  • Explore Python’s object-oriented features
  • Search text using regular expressions


Participants should already be comfortable using the operating system (Linux, Unix, Windows, Solaris, macOS, etc.) on which they will be running Python. While not mandatory, basic skills with at least one other programming language are desirable.

Course Outline

An Overview of Python2021-06-03T11:00:26+05:30
  • What is Python?Interpreted languages
  • Advantages and disadvantages
  • Downloading and installing
  • Which version of Python
  • Where to find documentation
The Python Environment2021-06-03T11:09:08+05:30
  • Structure of a Python script
  • Using the interpreter interactively
  • Running standalone scripts under Unix and Windows
Getting Started2021-06-03T11:10:55+05:30
  • Using variables
  • String types: normal, raw and Unicode
  • String operators and expressions
  • Math operators and expressions
  • Writing to the screen
  • Command line parameters
  • Reading from the keyboard
Flow Control2021-06-03T11:12:49+05:30
  • About flow control
  • Indenting is significant
  • The if and elif statements
  • while loops
  • Using lists
  • Using the for statement
  • The range() function
Array Types2021-06-03T11:14:09+05:30
  • list operations
  • list methods
  • Strings are special kinds of lists
  • tuples
Working with Files2021-06-03T11:15:30+05:30
  • Text file I/O overview
  • Opening a text file
  • Reading text files
  • Raw (binary) data
  • Writing to a text file
Dictionaries and Sets2021-06-03T11:17:53+05:30
  • Dictionary overview
  • Creating dictionaries
  • Dictionary functions
  • Fetching keys or values
  • Testing for existence of elements
  • Deleting elements
  • Sets And Frozen Sets
  • Syntax of function definition
  • Formal parameters
  • Global versus local variables
  • Passing parameters and returning values
  • The sorted() function
  • Alternate keys
  • Multiple keys
  • Lambda functions
Errors and Exception Handling2021-06-03T11:24:43+05:30
  • Dealing with syntax errors
  • Exceptions
  • Handling exceptions with try/except
  • Cleaning up with finally
Modules and Packages2021-06-03T11:26:24+05:30
  • What is a module?
  • The import statement
  • Function aliases
  • Packages
Regular Expressions2021-06-03T11:28:02+05:30
  • RE Objects
  • Pattern matching
  • Parsing data
  • Subexpressions
  • Complex substitutions
  • RE tips and tricks
Highlights of the Standard Library2021-06-03T11:30:25+05:30
  • Working with the operating system
  • Grabbing web pages
  • Sending email
  • math and random
  • Accessing dates and times with datetime
  • Working with compressed files
An Introduction to Python Classes2021-06-03T11:32:08+05:30
  • About o-o programming
  • Defining classes
  • Constructors
  • Instance methods
  • Instance data
  • Class methods and data
  • Destructors

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