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Home » Technology » Big Data & Data Science » Core Python

Course Skill Level:

Foundational to Intermediate

Course Duration:

5 day/s

  • Course Delivery Format:

    Live, instructor-led.

  • Course Category:

    Big Data & Data Science

  • Course Code:

    CORPYTS21J12

Who should attend & recommended skills:

Advanced users, system administrators, website administrators, & all seeking to automate or simply common tasks with Python scripts with basic unix/Linux, Mac, or Windows experience

Who should attend & recommended skills

  • This course is appropriate for advanced users, system administrators, and web site administrators who want to use Python to support their server installations, as well as anyone else who wants to automate or simplify common tasks with the use of Python scripts.
  • Unix/Linux, Mac, or Windows user: Basic (1-2 years’ experience)
  • Programming language (any other): Basic (1-2 years’ experience) helpful, not required

About this course

This course leads the student 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.
This is a hands-on programming class. All concepts are reinforced by informal practice during the lecture followed by graduated lab exercises.
Core Python is a practical introduction to a working programming language, not an academic overview of syntax and grammar. Students will immediately be able to use Python to complete tasks in the real world.

Skills acquired & topics covered

  • Running Python Scripts
  • Getting Started
  • Flow Control
  • Sequence Data
  • Defining Functions
  • Working with Files
  • Dictionaries and Sets
  • Errors and Exception Handling
  • Using Modules
  • Regular Expressions
  • Highlights of the Standard Library
  • Introduction to Python Classes
  • Real-life programming
  • Special data types
  • Network services
  • Dates and times
  • Create working Python scripts following best practices
  • Use python data types appropriately
  • Read and write files with both text and binary data
  • Search and replace text with regular expressions
  • Get familiar with the standard library and its work-saving modules
  • Use lesser-known but powerful Python data types
  • Create “real-world”, professional Python applications
  • Work with dates, times, and calendars
  • Know when to use collections such as lists, dictionaries, and sets
  • Understand Pythonic features such as comprehensions and iterators
  • Write robust code using exception handling

Course breakdown / modules

  • What is python?
  • Python Timeline
  • Advantages/Disadvantages of Python
  • Getting help with pydoc

  • Starting Python
  • Using the interpreter
  • Running a Python script
  • Python scripts on Unix/Windows
  • Editors and IDEs

  • Using variables
  • Builtin functions
  • Strings
  • Numbers
  • Converting among types
  • Writing to the screen
  • Command line parameters

  • About flow control
  • White space
  • Conditional expressions
  • Relational and Boolean operators
  • While loops
  • Alternate loop exits

  • About sequences
  • Lists and list methods
  • Tuples
  • Indexing and slicing
  • Iterating through a sequence
  • Sequence functions, keywords, and operators
  • List comprehensions
  • Generator Expressions
  • Nested sequences

  • File overview
  • Opening a text file
  • Reading a text file
  • Writing to a text file
  • Reading and writing raw (binary) data
  • Converting binary data with struct

  • About dictionaries
  • Creating dictionaries
  • Iterating through a dictionary
  • About sets
  • Creating sets
  • Working with sets

  • Defining functions
  • Parameters
  • Global and local scope
  • Nested functions
  • Returning values

  • The sorted() function
  • Alternate keys
  • Lambda functions
  • Sorting collections
  • Using operator.itemgetter()
  • Reverse sorting

  • Syntax errors
  • Exceptions
  • Using try/catch/else/finally
  • Handling multiple exceptions
  • Ignoring exceptions

  • The import statement
  • Module search path
  • Creating Modules
  • Using packages
  • Function and Module aliases

  • About o-o programming
  • Defining classes
  • Constructors
  • Methods
  • Instance data
  • Properties
  • Class methods and data

  • RE syntax overview
  • RE Objects
  • Searching and matching
  • Compilation flags
  • Groups and special groups
  • Replacing text
  • Splitting strings

  • The sys module
  • Launching external programs
  • Math functions
  • Random numbers
  • The string module
  • Reading CSV data

  • Working with dates and times
  • Translating timestamps
  • Parsing dates from text
  • Formatting dates
  • Calendar data

  • Paths, directories, and filenames
  • Checking for existence
  • Permissions and other file attributes
  • Walking directory trees
  • Creating filters with fileinput
  • Using shutil for file operations

  • Defaultdict and Counter
  • Prettyprinting data structures
  • Compressed archives (zip, gzip, tar, etc.)
  • Persistent data

  • Grabbing web content
  • Sending email
  • Using SSH for remote access
  • Using FTP

  • Parsing command-line options
  • Detecting the current platform
  • Trapping signals
  • Implementing logging

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