Python Programming 1

Course Code: PYP1

Duration: 4 days

 
 

Python Programming 1 Course Overview

Python is an object oriented rapid development language deployed in many scenarios in the modern world.

This Python Programming 1 course is designed to give delegates the knowledge to develop and maintain Python scripts using the current version (V3) of Python.

There are many similarities between Python V2 and Python V3. The skills gained on this course will allow the delegate to develop their own skills further using Python V2 or V3 to support the development and maintenance of scripts.

The Python Programming 1 course comprises sessions dealing with syntax, variables and data types, operators and expressions, conditions and loops, functions, objects, collections, modules and packages, strings, pattern matching, dates, exception handling, files, and databases.

Exercises and examples are used throughout the course to give practical hands-on experience with the techniques covered.

Course Objectives

This course aims to provide the delegate with the knowledge to be able to produce Python scripts and applications that exploit all core elements of the language including variables, expressions, selection and iteration, functions, objects, collections, strings, modules, pattern matching, exception handling, I/O, and classes.

Who will the Course Benefit?

The Python Programming 1 course is aimed at anyone who wants to learn Python as a first language, and developers/engineers who want to migrate to Python from another language, particularly those with little or no object-oriented knowledge.

Skills Gained

The delegate will learn and acquire skills as follows:

  • Writing and testing simple scripts
  • Representing data using built-in and custom data types
  • Building expressions
  • Building conditional and iterative statements
  • Declaring and calling functions
  • Using objects
  • Creating and manipulating collections including lists, tuples, and dictionaries
  • Creating and manipulating strings
  • Creating modules and packages, and using third-party libraries
  • Pattern matching
  • Working with date and time objects
  • Handling exceptions
  • Reading from and writing to files and databases
  • Coding in an OOP manner

Python Programming 1 Training Course

Course Introduction

  • Administration and Course Materials
  • Course Structure and Agenda
  • Delegate and Trainer Introductions

Session 1: GETTING STARTED

  • About Python
  • Python versions
  • Python documentation
  • Python runtimes
  • Installing Python
  • The REPL shell
  • Python editors

Session 2: PYTHON SCRIPTS & SYNTAX

  • Script naming
  • Comments
  • Docstring
  • Statements
  • The backslash
  • Code blocks
  • Whitespace
  • Console IO (to enable the writing of simple programs)
  • A first Python program
  • Script execution

Session 3: VARIABLES & DATA TYPES

  • Literals
  • Identifiers
  • Assignment
  • Numbers (bool, int, float, complex)
  • Binary, octal, and hexadecimal numbers
  • Collections (str, list, tuple, set, dict)
  • None
  • Implicit and explicit type conversion (casting)
  • The type function

Session 4: OPERATORS & EXPRESSIONS

  • Arithmetic Operators
  • Assignment Operators
  • Comparison Operators
  • Logical Operators
  • Membership Operators
  • Bitwise Operators
  • Identity Operators

Session 5: CONDITIONS & LOOPS

  • Conditional statements (if, elif, else)
  • Short hand if/if else
  • Python's alternative to the ternary operator
  • Iterative statements (while, for, else)
  • The range function
  • Iterating over a list
  • Break
  • Continue
  • Nested conditional/iterative statements

Python Programming 1 Training Course

Session 6: FUNCTIONS

  • Declaration
  • Invocation
  • Default values for parameters
  • Named arguments
  • args and kwargs
  • Returning multiple values
  • Nested functions
  • Functions as data
  • Introduction to lambda expressions
  • Variable scope
  • The pass keyword

Session 7: OBJECTS AND CLASSES

  • About objects
  • Attributes and the dot notation
  • The dir function
  • Dunder attributes
  • Mutability
  • The id function
  • Pass by reference
  • Introduction to Classes
  • Class Declaration and Instantiation
  • Data attributes
  • Methods
  • Composition

Session 8: LISTS

  • About lists
  • List syntax including slicing
  • Getting and setting list elements
  • Iterating over a list
  • Checking for the presence of a value
  • The len function
  • List methods incl. append, insert, remove, pop, clear, copy, sort, reverse etc.
  • The del keyword
  • Appending to and combining lists
  • List comprehension

Session 9: TUPLES

  • About tuples
  • Tuple syntax
  • Getting tuple elements including unpacking
  • Iterating over a tuple
  • Checking for the presence of a value
  • The len function
  • Appending to and combining tuples

Session 10: SETS

  • About Sets
  • Dictionary syntax
  • Creating, adding and removing set elements
  • Iterating over a set
  • Membership Testing
  • Sorting
  • Copying
  • Set methods incl. union, intersection, difference, symmetric_difference etc.

Python Programming 1 Training Course

Session 11: DICTIONARIES

  • About dictionaries
  • Dictionary syntax
  • Getting and setting dictionary elements
  • Iterating over a dictionary (keys, values, and items)
  • Checking for the presence of a key
  • The len function
  • Dictionary methods incl. keys, values, items, get, pop, popitem, clear etc.
  • The del keyword
  • Dictionary comprehension

Session 12: STRINGS

  • About strings
  • String syntax including slicing
  • Escape characters
  • Triple-quoted strings
  • Concatenation
  • Placeholders
  • The format method
  • Other methods e.g. endswith, find, join, lower, replace, split, startswith, strip, upper etc.
  • A string as a list of bytes

Session 13: MODULES & PACKAGES

  • About modules
  • The module search path
  • Importing modules
  • Namespaces
  • Importing module objects
  • The import wildcard
  • Aliases
  • Importing within a function
  • Executable modules
  • Reloading a module
  • About packages
  • Importing packaged modules
  • Importing packaged module objects
  • Package initialisation
  • Subpackages
  • Referencing objects in sibling packages
  • The Standard Library
  • Installing modules and packages using pip

Session 14: PATTERN MATCHING

  • About regular expressions
  • Regular expression special characters
  • Raw strings
  • About the re module
  • re module functions incl. match, search, findall, full match, split, sub

Python Programming 1 Training Course

Session 15: DATES

  • About the datetime module
  • datetime object attributes
  • Creating a datetime object
  • Date arithmetic
  • Formatting dates

Session 16: EXCEPTION HANDLING

  • About exceptions and exception handling
  • Handling exceptions (try, except, else, finally)
  • Exception types
  • The exception object
  • Raising exceptions
  • Custom exception types

Session 17: FILES & THE FILESYSTEM

  • The open function
  • Methods for seeking (seekable, seek)
  • Methods for reading from a file (readable, read, readline, readlines)
  • Iterating over a file
  • Methods for writing to a file (writable, write, writelines)
  • Introduction to context managers
  • File parsing for files of type CSV, XML, JSON, YAML
  • About the os module
  • os module functions incl. getcwd, listdir, mkdir, chdir, remove, rmdir etc.

Session 18: DATABASES

  • The DB-API
  • DP-API implementations
  • Establishing a connection
  • Creating a cursor
  • Executing a query
  • Fetching results
  • Transactions
  • Inserting, updating, and deleting records
Notes:
  • Course technical content is subject to change without notice.
  • Course content is structured as sessions, this does not strictly map to course timings. Concepts, content and practicals often span sessions.

Requirements

Delegates attending this course should have some previous programming experience and be able to define general programming concepts including: compilation, execution, variables, arrays, sequence, selection, iteration, functions, objects, and classes. Moreover delegates should be able to navigate the filesystem (on the command line ideally), edit and save text files and browse the web. This knowledge can be obtained by attendance on the pre-requisite Introduction to Programming course.

Pre-Requisite Courses

Course Reviews

Very interesting and useful. Everything was explained really succinctly and understandably. Lecturer made sure everyone was following along and frequently asked if we had any questions. Genuinely enjoyed it. Exercises were good.

Adam - Apprentice Software Engineer - Government - December 2021


Absolutely superb from start to finish. I feel as though I'm ready to start writing basic Python apps which I hoped would be possible at the outset. Can't speak highly enough of tutor, Stuart, whose clear, understandable explanation of the more complex aspects was simply outstanding.

Mark - Government - December 2021


Musie was very articulate knew his subject well, you got the feeling he really cared about you wanting to learn, he kept asking questions to make sure we understand what we are learning, he was passionate about coding and very sincere in his approach, overall a good teacher, only negative I would say is sometimes the explanations were too long but overall top marks.

Shazaul - IT Manager - Real Estate


Kevin was very helpful in answering any questions. He was also considerate of individuals background and previous knowledge and taught at a comfortable pace for everyone.

Apilan - Data Analyst


Kevin was an outstanding instructor. I would certainly recommend the course to anyone as a first step in to python Really appreciate all hard work and patience from Kevin, who showed to be very knowledgeable, yet approachable and understanding. Ready to answer and elaborate on all questions posed. I will be walking away with a solid foundation on python and looking forwards to putting into practice the content of what I learnt.

Augusto - Network Engineer - Communications


A brilliant course with an outstanding instructor. His knowledge and understanding of Python went above and beyond.

Maggie - Lecturer B Adults & HE - Academic


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