GK821587 Python Foundations

COURSE OBJECTIVE:

 Working within an engaging, hands-on learning environment, and guided by an expert instructor, students will learn to write effective Python code using the latest features and techniques, including: • Create working Python scripts following best practices • Explore simple and complex Python data types and use them appropriately • Use built-in functions and create custom functions with parameters and return types • Understand Pythonic features such as comprehensions and iterators • Work with dates, times, and calendars • Read and write files with both text and binary data • Gain familiarity with the standard library and its work-saving modules • Understand objects in Python and how to create classes

TARGET AUDIENCE:

 This course is an appropriate introduction to students of any background looking to get started with Python core concepts and learn fundamental programming.Programmers/Developers who aspire to shift their career towards RPA/AI development, Data Science related project development that majorly uses Python as the scripting language- System Administrators- Network Administrators and Engineers- DevOps Engineers- Back-end developers- Front-end developers

COURSE PREREQUISITES:

A basic familiarity with any programming or scripting language is helpful, but not essential.

COURSE CONTENT:

DAY 1: GETTING STARTED WITH PYTHON PROGRAMMING1- Python Variables and Data types • Python intro with a quick overview on the syntax, IDEs • Recall how to declare/initialize variables of different data types in Python – Numeric, String, Bool, Sequence • Naming Conventions & Rules • Functions and purpose of main() • Arguments • Command line parameters • White spacing basic rules • Types as Objects • Type conversion • Mutable vs Immutable Objects2- Working with Strings in Python • String Literal – Escape Sequences • Formatting String Output • Printing and formatting strings • Scripting with input() • About raw_input()3- Working with Dates and times • Working with dates and times • Translating timestamps • Parsing dates from text • Formatting dates • Calendar data4- Working with Conditional Statements and Loops • If else statements • If elif • Nested if statement • While usage • Count and Event controlled loop • Continue and Break • For iteration examples5- Objects • Overview of objects • Creating objects and defining objects • Working with objects6- Basic error handling • Different errors • Handling errors • Best practicesDAY 2: COMPLEX DATA TYPES IN PYTHON1- Lists & Tuples • Lists • Mixed Lists • Common List Methods • Other List Operations – CRUD operations • Working with Tuples • Immutable Tuples • Indexing and Slicing • Shallow and deep copies of List and tuples • Lists vs Tuples2- Dictionaries and Sets • An overview and construction of dictionaries • Keys and Values • Dictionary Methods • About sets • Creating sets • Working with sets • Dictionaries vs Lists vs Tuples vs Sets3- Understanding Iterators • The range() function • Taking the range() of len() • Iterative Objects • The iter() Function • Iterating through a sequence • Nested sequences • Sequence functions, keywords, and operators • Looping across data sets • Iterating through lists • Looping across lists of lists • Looping with dictionaries • Looping across lists of dictionaries4- Sorting • The sorted() function • Alternate keys • Sorting collections • Using operator.itemgetter() • Reverse sorting5- Basic File operations in Python • Opening files • Read data from files • Write data to files • Reading and writing raw (binary) dataDAY 3: PYTHON MODULAR PROGRAMMING1- Python Functions • Defining functions • Parameters • Returning values • Nested Functions • Variable Masking • Preventing Variable Modifications • Argument Matching Methods • Basic List Comprehensions • Variable scope – local, global, nested2- Modules & Packages • Module Basics • Packages • Pip and pip3 • Virtual environments • Defined modules • Import modules • From import statements • Some useful modules to know • Functions and module aliases3- The standard library • The sys module • Launching external programs • Math functions • Random numbers • Reading CSV data4- Classes in Python • About OOP • Defining a class • Constructor • Classes instantiation • Class variables and methods • Instance variables • Properties – getters and setters • Subclasses (Inheritance) • Multiple Inheritance • Static methods LABS OUTLINEThis course includes lab-based activities to write and run Python programming scripts.

FOLLOW ON COURSES:

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