Python-Getting Started Training

The training program gets participants started with the basics of python and ensures that they have a good understanding of all popular and standard concepts needed to start working on…

Created by

Stalwart Learning

Course Details

Price

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Duration

3 Days

Location

https://stalwartlearning.com

Start Date

End Date

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More Info

https://stalwartlearning.com

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Course Description

Overview of Python Basics

The training program gets participants started with the basics of python and ensures that they have a good understanding of all popular and standard concepts needed to start working on Python immediately. The participants undergoing the course will have a good understanding of – Basic Python Programming and its various constructs, commonly used Python libraries, Input & Outputs, Error Handling, etc

Duration

3 Days

Prerequisite for Python Basics

Basic Computer knowledge and fundamentals of programming may be helpful in the training program.

Course Outline for Python Basics

Python 3 – Overview

Python 3 – Environment Setup
  • Using the Python Interpreter
  • Using JetBrains – PyCharm IDE
Python 3 – Informal Introduction
  • Numbers, Strings, Lists
  • Programming First steps
Control Flow Tools
  • if Statements and for Statements
  •  range() Function
  •  break and continue Statements, and else Clauses on Loops
  •  pass Statements
  • Functions
    •  Default Argument Values
    •  Keyword Arguments
    •  Arbitrary Argument Lists
    •  Unpacking Argument Lists
    •  Lambda Expressions
    •  Documentation Strings
Data Structures
  • Lists built-in methods
    • Using Lists as Stacks
    • Using Lists as Queues
    • List Comprehensions
    • Nested List Comprehensions
  • The del Statement
  • Tuples and Sequences
  • Sets
  • Dictionaries
  • Looping Techniques
  • More on Conditional Statements
  • Comparing Sequences and Other Types
Modules
  • More on Modules
    • Executing modules as scripts
    • The Module Search Path
    • “Compiled” Python files
  • Standard Modules
  • The dir() Function
  • Packages
    • Importing * From a Package
    • Intra-package References
    • Packages in Multiple Directories
Input and Output
  • Fancier Output Formatting
    • Old string formatting
  • Reading and Writing Files
    • Methods of File Objects
    • Saving structured data with json
Errors and Exceptions
  • Syntax Errors
  • Exceptions
  • Handling Exceptions
  • Raising Exceptions
  • User-defined Exceptions
  • Defining Clean-up Actions
  • Predefined Clean-up Actions
Classes
  • A Word About Names and Objects
  • Python Scopes and Namespaces
    • Scopes and Namespaces Example
  • A First Look at Classes
    • Class Definition Syntax
    • Class Objects
    • Instance Objects
    • Method Objects
    • Class and Instance Variables
  • Random Remarks
  • Inheritance
    • Multiple Inheritance
  • Private Variables
  • Iterators
  • Generators
    • Generator Expressions
Brief Tour of the Standard Library
  • Operating System Interface
  • File Wildcards
  • Command Line Arguments
  • Error Output Redirection and Program Termination
  • String Pattern Matching
  • Mathematics
  • Internet Access
  • Dates and Times
  • Data Compression
  • Performance Measurement
  • Quality Control
  • Output Formatting
  • Templating
  • Working with Binary Data Record Layouts
  • Multi-threading
  • Logging
  • Weak References
  • Tools for Working with Lists
  • Decimal Floating Point Arithmetic
Virtual Environments and Packages
  • Introduction
  • Creating Virtual Environments
  • Managing Packages with pip

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