Python Programming Course, 1 Day, Online Instructor-Led

Included:

• 6 hours online self-paced video tutorials
• 6 zip-files containing real life Python coded projects
• 6 e-books packed with information, tutorials, examples, illustrations
• 18-pack cheat sheet bundle
• 50 Interview question quiz to test you skills

Highlights:

• Excellent for beginners, practical
• In small groups of max 4 people
• 1 Day
• Instructor-led, Online Instructor-led OR Classroom!
• Basic essentials of Python, necessary for all who use Python.
• Customisable: You could contact us for your preferred date, or for on-site location or content changes
• PCWorkshops is a member of the BCS ( British Computer Society / The Chartered Institute of IT)

Session 1: Python Data Types and Variables:

• Primitive types; Characters & Strings; Boolean; Working with variables and its scope; Conversion and casting types in Python.
• Operators and Expressions.
• Introduction of operators; Arithmetic operators; Relational operators; Assignment operators; Logical operators; Increment and decrement operators.

Decision Making & Loops

• If statement; If - else statement; If- elif - else statement; Nested if - else;
• The while, For loop, Jump statements: break, continue; Nesting loops.

Session 2: Data Structures

• Lists. Tuples. Sets. Dictionaries. Json.

Session 3: Files and exceptions

• Exception Handling, Exception types; Using try and Except.
• Files, streams: Open, traverse, read and create files: csv, txt and Json files.
• API: Connecting to API’s.

Session 4: OOP

• Creating and using custom functions.
• Using parameters and return values.
• Creating a Class; Creating an Object; Using an Object; Adding Instance variables;
• Class Constructors; Parameterized Constructors.
• Inheritance. Override.

Session 5: Pandas Dataframe Basics

• Getting data into a dataframe: Dict to Dataframe, Dataframe to Dict. Excel to Dict, Dict to Excel , working with Excel data, multiple Excel sheets.
• Getting information about the dataframe.
• Filter, sort and query a Dataframes. Slicing Dataframes.
• Duplicate values. Working with null-values. get random data samples.

Session 6: Built-in Functions: String, Math, Random

• Python built-in functions:
• String functions. Math functions. Random Functions.

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