Course Content
Module 1 - Introduction to Python Programming from A-Z
The instructor discusses the overview and planning of the course. All the different topics or lessons like what python programming is, who this course is for, a fundamental understanding of Python program, Python programmer job role, the various job opportunities, why it is most popular worldwide, and how this course overview is structured.
Module 2 - Resources
Demonstrates resources essential for Python programming and how to utilize and gain maximum benefits.
Module 3 - Getting Familiar with Python
Demonstrates How to install Python on windows, Anaconda, and Jupyter notebooks parts 1 & 2, Python syntax, Line structure with exercise, Comments, join lines, use multiple statements on a single line, and identication.
Module 4 - Basic Data Types
Demonstrates Basic data types section overview, Python variables, Integers and Float explanation, String in detail, Manipulation, How to index, Slicing, Boolean, expands to Printing, Mini project Letter Counter.
Module 5 - Python Operators
Overview demonstrates different types of operators like Arithmetic, Assignment, Comparison, and Logical expands to Identity, Membership, and Bitwise.
Module 6 - Advanced Data Types
Demonstrates advanced Python data types, List overview, Slicing and Indexing, Tuples, Sets, How and when to use Dictionaries, and Compound Data Types.
Module 7- Control Flow Part 1
Demonstrates Section Overview, Control Flow, Basic to more Conditional Statements, Loops, and while Loops importance.
Module 8 - Control Flow Part 2
Demonstrates Section Overview, Break and Continue Statements in Python, Zip, and Enumerate Function expands to List Comprehension.
Module 9 - Python Functions
Demonstrates Python Functions Overview, Intro to Python help Functions expand to Defining, Variable Scope, and Doc Strings.
Module 10 - User Input and Error Handling
Demonstrates section overview, Intro to Error Handling, User Input, Syntax Errors, Exceptions expand to Handling Exceptions part 1 to 2
Module 11 - Python Advanced Functions
Demonstrates overview, Lambda Functions, ARGS, KWARGS, Iterators, Generators, and Yield expand to Map and Filter Function.
Module 12 - Python Scripting and Libraries
Demonstrates section overview, Definition of a Script, Explanation of an IDE, Text Editor, From Jupyter Notebook to Vscode Part 1 to 2, Importing Scripts, Standard Libraries expand to the Third party.
Module 13 - NumPy
Section overview, Intro to NumPy, Importance, Numpy Arrays, Reshaping, Accessing and Modifying, Slicing and Copying, Inserting, Appending and Deleting in detail, Array Logical Indexing, and Broadcasting.
Module 14 - Pandas
Demonstrates Intro to Pandas, Series, Manipulation, and Dataframe expands to Dataframe Manipulation and Dealing With Missing Values.
Module 15 - Intro to OOP
Demonstrates Functional vs. OOP, Key Definitions, How to Create Your First Class, Use Objects, and How To Modify Attributes.
Module 16 - Advanced OOP
Demonstrates Python Decorators,Property, and Class Method expansion to Static and Inheritance From A to Z
Module 17 - Starting a Career in Python
Demonstrates Python Career Section Overview, How to get started with Freelancing, Building a brand, Personal Branding, Importance of Having a website/blog, Dos and dont of Networking, Top Freelance Website, and Creating A Python Developer Resume.
Assessment
You have to attend an online assessment by the end of the course. Assessments will instantly provide results. The successful assessment requirement is 60%. Learners are allowed multiple attempts to encourage them to achieve the desired score. However, every attempt will make the previous result invalid. This multiple assessment attempt is free of charge.
Certificates
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Transcripts
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