Python Essentials: Learn Python Basics with Coding Exercises

Name: Python Essentials: Learn Python Basics with Coding Exercises
Rating: 4.3 (55 reviews)

Learn the Important Basics of Python such as lists, dictionaries, tuples, sets, Functions and MORE with Coding Practices

Created byAnalytix AI

Last updated 8/2024

English

What you'll learn

Gain understanding of Python's basic syntax, data types, variables, and operators, enabling you to write simple programs and perform basic operations.
Learn to utilize control structures like loops and conditional statements such as use if, elif and else to manage program flow effectively.
Acquire skills in working with fundamental data structures in Python, such as lists, dictionaries, tuples, and sets.
Learn how to manipulate, access, and modify these structures for diverse programming needs.
NumPy and Pandas are essential Python libraries for numerical computations and data manipulation. Try out libraries for basic data analysis and manipulation.
Harness the power of ChatGPT for real-time code suggestions, completion, and improvement.
Gain insights into common types of errors such as NameError, TypeError, IndentationError, and more, and learn how to address them promptly.

Coding Exercises

This course includes our updated coding exercises so you can practice your skills as you learn.

Course content

9 sections • 41 lectures • 2h 59m total length

Installing Python and Jupyter Notebook – Windows0:10
Installing Python and Jupyter Notebook – Mac0:10
Connect with my youtube channel0:06
Your Guidebook: Accessing Course Resources0:03

Your First Python Code: Getting Started4:36
Open and use the Jupyter Notebook to write and run your first Python code, printing hello world with the print function, and begin exploring Python basics for beginners.
Working on Print()
Variables and naming conventions9:05
Assigning value in a variable
Several Data types in Python7:22
Data Type conversion and casting9:49
Assigning data types #1
Assigning data types #2
Assigning data types #3

Conditional statements (if, elif, else)7:04
Conditional statement #1
Conditional statement #2
Logical expressions in conditions9:57
Logical expression #1
Logical expression #2
Logical expression #3
Logical expression #4
Logical expression #5
Logical expression #6
Looping structures (for loops, while loops)9:12
Master Python looping structures by using for loops to iterate over lists and while loops to run until a condition is met, including applying conditions, appending results, and using break.
For loop #1
While loop #2
Defining, creating and calling functions5:11
Function #1
Function #2

Setting Up The ChatGPT0:04
Getting Started: Installing Packages1:51
Managing Missing Values4:01
Dealing with Data types3:45
Inspect and fix data types in a pandas dataset by using df.dtypes, convert columns to numeric, datetime, categorical, or string, and validate results with ChatGPT-assisted code.
Dealing with Outliers6:06
Handling Duplicate Values2:44
Date and Time Extraction2:08
Learn how to extract day, month, and year from date variables in python with pandas, using code generated via chatgpt and addressing common copy warnings for clean results.

Requirements

No programming experience is required.
Mostly suitable for beginners
Desire to Learn.

Description

Are you eager to dive into the world of programming? Python is a versatile and beginner-friendly language that serves as an excellent entry point for aspiring programmers. This course is designed for absolute beginners, providing a solid foundation in Python programming. Whether you're looking to explore data analysis, automate tasks, or simply want to learn a new skill, this course is your gateway to mastering Python basics.

Course Objectives:

Mastering Python Fundamentals: You will start by grasping the essential building blocks of Python programming, including variables, data types, operators, and control structures. Understanding these fundamentals is crucial for writing functional code.
Data Structures and Manipulation: Dive into the manipulation of data structures such as lists, dictionaries, tuples, and sets. Learn how to organize, access, and modify these structures, laying the groundwork for more complex programming tasks.
Function Implementation: Explore the power of functions in Python. Learn how to create and use functions to modularize your code, enhancing reusability and making your programs more organized and efficient.
Introduction to Libraries: Gain an introduction to key Python libraries and their applications. Understand how to leverage tools like NumPy and Pandas for basic data analysis and manipulation.
Debugging and Problem-Solving: Develop essential skills in identifying and fixing errors in your code. Learn effective debugging techniques and problem-solving strategies, critical for any programmer's toolkit.
Basic Application Development: Apply your newfound knowledge by embarking on small-scale projects. Utilize Python basics to create simple applications, reinforcing your understanding through hands-on practice.

Course Structure:

The course will consist of instructor-led sessions, hands-on exercises, and practical assignments. It will offer a blend of theoretical concepts and practical application, ensuring that you not only understand the theory but also gain the skills to implement what you've learned.

Who Should Take This Course:

Absolute beginners with no prior programming experience.
Individuals interested in learning Python for data analysis, automation, or software development.
Professionals seeking to enhance their skill set in a programming language widely used across various industries.

Course Outcome:

By the end of this course, you will have a strong grasp of Python fundamentals, empowering you to write simple programs, perform basic data analysis, and set the stage for further exploration in the vast world of Python programming.

Who this course is for:

Python Enthusiasts
Data Enthusiasts
Beginners

Python Essentials: Learn Python Basics with Coding Exercises

What you'll learn

Explore related topics

Coding Exercises

Course content

Setting Up Python and Jupyter Notebook4 lectures • 1min

Python - Starting with Variables to Data Types4 lectures • 31min

Python - Various Operators in Python Programming3 lectures • 21min

Python - Dealing with Data Structures3 lectures • 33min

Python - Conditionals Looping and Functions4 lectures • 31min

Fast-Track Data Cleaning in Python with ChatGPT7 lectures • 21min

Fast-Track Data Analysis in Python with ChatGPT4 lectures • 13min

Understanding Python Error Messages7 lectures • 13min

ChatGPT for Efficient Python Programming5 lectures • 15min

Requirements

Description

Who this course is for: