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Kickstart your coding journey in 2023! Learn Python from scratch and apply Python functions in real-world scenarios

What you will learn

Master Python basics, syntax, and data types to confidently write Python code and solve problems

Understand Python data structures, flow control, and functions for efficient data manipulation

Gain proficiency in handling Python modules, libraries, and error debugging to build robust programs

Get introduced to data analysis with Python, opening doors to data science and machine learning

Description

Welcome to Python 101: Python Programming & Python Functions (2023), a comprehensive Udemy course specially designed for passionate learners eager to master Python programming. This course is led by Praveen Kodur, a certified Python Programming expert with over 20 years of professional experience.

The course is structured into nine detailed sections, each focusing on a vital aspect of Python programming. You will start with an introduction to Python, move onto Python syntax and basic data types, learn about Python data structures, understand flow control, master functions, handle Python modules and libraries, get introduced to error handling and debugging, and finally, dive into data analysis with Python.

Upon completion, you will have acquired key skills such as Python coding, creating Python projects, understanding Python basics, and Python programming for beginners. You’ll also gain an understanding of Python for data science, Python language course, introduction to Python programming, and Python language tutorial.

The course content includes:


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  1. Introduction to Python: Dive into the history of Python, its advantages, and applications. Learn how to set up the Python environment and run your first Python program.
  2. Python Syntax and Basic Data Types: Understand Python indentation, comments, variables, data types, strings, numbers, and Booleans.
  3. Python Data Structures: Get hands-on experience with lists, tuples, sets, and dictionaries.
  4. Flow Control: Master conditional statements and loops, along with loop control statements.
  5. Functions: Learn about defining and calling functions, return values and scope, function arguments, and lambda functions.
  6. Modules and Libraries: Explore importing modules, the standard library, and creating your own modules.
  7. Error Handling and Debugging: Understand common Python errors and exceptions, and how to handle them.
  8. Introduction to Data Analysis with Python: Get introduced to data analysis and its importance, the Python ecosystem for data analysis, working with NumPy arrays, introduction to pandas, and data visualization with matplotlib.
  9. Wrap-up and Next Steps: Recap of Python basics and next steps to further your Python journey.

To ensure that you can fully participate in this course, you will need access to a mobile device or a desktop/laptop with an active internet connection. This setup allows you to learn at your own pace, from the comfort of your home or office.

One of the key highlights of this course is that upon completion, you will gain a wealth of knowledge and practical skills. In addition, you will gain access to a library of downloadable resources. These resources are tailored to the topics studied in the course, serving as a valuable reference for future use.

Join us on this journey and start your adventure in Python programming today! Master coding for beginners, learn to code with Python, and embark on Python projects for beginners. This course is your gateway to becoming a proficient Python developer, mastering the Python programming language, and exploring Python for data science. Enroll today and take the first step towards your coding career!

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language

Content

Introduction to Python

Brief history of Python
Why choose Python? Its advantages and applications
Setting up the Python environment
Running your first Python program
“Hello, Python!”

Python Syntax and Basic Data Types

Python indentation and comments
ChatGPT Guide: Declaring Variables and Identifying Data Types in Python
ChatGPT Guide: Manipulating and Formatting Strings in Python
Manipulating Strings
Working with Numbers: Integers and Floats in Python
Performing Basic Arithmetic Operations
Understanding and Using Booleans in Python
Deciding what to wear based on the weather

Python Data Structures

Understanding Lists in Python
Working with Tuples in Python
ChatGPT Guide: Integrating and Using Sets in Python
ChatGPT Guide: Operations and Examples with Dictionaries in Python

Flow Control

ChatGPT Guide: Creating Conditional Statements (if, elif, else) in Python
ChatGPT Guide: Using Loops (for, while) Effectively in Python
Mastering Loop Control Statements (break, continue, pass) in Python

Functions

ChatGPT Guide: Defining and Calling Functions in Python
Understanding Return Values and Scope in Python
Mastering Function Arguments: Positional, Keyword, Default in Python
Introduction to Lambda Functions in Python

Modules and Libraries

ChatGPT Guide: Exploring and Importing Python Modules & Libraries
Creating and Importing Custom Python Modules

Error Handling and Debugging

Understanding Common Python Errors and Exceptions
ChatGPT Guide: Handling Exceptions with Try, Except, Finally in Python

Introduction to Data Analysis with Python

Understanding Importance of Data Analysis
Exploring Python’s Ecosystem for Data Analysis
Working with NumPy arrays
Introduction to Pandas for Data Analysis
Visualizing Data with Matplotlib in Python

Wrap-up and Next Steps

Recap of Python basics