Python 101- Python Programming Python Functions (2024)

Python 101: Python Programming & Python Functions (2024), available at $19.99, has an average rating of 3.95, with 30 lectures, 36 quizzes, based on 172 reviews, and has 8764 subscribers.

You will learn about 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 This course is ideal for individuals who are Anyone looking for Best Python Course for Beginners or Self-learners interested in coding, seeking a structured and comprehensive Python course or Career Switchers: Suitable for individuals transitioning to software development or data analysis fields. or Data Enthusiasts: Perfect for those interested in data science and analysis. It is particularly useful for Anyone looking for Best Python Course for Beginners or Self-learners interested in coding, seeking a structured and comprehensive Python course or Career Switchers: Suitable for individuals transitioning to software development or data analysis fields. or Data Enthusiasts: Perfect for those interested in data science and analysis.

Enroll now: Python 101: Python Programming & Python Functions (2024)

Summary

Title: Python 101: Python Programming & Python Functions (2024)

Price: $19.99

Average Rating: 3.95

Number of Lectures: 30

Number of Quizzes: 36

Number of Published Lectures: 30

Number of Published Quizzes: 36

Number of Curriculum Items: 66

Number of Published Curriculum Objects: 66

Number of Practice Tests: 2

Number of Published Practice Tests: 2

Original Price: $89.99

Quality Status: approved

Status: Live

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

Who Should Attend

Anyone looking for Best Python Course for Beginners

Self-learners interested in coding, seeking a structured and comprehensive Python course

Career Switchers: Suitable for individuals transitioning to software development or data analysis fields.

Data Enthusiasts: Perfect for those interested in data science and analysis.

Target Audiences

Anyone looking for Best Python Course for Beginners

Self-learners interested in coding, seeking a structured and comprehensive Python course

Career Switchers: Suitable for individuals transitioning to software development or data analysis fields.

Data Enthusiasts: Perfect for those interested in data science and analysis.

Welcome to Python 101: Python Programming & Python Functions (2024), 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:

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!

Course Curriculum

Chapter 1: Introduction to Python

Lecture 1: Brief history of Python

Lecture 2: Why choose Python? Its advantages and applications

Lecture 3: Setting up the Python environment

Lecture 4: Running your first Python program

Chapter 2: Python Syntax and Basic Data Types

Lecture 1: Python indentation and comments

Lecture 2: ChatGPT Guide: Declaring Variables and Identifying Data Types in Python

Lecture 3: ChatGPT Guide: Manipulating and Formatting Strings in Python

Lecture 4: Working with Numbers: Integers and Floats in Python

Lecture 5: Understanding and Using Booleans in Python

Chapter 3: Python Data Structures

Lecture 1: Understanding Lists in Python

Lecture 2: Working with Tuples in Python

Lecture 3: ChatGPT Guide: Integrating and Using Sets in Python

Lecture 4: ChatGPT Guide: Operations and Examples with Dictionaries in Python

Chapter 4: Flow Control

Lecture 1: ChatGPT Guide: Creating Conditional Statements (if, elif, else) in Python

Lecture 2: ChatGPT Guide: Using Loops (for, while) Effectively in Python

Lecture 3: Mastering Loop Control Statements (break, continue, pass) in Python

Chapter 5: Functions

Lecture 1: ChatGPT Guide: Defining and Calling Functions in Python

Lecture 2: Understanding Return Values and Scope in Python

Lecture 3: Mastering Function Arguments: Positional, Keyword, Default in Python

Lecture 4: Introduction to Lambda Functions in Python

Chapter 6: Python 101 Practice Test

Chapter 7: Modules and Libraries

Lecture 1: ChatGPT Guide: Exploring and Importing Python Modules & Libraries

Lecture 2: Creating and Importing Custom Python Modules

Chapter 8: Error Handling and Debugging

Lecture 1: Understanding Common Python Errors and Exceptions

Lecture 2: ChatGPT Guide: Handling Exceptions with Try, Except, Finally in Python

Chapter 9: Introduction to Data Analysis with Python

Lecture 1: Understanding Importance of Data Analysis

Lecture 2: Exploring Pythons Ecosystem for Data Analysis

Lecture 3: Working with NumPy arrays

Lecture 4: Introduction to Pandas for Data Analysis

Lecture 5: Visualizing Data with Matplotlib in Python

Chapter 10: Wrap-up and Next Steps

Lecture 1: Recap of Python basics

Chapter 11: Python Programming & Functions Practice Test

Instructors

Programming Hub: 40 million+ global students
E-learning Organisation

Rating Distribution

1 stars: 4 votes

2 stars: 7 votes

3 stars: 16 votes

4 stars: 47 votes

5 stars: 98 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!