Master Python Through Hands-On Project Experience.

Name: Master Python Through Hands-On Project Experience.
Rating: 4.5 (16 reviews)

Essential Skills for Successful Python Development | GUI, Web scraping, Data visualization Projects |

Created byPritom Sarker

Last updated 1/2024

English

What you'll learn

Acquire the Proficiency and Knowledge of Python to Confidently Pursue Python Programming Careers.
Learn to Utilize the Capabilities of Python Language
Include Python Object-Oriented Programming (OOP) Abilities on Your Resume.
Obtain the Essential Python Skills to Transition into Specialized Fields such as Machine Learning, Data Science, etc.
Grasp the Ability to Develop Your Own Python Programs.
Learn to scrape website from scratch with Beautiful Soup
Master GUI Development with Tkinter and Python!
Learn to use Matplotlib for Python Plotting

Course content

6 sections • 23 lectures • 1h 30m total length

An Introduction to Python: Understanding the Basics of the Programming Language2:06
"An Introduction to Python: Learn the Fundamentals of the Powerful and Versatile Programming Language" is a comprehensive guide designed to provide an overview of the basics of the Python programming language. The course will cover the essential concepts of the language, including data types, variables, operators, control structures, functions, modules, and file input/output.
Getting Started with Python: Installing and Setting up the Language on Your Comp1:49
"Getting Started with Python: Setting up the Programming Language on Your Computer" is a beginner-friendly guide aimed at helping you to install and configure Python on your computer. The course covers the steps necessary to set up a Python development environment, including downloading and installing the Python interpreter, as well as popular integrated development environments (IDEs) such as PyCharm and IDLE.
An Concise Overview of the Course1:53

Getting Started with Coding: Creating Your First Python Program1:58
"Creating Your First Python Program" is a beginner-friendly guide that teaches participants how to write their first Python program from scratch.
Getting Familiar with Python: Understanding Data Types and Variables1:58
This part of the course covers the essential concepts of data types, including numbers, strings, and lists, as well as variables and their role in storing and manipulating data. Participants will learn how to declare variables, assign values to them, and perform basic operations such as concatenation and slicing.
Managing Data in Python: Understanding Lists, Tuples, Sets, Dictionaries,Strings7:34
This part of the course covers the basics of lists, tuples, sets, dictionaries, and strings, and teaches participants how to declare, manipulate, and perform operations on these data structures. Participants will learn about the advantages and limitations of each data structure, as well as how to choose the appropriate data structure for a given task.
Making Decisions with Python: Understanding Conditional Statements4:20
Conditional statements in Python allow you to execute code blocks conditionally based on the result of a test expression. The most commonly used conditional statements in Python are if, if-else, and if-elif-else.
Mastering Repetition in Python: Understanding Loop Structures4:12
Loops in Python allow you to repeatedly execute a block of code. There are two main types of loops in Python: for loops and while loops.
Writing Reusable Code in Python: Understanding Functions4:03
Functions in Python allow you to encapsulate a block of code and execute it multiple times with different inputs. Functions provide a way to organize and reuse code, making your code more modular and easier to understand.
Structuring Code in Python: An Introduction to Object-Oriented Programming - 13:27
Object-Oriented Programming (OOP) is a programming paradigm that is based on the concept of "objects". Objects are instances of classes, which encapsulate data and behavior.
In Python, a class is defined using the class keyword and its methods (functions that belong to a class) are defined using the def keyword.
Structuring Code in Python: An Introduction to Object-Oriented Programming - 23:03
Inheritance is a concept in Object-Oriented Programming (OOP) that allows you to define a new class based on an existing class. The new class is called the subclass (or derived class) and the existing class is called the superclass (or base class). The subclass inherits all the attributes and behaviors (methods) of the superclass and can also add new attributes and behaviors or override the existing ones.
Mastering Exception Handling in Python3:43
Error handling in Python involves trapping and responding to errors that occur when your code is executing. This helps to avoid unexpected behavior and allows your code to gracefully handle and recover from errors.
Built-in Libraries in Python: Python File Management and Handling5:40
The Python Standard Library is a collection of modules and packages included with the Python language distribution. It provides a variety of functionality, including file and directory access, data persistence, data compression, string manipulation, and more. The library is designed to make it easier for developers to perform common tasks without having to write extensive amounts of code from scratch.
Built-in Libraries in Python: Importing libraries7:20
In Python, libraries are collections of modules that provide additional functionality to the base language. To use a library in a Python script, you import it using the "import" statement. This makes all the modules and functions defined in the library accessible from your script. You can import a specific module from a library, or you can import the entire library. For example, to import the "math" library, you would write "import math", and to use a specific function from the library, such as the square root function, you would write "math.sqrt(x)". Importing libraries is a key aspect of Python programming, as it allows you to leverage the work of others and extend the capabilities of your own scripts.
Let's Create a Basic Python Project5:40
Assignment: Guess the Number Game

Requirements

No Prior Programming Knowledge is Required.

Description

Is becoming a programmer something you're interested in?

Is being a data scientist or business analyst a career path you're considering?

Is developing desktop applications a career path you're interested in pursuing?

If you answered yes to any of the above questions, then this course is meant for you.

This course is designed to provide a hands-on approach to mastering the Python programming language. Whether you're a beginner or an intermediate user, this course will take you through the fundamentals of Python and guide you in building real-world projects. By the end of the course, you will have gained a solid understanding of Python and be able to apply your skills to a variety of applications. This is the perfect course for anyone looking to enhance their programming skills and advance their career in the field of data science, software development, or automation.

This course is divided into three main sections.

Introductory Overview : The Introductory Overview section of the course is designed to provide a basic understanding of the Python programming language. This section will cover the fundamental concepts and syntax of Python, as well as provide an introduction to key programming concepts and techniques. The goal of this section is to give students a solid foundation for the rest of the course and provide a starting point for further learning and development.
Learning Python from the Ground Up: The "Learning Python from the Ground Up" section of the course is designed for those who are new to programming or who have limited experience with Python. This section will start at the very basics, covering topics such as variables, data types, control structures, functions, and more. The hands-on, project-based approach will help students build a strong foundation in Python and prepare them for more advanced topics in the later sections of the course. The goal of this section is to give students a comprehensive understanding of the Python language and provide a solid foundation for further study and development.
Exploring Advanced Python Libraries: The "Exploring Advanced Python Libraries" section of the course is designed for those who have a basic understanding of Python and are ready to take their skills to the next level. In this section, students will learn about a variety of popular Python libraries such as NumPy, Beautifulsoup, Matplotlib, and more. They will explore how these libraries can be used to perform advanced data analysis and visualization. This hands-on, project-based approach will help students develop a deeper understanding of the capabilities of these libraries and provide a solid foundation for further study and development. The goal of this section is to equip students with the skills they need to use Python to tackle complex real-world problems. We will delve into three libraries through hands-on projects.
1. Web Scraping: Web scraping with Python is the process of extracting data from websites and storing it for later use. Python provides a number of libraries, such as BeautifulSoup and Scrapy, that make it easy to perform web scraping tasks.
2. GUI Development: Python GUI refers to the creation of graphical user interfaces (GUIs) using the Python programming language. Python provides a number of libraries, such as tkinter, PyQt, and wxPython, that make it easy to create GUI applications.
3. Data Visualisation: Data visualization using Python involves the use of Python libraries to create visual representations of data. Python provides a number of libraries, such as Matplotlib, Seaborn, and Plotly, that make it easy to perform data visualization tasks.

What Students Will Acquire Upon Completing the Course.

Introduction to programming: Python is a great programming language to learn, especially for beginners. It is easy to learn and has a clear and concise syntax.
Automating repetitive tasks: Web scraping allows you to automate the process of extracting data from websites, saving you time and effort.
Building user-friendly interfaces: By learning Python GUI programming, you can create user-friendly interfaces for your projects, making them more accessible to a wider audience.
Data analysis and visualization: With the ability to perform data visualization using Python, you can quickly and easily uncover patterns and insights in your data that might not be immediately apparent through simple numerical analysis.
Career opportunities: Python is a highly sought-after skill in a variety of fields, including data science, web development, and machine learning.
Hands-on experience: The hands-on, project-based approach of the course will provide you with practical experience and a strong foundation in these areas.
Build real-world projects: By learning these skills through hands-on projects, you will have the opportunity to build real-world applications and demonstrate your abilities to potential employers.

Who this course is for:

Aspiring Programmer with No Previous Experience Seeking to Gain a Foundation in Programming Concepts.
Beginner Programmer Seeking a Deeper Understanding of Python.
Programmer Seeking Knowledge of Web Scraping.
Programmer Seeking Knowledge of GUI Development
Programmer Seeking Knowledge of plotting data

Master Python Through Hands-On Project Experience.

What you'll learn

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Course content

An Introduction to Python3 lectures • 6min

Foundations of Python: A Beginner's Guide to the Language12 lectures • 53min

Developing a GUI in Python with Tkinter3 lectures • 13min

Exploring Matplotlib in Python2 lectures • 9min

Web Scraping with Python2 lectures • 8min

End of Course Recap and Future Steps1 lecture • 3min

Requirements

Description

Who this course is for: