Mastering Python Programming (Feb 2025)

Name: Mastering Python Programming (Feb 2025)
Rating: 4.1 (108 reviews)

With programming on Cloud, Datascience and Machine Learning

Created byProton Expert Systems & Solutions

Last updated 3/2025

English

What you'll learn

You will learn about Basics of Python Programming and its features
You will learn and explore on Cloud Client Libraries in GCP
You will get to know the use of Python in Data Science
You will learn on working with ML application using Python

Course content

6 sections • 25 lectures • 1h 51m total length

Introduction4:50
This course illustrates the basics of Python, advanced features of Python, exploring on cloud client Libraries in GCP, Understanding the use of Python in Data Science, Working with ML application using Python

Lesson 1: Basics of Python Programming14:24
You will learn about the Python and its features, differences between Python 2 and Python 3, Data types and data structures in Python and statements in Python.
Practice 1-1: Installing and configuring Python IDLE3:52
In this practice, you will learn to install Python IDLE and Configure pip.
Practice 1-2: working with Data Structures3:25
In this practice, you will learn about the usage of Python Basic Data Structures such as Strings, Lists, Tuples, Dictionary and Sets in programming.
Practice 1-3: Implementing conditional and looping statement1:27
In this practice, you will create and run an GCD (Greatest Common Divisor) Python Program using Conditional and Looping statements.
Practice 1-4: Implementing user defined function by using modules and packages3:29
In this practice, you will create user defined functions and call these functions using modules and packages.
Quiz on Basics of Python Programming

Lesson 2: Advanced features in Python12:24
After completing this lesson, you will have knowledge on Python OOPs concept, Decorators Generators and Constructors, how to handle Exception and file handling. You will also learn what are Multi-threading and Multi-Processing.
Practice 2-1: Implementing an application using OOP concept1:54
In this practice, you will learn to create a banking application using Object-oriented concept in Python.
Practice 2-2: Python application to read and write the file1:33
In this practice, you will learn to create the file, write the data to the file and read the data from the file using Python.
Practice 2-3: Creating a database and executing the queries1:24
In this practice, you will learn to create threads and perform multi-threading within a process.
Practice 2-4: Creating threads and executing multithreading applications2:23
In this practice, you will learn to connect to database, create student table, insert the rows into the table, delete the row and query the table based on condition in SQLite database.
Quiz on Advanced Features in Python

Lesson 3: Using Python in Cloud Programming9:39
You will get the introduction to GCP and its architecture. Understanding of Cloud Client libraries and explore on python Client libraries and creating the instance in GCP using Python Libraries.
Practice 3-1: Installing and Configuring Python Client Libraries in GCP2:28
In this practice, you will learn to configure Python client libraries in GCP.
Practice 3-2: Create an Application to get user details using Python Libraries3:08
In this practice, you will learn to create a bucket and create an application to fetch user details using Python libraries.
Practice 3-3: Using Python Client Libraries create an Instance in GCP3:06
In this practice, you will learn to create and delete the instance by using Python client library.
Quiz on Using Python in Cloud Programming

Lesson 4: Using Python in Data Science14:03
In this lesson, you will learn about Data science and the libraries. Processing data from CSV, XLS and JSON file. You will also learn what Is Data operation, cleansing, aggregation, chart properties and styling.
Practice 4-1: Installing and configuring anaconda and jupyter notebook4:04
In this practice, you will learn to install Anaconda, launch Jupyter notebook and set path for Anaconda in your Local Machine.
Practice 4-2: Processing CSV, XLS and JSON data3:32
In this practice, you will learn to process and read CSV, JSON and XLS file using Python
Practice 4-3: Creating visualizations by using chart properties and chart stylin1:40
In this practice, you will learn to create charts and style the charts using Python libraries.
Practice 4-4: Implementing Pyton application using chi-square1:38
In this practice, you will learn to implement Chi-square algorithm using Python.
Quiz on Using Python in Data Science

Lesson 5: Python for Machine Learning8:42
After completing this lesson, you will learn about Machine learning and the types of ML, implementation of ML, pre-processing techniques and algorithms for classifications.
You will also learn what is regression, clustering, algorithms for K-NN, K-Means and decision tree and Recommendation system.
Practice 5-1: Implement clustering by categorising items to group (K-means)2:21
In this practice, you will learn to implement color quantization using k-means by reducing the number of colors required to show an image.
Practice 5-2: Implement ML application using Linear application1:55
In this practice, you will learn to build and train a model linear regression algorithm.
Practice 5-3: Classify the hand written digits using Python1:32
In this practice, you will learn to train the model to classify hand written single digit number using classification algorithm.
Practice 5-4: Create a Decision Tree2:09
In this practice, you will learn to create a decision surface and decision tree using iris dataset (Iris is the name of a flower) with respect to sepal and petal size.
Quiz on Python for Machine Learning

Requirements

If you have an understanding of Basic Python Programming
And Working Knowledge on GCP Cloud services

Description

If you are looking for building the skills on Python programming along with Machine learning, Data science and use of Python in cloud platforms, then this is the course for you!

This course takes you through hands-on approach with python programming using IDLE (Python 3.11 64-bit)

Python is an interpreted, high-level and general-purpose programming language. Python is easy to learn and it is powerful programming language. Python has syntax that allows developers to write programs with fewer lines compared to other programming languages

In this course you will learn about Python and its features, data types and data structures in Python. Looping and conditional statements, functions and modules.

You will also learn the OOPs concept of Python, decorators, generators, exception handling and file handling in Python

In this course you will learn to use the Python Libraries in GCP.

And how to use Python in Machine Learning and Data Science.

Our focus is to teach topics that flow smoothly. The course teaches you everything you need to know about python programming with hands-on examples

This course gives a quick introduction to python programming with an emphasis on its activity lessons

What are you waiting for?

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Who this course is for:

Developers interested in Mastering Python Programming
Python Developers
Data Scientist
Data Analysts
Software Developers and Cloud Developers

Mastering Python Programming (Feb 2025)

What you'll learn

Explore related topics

Course content

Introduction1 lecture • 5min

Basics of Python programming5 lectures • 27min

Advanced features in Python5 lectures • 20min

Using Python in Cloud Programming4 lectures • 18min

Using Python in Data Science5 lectures • 25min

Python for Machine Learning5 lectures • 17min

Requirements

Description

Who this course is for: