Python Programming Master Course from Udemy

What's inside

Learning objectives

Complete python3 programming
Logic building & problem solving
Object oriented programming
Inheritance & polymorphism
Intermediate - advanced python concepts
Modules & packages

File & exception handling
30+ algorithmic problems
Project - markov text generation
Project - url shortner
Ta doubt support

Complete python3 programming
Logic building & problem solving
Object oriented programming
Inheritance & polymorphism
Intermediate - advanced python concepts
Modules & packages
File & exception handling
30+ algorithmic problems
Project - markov text generation
Project - url shortner
Ta doubt support

Syllabus

→ MODULE : INTRODUCTION

Course Orientation

Code Repository

Doubt Support Guidelines

Students will learn about print function, variables and identifiers

learn about the Id of a variable assigned by Python

Students will learn about the various data types available in python.

Learn about the input function and type conversion

Learn about the Statements in python

Students will learn about different ways to output or format a string.

This quiz will test your understanding of python basics.

Students will learn about different arithmetic operators

Learn about and, or, not logical operators

Students will learn about Membership (in) and Identity (is) operators.

Answer the following MCQ to check your understanding of Operators & Expressions in Python.

Students will learn about if else in python

Learn about the uniqueness of indentation in python.

Students will learn about nested blocks.

Students will learn about the loops and iterations

Learn about another loop in python : For Loop

Solve some questions on Pattern

solve some basic questions on loops

Students will learn about 3 important keywords : break, continue and pass

It's time to check your understanding of Python Control Flow. Answer the following questions.

Students will learn about the basics of string creation and indexing them.

Students will learn about the important string methods.

check if a string is palindrome or not

Answer the following questions on Python Strings.

Students will learn the basics of the list, indexing, and slicing of a list

Students will learn about different methods associated with a list.

Students will learn a concise of creating a new list.

Students will learn matrices and 2D Lists

Answer the following Python List question to check your understanding of the topic.

Learn how to create tuples.

Understand a tricky part of tuple and list.

Students will learn about different tuple operations

Check your understanding of tuples, with this MCQ.

Students will learn about the basics of set theory and operations on sets.

Students will learn different set operations like union, intersection and others

Solve a question to remove duplicate elements from a list

Answer the 5 MCQ's to check your understanding of sets.

students will learn about the basics of dictionaries

access an element from a dictionary

some important functions for dictionaries

students will learn about nested dictionaries in python.

learn a quick way to create dictionaries

Answer the following questions to test your understanding of Dictionaries

Traffic lights

Read about what's good

what should give you pause

and possible dealbreakers

Provides a comprehensive introduction to Python, starting with installation and fundamental syntax, making it suitable for individuals with no prior programming experience

Covers topics relevant to data science and machine learning, such as data structures, file handling, and object-oriented programming, which are essential for building data pipelines and models

Explores intermediate and advanced Python concepts, including modules, packages, inheritance, polymorphism, iterators, generators, and decorators, which are valuable for building scalable and maintainable applications

Includes a section dedicated to algorithmic questions, providing learners with opportunities to practice and improve their problem-solving skills using Python

Uses Python 3, which is standard, but was released in 2008, so learners should be aware that newer versions are available

Includes hands-on projects like URL Shortener and Text Generation, allowing learners to apply their knowledge and build practical applications, but these projects may be dated

Reviews summary

Comprehensive python from basics to advanced

According to learners, the Python Programming Master Course is a largely positive and comprehensive journey into Python programming. Students appreciate the wide range of topics covered, from fundamentals to more advanced concepts like OOP, iterators, and generators. Many reviewers highlight the practical projects and hands-on coding exercises as particularly valuable for solidifying understanding and building real-world skills. The course is often recommended for both absolute beginners and those looking to deepen their knowledge. While the course covers a lot of material, some learners note that the pace can be fast, requiring pausing or rewatching sections, especially for complete novices. Overall, it is seen as a strong foundation for those pursuing careers in tech fields like data science and web development.

Some topics move quicker than expected.

"Sometimes the pace felt a bit rushed, especially through the more complex topics."

"As a complete beginner, I sometimes had to pause and rewatch sections multiple times."

"Found the earlier modules easy, but later sections moved quite fast."

"Might require supplementary resources if you struggle with the speed."

Provides robust understanding of core Python.

"This course provides a rock-solid foundation in Python programming."

"I gained a deep understanding of Python fundamentals through this course."

"Helped me build the necessary skills to tackle more complex programming challenges."

"Definitely feel prepared to move on to more specialized Python areas after this."

Instructors explain topics clearly.

"The instructors do a great job explaining concepts in a clear and understandable way."

"Really liked the teaching style, made learning complex topics much easier."

"Explanations are concise and easy to digest."

"Found the instructors engaging and knowledgeable."

Suitable starting point for novices.

"As someone completely new to programming, I found this course easy to follow from the start."

"A great introduction for absolute beginners, breaking down complex ideas."

"It lays a very strong foundation if you're starting from scratch."

"Didn't know any Python before this, and now I feel confident in the basics."

Projects and exercises are very helpful.

"Loved building the projects, they helped solidify my understanding much more than just watching lectures."

"The coding exercises and projects are the best part, they make you actually apply what you learn."

"Working through the URL Shortener and Text Generation projects was challenging but very rewarding."

"The hands-on labs and exercises provided throughout are excellent for practice."

Covers a vast range of Python concepts.

"I feel like I got a really solid foundation, touching on everything from basics to OOP and more."

"The course covers a lot of ground, definitely lives up to the 'Master Course' title."

"It takes you from the very beginning through intermediate and some advanced topics."

"Really appreciate the depth, especially the sections on iterators, generators, and decorators."

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Python Programming Master Course with these activities:

Review Python Syntax Fundamentals

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Reinforce your understanding of fundamental Python syntax before diving into more advanced topics. This will help you grasp new concepts more easily and avoid common errors.

Browse courses on Python Syntax

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Review basic data types (integers, floats, strings, booleans).
Practice writing simple programs using variables, operators, and expressions.
Familiarize yourself with control flow statements (if, else, for, while).

Read 'Python Crash Course'

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Supplement your learning with a comprehensive guide to Python programming. This book offers clear explanations, practical examples, and hands-on projects to solidify your understanding.

View Python Crash Course, 2nd Edition: A Hands-On,... on Amazon

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Read the introductory chapters covering basic Python syntax and data structures.
Work through the example projects to gain practical experience.
Use the book as a reference for specific topics or concepts covered in the course.

Solve CodingBat Problems

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Sharpen your problem-solving skills by working through coding exercises on CodingBat. This will help you apply the concepts learned in the course and improve your coding fluency.

Show steps

Visit the CodingBat website (codingbat.com).
Select the 'Python' category.
Work through the problems in the 'Warmup-1' and 'Warmup-2' sections.
Gradually move on to more challenging problem sets.

Four other activities

Expand to see all activities and additional details

Show all seven activities

Build a Simple Calculator

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Apply your knowledge of Python fundamentals by creating a simple calculator program. This project will reinforce your understanding of variables, operators, conditional statements, and functions.

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Define functions for basic arithmetic operations (addition, subtraction, multiplication, division).
Get user input for numbers and the desired operation.
Perform the calculation and display the result.
Add error handling to handle invalid input (e.g., division by zero).

Create a Python Cheat Sheet

Show steps

Consolidate your learning by creating a cheat sheet summarizing key Python concepts and syntax. This will serve as a valuable reference tool for future projects.

Show steps

Review your course notes and identify the most important concepts.
Organize the information into logical categories (e.g., data types, operators, control flow, functions).
Write concise explanations and examples for each concept.
Format the cheat sheet for easy readability.

Contribute to a Python Project on GitHub

Show steps

Gain real-world experience by contributing to an open-source Python project on GitHub. This will expose you to collaborative development practices and allow you to learn from experienced developers.

Show steps

Find a Python project on GitHub that interests you.
Read the project's documentation and contribution guidelines.
Identify a bug or feature that you can contribute to.
Submit a pull request with your changes.

Dive into Python 3

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Expand your knowledge with a detailed exploration of Python 3's advanced features. This book provides in-depth explanations and practical examples to help you master the language.

View Dive Into Python 3 on Amazon

Show steps

Read the chapters covering topics that you find challenging or interesting.
Experiment with the code examples and try to modify them.
Use the book as a reference for specific Python features or libraries.

Career center

Learners who complete Python Programming Master Course will develop knowledge and skills that may be useful to these careers:

Python Developer

Python developers specialize in building applications and systems using the Python programming language. This course provides complete and hands-on training in Python3. The Python Programming Master Course covers a wide range of topics, from basic syntax to advanced concepts like object-oriented programming and modules/packages. For someone who wishes to become a Python developer, mastering these skills is essential for building scalable and maintainable applications.

See salaries and explore the career path for Python Developer

Software Developer

Software developers design, code, and test software applications. This foundational course in Python provides a strong base for software development. The course covers fundamental concepts like data structures, file handling, and object-oriented programming, which are essential for building robust applications. Moreover, the problem solving and algorithmic questions featured in the course are directly relevant for the challenges a software developer must face on the job. Aspiring software developers building projects in Python may find this course especially useful.

See salaries and explore the career path for Software Developer

Backend Engineer

Backend engineers focus on the server-side logic, databases, and APIs that power applications. Python is often used for building scalable and efficient backend systems. The Python Programming Master Course provides a solid foundation in Python, covering essential concepts like data structures, object-oriented programming, and modules. A backend engineer may leverage the skills gained to design and implement APIs, manage databases, and ensure the performance and reliability of applications.

See salaries and explore the career path for Backend Engineer

Machine Learning Engineer

Machine learning engineers develop and deploy machine learning models that automate tasks and improve decision-making. Python is a foundational language in this field. The Python Programming Master Course teaches key concepts like object oriented programming. Furthermore, the course includes 30+ algorithmic problems. Someone who wishes to become a machine learning engineer should take this course to build a solid foundation in the language by learning from experienced instructors.

See salaries and explore the career path for Machine Learning Engineer

Data Scientist

A data scientist analyzes and interprets complex data to identify trends and patterns, helping organizations make informed decisions. Proficiency in Python is basically a requirement for this role. The Python Programming Master Course builds a foundation in Python, covering data structures, object oriented programming, and algorithmic problem solving. Grasping the fundamentals of Python with this course helps a prospective data scientist to manipulate data, develop machine learning models, and create insightful visualizations. This course may be useful for aspiring data scientists.

See salaries and explore the career path for Data Scientist

Data Analyst

A data analyst collects, cleans, and analyzes data to provide insights that support business decisions. Python is increasingly used for data analysis due to its rich ecosystem of libraries. The Python Programming Master Course helps build a strong base in Python programming. It introduces data structures, file handling, and algorithmic problem solving. An aspiring data analyst may find that this course helps them use Python to manipulate and analyze data, to create reports, and to communicate findings effectively.

See salaries and explore the career path for Data Analyst

Software Engineer

Software engineers apply engineering principles to design, develop, and maintain software systems. A comprehensive understanding of a language like Python helps in this field. The Python Programming Master Course covers a wide range of topics, including data structures, object oriented programming, and algorithmic problem solving. This course may be useful for software engineers who wish to enhance their coding skills and develop high-quality software solutions.

See salaries and explore the career path for Software Engineer

Web Developer

Web developers create and maintain websites and web applications. Python, often used with frameworks like Django and Flask, is popular for backend development. The Python Programming Master Course helps build a strong foundation in Python programming. It covers topics such as data structures, file handling, and modules/packages. A web developer may find that this course enables them to build robust server-side logic, interact with databases, and create dynamic web content.

See salaries and explore the career path for Web Developer

DevOps Engineer

DevOps engineers automate and streamline software development and deployment processes. Python is a valuable language for scripting and automation in DevOps. The Python Programming Master Course builds a foundation in Python, covering file handling, modules, and scripting. With this course, a prospective DevOps engineer can learn the fundamentals of Python required to automate tasks, manage infrastructure, and improve the efficiency of software delivery pipelines.

See salaries and explore the career path for DevOps Engineer

Research Scientist

Research scientists conduct experiments and analyze data to advance scientific knowledge. Python is commonly used in various scientific disciplines for data analysis, simulation, and modeling. The Python Programming Master Course helps build a base in Python, covering data structures and algorithmic problem solving. A research scientist may find this background useful for automating experiments, processing large datasets, and visualizing results for publications.

See salaries and explore the career path for Research Scientist

Quantitative Analyst

Quantitative analysts use mathematical and statistical models to analyze financial data and make trading decisions. Python is widely used in quantitative finance for data analysis, model development, and algorithmic trading. The Python Programming Master Course teaches fundamental concepts like data structures and algorithmic problem solving. For someone who wishes to become a quantitative analyst, this course helps them leverage Python to analyze data, implement trading strategies, and manage risk.

See salaries and explore the career path for Quantitative Analyst

Business Intelligence Analyst

Business intelligence analysts analyze data to identify trends and insights that inform business strategies. Python is useful for data extraction, transformation, and loading (ETL) processes. The Python Programming Master Course builds a foundation in Python, covering file handling, data structures, and modules. Completing this course may help a business intelligence analyst develop scripts to automate data processing tasks.

See salaries and explore the career path for Business Intelligence Analyst

System Administrator

System administrators are responsible for the upkeep, configuration, and reliable operation of computer systems. Python is a valuable tool for automating tasks and managing systems. The Python Programming Master Course teaches file handling and scripting. A System Administrator may leverage Python to automate system maintenance and to manage configurations efficiently.

See salaries and explore the career path for System Administrator

Database Administrator

Database administrators manage and maintain databases, ensuring data integrity, security, and availability. While database administration is not primarily a programming role, Python is useful for scripting and automation tasks. The Python Programming Master Course provides a foundation in Python scripting, file handling, and modules. This course can assist database administrators in automating routine tasks. It might also help with creating custom monitoring and management tools.

See salaries and explore the career path for Database Administrator

Game Developer

Game developers create video games for various platforms. While specialized game engines often use other languages, Python can be used for scripting, tools development, and prototyping. The Python Programming Master Course helps build a base in Python, covering data structures and object oriented programming. A game developer may find that this course enhances their skills in building custom tools and automating tasks for game development.

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Python Programming Master Course

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What's inside

Learning objectives

Syllabus

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Reviews summary

Comprehensive python from basics to advanced

Activities

Career center

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