Python Programming: Beginner to Professional Complete Course from Udemy

What's inside

Learning objectives

How to master and use python programming language to build amazing, fun and even advanced programs and projects without prior experience
You will be able to learn python programming professionally to develop anything you want
Create a big portfolio of python apps and projects to get any developer job you desire.
Use python programming for data science and machine learning and even ai
Build desktop applications and guis with python
You'll learn web development, automation, app and game development and even advance subjects like data science and machine learning all using python.

Build fun and even complicated games using python
Build fully fledged and functioning websites and web applications using python without any prior web development experience
You'll learn about different python development frameworks such as flask, request, scikit learn, selenium,plotly, beautiful soup, pandas, numpy and matplotlib
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How to master and use python programming language to build amazing, fun and even advanced programs and projects without prior experience
You will be able to learn python programming professionally to develop anything you want
Create a big portfolio of python apps and projects to get any developer job you desire.
Use python programming for data science and machine learning and even ai
Build desktop applications and guis with python
You'll learn web development, automation, app and game development and even advance subjects like data science and machine learning all using python.
Build fun and even complicated games using python
Build fully fledged and functioning websites and web applications using python without any prior web development experience
You'll learn about different python development frameworks such as flask, request, scikit learn, selenium,plotly, beautiful soup, pandas, numpy and matplotlib
Show more
Show less

Syllabus

In this section, you'll learn some of the basics of Python and get ready before we start coding!

In this lesson, you'll learn about my experience of learning Python and will learn to avoid making the mistakes I made and also the fastest and best way to learn programing.

Access my personal Python syntax cheat sheet to make it easier to learn and implement Python programs.

In this lesson, you'll get familiar with some of the popular Python IDEs or Integrated Development Environments and learn how to access them to get started in coding.

A quick video with a resource to help you get the most out of this course.

A quick video on interactive lessons of the course and what you'll see as you watch each video.

Welcome! Here's a quick video on what you're going to achieve by the end of this section.

In this lesson, I'll teach you how to setup your Replit account and get everything ready for our first coding lessons and practice.

Learn about the basics of commenting and how to use comments in your code or why you should be using comments in the first place.

In this lesson, you'll get familiar with the first concept of python programming, the Print function, and writing a hello world program!

In this video, you'll learn about a useful coding logic tool to help you understand the code you write better.

Practice with me as we go through a few different scenarios where we have to use the print function to display text in Python.

In this lesson, you'll learn about String Manipulation and how to mix strings to create new ones.

In this quick Python coding practice, you'll learn to create 3 different types of print functions and show a string in different methods.

In this lesson, you'll learn the basics of the input function, allowing you to ask for information from the user.

A chance to practice and solve a few input function problems.

In this lesson, you'll learn about Variables and how they're used.

In this lesson, you'll access a few fun variable-related practices to improve your knowledge of python variables.

In this lesson, you'll learn a bit about python errors and debugging and will get familiar with a great source of information to get help with your code whenever you need it.

In this lesson, you'll do a quick debugging practice to improve your problem-solving skills when it comes to coding.

In this section, you'll watch me as I create a simple business name generator program with everything we've learned so far in this section.

A quick introduction to the goal of this section and what you'll learn.

In this video, you'll learn about the length function, a useful function to work with strings.

Learn about Subscripting and how it's used in Python programming.

This lesson covers data types, what they mean, and how they're used.

Learn about the ways you can convert data types to each other in python.

A quick note on your coding syle and model before we go to the next lesson.

In this practice session, you'll learn to solve a coding problem and create a very unique project using what you've learned so far.

Learn about different mathematical operators and how to use them in your code to calculate numbers.

Let's create a body mass index calculator using what we've learned so far in python!

In this lesson, you'll learn about python number manipulation and ways that you can work with numbers to change them throughout your program.

In this lesson, you'll learn about f strings, a simple and cleaner way to display text in python.

A quick coding exercise to build an interesting life-span calculator.

In the final project of this section, we'll build a restaurant bill calculator!

You're awesome!

A quick introduction to the section and what you'll learn by the end.

In this quick lesson, you'll see a real-life example of if and else statements to get familiar with the concept before we jump into the code.

A visual explainer on indentations to help you understand the concept of if and else statements and the code better.

In this lesson, you'll learn about If and Else statements and will learn how to code them.

A quick introduction to Modulo and how it's used in Python.

A quick and fun practice to let you put everything you've learned so far into use.

In this lesson, you'll learn about an important concept within the if and else statements, the nested if and else statements.

A more visual explanation of the nested if and else statements to help you understand the concept better.

In this lesson, you'll learn about elif statements and how to use them to check for multiple conditions.

A practice to put everything you've learned so far to use.

A complicated coding challenge to test your skills so far.

Learn about multiple if statement structure and how it works.

This a quick practice to teach you to use if and else statements alongside operators to create Python programs.

In this lesson, you'll learn about Python logical operators and how to use them in your code.

In this lesson, you'll learn about the Python lower() method.

introduction to the python count method and how it's used.

The final project of this section, where we create a fun alien game using python!

A quick introduction to the section.

Introduction to Python modules, how to use them in your code, and a quick introduction to random modules.

In this lesson, you'll do a quick practice with Python built-in modules.

A quick lesson on custom modules.

A complete introduction to Python lists and how to use them in Python to store and append data.

Learn about String Split, a method to turn data or information into a python list.

In this practice, you'll get to use all of the new things you've learned so far to create a food chooser program to make your decisions easier.

Learn about random choice, a simple method to simplify the randomization of lists.

A quick lesson on the "out of range" error.

A quick introduction into nested lists and how to use them in Python

In this practice lesson, you'll create a program that marks a board based on the position that the user enters.

In this practice, you'll create a rock-paper-scissors game that you can play against the computer.

A quick introduction to this section.

A quick introduction to loops and their use.

More on loops, their code structure and how to use them.

Learn about the use of if statements in the for loops and a simple example of using if statements inside for loops.

In this lesson, you'll do a quick exercise on loops with if statements and create a small program to find the highest score.

In this lesson, you'll learn about range function and its use cases.

A simple range practice to get you familiar with the concept.

In this lesson, you'll learn about a simple function in python to avoid having to write large lines of code for finding the minimum and maximum values of a list.

In this quick lesson, you'll learn about the sum function and how it's used.

In this fun practice, you'll create a password generator app using for loops and random methods.

A quick introduction to what you'll learn in this section.

Learn about functions and how to define new ones.

A quick practice on built-in and custom functions to help you understand the concept a little better.

In this video, you'll learn about custom functions in action and will use a tool to practice functions for yourself.

In this lesson, you'll do a more complicated custom function practice and will get to use for loops inside your code as well.

Learn about while loops and put them to use in your hurdles practice.

A quick practice on while not condition and how to check for other factors while running a loop.

In this lesson, you'll see the difference between a for loop and a while loop in action.

In this practice session, you'll learn to do a much more complicated and random hurdles practice and use functions, while loops and if and else statements.

Variable Heights Practice to help you create a more clever jump function for your practice.

In the final practice of this section, you will solve a complicated problem using while loops.

A quick introduction to this section and what to expect.

In this practice lesson, you'll code a program that finds the numbers divisible by another number between a range of numbers.

In this lesson, you'll create a game in which the user tries to predict a random number.

A quick introduction to this section and what you'll learn inside.

In this lesson, you'll learn about the basic rules of the game and will see the structure of what we're planning to build.

The first step of our game creation process is creating the random word system.

Traffic lights

Read about what's good

what should give you pause

and possible dealbreakers

Begins with the basics of Python syntax and programming concepts, which builds a strong foundation for absolute beginners in the field of software development

Covers a wide range of topics, from basic syntax to web development, data analysis, and machine learning, making it a comprehensive option for career advancement

Includes hands-on experience with practical projects and exercises, which keeps learners engaged and motivated throughout their learning journey

Explores popular frameworks such as Flask and Django, which are useful for learners interested in web development with Python

Requires learners to install and use software such as PyCharm, Jupyter Notebook, and Google Colab, which may require learners to have access to a computer

Teaches Bootstrap 4, which was released in 2018 and has been succeeded by newer versions, such as Bootstrap 5, released in 2021

Reviews summary

Comprehensive python path for beginners

According to learners, this course is a largely positive experience, particularly for those starting their Python journey. Many praise its comprehensive nature and how it effectively takes students from absolute beginner to covering various topics like web development, data science, and automation. The hands-on projects and exercises are frequently highlighted as a major strength, providing practical application and helping build a portfolio. While the course covers a wide array of subjects, some feedback indicates that due to this breadth, certain advanced topics may not be explored in significant depth, which might be a consideration for intermediate learners seeking mastery in specific areas. Overall, it's seen as a solid foundation and a great starting point.

Instructor's explanations are easy to follow.

"The instructor explains concepts clearly and at a good pace for beginners. Very easy to listen to."

"I found the teaching style engaging and easy to understand. The videos were well-produced."

"Explanations were logical and built upon previous lessons, making the learning curve smooth."

"The way the instructor broke down difficult topics made them seem much simpler."

Covers a wide range of Python applications.

"It covers everything from basics to web dev, data science, and even games. A true 'beginner to professional' overview."

"I was impressed by the breadth of topics introduced, giving me a taste of different fields where Python is used."

"Getting exposure to Flask, Pandas, and Scikit-learn all in one course is a huge plus for exploring career paths."

"The syllabus promised a lot, and it really does touch upon many different areas of Python programming."

Practical coding exercises are a highlight.

"The projects provided are practical and help solidify the concepts taught. Building real programs was key for me."

"I loved the hands-on approach. Actually building things like games and a calculator made learning fun and effective."

"The projects felt very relevant and helped me understand how to apply Python in real-world scenarios."

"Working through the coding challenges and final projects significantly boosted my confidence in writing code."

Excellent starting point for new coders.

"This course truly starts from scratch, assuming no prior knowledge. I felt comfortable and guided from the first lesson."

"As someone who had never coded before, this course made Python accessible and easy to grasp."

"It perfectly caters to beginners, breaking down complex ideas into manageable steps. I learned so much!"

"I found the early sections on basics like variables, loops, and functions very clear and easy to follow."

Breadth means less depth in advanced areas.

"While it covers many topics, the advanced sections felt a bit rushed and didn't go as deep as I hoped for professional application."

"The course is great for introduction, but to truly master web dev or ML, you'll need additional, more specialized courses."

"I felt the coverage of some libraries like TensorFlow was more of a quick overview than in-depth teaching."

"It provides a solid overview, but don't expect to be a deep expert in any single advanced area just from this course."

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: Beginner to Professional Complete Course with these activities:

Review Basic Programming Concepts

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Reinforces fundamental programming concepts, ensuring a solid foundation for learning Python.

Browse courses on Variables

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Review notes from a previous introductory programming course.
Complete online quizzes on basic programming concepts.
Write simple programs using variables, data types, and operators.

Review 'Automate the Boring Stuff with Python'

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Provides practical examples of how Python can be used to automate tasks, reinforcing learning through application.

View Automate the Boring Stuff with Python, 3rd... on Amazon

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Read the introductory chapters covering basic Python syntax.
Work through the examples related to automating file manipulation.
Adapt one of the examples to automate a task on your own computer.

Practice Python Syntax on CodingBat

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Reinforces Python syntax and problem-solving skills through repetitive exercises.

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Visit the CodingBat website and select the Python section.
Complete the warm-up exercises to practice basic syntax.
Work through the string and list exercises to improve manipulation skills.

Four other activities

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Show all seven activities

Build a Simple Text-Based Game

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Applies learned concepts to create a functional game, solidifying understanding of control flow, functions, and user input.

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Design the game's concept, including rules and objectives.
Implement the game logic using functions and control flow statements.
Add user input and output to make the game interactive.
Test and debug the game to ensure it functions correctly.

Create a Python Cheat Sheet

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Compiles key Python syntax and concepts into a concise reference guide, reinforcing understanding and aiding future recall.

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Review the course materials and identify key syntax elements.
Organize the cheat sheet by topic, such as data types, loops, and functions.
Include examples for each syntax element to illustrate usage.
Share the cheat sheet with other students for feedback.

Review 'Python Crash Course'

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Offers a comprehensive overview of Python, reinforcing concepts learned in the course and providing additional examples.

View Python Crash Course, 3rd Edition: A Hands-On,... on Amazon

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Read the chapters covering data structures and algorithms.
Complete the exercises at the end of each chapter to test your understanding.
Explore the advanced topics, such as web development and data visualization.

Contribute to a Python Project on GitHub

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Provides hands-on experience with real-world Python projects, enhancing collaboration and coding skills.

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

Career center

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

Data Scientist

A data scientist analyzes large datasets to discover trends and insights, utilizing programming skills. This Python course is extremely relevant to a data scientist position as it covers Python libraries like NumPy, Pandas, and Matplotlib used for data analysis and visualization. The course teaches machine learning with libraries like Scikit-learn and TensorFlow, which are essential for building predictive models. Hands-on experience with projects and exercises will help you to become a data scientist. A person wishing to enter this field should take this course so that they develop the data analysis and machine learning skills necessary for success.

See salaries and explore the career path for Data Scientist

Artificial Intelligence Engineer

An artificial intelligence engineer builds and deploys AI models. This Python course is extremely useful to an aspiring artificial intelligence engineer due to its coverage of machine learning with Python and essential libraries such as Scikit-learn and TensorFlow. You will be building practical projects, gaining experience vital for a career in this field. This course also covers data analysis and visualization, which are crucial for AI development. A person wishing to enter this field should take this course to learn the foundation of skills needed for AI.

See salaries and explore the career path for Artificial Intelligence Engineer

Machine Learning Engineer

A machine learning engineer develops and implements machine learning models. This Python course helps one become a machine learning engineer by providing training in Python with the machine learning libraries like Scikit-learn and TensorFlow. The hands-on experience with projects helps build a portfolio demonstrating practical application of machine learning concepts. You will find this course invaluable as it covers core machine learning concepts along with a range of essential software. The course also teaches data analysis and visualization, which are critical skills for this role. One who wants to enter this field should learn the required coding skills here through a focused learning experience.

See salaries and explore the career path for Machine Learning Engineer

Software Developer

A software developer designs, develops, and maintains software applications. This Python course helps build a foundation for a career as a software developer through its comprehensive coverage of Python, a language widely used in software development. The course's focus on building real-world applications, learning object oriented programming, and mastering relevant libraries, is directly applicable to the work of a software developer. The course will help one learn practical skills, including web development with Python frameworks and scripting for automation crucial for aspiring software developers. Someone wishing to enter this field should take this course to learn the necessary coding skills and practices.

See salaries and explore the career path for Software Developer

Full-Stack Developer

A full stack developer works on both the front-end and back-end of web applications. This Python course helps prepare for a role as a full stack developer since it teaches both front-end and back-end technologies, with frameworks like Flask and Django. The course coverage of data analysis, web scraping, and database management are valuable to a full stack developer. A person who wishes to enter this field should take this course as it provides a comprehensive foundation in full stack development.

See salaries and explore the career path for Full-Stack Developer

Data Analyst

A data analyst interprets and visualizes data to inform business decisions. This Python course helps build a foundation to be a data analyst by teaching Python and libraries like Pandas, NumPy, and Matplotlib to perform data manipulation and analysis. The course teaches data visualization techniques, important for presenting findings clearly. By the end of this course, a learner will have the capability to interpret data and implement solutions. A person wishing to enter this field should take this course to learn Python and data tools.

See salaries and explore the career path for Data Analyst

Web Developer

A web developer creates and maintains websites and web applications. This Python course may be useful for aspiring web developers because it covers web development with Python frameworks like Flask and Django. A web developer would benefit from the course’s lessons on front-end technologies such as HTML, CSS, and Bootstrap, which are essential for creating user interfaces. By learning these skills and building web applications as taught in the course, one develops the skills needed to succeed as a web developer. The course also covers backend aspects by working with APIs and databases, which are valuable for full stack development. Someone wishing to enter this field should take this course to learn the necessary coding skills and practices.

See salaries and explore the career path for Web Developer

Game Developer

A game developer designs and codes video games. This Python course helps build a foundation for a career as a game developer, as it covers game development using Python and libraries such as Turtle. The course teaches essential programming concepts, such as object-oriented programming, which are crucial for game development. The course offers hands-on experience with building games, which is important for developing practical skills as a game developer. Anyone wishing to enter this field should take this course to learn the necessary coding skills and practices.

See salaries and explore the career path for Game Developer

Automation Engineer

An automation engineer is responsible for designing and implementing automated systems, often using programming languages. This Python course helps prepare for a career as an automation engineer by teaching Python, a language widely utilized for automation tasks including scripting. The course includes lessons on web scraping and working with libraries needed to complete these tasks. Practical projects in this course will be useful to engineers in designing automation systems. A person wishing to enter this field should take this course given the coverage of scripting and task automation.

See salaries and explore the career path for Automation Engineer

Business Intelligence Analyst

A business intelligence analyst uses data to produce insights that drive business strategies. This Python course may be useful to a business intelligence analyst because it provides training in Python, a primary tool for data analysis. The course’s emphasis on data manipulation, visualization, and statistical analysis using libraries like Pandas and Matplotlib will be helpful to an analyst. The course provides a good basis for those seeking careers in the field of data. A person wishing to enter this field should take this course to learn these data analysis tools.

See salaries and explore the career path for Business Intelligence Analyst

Backend Developer

A backend developer works on the server-side logic and databases of web applications. This Python course may be useful for aspiring backend developers because it covers Flask framework for web development, which is widely used for creating backend web services. This course includes learning about databases, REST APIs, and authentication, which are key elements of backend development. With exposure to these technologies, aspiring backend developers will develop the necessary skills for their field. A person wishing to enter this field should take this course to develop those useful skills.

See salaries and explore the career path for Backend Developer

Software Tester

A software tester evaluates software to ensure quality and identify defects. This Python course may be useful to a software tester by providing programming skills needed to develop automated test scripts using Python scripting and frameworks like Selenium Web Driver, covered in the course. The course develops problem solving skills and logical thinking that will help software testers. The course enables development of automation workflows for testing and quality assurance. A person wishing to enter this field should take this course to learn those automation and testing skills.

See salaries and explore the career path for Software Tester

Research Scientist

A research scientist conducts research and experiments, often utilizing data analysis and programming. This Python course may be useful for research scientists because it teaches Python, a popular language for data analysis and machine learning. The course covers libraries useful for data visualization and statistical analysis like NumPy, Pandas, and Matplotlib, which are often used in research. The course will help those with a need for automation of tasks, and the development of tools and workflows related to research. A person wishing to enter this field should take this course to learn those useful skills.

See salaries and explore the career path for Research Scientist

Database Administrator

A database administrator manages and maintains databases, ensuring data integrity and accessibility. While this Python course primarily focuses on programming, it may be useful since it teaches how to interact with databases using SQL and SQLite, which are essential skills for a database administrator. The course introduces database concepts and technologies that are relevant to database administration. Aspiring database administrators can use the Python programming skills learned here to automate database tasks and build tools to support data management. A person wishing to enter this field should take this course to learn how to use Python to interface with databases.

See salaries and explore the career path for Database Administrator

Front-End Developer

A front end developer creates the user interface of websites and web applications. This Python course may be useful for a front end developer by providing a basic understanding of front-end technologies like HTML, CSS, and Bootstrap. While Python is not primarily a front-end language, the course provides a holistic view of web development that is beneficial. These skills help the developer understand the complete process of web application development. A person wishing to enter this field should take this course to learn the basics of web development.

See salaries and explore the career path for Front-End Developer

Python Programming

Beginner to Professional Complete Course

What's inside

Learning objectives

Syllabus

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Reviews summary

Comprehensive python path for beginners

Activities

Career center

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