90 Days of Python : From Zero to becoming a Pro Developer from Udemy

In this course, we will take a start from complete scratch and will assume that you never had a Python Programming Experience before. We will end this course by making you a Professional Python Engineer who is capable enough to apply his knowledge to build real world Applications and apply for Python Jobs. We will go in depth of everything so that you can learn each and everything about the topics that we will cover in this course. We have more than 25 Assignments in this course and each Assignment has 2- 10 Challenging Tasks. The Solution of most Assignments is also available just in case you got stuck in solving a Challenging Task.

We have made 10 Professional Level Applications in this course so that not only you learn the Concepts but you can also apply these concepts to make something real out it. We have Challenged and guided you to make real time Applications for you in different parts of the Course. After making these Applications that we have made and Challenged you to make, you will be capable enough to make any type of Professional Applications in Python

We have more than 2 Sections Specifically to prepare you for Job Interviews. We have been in touch with many people who have successfully passed the Python Job Interviews. After their Feedbacks, we have Added many interview questions with their solutions. We Added some of the most likely asked Interview questions and just by going through these questions, chances that you will perform really good is more than 80 percent. We would love your feedback of adding more and more questions so that other people can get as much help as possible.

This course aim to develop your skills to become capable for your coming professional life. In this course, if you have any problem understanding anything, you can feel free to directly message me or ask your questions in the Q/A Section and I will get back to you as soon as possible. The Last Section of the Course is related to the most asked Questions in this course

We wish you the very best for this course.

Hope this course will be very beneficial for you.

Good Luck

What's inside

Learning objectives

Learning python from absolute zero to becoming a pro developer
Make real time professional gui applications in python
Get fully prepared for any python job interview. we have 2 sections just for commonly asked python interview questions

Complete a case study to manage a project from conception to completion
Learn python concepts with real time examples. we have more than 25 assignments in this course

Learning python from absolute zero to becoming a pro developer
Make real time professional gui applications in python
Get fully prepared for any python job interview. we have 2 sections just for commonly asked python interview questions
Complete a case study to manage a project from conception to completion
Learn python concepts with real time examples. we have more than 25 assignments in this course

Syllabus

Day 1 : Setting up Pycharm and Writing the First Python Code

Introduction to Python Programming

Installing Python and Setting up Pycharm IDE

Writing down the First Python Program

Traffic lights

Read about what's good

what should give you pause

and possible dealbreakers

Starts from complete scratch, assuming no prior Python programming experience, making it suitable for individuals with little to no coding background

Includes more than 25 assignments, each with challenging tasks, to help learners solidify their understanding and build practical skills in Python development

Features the creation of 10 professional-level applications, enabling learners to apply concepts and build real-world projects to enhance their practical skills

Includes two sections specifically designed to prepare learners for Python job interviews, featuring commonly asked questions and solutions to boost confidence

Covers object-oriented programming concepts, including classes, objects, inheritance, and encapsulation, which are essential for building complex applications

Uses Pycharm IDE, which is a popular tool, so learners can gain experience with industry-standard software for Python development and debugging

Reviews summary

Comprehensive zero to pro python

According to learners, this course offers a comprehensive journey from absolute zero to becoming a capable Python developer. Many appreciate the well-structured content that progresses logically, making complex topics digestible for beginners. The course includes numerous assignments and projects, which students find practical and effective for applying concepts. While some mention that certain advanced topics could benefit from deeper dives or more challenging exercises, the overall consensus is that the course provides a very strong foundation and prepares learners well for professional applications and even job interviews, covering relevant questions. The instructor is frequently praised for being responsive and helpful in the Q&A.

Generally good pace, but some topics need more depth.

"The pace is generally good for beginners, covering a lot in 90 days."

"While it covers many topics, I felt some advanced areas could have been explored more deeply."

"It's a great introduction, but for true 'pro' level, additional resources might be needed for specific complex areas."

Instructor is responsive and helpful.

"The instructor was quick to answer my questions in the Q&A section, which was incredibly helpful."

"I received prompt and clear responses whenever I needed assistance."

"It's reassuring to know support is available when you get stuck on a concept or assignment."

Includes relevant job prep content.

"The sections on interview questions were a valuable addition and helped me feel more prepared."

"I appreciate that the course specifically addresses common interview topics and provides solutions."

"Knowing the kind of questions asked in interviews is a significant advantage this course provides."

Provides a strong base in Python basics.

"This course gave me a really solid understanding of core Python concepts."

"I started with zero knowledge, and now I feel confident in the fundamentals."

"It builds a very firm foundation for anyone looking to get into Python development."

Content builds logically, great for beginners.

"The content is structured logically, making it easy to follow even for someone starting from scratch."

"I really appreciate how the course starts with the basics and gradually introduces more complex topics."

"The lectures flow well and build upon each other, which helped solidify my understanding step by step."

Hands-on tasks reinforce learning effectively.

"The assignments and projects are excellent, allowing me to immediately practice what I learned."

"Building real applications was key to understanding how everything fits together."

"I found the challenging tasks within assignments particularly helpful for deeper understanding and problem-solving skills."

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 90 Days of Python : From Zero to becoming a Pro Developer with these activities:

Review Basic Programming Concepts

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Reinforce fundamental programming concepts like variables, data types, and control flow to build a solid foundation for learning Python.

Browse courses on Variables

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Review notes or online resources covering basic programming concepts.
Complete practice exercises on variables, data types, and control flow.
Write simple programs using these concepts.

Review "Python Crash Course, 2nd Edition: A Hands-On, Project-Based Introduction to Programming"

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Supplement the course material with a comprehensive guide that reinforces fundamental concepts and provides practical project examples.

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 hands-on experience.
Use the book as a reference for specific syntax or concepts encountered in the course.

Solve Python Coding Challenges on HackerRank

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Sharpen your Python coding skills by tackling a variety of coding challenges on HackerRank, focusing on topics covered in the course.

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Create an account on HackerRank.
Select Python as your preferred language.
Solve challenges related to data structures, algorithms, and object-oriented programming.
Analyze your solutions and compare them with others.

Four other activities

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Show all seven activities

Review "Automate the Boring Stuff with Python, 2nd Edition: Practical Programming for Total Beginners"

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Explore practical applications of Python by working through the examples and projects in this book, focusing on automating common tasks.

View Automate the Boring Stuff with Python, 2nd... on Amazon

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Read chapters related to automating file manipulation, web scraping, and email sending.
Work through the example projects to gain hands-on experience.
Adapt the examples to automate your own tasks.

Build a Simple GUI Application

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Apply your knowledge of Python and GUI programming to create a simple application, such as a calculator or a to-do list.

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Choose a simple GUI application to build.
Design the user interface.
Implement the application logic using Python and a GUI library (e.g., Tkinter, PyQt).
Test and debug your application.

Create a Python Cheat Sheet

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Consolidate your understanding of Python syntax and concepts by creating a cheat sheet that you can refer to later.

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Review the course materials and identify key concepts and syntax.
Organize the information into a clear and concise format.
Include examples and explanations for each concept.
Share your cheat sheet with other students for feedback.

Answer Questions on Python Forums

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Reinforce your understanding of Python by helping other students with their questions on online forums.

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Find online Python forums (e.g., Stack Overflow, Reddit).
Browse the forums for questions related to topics covered in the course.
Provide clear and helpful answers to the questions.
Explain your reasoning and provide code examples.

Career center

Learners who complete 90 Days of Python : From Zero to becoming a Pro Developer will develop knowledge and skills that may be useful to these careers:

Python Developer

A Python developer specializes in building applications and software using the Python programming language. This course is an excellent starting point, providing a comprehensive journey from the basics to advanced concepts. The course emphasizes practical application with over 25 assignments and the development of 10 professional-level applications, directly aligning with the responsibilities of a Python developer. The interview preparation section further enhances your readiness to enter the workforce, making this course a valuable asset for aspiring Python developers.

See salaries and explore the career path for Python Developer

Software Engineer

A software engineer designs, develops, and tests software applications. This course helps build a foundation in Python programming, a highly sought-after skill in the field. Through hands-on assignments and the creation of real-world applications, you gain practical experience that is invaluable for a software engineer. Furthermore, the course's focus on preparing for job interviews ensures that you will be well-equipped to showcase your skills and knowledge to potential employers. A software engineer should take this course because it covers the fundamentals of Python, and it provides practical experience that is highly relevant to the job.

See salaries and explore the career path for Software Engineer

Automation Engineer

An automation engineer designs, develops, and implements automated systems, often using scripting languages like Python. This course gives you the necessary Python skills to automate various tasks and processes. With a focus on practical application through assignments and real-world projects, you gain hands-on experience. The course's comprehensive coverage of Python concepts makes it useful for individuals aiming to streamline operations and improve efficiency in various industries, thus preparing them for the Automation Engineer position.

See salaries and explore the career path for Automation Engineer

Backend Developer

A backend developer focuses on server-side logic and database management for web applications. This course helps in acquiring Python programming skills, which are essential for backend development using frameworks like Django or Flask. The course's emphasis on hands-on projects and assignments provides practical experience in building and managing server-side applications. A backend developer should find this course useful due to its focus on real-world applications, providing a solid base for building backend systems.

See salaries and explore the career path for Backend Developer

DevOps Engineer

A DevOps engineer automates and streamlines software development and deployment processes. This course builds a foundation in Python, a valuable language for scripting and automation in DevOps environments. The course's assignments afford experience in writing scripts and automating tasks, skills that are directly applicable to a DevOps role. By learning Python through this course, those who wish to become DevOps engineers can automate processes and improve workflows.

See salaries and explore the career path for DevOps Engineer

Web Developer

A web developer builds and maintains websites and web applications. This course helps build a strong foundation in Python, which can be used with frameworks like Django and Flask for backend web development. The course's practical assignments and real-world application projects may prove helpful in gaining the hands-on experience needed to develop web applications. The section on job interview preparation can also be beneficial in securing a web developer role.

See salaries and explore the career path for Web Developer

Quality Assurance Engineer

A Quality Assurance Engineer ensures the quality of software through testing and analysis. This course helps build Python skills that can be used to automate testing processes, write test scripts, and analyze test results. The course's practical assignments may prove useful in developing the necessary problem-solving skills and attention to detail required for a Quality Assurance Engineer role. Also, the interview preparation section can help you communicate your skills effectively to potential employers.

See salaries and explore the career path for Quality Assurance Engineer

Data Scientist

A data scientist analyzes large datasets to extract meaningful insights and inform data-driven decisions. This course may be useful because it introduces you to Python, a language widely used in data science for tasks such as data manipulation, analysis, and visualization. The assignments and projects in the course can help you develop practical skills in applying Python to solve real-world problems, which is essential for a data scientist role. If you're looking to enter this field, the course's comprehensive approach, from basic to advanced concepts, could prove beneficial.

See salaries and explore the career path for Data Scientist

Data Engineer

A data engineer designs, builds, and maintains the infrastructure for data storage and processing. This course may be useful for individuals who are looking to enter this career option given that it teaches Python, a language which is used often in data engineering for tasks such as scripting, automation, and data pipeline development. The course's emphasis on assignments and real-world projects can help you develop the practical skills needed to manage and manipulate data effectively.

See salaries and explore the career path for Data Engineer

Machine Learning Engineer

A Machine Learning Engineer develops and deploys machine learning models. This course may be useful because it provides a foundation in Python, a core language in machine learning. While the course focuses on general Python development, the skills you gain in programming logic, data structures, and object-oriented programming can be applied to machine learning tasks. This course can be useful in preparing those who wish to pursue a career as a Machine Learning Engineer.

See salaries and explore the career path for Machine Learning Engineer

Game Developer

A game developer creates video games for various platforms. This course may be useful given that it provides a foundation in Python, which can be used with game development libraries such as Pygame or the Godot game engine. The skills you gain in programming logic, problem-solving, and object-oriented programming can be applied to game development tasks. Although game development is not the primary focus of this course, it still may prove useful to those with game development aspirations.

See salaries and explore the career path for Game Developer

Scientific Programmer

A scientific programmer develops software for scientific research and analysis. This course may be useful because it provides a foundation in Python, a language widely used in scientific computing. The skills you gain in programming logic, data structures, and problem-solving can be applied to scientific programming tasks. While the course focuses on general Python development, it can still be useful for those interested in scientific programming.

See salaries and explore the career path for Scientific Programmer

Embedded Systems Engineer

An embedded systems engineer develops software for embedded systems, such as those found in IoT devices or automobiles. Although typically programmed in C or C++, Python can be useful for testing and scripting in embedded systems development. This course helps build Python skills, which can be applied to automate testing or create utilities for embedded systems. Those who wish to enter this field of engineering may wish to take this course.

See salaries and explore the career path for Embedded Systems Engineer

Technical Writer

A technical writer creates documentation for software and hardware products. This course may be useful for Technical Writers to understand the basics of Python, which can help them in documenting Python code and libraries. While not directly related to technical writing, having a basic understanding of the technology they are documenting can be beneficial. Therefore, this course may be useful for aspiring Technical Writers.

See salaries and explore the career path for Technical Writer

IT Support Specialist

An IT support specialist provides technical assistance to users of computer systems. This course may be useful because it teaches you the basics of Python, which can be used to automate some IT tasks. The scripting skills you learn may be useful in automating tasks, and the programming logic you learn could help you understand and troubleshoot technical problems. IT Support Specialists may find this course to be very helpful.

See salaries and explore the career path for IT Support Specialist

90 Days of Python

From Zero to becoming a Pro Developer

What's inside

Learning objectives

Syllabus

Traffic lights

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Reviews summary

Comprehensive zero to pro python

Activities

Career center

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