You will use Python libraries such as Pandas, Numpy & Beautiful Soup. You’ll also use Python to perform tasks such as data collection and web scraping with APIs. You will practice and apply what you learn through hands-on labs using Jupyter Notebooks. By the end of this course, you’ll feel comfortable creating basic programs, working with data, and automating real-world tasks using Python.

You will learn to parse strings, how to deal with edge cases, and also learn how to prettily format text in the command line. You’ll learn how to process strings given by the user and draw text and shapes on a canvas. You’ll use this concept to build a digital stopwatch that’ll keep track of time to the tenths of a second. What separates this course from others is that it is project-based, encouraging you to build and research things from scratch, an invaluable skill for developers in the real world. The course starts with an introduction to computing and explains how computers work. You’ll learn the jargon of computing and understand how code processing works.

What you’ll learn

Of course, you’ll explore data structures like lists, dictionaries, and strings, and how to manipulate them. Moving on, you’ll learn about lists and how to use them to store data. You’ll discover how to create lists and manipulate them by subsetting, extending, replacing or deleting their elements. Moving on, you’ll learn about decompositions and abstraction and how functions serve to achieve those purposes and encapsulate functionality.

I have been recommending it to many people so that they don’t have to make the mistake I did and waste their time on another course. Build your own portfolio website with a contact form that allows clients and employers to contact you for work and projects. We will use HTML, CSS, JavaScript and create our backend using Python and Flask. Scrape data from the popular HackerNews website and display only the most important articles for you to read for a specific day. You will build an actual portfolio website using Python that your future employer and customers can contact you at.

Introduction to Python Programming

We’re going to build our own machine learning model and even perform image detection. By enrolling today, you’ll also get to join our exclusive live online community classroom to learn alongside thousands of students, alumni, mentors, TAs and Instructors. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page. It gave me a good understanding of the basics of Python Programming , Python syntax and I really liked Brandon’s teaching style.

And after each lecture, you will be quizzed on what you’ve learnt from the video. Scientific Computing with Python, offered by the folks here at freeCodeCamp, is based on Python for Everybody, the Coursera specialization that includes this ranking’s #1 pick. Third, during our research, we came across courses that felt well-made but weren’t well-known. If we adopted a purely data-centric approach, we would have to leave those courses out of the ranking, if only because they had fewer enrollments.

Choose the Web Development in Python Course That Aligns Best With Your Educational Goals

Regarding assignments, at the end of each week you’ll have to complete a graded assignment. You’ll also create 5 scientific computing projects, each graded automatically. You will have to parse an initial time and weekday, add a particular duration to it (say 14 hours), and finally return the new time and day. The first project involves building an arithmetic formatter that aligns arithmetic expressions vertically, just the way you would if you were doing the calculations by hand.

I had to learn Python for new projects at work and I’d say this course is the best one. I took the Complete Web Developer course and landed a Software Developer job after only 6 months. Discovering Andrei’s courses has been the best move of my career. You can start learning right now and if this course isn’t everything you expected, we’ll refund you 100% within 30 days.

Using Python for Research

This course is fairly comprehensive and introduces you to some topics other introductory courses normally don’t offer, like regular expressions, web scraping, and GUI automation. Plus, as you might’ve guessed, this course is very hands-on and project-driven. Last but certainly not to be overlooked is Automate the Boring Stuff with Python Programming, taught by Al Sweigart on Udemy.

• It is easy to understand, so it’s one of the best languages for beginners to learn.
• You’ll know how and why you can use conditional statements to specify branching conditions in your code.
• We’ll then dive into advanced topics and different career fields in Python so you can get real-life practice and be ready for the real world.
• Students are introduced to core programming concepts like data structures, conditionals, loops, variables, and functions.

This course is based on the book with the same name, Automate the Boring Stuff with Python, which is freely available to read online. The course starts with a basic review of Python 3, in order to bring everyone up to speed, in preparation python developer training for the following weeks. Before that, however, you are recommended to take a self-assessment quiz to see if the course is a good fit for you. The course runs for four weeks, with an average time of 2 hours of study per week.

Do you provide a certificate of completion?

Your electronic Certificate will be added to your Accomplishments page – from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free. This module explains the basics of working with data in Python and begins the path with learning how to read and write files. Continue the module and uncover the best Python libraries that will aid in data manipulation and mathematical operations. When you enroll in the course, you get access to all of the courses in the Certificate, and you earn a certificate when you complete the work.

Python is one of the most popular languages in the programming and data science world and demand for individuals who have the ability to apply Python has never been higher. Both Python and R are free, open-source languages that can run on Windows, macOS, and Linux. Python can be used for a range of tasks, but is commonly used for data science and data analysis, web application development, and automation or scripting. It tends to be better for handling massive amounts of data, building deep learning models, and performing non-statistical tasks such as web scraping and running workflows. Python is among the most popular programming languages due to its versatility and simple, English-based language structure. With its widespread use, it tends to be an in-demand skill in several fields, including data analysis, software engineering, and IT.

Google IT Automation with Python

Great course for beginners and also those with experience in other languages to grasp python syntax, best practices, and get insight into Python careers and projects. You also get access to the large ZTM community and additional resources shared by Andrei. This module discusses Python fundamentals and begins with the concepts of conditions and branching. Meta builds technologies that help people connect with friends and family, find communities, and grow businesses.