Python is a powerful and flexible programing language. Guido van Rossum created this language in 1991. He used the name of the show “Monty Python” to prove that learning process of this language can be fun. Developers use Python for web development, game development, and machine learning. Why is Python a good language? There are several reasons. It is easy to learn. It is an interpretative language which means that you don’t need to compile anything. It allows users to manipulate data structures. How do you become a Python developer? Python is ideal for people who don’t have programming experience. Guido made this language to help people who start to learn how to code. It is a very easy and readable language. We have researched this filed and found the Best Online Python Courses for you!
Ziyad Yehia’s The Python Bible™ | Everything You Need to Program in Python: Build 11 projects! Before you find a good course, you need to check if you have an opportunity to build something. While you learn new things, always think about, how can you use a gained knowledge to make a project. If you want to find a job as a Python developer, you need to have projects to show. In the course, you will learn how to make 11 Python 3 projects.
Lazy Programmer Inc., Artificial Intelligence: Reinforcement Learning in Python: Learn about reinforcement learning! If you want to have a deep understanding of what reinforcement learning is, enroll in the course. Artificial intelligence mean supervised and unsupervised machine learning. Reinforcement learning is a type of machine learning that covers these two concepts. It allows software agents to determine which behavior is good for a specific context. Sign up for the course to learn more about this.
Lazy Programmer Inc.,Natural Language Processing with Deep Learning in Python What will you learn here? You are going to learn 4 new architectures. These are word2vec, GLoVe, CBOW and recursive neural networks. Many courses teach you how to use a certain technology. With this course, you will learn how to build something and how to understand what you have built. Student and professionals are good candidates for the course.
Frank Kane, Taming Big Data with Apache Spark and Python – Hands On!: You will learn how to work on 15 Spark programs! You are going to run these programs on your computer. Together with the instructor, you will experiment with the options of these programs. Since “”big data”” is a very popular skill right now, you will learn how to use
Apache Spark. By using this tool, you are going to analyze movie ratings data and text in a book. For example, you will get the task to discover who is the most popular movie hero. People with some development background are desirable for the course. ”
Kirill Eremenko, Python A-Z™: Python For Data Science With Real Exercises!: Learn Python through exercises! In the course, you are going to learn Python step by step. After each lesson, you will get set of challenges you need to solve. This course is for people who struggle with learning Python. The instructor wants to show you how the
learning process can be easy. You will learn the core principles like integer, float, logical and other.
Lazy Programmer Inc., Advanced AI: Deep Reinforcement Learning in Python by Lazy Programmer Inc.: Build deep learning agents! If you want to find out more about deep learning and neural networks, this is the course for you. As you know, there are a lot of benefits of deep learning. The combination of deep learning and reinforcement is changing the world very fast. We have AlphaGo, self-driving cars and machines that can play games. You will learn about TD Lambda algorithm, RBF network, and the policy gradient method. The course is for professionals and for students.
Lazy Programmer Inc., Data Science: Deep Learning in Python by Lazy Programmer Inc.: Learn how deep learning works! In this course, you will build your first artificial neural network. To achieve this, you are going to use the concepts of deep learning. This course is for people who want to become a master at deep learning. Through practical examples, you are going to see how deep learning can be used everywhere. If you are a student or a professional, sign up for this course.
Al Sweigart, Automate the Boring Stuff with Python Programming: The course is for beginners! The learning process of Python shouldn’t be too long. The best way of learning is through practical examples. Are you an office worker who wants to increase your efficiency? Al Sweigart will show you how to write a program that does practical office tasks. If you want to be more productive and write a good code, you should sign up for the course. You will learn about web scraping, parsing PDFs and sending emails and text. This is the perfect introduction to Python programming.
Lazy Programmer Inc., Bayesian Machine Learning in Python: A/B Testing: We use A/B Testing everywhere. As you know, A/B testing is a technique in the form of an experiment between two sides. The goal of this technique is to see which performance is the best. The traditional way of A/B testing is sometimes complex and confusing. In the course, you will be able to see the Bayesian machine learning way of doing this. You will learn about the explore-exploit dilemma and the epsilon-greedy algorithm.
Lazy Programmer Inc., Deep Learning: Convolutional Neural Networks in Python: How to use deep learning for computer vision? The answer is a convolutional neural network. You will learn about convolution and how you can apply it to image and audio effects. You will learn how to install the convolutional neural network in TensorFlow. If these terms are familiar to you, you are an experienced developer. Extend your knowledge by enrolling in this course.
Lazy Programmer Inc.,Deep Learning: Recurrent Neural Networks in Python by Lazy Programmer Inc.: Understand the simple recurrent unit. In the first part of the course, you are going to learn about the concept of time. You will revisit the XOR problem and realize that the feed forward neural network has issues. Click the link of the course to find out more information about the course content.
365 Careers- Python for Finance: Investment Fundamentals & Data Analytics: Learn how to code in Python! It is up to you which way of learning Python you are going to use. This course offers you a chance to learn how to use Python from a different perspective. You will learn about the most popular financial concepts. Then you will apply these concepts in practice using Python. People who don’t have any coding experience can sign up for the course. All people interested in finance and investments are also good candidates.
Jose Portilla, Python for Data Science and Machine Learning Bootcamp: Do you want to become a data scientist? Here is a little motivation for you. The average salary for a data scientist is over $120,000. It is a great reason to check the course. You will learn about how to use Python to analyze data and create visualizations.You will get more than 100 video lectures and notebooks for every lecture. The course is adequate for people with at least some experience in programming.
Jose Portilla, Python and Django Full Stack Web Developer Bootcamp: This course covers everything! You will learn HTML, CSS, Bootstrap, JavaScript, Django, and Python. If you learn all these concepts you will become a full stack web developer. Do not worry about the amount of the content. The teacher has made this course for beginners. The course will save your time and money. You don’t need to buy a course for each of these technologies. You get everything in one place.
Jose Portilla, Python for Financial Analysis and Algorithmic Trading: Jose is a mechanical engineer. He is also a professional teacher for data science and programming. In this course, you are going to learn how to use Python for financial analysis purposes. Before you start with financial concepts, you will learn the fundamentals of Python. Then you are going to learn about core concepts such as pandas, matplotlib, numpy and other. People who have experience with Python are ideal candidates.
Jose Salvatierra, REST APIs with Flask and Python: Learn how to create REST APIs! Before you learn how to do that, you need to refresh your Python knowledge. The teacher will take you from the basics to the most advanced levels of Python. You need to be sure you know all core concepts of this language. The course will provide you the
following benefits. You will learn how to use Flask and related extensions to make REST APIs. At the end, you will be able to create REST APIs and to use SQLAlchemy to store data in a database.
Jose Portilla, Complete Python Bootcamp: Go from zero to hero in Python: Learn how to use Python! Many people often make mistakes when they try to find a good course. They end up with courses which learn them only the basics. You won’t find yourself a job by using this approach. If you enroll in this course, you will learn how to use Python like a pro. This course contains over 100 lectures and more than 10 hours of video. Beginners with no coding experiences are ideal candidates for the course.
Jose Portilla, Spark and Python for Big Data with PySpark: Why learn Python and Spark? Demands for Spark jobs have increased recent years. Spark is one of the most powerful Big Data tools. It has the ability to run programs 100x faster than Hadoop MapReduce. In this course, you will learn how to use the latest version of Spark and Spark Streaming. The targeted audience is people who have some experience with Python.
Jose Portilla, Learning Python for Data Analysis and Visualization: How to become a Python expert? You have basic math skills and basic Python skills. This course is perfect for you. In case you don’t have any experience, Jose suggests you check his “”Complete Python Bootcamp”” first. This course gives you the opportunity to extend your Python knowledge. You are going to learn how to create and manipulate arrays, how to use pandas, how to use matplotlib etc.
Francesco Mosconi, Zero to Deep Learning™ with Python and Keras: This is a complete introduction to deep learning! As you can guess, this is a course for beginners. Francesco is a data science consultant. He found the right balance between theory and practice in this course. At the start of the course, you will review deep learning
apps. Then you will see the explanation of connected, convolutional and recurrent neural networks.