As all, we know python is becoming an influencing programming language to the new developers. Of course, there are many reasons making python a fast-growing and popular programming language. The main reason may be python is easy to learn the language. In fact, its most of syntax’s can be comparable to the English language.If you are searching for the best python video tutorials. Then you have come to the right page. Here, You will find the all the python video tutorials from beginners to Advanced levels. We have divided the article into three sections Beginners, Intermediate and Advanced Python videos tutorials. In this article, you will find out the uniqueness of each of the video courses and what you will learn at the end. You will also come to know the number of the projects example in each course.
All the courses we have reviewed are paid courses. However, you are able to find the free courses. But there is a reason why I am telling you to buy the paid courses. Authors of the paid courses exclusive take care of their courses. For example, you will get the update on new topics in their courses. You will also get support and answer of any questions while reading the courses. Therefore we will recommend you to read their courses. Let’s find out the best python video tutorials.
Best Python Video Tutorials at the Beginner Level
The Python Bible™ – Everything You Need to Program in Python
This course is wonderful for those who have no prior understanding of any programming language. You will learn mostly all the general basics of Python. At the time of writing the python video tutorials article, it has nearly 11 sections. You will learn how to do the installation of python in all the three operating system Windows, MacOs, and Linux.Not only, Numbers, Variables. String are well defined, you will also learn how to use strings for handling the text.It has also covered the control flow functions in python. Data Structures are also included with this course like lists, dictionaries, Tuples e.t.c. There are only two requirements before you buy this course.
- You must have an access to an internet connection
- Attitude to learn this course.
What is Unique ?
- It doesn’t require any prior programming skills. Therefore this course is best for the beginners.
- You will learn how to make a rough and ready database.
- You will build 12 projects while learning this course.
The Total number of lectures of this course is around 72 with the total time to learn is 9 hours 10 minutes.
The Complete Python & PostgreSQL Developer Course
This course is for beginners who are interested in learning python with also database. You will have the basic understanding of software and programming. The installation methods of python have included in this course. It has 14 sections at the time of writing the article best python video tutorials. In addition to this course, You will know how to develop Python applications using data storage PostgreSQL. PostgreSQL is a database framework. You will know, this course is also made in such a way that it will be helpful in Jobs interviews. It has only one requirement.There is no pre-knowledge of programming is required.
What is Unique ?
- You will learn to create python applications using PostgreSQL , a framework of the database
- Will learn how to build a lottery app.
- It has 9 Python projects based on technologies PostgreSQL and Python.
- It has also Advanced Python section to learn Python basics in the advanced level.
The course has 21+ hours of video and 180 lectures videos.
Python for Beginners: Learn Python with Practical Exercises
The course contains the complete basics of the Python with quizzes, practical examples e.t.c. You will have a solid understanding of the fundamentals of the python after learning this course. You will learn how to develop a fully functional game in Python. It has total 9 sections. Some of the sections are like Data types and Methods, Control and looping, Functions, Error handling oops e.t.c. This course also includes File structure, Modules with the practical examples. There are only two requirements in this course
- You are enthusiastic to learn the Python.
- You must have MacOs as it has little support for the Windows Operating system.
What is Unique ?
- The course contains practical examples. Thus it makes you easy to learn python basics.
- You will learn how to build a fully functioning Python game using the terminal.
- This course includes Error Handling.
The course contains total 47 lectures and will take approximately three hours to complete the course.
Best Python Video Tutorials at the Intermediate Level
Python Beyond the Basics – Object-Oriented Programming
This course is great for who wants to learn about more about Object Oriented Programming ( OOPs). You will learn how to design reusable code using Classes and inheritance. It has total 9 sections. You will be first introduced by OOPs concept then classes, Inheritance, Polymorphism e.t.c. Its difficult for the new developers to get the good complexity of the code. In this course, You will learn how to apply oops concept to handle the complexity. It has only one requirement. You must have basic working knowledge of Python.
What is Unique ?
- You will learn how to debug and handle the errors.
- Able to apply oops concept for handling the complexity.
At the time of writing this article, this course has total 55 lectures and the total time of this course is around 5 hours.
REST APIs with Flask and Python
Rest APIs are the way to connect applications with servers. In this course, you will know how to connect different web or mobile applications to databases using APIs. In addition , you will learn how to create secure authentication system using it like logging, logout e.t.c. This course has eleven sections at the time of writing the article python video tutorials. Some of the course sections also include git version control. You must have previous knowledge of Python programming before starting this course.
- You will learn the different layers of a web server and how their application interacts with each other.
- This course also teach you how to simplify database storage using Flask-SQLAlchemy.
- A Python crash course included in the course section.
Total 132 lectures videos are in this course and the total time is 13.47 hrs to complete the course.
Complete Python Bootcamp: Go from zero to hero in Python 3
This course covers all the topics from basic to advanced levels. You will learn python syntax for the both version Python 2 and Python 3. Course also includes how to develop your own applications and games. In addition, You will not only learn advanced features like methods and timestamps but also the complex topics like decorators. Graphical User Interface (GUI) development using Jupyter Notebook System have included in this course. It has total 19 course sections. Only access to internet connection is the only requirement of the course.
- It covers from basic to advance topics in Python.
- You will learn both the Python 2 and Python 3.
- Understanding of GUIs Graphical Use Interface.
- You will able to create games like Tic Tac Toe and Black Jack.
- You will understand how to use Jupyter Notebook System.
This course has 22.5 hours of Demand Videos and total 174 lectures.
Python, The Next Level
Algorithms are the major part of any python programming language. By this course, you will learn how to design and make efficient algorithms. You will also learn to make python scripting more efficient. Debugging is expertise to find the errors in the code. You will understand the art of finding and testing problems in the large projects. In addition, Puzzles are also included in this course. This course has total seven sections. You have the basic understanding of Python Programming language before starting this course.
- You will be able to physically code faster.
- Course includes all the major algorithms of Graphs which is very useful.
This course has total 90 lectures and total time take to complete this course is 6.44 hours.
Best Python Video Tutorials at the Advanced Level
Scrapy: Powerful Web Scraping & Crawling with Python
Scrapy is a free and open source web crawling framework for crawling a single or multiple websites. In this course, you will learn to create advanced spider for web crawling. In addition, you will also learn to store the data fetched while crawling in the MySQL and MonogoDB database. This course will teach you how to logging to a website using scrapy. Along with this, you will know how to export data fetched by scrapy into CSV, Excel, XML, JSON. Real life web scraping of the websites like Linkedin, Craigslist e.t.c are also included. It has total 24 sections at the time of writing thie article python video tutorials.
- You will build own scrapy advance spider for crawling a single or multiple websites.
- Data extracted by scrapy are how stored in databases like MySQL and MongoDB, this course will teach you.
- You will learn how to crawl JavaScript enabled web pages using Scrapy with selenium.
This course has total 75 lectures and will take 8.23 hours to complete the course.
Learning Python for Data Analysis and Visualization
Data Science, Big data, and Machine Learning is the future. Data will be the oil in the coming year. This course will teach you how to analyze and visualize data. In addition, you will also get the full understanding of the Python Programming language. You will learn how to use Numpy library to create and manipulate arrays. Data can be in different formats like JSON, Excel worksheet , HTML e.t.c. You will learn to use data formats for visualization. There are visualization modules for the data. In this course, you will learn to create data visualization using these modules. This course has total 15 sections at the time of writing this article. There is two major requirement before learning this course.
- You must have basic math skills
- Basics to Intermediate knowledge of the Python is necessary.
- You will know different modules for the data visualization modules like Numpy, Pandas e.t.c.
- Machine learning sections has been also included with this course.
- You will understand the basic overview SQL and Statistics.
This course has total 110 lectures and will take 21+ hours for the completion of the course.
Python for Data Science and Machine Learning Bootcamp
This course will teach to use data science libraries like NumPy, Pandas, Seaborn, Matplotlib, Plotly, TensorFlow e.t.c. Python crash course has been included in it which is great to refresh your previous python programming language. You will also know web scrapping to crawl datas from one or more websites. You will learn to use Pandas for data analysis, Seaborn for statistical plots, scikit for doing the machine learning tasks. Many other things like Neural networks, Linear regression are also includes with this course. This course have total 27 sections. Previous programming experience is the only requirement for the course.
- Python crash course included in the course to refresh your understanding of Python.
- Major machine learning algorithms has been well explained.
- You will learn Big Data technologies and spark.
This course has total 143 lectures and total time is 21.32 hours for completion of the course.
Advanced AI: Deep Reinforcement Learning in Python
Artificial Intelligence is an area of computer science where intelligent machines perform tasks and work like the human. If you love to go in the field of Artificial Intelligence, then this course is best for you.In this course, you will learn Artificial Intelligence using deep learning and neural networks. You will able to build own deep learning agents to perform and improve tasks.There are various reinforcement learning algorithms in the Artificial Intelligence. You will be able to apply these algorithms to solve any problem after learning the course.A the time of writing this course have total 7 sections. First section is the introduction section , then second is background review where you will get a short review of topics like Markov Decisions process, Dynamic programming, Monte Carlo methods, approximation methods for reinforcement learning and many others. The following things are the required before starting this course.
- You must have knowledge of reinforcement learning basics, Monte Carlo, Dynamic Programming.
- Calculus and probability at the Under graduate level is the must.
- You must have experience in building machine learning models in Python programming language and Numpy.
- Basic understanding of Tensorflow, neural network are also required.
- You will design and build deep learning agents.
- Q learning using Deep neural networks.
- This course will teach you how to use deep learning with neural networks.
At the time of writing this python video tutorials article , total lectures in this course is 60 and time take to complete this course is 6.27 hours.
End Notes
Python is the popular and fast growing programming language. Although there are other programming language also, but there are many majors factors that makes python very scalable and reliable programming language. There are also dedicated articles written if you want to get some overview on Python language.
Introduction to Python Programming : Complete Guide for Beginner
Python Installation Tutorial: A Step by Step Complete Guide
Learn Python Essentials in 5 Minutes
There are other courses for the Python available in the Udemy Markets. But we had tried to find the best sellers and more popular courses. There are some courses also where sections and topics of a particular course will match to other courses. But We will recommend you to never leave any sections. Even if you know , you should practice the code what the author is telling. Quizes, Puzzlles and exercises are available in the courses. Our suggestion to everyone is that never try to skip these things as these are very helpful in memorization the Python code and will have practical experience of the Python Programming language.
Data Science Learner team also enthusiastic to solve the problems faced by the readers. We have always try our best to write the high quality article on every topic asked by the readers. You are welcome to write the comment below , If you are finding any new course which are eligible to include in this article or even missing course. If you had liked the article then Don’t forget to subscribe us to get interesting stuffs and tutorials on Python Programming language.
Data Science Learner Team
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