Do you want to learn Python Programming Language? Learn it from the Best Python Tutorial for Beginners, Certification, Course, and Training that you will find online. Python is a high level, general-purpose programming language. It is widely used by programmers all over the world. This object-oriented programming language has a large and comprehensive standard library. Python was first built in the 1980s and since then it has been developing. The latest version of this programming language, Python 3.0, was released in 2008. Ever since it was built, Python has been used by data scientists and programmers in every country. The best thing about Python is that it is easy to understand and adaptable with any of the operating systems. Anyone can learn Python programming language and use it to analyze data, create applications, develop web, and for many other things. It is the most in-demand programming language of this time. Python programmers get highly paid jobs for their skills. We have found the best courses you can find online to learn Python and listed those in here. These online courses will help you to shape your knowledge of Python. So, get through the list and details about those courses and chose one for yourself. Pierian Data International by Jose Portilla is presenting this online course on Python. You can go from the basics to creating your own applications and games with this course. It has a rating of 4.5 out of 5 on Udemy and over 457,000 enrolled students. This python tutorial for beginners provides 24 hours on-demand video, 19 articles and 19 coding exercises with lifetime access. This course will teach you both Python 2 and Python 3. You will learn to use Jupyter Notebook system and Object-Oriented Programming with online classes. This online course on Python programming language has over 100 lectures. It also includes quizzes, tests and homework assignments. They have 3 major projects to complete a Python portfolio.
By "structure" we mean the decisions you make concerning how your project best meets its objective. We need to consider how to best leverage Python's features to create clean, effective code. In practical terms, "structure" means making clean code whose logic and dependencies are clear as well as how the files and folders are organized in the filesystem. Which functions should go into which modules? How does data flow through the project? What features and functions can be grouped together and isolated? By answering questions like these you can begin to plan, in a broad sense, what your finished product will look like. In this section we take a closer look at Python's module and import systems as they are the central elements to enforcing structure in your project.
Introduction To Python Application areas of python Python implementations Python interpreter architecture Python byte code compiler Python virtual machine(pvm) Writing and Executing First Python Program Using interactive mode Using script mode General text editor and command window Idle editor and idle shell Understanding print() function How to compile python program explicitly Python Language Fundamentals Reading input from console Parsing string to int, float Python Conditional Statements If elif else statement Looping Statements Pass, break and continue keywords Standard Data Types Int, float, complex, bool, nonetype Str, list, tuple, range Dict, set, frozenset String Handling String representations String functions, methods String indexing and slicing Python List Creating and accessing lists Indexing and slicing lists Python Tuple Immutability of tuple Python Set Python Dictionary Creating a dictionary Accessing values from dictionary Iterating dictionary Dictionary comprehension Python Functions Function arguments Positional arguments, keyword arguments Default arguments, non-default arguments Arbitrary arguments, keyword arbitrary arguments Function return statement Function as argument Function as return statement Map(), filter(), reduce(), any() functions Anonymous or lambda function Modules & Packages Standard v/s third party modules Understanding pip utility File I/O Introduction to file handling Functions and methods related to file handling Understanding with block Object Oriented Programming Procedural v/s object oriented programming Defining a class & object creation Exception Handling Difference between syntax errors and exceptions Keywords used in exception handling try, except, finally, raise, assert Types of except blocks Regular Expressions(Regex) Need of regular expressions Functions /methods related to regex Meta characters & special sequences GUI Programming Introduction to tkinter programming Tkinter widgets Tk, label, Entry, Textbox, Button Frame, messagebox, filedialog etc Multi-Threading Programming Multi-processing v/s Multi-threading Creating child threads Functions /methods related to threads Thread synchronization and locking SQL Introduction to Database What is Database Package?