Learn Python From Scratch And Become A Python Programmer

Python is used around the world in several huge and vital systems, as well as thousands of successful business applications.

Python is an interpreted programming language that is dynamic, high-level, free, and open-source. It supports both procedural-oriented programming and object-based programming.

In this course, you will learn Python from a software developer. If you want to master Python and build effective, beautiful, and straightforward code, this is the course for you.

Learn Python From Scratch And Become A Python Programmer Course Overview

This course covers a wide range of concepts that help you master Python starting from the basics and getting a good grip on advanced concepts by the end.

Topics Covered in This Course [With Detailed Explanation] :

01 - Introduction
02 - Installation of Python Shell & PyCharm
03 - Basics of Python Programming
04 - Datatypes
05 - Int, Float & Boolean
06 - Operators
07 - List
08 - Tuple
09 - Set
10 - Dict
11 - Control Flow
12 - Function
13 - Other Methods
14 - Files
15 - Exceptions
16 - OOP
17 - Sys, OS & Platform
18 - Datetime, Relative Delta
19 - Random
20 - Regular Expressions

Python Built-In Database - SQLite:

01. Introduction
02. Create a Connection to the Database
03. Create Table
04. Insert Query
05. Select Query

Bonus Lectures :

01 - How to Work with Excel in Python.
02 - How to Upload Python Project on GitHub
03 - How to Download YouTube Video in Python
04 - How to Draw Graphs in Python
05 - Emotion Detector in Python

Python Prominent Features:

1. Easy to code:
Python is a high-level programming language. Compared to other languages like C, C#, Javascript, etc., Python is fairly simple to learn. It is a very user-friendly programming language, and anyone can learn the fundamentals of it in a matter of hours or days. The language is also user-friendly for developers.

2. Free and Open Source:
The Python official website provides Python language for free download. Since it is open-source, the public has access to the source code as well. As a result, you are able to download, use, and share it.

3. Object-Oriented Language:
Object-oriented programming is one of Python's core characteristics. Python supports notions like classes, object encapsulation, and object-oriented language.

4. GUI Programming Support:
You can create graphical user interfaces in Python by using a module like PyQt5, PyQt4, wxPython, or Tk.
PyQt5 is the most popular option for creating graphical apps with Python.

5. High-Level Language:
Python is a high-level language that eliminates the need to manage memory or to keep track of the system architecture when writing programs.

6. Extensible feature:
The language Python is extensible. We can translate some Python code into C or C++ and then compile that code using C/C++.

7. Python is a Portable language:
The Python programming language is also portable. For instance, if we already have Python code written for Windows and wish to execute it on Linux, Unix, or Mac, we can do so without making any changes to the code.

8. Python is an Integrated language:
Python can be easily combined with other languages like C, C++, and others, making it an integrated language.

9. Interpreted Language:
Because Python code runs one line at a time, it is called an interpreter language. Python code does not require compilation, unlike other languages like C, C++, Java, etc., making it simpler to debug our programs. Python's source code is transformed into bytecode, which is an instant format.

10. Large Standard Library:
Python has a sizable standard library that offers a wealth of modules and functions, allowing you to avoid having to write custom code for each and every task. Python has a large number of libraries for things like regular expressions, unit testing, web browsers, etc.

11. Dynamically Typed Language:
Python is a language with dynamic typing. This feature eliminates the need for us to define the type of a variable because it determines the type (for instance, int, double, long, etc.) at run time rather than beforehand.

Why to Learn Python?

1) Applications of Python:

• GUI-based desktop applications
• Image processing and graphic design applications
• Scientific and computational applications
• Games
• Web frameworks and web applications
• Enterprise and business applications
• Operating systems
• Language development
• Prototyping

2) Advantages/Benefits of Python :

• Existence of Third-Party Modules: Python is able to communicate with the majority of other languages and systems because of the presence of several third-party modules in the Python Package Index (PyPI).

• Large Support Libraries: Python has a sizable standard library that covers topics like operating system interfaces, string operations, web services tools, and internet protocols. The standard library has already scripted many high-use programming operations, which considerably minimizes the amount of code that needs to be created.

• Open Source and Community Development: The Python programming language is created under an open-source license that has received OSI approval, making it available for free use and distribution—including for commercial endeavors. Additionally, the community works on its code by organizing conferences and mailing groups and providing for its many modules, which in turn drives its development.

• Python's great readability and uncomplicated, simple-to-learn syntax make it easy for newcomers to learn how to use this programming language. PEP 8's code style standards offer a set of recommendations to help with code formatting. The large user base and active developer community have also produced a wealth of online resources to support further development and language adoption.

• Data structures that are easy to use: Python comes with a built-in list and dictionary data structures that can be used to create quick runtime data structures. Moreover, Python offers the choice of dynamic high-level data type, which minimizes the amount of support code required.

• Productivity and Speed: Python has a clear object-oriented design, improved process management, robust integration, text processing, and its own unit testing framework, all of which increase its speed and productivity. Python is regarded as a practical choice for creating intricate multi-protocol network systems.