Master python by learning concepts , doing programs and making wonderful python projects including apps and games
☑ Advance python skills
☑ Writing out programs in an easy way using classes and objects
☑ Learn about how you can make directories in python
☑ Learn about the threads in python programming
☑ Learn about threading module in python
☑ Get hands-on writing the python programs
☑ Practice all the advance topics by writing programs
☑ Learn how to work with json files and API’s with the help of a project
Why learn Python
According to recent surveys, Python is one the most popular programming languages in the world. It is used by tech giants like Google, Amazon, Instagram, Facebook and many more.
Knowledge of Python is an important prerequisite for working in emerging fields such as Data science, Machine Learning and Artificial Intelligence. Python programmers are paid high salaries in the software industry and there is an ever increasing demand for Python professionals in the industry.
The reason for Python’s popularity is that it is powerful, yet very simple. If you have never programmed before then Python is the best language to start your journey of programming. The code written in Python is shorter than equivalent code written in other languages. Developers love this language and this increases the speed of development which is one of the main reasons why companies prefer Python.
Why take this course
This Master in advance python course is an efficient and detailed course that teaches you Python in depth without wasting much time. The content of the course is very concise, to the point and straightforward.
You will get the opportunity to practice Python programming concepts. The basics of python programming language is required for completely understanding this course.
You can clear your doubts in the question and answer forum inside the course.
This Master in advance python course explains the Python features in step-wise manner. All the topics have been explained with Python programs in simple way. You will also see the demonstration of source code implementation for each topic with good examples and programs. This course will build Python programming/scripting skills of developers who have basic understanding of programming. You will be able to understand and implement all the Python programming techniques and apply in Python projects/code. This tutorial will also help you to present yourself well for Python coding interview questions.
Course will be updated by adding new topics in detail to have good understanding of Python programming features to build the technical strength and shape your career.
This Master in advance python online course on udemy will be great help to developers to have good Python programming skills and work on Python projects. Also it will be a good complement to any book/tutorial.
Topics covered in this course :
- Introduction to Object oriented programming
- Class variables
- Self and init constructors
- Methods and variables
- Setter and getter
- Duck typing
- Python projects
This is are the module names which I have listed and some important topics. Many of these have sub modules even to cover out.
See you in the course !!.
Introduction to Object oriented programming
Self and init (constructors)
methods and variables
public, private and protected variables
method overloading and overriding
Setter and getter methods
Typings in python
Map reduce and filter functions
Modules in python
Threads in python
Threads and Threading schedule
Create a thread using classes and objects
Create threads usimg function
Create threads using functions, classes and objects
Create threads using functions and main function
Multithreading using threads Part 01
Multithreading using threads Part 02
Thread synchronization using lock
Thread synchronization using Rlock
Thread using queue
Semaphore in threads
Bounded Semaphore in threads
Inter thread communication using event method
Inter thread communication using condition method
Inter thread communication using queue method
Daemon and non-daemon threads
Example of how daemon threads behave over non daemon threads
Three methods for setting daemon threads
pickling in python
unpickling in python
pickling exceptions, pros and cons
Directory in python
mode in the directory