Remote Hacking Python Expert with Python 2.x and 3.x

You're here because you're ready to learn how to create python programs using python 2.x and python 3.x which is the latest version of python language. This course is all about python programming and you will learn how to program in python by developing applications in it.

The instructor is a guru who works for cops and has been helping cops for forensics investigation and ethical hacking. Instructor has invested more than 5 years to learn these skills.

I'm here because I'm the answer to all your questions. I would love to share my secrets and knowledge with you and help you guys to setup an environment for your application development studio.

Welcome to OneLit Certified Remote Hacking Python Expert

• Penetration Testing and Hacking

We will learn how to hack into computers and developing tools for remote exploitation.

• Hacking Tools

We will be developing some complex remote hacking tools and remotely exploit things.

• Certification!

OneLit Certifications are recognized world wide and once you have completed the course, you will be given a certification called 'OLCRHPE' i.e. OneLit Certified Remote Hacking Python Expert

• We’ve left no stone unturned. 

I guarantee, this is THE most thorough, laser-focused and up-to-date course available ANYWHERE on the market - or your money back. There are zero courses available on the internet on Python Programming which are so deep and from basics i.e. from installing python. The instructor of the course is a guru who has developed python tools and applications to hack into systems (which are available in an advance course)

• Both Versions - 2.x .x and 3.x.x

  Python has changed a lot and python 2 is usually used in older products. This course teaches both version of python i.e. python 2 and python 3 which is the latest version. So students can work on older products and newer products that are based on python 3 thus covering every thing in python.

• Learning Python - But I Don't Know Programming

  Don't worry, we have done everything for you, we will teach python in first few section and then start developing tools for it.

Here are 6 reasons why python is used and why you are right.

1. Python Has a Healthy, Active and Supportive Community   - For obvious reasons, programming languages that lack documentation and developer support just don’t fare well. Python has neither of those problems. It’s been around for quite some time, so there’s plenty of documentation, guides, tutorials and more. Plus, the developer community is incredibly active. That means any time someone needs help or support, they can get it in a timely manner. 

2. Python Has Some Great Corporate Sponsors  - It helps big time when a programming language has a corporate sponsor. C# has Microsoft, Java had Sun and PHP is used by Facebook. Google adopted Python heavily back in 2006, and they’ve used it for many platforms and applications since. 

3. Python Has Big Data  - The use of big data and cloud computing solutions in the enterprise world has also helped skyrocket Python to success. It is one of the most popular languages used in data science, second only to R. It’s also being used for machine learning and AI systems and various modern technologies. 

4. Python Has Amazing Libraries  - When you’re working on bigger projects, libraries can really help you save time and cut down on the initial development cycle. Python has an excellent selection of libraries, from NumPy and SciPy for scientific computing to Django for web development. 

5. Python Is Reliable and Efficient  - Ask any Python developer — or anyone that’s ever used the language — and they’ll agree it’s speedy, reliable and efficient. You can work with and deploy Python applications in nearly any environment, and there’s little to no performance loss no matter what platform you work with. 

6. Python Is Accessible  - For newcomers and beginners, Python is incredibly easy to learn and use. In fact, it’s one of the most accessible programming languages available. Part of the reason is the simplified syntax with an emphasis on natural language. But it’s also because you can write Python code and execute it much faster.