Today’s Free Udemy Courses are; Master Multithreading – Concurrency with Java Examples(19$ to Free), Python Bootcamp for Data Science 2021 Numpy Pandas & Seaborn(109$ to Free), Master in python programming language(Zero to hero)(44$ to Free), The Complete Automation PyTest Course for 2021(109$ to Free)
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Free Udemy Courses – 13 September 2021
Master Multithreading – Concurrency with Java Examples(19$ to Free)
From this course you can learn Multithreading with Java Examples.
There are a lot of other courses in this topic. So, why would you choose exactly this course? Here just a few reasons:
– Coding examples
To learn programming it is not enough just watching videos and reading books. You also need to have a lot of practice. In this training course you will review multiple practical tasks and coding examples which will help you learn and understand Java better.
– Open source code
We hide nothing from our students! Including the source code for the hometask solutions and source code of examples which were shared during the lesson. Having the source code you can just copy and paste it to run it on your local computer to understand how things work better.
You are allowed to use all source code examples for learning purposes. This helps significantly to configure environment and make tests work, especially in case student didn’t work with any testing framework in the past.
– Q&A support
The significant difference between online and offline learning process is instructor’s availability. If you are in the one room with tutor he always can help you to get understanding specific concept or to help fix your code on your computer.
In this course, we are supporting students with answers to any questions flagged in Q&A section. In case there will be recurring questions – separate video lessons will be created to show how to address issue.
So with this course you are not just getting video materials, code exercises, source code, access to free mobile application without limits (which is still pretty cool, huh? 🙂 ) , but you also get tutor support and answers to your questions along with this course.
– Relevant knowledge
After our team investigated other Java courses on Udemy we realized that most of them has nothing in common with real life. Information which is shared there is very old and significantly out of date. For example, instructor teaches framework which is not used already for 15 years. Or instructor do a stress on the programming design which is not used anymore at all!
Instructor of this course is consultant in the top-rated IT outsourcing company and helps to bring cutting-edge solutions in IT for all his clients. Feel free to check LinkedIn page of instructor and check skills endorsement. More than 19 thousand people acrooss all over the world (BTW most of them are from top 100 companies of the world) evaluated skills of Andrii Piatakha.
With this course you can be sure that you will spend your time learning the right things from the one of the best IT consultants in the world.
– Free mobile App without limits for our students
Knowing Java is one skill. Be able to pass interview in company – that is another skill 🙂 Nowadays a lot of companies use tests to select candidates on the first level of interview. We developed application to practice skills specifically for such purposes.
In this course we will provide you link to download our FREE mobile app for android. (soon it will be also available for iOS platforms)
Instructor of this course come up with hundreds tests which are used to test knowledge of candidates. With this application you will be well-prepared for the interview.
Also, only for our students – there is no limit on attempts to pass certification. In the course we will tell you how to set up special bonus code which will remove restrictions for our students inside the app.
– High concentration of useful material in each lesson
Sometimes you can notice that watching of 5 minutes of our lesson is equivalent to watching of other 30 minutes lesson.
This is because time spent for preparation of the each lesson (script for the lesson, lesson structure) and video editing (to cut boring pieces of the lesson, or time when program loads) sometimes 10 times as much (sometimes even 20) as final lesson duration after video editing.
Also each topic is separated from another. In case some concept will be explained in the next lesson and you don’t need to worry about understanding this in scope of this lesson – instructor will make announcement when specific topic will be covered.
Go and try it yourself! We will appreciate your feedback.
So don’t wait! Take a look at lessons’ preview if you still have doubts!
Buy this course today, and you will get all updates for FREE!
For those who successfully passed this training course, or for students who was recognized for asking amazing questions, there is a special offer from IT-Bulls company! The creator of this course is IT-Bulls company CEO and Founder. We always in search of talents to run our amazing startups together with you. Probably you always dreamed about running your own startup? In this course you will be able to find the team who will teach you how to do that and (in particular cases) will be glad to help with implementation!
Click for Free Master Multithreading – Concurrency with Java Examples Course
Python Bootcamp for Data Science 2021 Numpy Pandas & Seaborn(109$ to Free)
Data Scientist is one of the hottest jobs recently the United States and in Europe and it is a rewarding career with a high average salary.
The massive amount of data has revolutionized companies and those who have used these big data has an edge in competition. These companies need data scientist who are proficient at handling, managing, analyzing, and understanding trends in data.
This course is designed for both beginners with some programming experience or experienced developers looking to extend their knowledge in Data Science!
I have organized this course to be used as a video library for you so that you can use it in the future as a reference. Every lecture in this comprehensive course covers a single skill in data manipulation using Python libraries for data science.
In this comprehensive course, I will guide you to learn how to use the power of Python to manipulate, explore, and analyze data, and to create beautiful visualizations.
My course is equivalent to Data Science bootcamps that usually cost thousands of dollars. Here, I give you the opportunity to learn all that information at a fraction of the cost! With over 90 HD video lectures, including all examples presented in this course which are provided in detailed code notebooks for every lecture. This course is one of the most comprehensive course for using Python for data science on Udemy!
I will teach you how to use Python to manipulate and to explore raw datasets, how to use python libraries for data science such as Pandas, NumPy, Matplotlib, and Seaborn, how to use the most common data structures for data science in python, how to create amazing data visualizations, and most importantly how to prepare your datasets for advanced data analysis and machine learning models.
Here a few of the topics that you will be learning in this comprehensive course:
- How to Set Your Python Environment
- How to Work with Jupyter Notebooks
- Learning Data Structures and Sequences for Data Science In Python
- How to Create Functions in Python
- Mastering NumPy Arrays
- Mastering Pandas Dataframe and Series
- Learning Data Cleaning and Preprocessing
- Mastering Data Wrangling
- Learning Hierarchical Indexing
- Learning Combining and Merging Datasets
- Learning Reshaping and Pivoting DataFrames
- Mastering Data Visualizations with Matplotlib, Pandas and Seaborn
- Manipulating Time Series
- Practicing with Real World Data Analysis Example
Enroll in the course and start your path to becoming a data scientist today!
Click for Free Python Bootcamp for Data Science Course
Master in Python programming language(Zero to hero)(44$ to Free)
The Python language is EASY to learn, yet POWERFUL.
YouTube, Dropbox, Google, Instagram, Spotify, Reddit, Netflix, Pinterest – they are all developed using Python.
Learning Python opens up the possibilities of a whole new career in Data Science, Machine Learning, Artificial Intelligence etc.
The course is presented in an easy to follow format with slides and programs.
I put in my very BEST to make it as easy to understand as possible for EVERYONE !
In this course you will get to learn from the very basics of python to an advance level concepts of python with the help of several programs and some python projects. So this program is basically designed for the people who do not have any prior knowledge of any programming language and designed for the one’s who already have a programming background and want to switch there career towards the python programming language. This is a course which will help the people in interviews also because the small-small concepts where people lack in python , I have covered all those concepts in this course.
I have started form the very beginning that why you should learn python, why people prefer python , how to use environments etc. till the concepts of Object oriented programming language and at last covered three projects which will help you in building your logic and concept that how to make a project in python and how to build your logic towards python programming language.
The projects will be consisting of all the concepts which you have learned in tis python course and I will be telling you how to implement the python concepts for making some easy and wonderful projects. And you will also be learning about some libraries in python with the help of the python projects discussed in this course.
This course covers all the following concepts theoretically and practically:
- Environments used
- Process of programming
- Advantages of using python
- Types of operators
- Types of error
- User input
- Keywords and identifiers
- Datatypes and typecasting
- String and it’s functions
- Lists and it’s functions
- Tuples and it’s functions
- Dictionaries and it’s functions
- if else and elif condition
- for loop
- while loop
- functions and docstrings
- f-strings
- if __name__ == “__main__”(main function)
- File handling or I/O functions
- Classes and objects
- Inheritance
- Project 1: Make a quiz game
- Project 2: Making a guessing number game
- Project 3: Making an app of library management system for college
Click for Free Python programming language Course
The Complete Automation PyTest Course for 2021(109$ to Free)
In The Complete Automation PyTest Course for 2021 you will learn Pytest from scratch. You will go all the way through from complete python beginner to a professional automation test developer. Pytest incorporated many features that makes testing way easier and organized. You will be able to write automated tests, fixtures, built-in plugins and installable libraries.
Pytest is a Python based tool
The use of Python is increasing not only in software development, but also in areas such as data analysis, research, test and other fields. Python’s growth in many critical fields also comes with the desire for them to be placed correctly, effectively and efficiently, software testing is available to make sure that the programs function properly and provide accurate results. Additionally, more and more software projects involve continuous integration and include an automated testing phase as release cycles get shorter and manual in-depth testing of increasingly complex projects is simply impossible. Teams need to be able to trust testing from continuous integration servers to tell them if they can trust their software enough.
What is Pytest?
PyTest is a robust Python testing tool that is used in all levels of software testing. PyTest is a key component in the work of many software development teams, quality assurance teams, independent testing companies and from students on their university projects. Many platforms are now switching from the legacy unitest to Pytest to test their code. This is because Pytest offers powerful features such as rewrite validation, a third-party attachment model, and a powerful yet simple device adaptation this is unmatched in any other testing framework. Pytest is a software testing framework, which means that Pytest is a command line tool that automatically finds tests you’ve written, runs tests, and reports results. It has a library of extras that you can use in your tests to help you test more effectively. Can be extended to writing plug-ins or installing third-party plug-ins. Can be used to test Python distributions. And that integrates easily with other tools such as seamless integration and web automation .
PyTest stands out above many other test frameworks:
•Simple tests are simple to write in Pytest.
•Complex tests are still simple to write.
•Tests are easy to read.
•Easy to learn
