What You Will Learn!
- To understand why Python is a useful scripting language for developers.
- To learn how to design and program Python applications.
- To learn how to use lists, tuples, and dictionaries in Python programs.
- To learn how to use indexing and slicing to access data in Python programs
- To define the structure and components of a Python program
- To learn how to write loops and decision statements in Python.
- To learn how to build and package Python modules for reusability.
- To learn how to design object‐oriented programs with Python classes.
- To learn how to use exception handling in Python applications for error handling.
- CNN ,ANN,LTSM,RNN
- Machine learning
Description
Python has rapidly become one of the most popular programming languages around the world. Compared to other languages such as Java or C++, Python consistently outranks and outperforms these languages in demand from businesses and job availability. The average Python developer makes over $100,000 - this number is only going to grow in the coming years.
The best part? Python is one of the easiest coding languages to learn right now. It doesn’t matter if you have no programming experience or are unfamiliar with the syntax of Python. By the time you finish this course, you'll be an absolute pro at programming!
This course will cover all the basics and several advanced concepts of Python. We’ll go over:
The fundamentals of Python programming
Writing and Reading to Files
Automation of Word and Excel Files
Web scraping with BeautifulSoup4
Browser automation with Selenium
Data Analysis and Visualization with MatPlotLib
Regex parsing and Task Management
GUI and Gaming with Tkinter
And much more!
You'll get a full understanding of how to program with Python and how to use it in conjunction with scientific computing modules and libraries to analyze data.
You will also get lifetime access to over 100 example python code notebooks, new and updated videos, as well as future additions of various data analysis projects that you can use for a portfolio to show future employers!
By the end of this course you will:
- Have an understanding of how to program in Python.
- Know how to create and manipulate arrays using numpy and Python.
- Know how to use pandas to create and analyze data sets.
- Know how to use matplotlib and seaborn libraries to create beautiful data visualization.
- Have an amazing portfolio of example python data analysis projects!
- Have an understanding of Machine Learning and SciKit Learn!
Who Should Attend!
- Beginner python developers
