What you'll learn:
- Get a fundamental understanding of the Python programming language.
- Acquire the background and skills of Python to apply for Python programming jobs
- Understand the memory management of Python
- Understand NumPy and Pandas
- Understand Matplotlib
- Get a good grasp on multithreading, concurrent programming and parallel programming
- Can move to more advanced topics such as algorithms or machine learning
- Understand databases and database management with Python
Join us and become a Python Programmer, learn one of most requested skills of 2022!
This course is about the fundamental basics of Python programming language. Whether you have never programmed before, already know basic syntax, or want to learn about the advanced features of Python, this course is for you! You can learn about the hardest topics in programming: memory management, multithreading and object-oriented programming. So these are the topics you will learn about:
1.) Basics of Python
installing Python and the integrated development environment (IDE)
basic operations
conditional statements
loops
2.) Functions
what are functions in Python
positional and keyword arguments
return and yield
recursion
3.) Data Structures
how to measure the performance of data structures?
data structures introduction
lists
tuples
dictionaries and sets
4.) Object-Oriented Programing (OOP)
what is the advantages and disadvantages of OOP?
classes and objects
constructors
inheritance
polymorphism
5.) Memory Management
stack memory and heap memory
memory management in Python
6.) Handling Files (I/O)
read files and write files
7.)Exceptions
exceptions and errors
how to deal with exception
try-except-finally blocks
8.) Multithreading and Concurrent Programming
what are threads and processes?
synchronization
locks
deadlocks and livelocks
inter-thread communication
9.) Parallel Programming
multithreading and parallel programming
what is the Global Interpreter Lock (GIL)?
10.) Lambda Expressions
what is functional programming?
why to learn lambda expressions?
anonymous functions
filter
map
reduce
11.) NumPy
real array data structures in Python
lists and arrays comparison
NumPy fundamentals
12.) Matplotlib
how to create plots in Python
charts, line charts and scatter plots
13.) Pandas
why do we need Pandas in data sciences?
Series
DataFrames
apply function (in comparison with loops)
vectorization
14.) Database Management inPython
what are databases and why do we need them?
MySQL and SQL
SQL statements in Python
You will get lifetime access to 110+ lectures plus slides and source codes for the lectures!
This course comes with a 30 day money back guarantee! If you are not satisfied in any way, you'll get your money back.
So what are you waiting for? Learn Python in a way that will advance your career and increase your knowledge, all in a fun and practical way!
