Python Programming - Multithreading, OOP, NumPy and Pandas from Udemy

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 in Python

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.

What's inside

Learning objectives

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

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

Syllabus

Introduction

Why Python is a good start?

Why to learn Python?

Environment Setup

Installing Python

Installing PyCharm

### PYTHON FUNDAMENTALS ###

Python fundamentals

Python Basics

First steps in Python

What are the basic data types?

Booleans

Strings

String slicing

Type casting

Operators

Conditional statements

How to use multiple conditions?

Exercise - conditional statements

Solution - conditional statements

Logical operators

Loops - for loop

Loops - while loop

Exercise: calculating the average

Solution: calculating the average

What are nested loops?

Enumerate

Break and continue

Calculating Fibonacci-numbers

Exercise: Fibonacci-numbers

Solution: Fibonacci-numbers

Python Basics Quiz

Functions in Python

What are functions?

Defining functions

Positional arguments and keyword arguments

Returning values

Returning multiple values

Functions coding exercise

Solution - functions

Yield operator

Local and global variables

What are the most relevant built-in functions?

What is recursion?

Recursion coding exercise

Solution - recursion

Local vs global variables

The __main__ function

Functions Quiz

Data Structures in Python

How to measure the running time of algorithms?

Data structures introduction

What are array data structures?

What are lists in Python?

Arrays introduction - operations

Lists in Python

Lists in Python - advanced operations

Lists in Python - list comprehension

(!!!) Python lists and arrays

Exercise: list comprehension

Solution - list comprehension

Measuring running time of lists

What are tuples?

Mutability and immutability

What are linked list data structures?

Doubly linked list implementation in Python

Hashing and O(1) running time complexity

Dictionaries in Python

Sets in Python

Exercise: constructing dictionaries

Solution: constructing dictionaries

Sorting

Data Structures Quiz

Object Oriented Programming (OOP)

What is object oriented programming (OOP)?

Class and objects basics

Using the constructor

Class variables and instance variables

Exercise: constructing classes

Solution: constructing classes

Private variables and name mangling

What is inheritance in OOP?

The super keyword

Function (method) override

What is polymorphism?

Polymorphism and abstraction example

Exercise: abstraction

Solution: abstraction

Modules

The __str__ function

Comparing objects - overriding functions

Object Oriented Programming Quiz

Memory Management

What are stack and heap memory?

Stack memory and heap memory simulation

Garbage collection and reference counting

Revisiting the types of variables

The == and the is operators

Call by reference and value

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Covers basics of Python, building a foundation for beginners

Covers functions, data structures, and object-oriented programming, developing core Python skills

Taught by a recognized instructor

Explores memory management in Python, delving into technical implementation

Covers libraries such as NumPy, Matplotlib, and Pandas, enhancing data analysis and visualization skills

Delves into multithreading, concurrent programming, and parallel programming, providing a comprehensive understanding of concurrency

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Python Programming - Multithreading, OOP, NumPy and Pandas with these activities:

Read 'Automate the Boring Stuff with Python'

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Supplement your Python learning by reading this beginner-friendly book that provides practical examples and guidance on automating tasks and enhancing productivity with Python.

View Automate the Boring Stuff with Python, 2nd... on Amazon

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Read the book's introductory chapters to gain a foundation in Python basics.
Follow along with the book's exercises to practice writing Python code.
Apply the techniques and concepts learned in the book to your own projects.

Review Python syntax

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Strengthen your foundation by reviewing Python's basic syntax, ensuring a solid understanding of its structure and conventions before delving into more advanced concepts.

Browse courses on Python Syntax

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Go through Python tutorials or documentation to refresh your memory on data types, variables, and operators.
Practice writing simple Python expressions and statements.

Follow a tutorial on Python data structures

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Explore different data structures available in Python and their applications through guided tutorials, enhancing your understanding of data organization and manipulation.

Browse courses on Data Structures

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Go through a tutorial on Python lists and their operations.
Learn about tuples and their immutability through a guided example.
Understand dictionaries and their key-value pairs using a tutorial.

Four other activities

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Practice Python functions

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Practice writing and calling functions to strengthen your understanding of their functionality and improve your coding skills.

Browse courses on Functions

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Create a function to calculate the area of a circle.
Define a function to check if a number is prime.
Implement a function to reverse a string.
Write a recursive function to find the factorial of a number.
Create a function to sort a list of numbers in ascending order.

Join a Python coding study group

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Engage with peers in a collaborative setting, discuss Python concepts, work on problems together, and provide mutual support, fostering a deeper understanding of the subject matter.

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Find or create a study group with fellow Python learners.
Set regular meeting times and establish clear goals for each session.
Take turns presenting topics, solving coding challenges, and providing constructive feedback.

Develop a Python script to automate a task

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Enhance your Python proficiency by creating a script that automates a repetitive task, demonstrating your ability to apply Python to solve practical problems and improve efficiency.

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Identify a suitable task to automate (e.g., data extraction, file manipulation).
Design and implement the script using Python functions and modules.
Test and debug the script to ensure its accuracy and efficiency.

Build a simple Python game

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Challenge yourself by creating a Python game, putting your skills to the test and exploring advanced concepts such as object-oriented programming and event handling.

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Design the game's concept, rules, and user interface.
Implement the game logic using Python classes and functions.
Handle user input and respond appropriately within the game.
Test and refine the game to ensure a smooth and engaging experience.

Career center

Learners who complete Python Programming - Multithreading, OOP, NumPy and Pandas will develop knowledge and skills that may be useful to these careers:

Machine Learning Engineer

Machine Learning Engineers design and implement machine learning models. They use these models to solve complex business problems and make predictions based on data. Python is one of the most popular languages for machine learning, and this course will give you a solid foundation in the language. You'll also learn about NumPy and Pandas, which are essential libraries for data manipulation and analysis in machine learning.

See salaries and explore the career path for Machine Learning Engineer

Data Scientist

Data Scientists use data to solve business problems. They analyze data, build models, and make predictions. Python is a popular language for data science, and this course will give you a solid foundation in the language. You'll also learn about NumPy and Pandas, which are essential libraries for data manipulation and analysis. This course will help you build the skills you need to succeed as a Data Scientist.

See salaries and explore the career path for Data Scientist

Data Engineer

A Data Engineer is responsible for building and maintaining the infrastructure that supports data analytics. They design, construct, and manage data pipelines to ensure that data is available for analysis. This course covers the fundamentals of Python, which is essential for working with data. It also teaches you about data structures, memory management, and parallel programming. These concepts are crucial for building efficient and scalable data pipelines.

See salaries and explore the career path for Data Engineer

Data Analyst

A Data Analyst organizes and interprets large amounts of data. They turn raw data into valuable insights which can be implemented into business practices. If you aspire to become a Data Analyst, it is important to have a solid foundation in programming languages such as Python. This course introduces the basics of Python and covers essential topics like data structures, object-oriented programming, and data manipulation using NumPy and Pandas. Mastering these concepts will equip you with the necessary skills to succeed in this field.

See salaries and explore the career path for Data Analyst

Web Developer

Web Developers design and develop websites and web applications. Python is a popular language for web development, and this course will teach you the basics of the language. You'll also learn about Django, a popular Python web framework. This course will help you build a foundation in Python and web development, which are essential skills for success in this field.

See salaries and explore the career path for Web Developer

Software Engineer

Software Engineers design, develop, and maintain software applications. Python is a popular language for web development, data science, and machine learning. This course covers the fundamentals of Python, including data structures, object-oriented programming, and multithreading. These concepts are essential for building robust and scalable software applications.

See salaries and explore the career path for Software Engineer

Computer Programmer

Computer Programmers write and maintain computer code. They translate business needs into technical solutions. Python is a popular language for programming, and this course will teach you the basics of the language. You'll also learn about programming techniques and how to use Python to build software applications. This course will help you develop the skills you need to succeed as a Computer Programmer.

See salaries and explore the career path for Computer Programmer

Quantitative Analyst

Quantitative Analysts use mathematics and statistics to analyze financial data and make investment decisions. Python is a popular language for quantitative analysis, and this course will teach you the basics of the language. You'll also learn about financial data analysis techniques and how to use Python to build financial models. This course will help you develop the skills you need to succeed as a Quantitative Analyst.

See salaries and explore the career path for Quantitative Analyst

Business Analyst

Business Analysts use data to help businesses make better decisions. They analyze data, identify trends, and develop recommendations. Python is a valuable tool for Business Analysts, and this course will teach you the basics of the language. You'll also learn about data analysis techniques and how to use Python to visualize data. This course will help you develop the skills you need to succeed as a Business Analyst.

See salaries and explore the career path for Business Analyst

Software Tester

Software Testers test software applications to ensure that they meet requirements. They find and report bugs. Python is a popular language for software testing, and this course will teach you the basics of the language. You'll also learn about software testing techniques and how to use Python to automate tests. This course will help you develop the skills you need to succeed as a Software Tester.

See salaries and explore the career path for Software Tester

Statistician

Statisticians use data to solve problems and make decisions. They collect, analyze, and interpret data. Python is a popular language for statistics, and this course will teach you the basics of the language. You'll also learn about statistical data analysis techniques and how to use Python to visualize data. This course will help you develop the skills you need to succeed as a Statistician.

See salaries and explore the career path for Statistician

Database Administrator

Database Administrators maintain and manage databases. They ensure that databases are running smoothly and that data is secure. Python is a popular language for database administration, and this course will teach you the basics of the language. You'll also learn about database management techniques and how to use Python to administer databases. This course will help you develop the skills you need to succeed as a Database Administrator.

See salaries and explore the career path for Database Administrator

Financial Analyst

Financial Analysts use data to analyze financial markets and make investment recommendations. Python is a popular language for financial analysis, and this course will teach you the basics of the language. You'll also learn about financial data analysis techniques and how to use Python to build financial models. This course will help you develop the skills you need to succeed as a Financial Analyst.

See salaries and explore the career path for Financial Analyst

Actuary

Actuaries use mathematics and statistics to assess risk and uncertainty. They work in a variety of industries, including insurance, finance, and healthcare. Python is a popular language for actuarial science, and this course will teach you the basics of the language. You'll also learn about actuarial science techniques and how to use Python to build actuarial models. This course will help you develop the skills you need to succeed as an Actuary.

See salaries and explore the career path for Actuary

Project Manager

Project Managers plan and execute projects. They ensure that projects are completed on time, within budget, and to the required quality. Python is a popular language for project management, and this course will teach you the basics of the language. You'll also learn about project management techniques and how to use Python to manage projects. This course may help you develop the skills you need to succeed as a Project Manager.

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