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Python for Beginners – Basics to Advanced

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Description

Python is an interpreted, object-oriented, high-level programming language. It is an open source programming language with more than 1 million libraries and more than 100,000 active contributors. Python is also known for its simplicity as compared to other programming languages. Be it Artificial Intelligence or Web Development or IoT or Big Data Analysis or Cloud Application Development or Automation domain you can find n number of use cases for Python.

In this course, we will start with Python Installation and few basics of Python. Along the journey, we will discuss all the python data types and built-in methods in depth. We will discuss User-defined functions, different parameter passing techniques and object oriented programming concepts in Python. Further, we will discuss the must know concepts for python programmers like list comprehension, map function, filter Function, generators, iterators and itertools. We will also cover web scraping using beautifulSoup, multi threading and database access.

Once you reach here you can start the new journey to learn domain-specific python libraries like NumPy, Pandas, Matplotlib, Scikit-learn, tensorflow, keras for machine learning. Django, flask for web development. pySpark for big data processing and many more…

What Will I Learn?

Introduction to Python and Python 3
Understand the basics: Data types, Loops, Conditional statements, Functions and Modules
Learn object oriented programming in Python
Know how to Read and Parse JSON and XML files
Learn how to make your own web-scraping tool using Python

Topics for this course

41 Lessons

Section 1: Introduction & Basics

1. Why Python ?2:09

2. How to install Python and Sublime text6:47

3. Variable Declaration and Memory Allocation00

4. Builtin Python Datatypes13:43

5. Python Operators21:22

Section 2: Conditional Statements and Loops

Section 3: Python Data Types – String, Lists, Tuple, Dictionaries

Section 4: Python Functions

Section 5: Python Modules and Packages

Section 6: Functional Programming

Section 7: File Operation | JSON, XML Parsing

Section 8: Object Oriented Programming

Section 9: Web Scraping and Database handling using Python

Section 10: Python Decorators

About the instructors

Jerad Hill

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41 Courses

9 students

Python for Beginners – Basics to Advanced

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Description

What Will I Learn?

Topics for this course

Section 1: Introduction & Basics

1. Why Python ?2:09

2. How to install Python and Sublime text6:47

3. Variable Declaration and Memory Allocation00

4. Builtin Python Datatypes13:43

5. Python Operators21:22

Section 2: Conditional Statements and Loops

6. Conditional Statements | if, elif, else8:57

7. Iterating using For loop | Syntax12:15

8. Iterating using For loop | Continue | Break | enumerate12:17

9. Iterating using While Loop | Syntax3:43

10. Python Assignment – 1 | Conditional and Looping Statements3:17

Section 3: Python Data Types – String, Lists, Tuple, Dictionaries

11. Str Data Type | Indexing | Slicing | Striding – Closer look at python data types13:08

12. Str Data Type | Built-in functions – Closer look at python data types24:04

13. List Data Type | Indexing | Slicing | Append – Extend – Insert – Closer look at13:36

14. List Data Type | Update and Delete Operations – Closer look at python data types8:35

15. Tuple Data Type – Closer look at python data types6:15

16. Dictionary Data Type | Storing and Accessing the data in dictionaries14:32

17. Dictionary Data Type | Update and Delete Operations6:11

18. Set Data Type | Add – Update – Delete operations16:01

19. Working with Math and Random Modules | Math functions | Random Number Generator13:59

Section 4: Python Functions

20. Getting Started with User Defined Functions8:44

21. Parameter Passing Techniques | Positional – Default – Keyword Parameters18:31

22. Parameter Passing Techniques | Variable Length Positional and Keyword Parameters8:18

23. Writing Recursive Functions15:19

Section 5: Python Modules and Packages

24. Creating Modules and Packages8:30

25. Introduction to RE Module | Regx Meta-characters14:11

26. RE Module | Groups11:48

Section 6: Functional Programming

27. List Comprehension – Dict Comprehension14:34

28. Functional Programming | Map – Filter – Lambda13:31

29. Function Iterators | Generator functions10:26

30. Iterators and Itertools13:38

Section 7: File Operation | JSON, XML Parsing

31. Getting started with file operations9:27

32. File Operations | Read – Write – Append18:33

33. Parsing JSON files using Python10:28

34. Parsing XML files using xmltodict5:45

Section 8: Object Oriented Programming

35. Introduction to Object Oriented Programming21:15

36. Object Oriented Programming – Class Method and Static Method12:19

37. Object Oriented Programming – Inheritance14:42

Section 9: Web Scraping and Database handling using Python

38. Web Scraping using BeautifulSoup16:45

39. Executing Database Queries Using Python | sqlite3 Module10:27

Section 10: Python Decorators

40. Python Decorators7:07

41. Python Quiz5:02

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