Complete PYTHON Programming for Beginners – 2024
On successful completion of the course, you will be able to program in the professional object-oriented programming (OOP) paradigm in Python, which allows you to start your programmer career. All professional Python programmers develop applications the OOP way. You, too, will be able to write complex, scalable programs in Python on completion of this course.
The course follows a practical approach where students learn by actively problem-solving towards the tangible goal of creating real-world Python programs. The course covers real-world Python programs that you will develop using the object-oriented programming (OOP) paradigm.
Apart from learning Python, in this course, students also learn to use all the necessary tools and techniques they need to become a professional Python programmer. These are software design principles, writing highly organized code, code planning, code refactoring, SQL databases, and more.
We designed this course for both absolute and non-absolute beginners. However, if you are an intermediate who knows Python well, you may still benefit from the course because it covers some advanced Python and programming concepts that you will hardly find anywhere else. Advanced concepts, such as abstract classes, class methods, composition, refactoring, etc., will be comprehensively covered and practiced in the course.
Do I need previous experience with other programming languages to take this course?
No. In fact, in this course, you will not merely learn Python syntax. You will understand Python from the inside-out from the computer science perspective so that you will have a deeper understanding of how programming works.
Explanation of Programming language paradigm
Introduction of Python
Explanation of Python script
About Python
Anaconda Framework
IDE and Debugging
Explanation of Variables
Python Datatypes
Python Literals
Explanation of order of operations
Python MATH module
Explanation of Number type conversions
Python String Operations
Datastructures in python
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24
Python String operations -
25
Special characters in strings
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26
String Indices in python
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27
Updating Strings in python
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28
String Formatting operator in Python
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29
Python Identifiers
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30
Structuring with Indentation in Python
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31
String Library in Python
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32
Max method in Python
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33
Split method in Python
Python Operators
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34
Data
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35
Datastructure
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36
Types of Datastructures
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37
Datastructures in python
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38
Lists in Python
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39
Lists Implementation in python
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40
Tuples in python
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41
Set in python
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42
Python Dictionaries
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43
Working with Python Lists
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44
Basic operations on Lists
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45
Accessing elements from Lists
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46
Pre-defined methods of Lists
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47
Python Enumerate method
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48
Working with Tuple
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49
Pre-defined methods of Tuple
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50
Built-in functions of Tuple
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51
Working with set
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52
Iterating sets using for loop
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53
Working with python Dictionaries
Working with Range function
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54
Operators in Python
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55
Arithmetic operators in python
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56
Comparison operators in python
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57
Assignment operators in Python
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58
Logical operators in python
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59
Special operators in python
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60
Python Bitwise and operator
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61
Python Bitwise or operator
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62
Python Bitwise XOR Operator
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63
Bitwise compliment operator
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64
Binary Left shift and Right shift operators
Functions in Python
OOPS IN Python
Working with Multi-threading
Working with Access specifiers
Python errors
