Conquer Python Programming in 21 Days: Your Path to Expertise !

Abstract:

Python is a general-purpose programming language that's used for a variety of tasks, including: Building websites and software, Automating tasks, Conducting data analysis, and Machine learning. 

Here are some things to know about Python:

Features

Python is an object-oriented language that makes programs efficient and easy to understand. It also includes data abstraction to secure data and polymorphism to add flexibility. 

Data structures

Python is a good language for learning data structures, such as lists and tuples. 

Operators

Python uses special symbols or keywords called operators to perform operations on variables and values. 

Formatting

Python code must be properly formatted. For example, code blocks start with a colon and end with a new line. 

Installation

You can install Python on your device and run it using the command line or a Python coding environment. Some options include Visual Studio Code, Notepad++, or Python-specific environments. 

Popularity

Python is a popular language for children to learn first. It's also used by software engineers, analysts, data scientists, and machine learning engineers. 

You can master Python Programming in 21 days. 

Overview:

At present, Python is one of the most versatile and demanded programming languages in the IT world. Statistically, there are around 8-9 Million Python developers across the world and the number is increasing rapidly.

Meanwhile, the average salary of an Entry-Level Python Developer in India is around 4-6 LPA , and its rich features such as easier syntax , dynamic type , etc. make it the most recommended programming language for beginners. Moreover, there are numerous cutting-edge technologies such as Artificial Intelligence , Machine Learning , Big Data , etc. that heavily rely upon Python. Indeed, if you start to learn Python by following the right approaches, the language has a lot more to offer you to build a successful career!!

How-to-Learn-Python-in-21-Days

Before moving further, let’s have a brief introduction to Python Language. Python, designed by Guido Van Rossum in 1991, is a general-purpose programming language . The language is widely used in Web Development , Data Science , Machine Learning , and various other trending domains in the tech world. Moreover, Python supports multiple programming paradigms and has a huge set of libraries and tools. Also, the language offers various other key features such as better code readability , vast community support , fewer lines of code , and many more. Here in this article, we’ll discuss a thorough curriculum or roadmap that you need to follow to learn Python in just 21 days!

Roadmap to Learn Python in 21 Days

Python is one of the top learning programming languages for the past few years in a row. It is object-oriented, interpreted, and high level too. Due to its easy syntax, and readability, beginners prefer this language a lot. And once you become comfortable with the syntax, then you can move on to its applications like web development, Data Science, and machine learning. But before starting blindly, you should know How to learn Python? and for that, you can follow the below 21-day Roadmap.

Along with this try our Python course with certificate to speed up your 21 Python learning challenge.

1. Understand the Basics 

(Day: 1)

This is the first and foremost task you need to learn Python is – To understand the nature & basics of Python Language ! You’re required to go through the deep introduction , features & applications of the language. Meanwhile, you’re also required to know about the installation process & setting up the path to run Python Programs. You are also recommended to create your first basic Python Program that will help you to get familiar with the syntax & execution process of the Python Program. Moreover, you can explore some Integrated Development Environments (IDEs) also such as Pycharm, Jupyter, and various others.

Introduction to Python Language

Python Features and Applications

How to Install Python?

Hello World Program in Python

Integrated Development Environments (IDEs) for Python

2. Learn Python DataTypes, Variables & Operators

 (Day: 2-3)

Now, you need to take a step forward and know about the foundational elements of Python Language – Variables, Datatypes & Operators . Although when it comes to learning Python Variables, you don’t need to declare variables before using them as Python is a Dynamically-Typed Programming Language . Moreover, you’re required to go through various built-in Datatypes in Python such as Numeric , Boolean , Sequence Type , etc. Also, you can explore Operators in Python and can practice a few basic programs as well on these topics for more clarification of the concepts.

Data Types 

Variables in Python

Global and Local Variables in Python

Operators in Python

Operator Overloading in Python

Python Programming Examples for Practice

3. Learn Conditional & Flow Control Statements in Python (Day: 4-5)

After going through the Python Fundamentals, Variables, Operators, etc., now you need to learn Python’s conditionals and control flow statements in Python Programming. The Python Program Flow Control is concerned with various topics such as For Loop , While Loop , Do-While Loop , etc. Meanwhile, Conditional Statements are concerned with several concepts such as If , If- else , Nested if-else , etc. You’re required to cover these topics in-depth and also recommended to solve several programming questions relevant to these topics. Several other topics such as Control Statements like Break , Continue , Pass , etc. can also be taken into consideration while learning Python.

Decision-Making Statements in Python

Loops in Python

Looping Techniques in Python

Control Statements in Python

Chaining Comparison in Python

4. Understand String, List & Dictionary Manipulations in Python (Day: 6-7)

Once you’ll get done with the above-mentioned topics, now to learn Python you’re required to understand the String, List & Dictionary Manipulations in Python Language. In general, the Dictionary in Python is an unordered collection of items where each item holds a key/value pair. Moreover, a String in Python is an array of bytes representing Unicode characters, and a List in Python represents a mutable data structure that concerns an ordered sequence of elements. Also, you’re recommended to go through several other topics as well such as Tuple , Sets , etc.

Python Arrays

Python Dictionary

Python String

|

Python Lists

Byte Objects vs String in Python

Python Setsb|

Python Tuples

5. Get Familiar With Python Functions & Modules 

(Day: 8-10)

Furthermore, you need to understand one of the most crucial parts of Python Programming – Functions & Modules in Python . You’re required to learn various aspects of Python Functions such as types of functions, how to write & call a function, functions with arguments, etc. Moreover, you’re also required to learn about Module in Python which is a file that contains Python definitions and statements. Also, you need to know about several other topics such as Python Closures , Packages , Lambda functions , and various others.

Functions in Python

Function with arguments

Lambda Functions

Python Modules

|

Python Package

Python Closures

6. Go through Python File Operations 

(Day: 11-12)

Now, it’s time to dive deeper into the world of Python Programming and understand File Handling and File Operations in Python . Indeed, Python supports file handling and allows you to handle files with various file handling options. You need to learn about various operations such as how to Read & Write files , Opening & Closing files , Reading between the lines , etc. To learn Python fully, you’re required to go through various respective functions such as open() , split() , append() , and many more. You can go through with several additional topics as well such as Python seek function, etc.

Basics of File Handling in Python

Open a File in Python

Reading a File

|

Writing to a File

Python seek() function

Python tell() function

7. Understand the Object-Oriented Approach in Python (Day: 13-15)

Here comes one of the most important parts of the Python learning journey – Object-Oriented Programming. You need to understand the Object-Oriented nature of Python Programming through various respective concepts such as class, object, instances, etc. You’re required to learn about the OOPs paradigms such as Inheritance, Polymorphism, Encapsulation, etc. in-depth to command the language. Moreover, you need to learn about several other crucial topics as well such as Data Hiding, Object Printing, Constructors & Destructors in Python, and various others.

Class, Object, and Members in Python

Inheritance

|

Polymorphism

|

Encapsulation

Data Hiding & Object Printing

Constructors

|

Destructors in Python

Garbage Collection in Python

8. Learn about Regular Expressions & Exception Handling in Python 

(Day: 16-18)

After covering the above-mentioned topics, now you’re required to understand several more advanced and underlying Python concepts such as Regular Expressions , Exception Handling , etc. When it comes to Exception Handling while learning Python, you’re recommended to cover several topics such as Errors and Exceptions in Python, User-Defined Exceptions, Python Try Except, Built-in Exceptions, etc. Moreover, you also need to focus on Regular Expressions in Python which signifies a sequence of characters that forms a search pattern. Several additional topics that can be taken into consideration at this stage are Python Database Interaction , etc.

Python Exception Handling

User-defined Exception

|

Built-in Exception

Python Try Except

Regular Expression in Python

MongoDB and Python

9. Go Through Multithreading & Python CGI 

(Day: 19-21)

Furthermore, you need to learn about a few more advanced topics such as Multithreading, Python CGI, etc. Multithreading in Python is concerned with various concepts such as Thread Control Block , Forking threads , Synchronizing threads , etc. Meanwhile, Common Gateway Interface (CGI) Programming in Python concerns the set of rules that are used to establish a dynamic interaction b/w a web server and the browser. Moreover, you are also recommended to go through other crucial topics as well such as Python Collections , etc.

Multithreading in Python

CGI Programming in Python

Python Collections

Counters in Python

Several Python Projects for Practice

Strategies for mastering Python Programming

### Strategies for Mastering Python Programming  

1. **Set Clear Goals and a Schedule**  

   - Define your objectives, such as building applications, data analysis, or web development.  

   - Create a realistic schedule with daily milestones to stay on track.

2. **Start with the Basics**  

   - Focus on Python fundamentals: syntax, variables, data types, and control structures.  

   - Practice frequently to reinforce your understanding.

3. **Break Down Complex Concepts**  

   - Tackle one topic at a time, like loops, functions, or object-oriented programming.  

   - Use analogies and examples to simplify challenging topics.

4. **Code Every Day**  

   - Dedicate time daily to coding, even for small tasks. Consistency builds proficiency.  

   - Solve simple problems on platforms like HackerRank, LeetCode, or Codewars.

5. **Learn by Building Projects**  

   - Apply your knowledge to real-world problems. Start with small projects, such as calculators or to-do apps.  

   - Gradually move to advanced projects like web scraping, machine learning, or game development.

6. **Leverage Online Resources**  

   - Use tutorials, e-books, and video courses on platforms like Coursera, Udemy, or Codecademy.  

   - Explore Python’s extensive documentation for deeper insights.

7. **Practice Problem-Solving**  

   - Engage in coding challenges to improve logic and algorithmic thinking.  

   - Participate in online coding competitions to test your skills.

8. **Collaborate and Seek Feedback**  

   - Join Python communities on GitHub, Reddit, or Stack Overflow to share code and learn from others.  

   - Review your code and learn from constructive feedback.

9. **Explore Python Libraries and Frameworks**  

   - Learn popular libraries such as NumPy, pandas, and Matplotlib for data analysis.  

   - Explore frameworks like Django or Flask for web development.

10. **Debug and Refactor Code**  

   - Practice debugging to understand errors and write efficient solutions.  

   - Refactor code to improve readability and performance.

11. **Stay Updated**  

   - Follow Python-related blogs, podcasts, and YouTube channels for the latest trends.  

   - Experiment with new features introduced in Python updates.

12. **Teach and Document Your Learning**  

   - Write blog posts, create tutorials, or teach others to solidify your understanding.  

   - Maintain a personal repository of your projects and learnings.

By consistently following these strategies, you can accelerate your mastery of Python programming and achieve your goals effectively.