-
Notifications
You must be signed in to change notification settings - Fork 0
/
Copy pathNext-Steps.py
70 lines (43 loc) · 2.89 KB
/
Next-Steps.py
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
#* Next Steps - Python
# If you've already worked with Python and are looking to take the next step, here are some areas and
# concepts you could explore:
#? 1. **Web Frameworks:**
# Learn a Python web framework to develop web applications efficiently. Flask and Django are two popular
# options. Flask is minimalist and easy to learn, while Django provides a more complete set of features.
#? 2. **Databases:**
# Get familiar with accessing databases from Python. You can start with SqLite and then explore more
# powerful databases such as PostgreSql or MongoDB. SqlAlchemy library is useful for working with
# databases in a more abstract way.
#? 3. **Mobile Application Development:**
# Use frameworks like Kivy or BeeWare to develop mobile applications with Python. You can too explore
# PyQt or Kivy to create graphical user interfaces.
#? 4. **Machine Learning and Artificial Intelligence:**
# If you haven't already, explore popular machine learning libraries like TensorFlow and PyTorch. You can
# also do artificial intelligence projects using libraries like scikit-learn.
#? 5. **Task Automation:**
# Go deeper into task automation using libraries like Selenium for web automation or fabric for the
# automation of tasks in systems.
#? 6. **Game Development:**
# Experiment with game development using libraries like Pygame. This will allow you to create simple games
# and understand the basics of game programming.
#? 7. **Restful Api Development:**
# Learn how to build and consume Restful Apis using frameworks like Flask or Django Rest Framework. This
# is essential for developing web services.
#? 8. **Extension Development:**
# Explore the possibility of developing extensions for existing applications. For example, you could
# develop extensions for text editors like VsCode or for web browsers.
#? 9. **Docker and Container Orchestration:**
# Get familiar with Docker for creating and managing containers. Then learn to orchestrate containers
# using tools like Docker Compose or Kubernetes.
#? 10. **Test Automation:**
# Learn how to write automated tests for your code. The `unittest` library is part of the Python standard
# library, but you can also explore tools like pytest.
#? 11. **Contribution to Open Source Projects:**
# Consider contributing to open source projects in Python. This will give you practical experience and
# will allow you to collaborate with the developer community.
#? 12. **Application Deployment and Administration:**
# Learn about application deployment, server configuration, and systems administration. Tools like Ansible
# can be useful in this context.
# Remember that constant practice is key to improving your programming skills. Choose projects that
# interest you and that challenge you, and don't hesitate to explore new technologies and concepts
# as you advance in your career as a Python developer.