Elevate Your Python Skills with 100+ Advanced Exercises – Unleash the Full Potential of Python’s Advanced Features!
Note: Course Free for limited time and limited users(500 limit) so Enroll ASAP. If not free it means you are late. Scroll Down and click Enroll Now button to get enrolled
This course includes:
- 28 mins on-demand video
- 103 coding exercises
- 108 articles
- Access on mobile and TV
- Full lifetime access
- Certificate of completion
Scroll Down and click Enroll Now Button to get enrolled into the Free Course
What you’ll learn
- solve 100+ advanced exercises in Python
- deal with real programming problems
- work with documentation and Stack Overflow
- guaranteed instructor support
Course content
15 sections • 114 lectures • 1h 9m total lengthCollapse all sections
Tips3 lectures • 1min
- A few words from the author00:54
- Configuration00:03
- Requirements00:03
Starter1 lecture • 1min
- Exercise 01 question
- Solution 000:00
Exercises 1-1010 lectures • 1min
- Exercise 11 question
- Solution 100:10
- Exercise 21 question
- Solution 200:06
- Exercise 31 question
- Solution 300:06
- Exercise 41 question
- Solution 400:06
- Exercise 51 question
- Solution 500:03
- Exercise 61 question
- Solution 600:12
- Exercise 71 question
- Solution 700:03
- Exercise 81 question
- Solution 800:14
- Exercises 91 question
- Solution 900:12
- Exercise 101 question
- Solution 1000:03
Exercises 11-2010 lectures • 2min
- Exercise 111 question
- Solution 1100:12
- Exercise 121 question
- Solution 1200:08
- Exercise 131 question
- Solution 1300:10
- Exercise 141 question
- Solution 1400:11
- Exercise 151 question
- Solution 1500:11
- Exercise 161 question
- Solution 1600:05
- Exercise 171 question
- Solution 1700:09
- Exercise 181 question
- Solution 1800:10
- Exercise 191 question
- Solution 1900:13
- Exercise 201 question
- Solution 2000:06
Exercises 21-3010 lectures • 2min
- Exercise 211 question
- Solution 2100:17
- Exercise 221 question
- Solution 2200:27
- Exercise 231 question
- Solution 2300:09
- Exercise 241 question
- Solution 2400:27
- Exercise 251 question
- Solution 2500:07
- Exercise 261 question
- Solution 2600:12
- Exercise 271 question
- Solution 2700:04
- Exercise 281 question
- Solution 2800:08
- Exercise 291 question
- Solution 2900:12
- Exercise 301 question
- Solution 3000:13
Exercises 31-4010 lectures • 2min
- Exercise 311 question
- Solution 3100:13
- Exercise 321 question
- Solution 3200:11
- Exercise 331 question
- Solution 3300:16
- Exercise 341 question
- Solution 3400:13
- Exercise 351 question
- Solution 3500:14
- Exercise 361 question
- Solution 3600:13
- Exercise 371 question
- Solution 3700:18
- Exercise 381 question
- Solution 3800:02
- Exercise 391 question
- Solution 3900:04
- Exercise 401 question
- Solution 4000:05
Exercises 41-5010 lectures • 2min
- Exercise 411 question
- Solution 4100:30
- Exercise 421 question
- Solution 4200:11
- Exercise 431 question
- Solution 4300:09
- Exercise 441 question
- Solution 4400:11
- Exercise 451 question
- Solution 4500:07
- Exercise 461 question
- Solution 4600:15
- Exercise 471 question
- Solution 4700:04
- Exercise 481 question
- Solution 4800:10
- Exercise 491 question
- Solution 4900:13
- Exercise 501 question
- Solution 5000:08
Exercises 51-6010 lectures • 3min
- Exercise 511 question
- Solution 5100:21
- Exercise 521 question
- Rozwiązanie 5200:26
- Exercise 531 question
- Solution 5300:37
- Exercise 541 question
- Solution 5400:19
- Exercise 551 question
- Solution 5500:02
- Exercise 561 question
- Solution 5600:07
- Exercise 571 question
- Solution 5700:09
- Exercise 581 question
- Solution 5800:11
- Exercise 591 question
- Solution 5900:04
- Exercise 601 question
- Solution 6000:16
Exercises 61-7010 lectures • 2min
- Exercise 611 question
- Solution 6100:16
- Exercise 621 question
- Solution 6200:15
- Exercise 631 question
- Solution 6300:04
- Exercises 641 question
- Solution 6400:09
- Exercise 651 question
- Solution 6500:04
- Exercise 661 question
- Solution 6600:07
- Exercise 671 question
- Solution 6700:05
- Exercise 681 question
- Solution 6800:10
- Exercise 691 question
- Solution 6900:10
- Exercise 701 question
- Solution 7000:10
Exercises 71-8010 lectures • 5min
- Exercise 711 question
- Solution 7100:21
- Exercise 721 question
- Solution 7200:09
- Exercise 731 question
- Solution 7300:11
- Exercise 741 question
- Solution 7400:30
- Exercise 751 question
- Solution 7500:30
- Exercise 761 question
- Solution 7600:34
- Exercise 771 question
- Solution 7700:36
- Exercise 781 question
- Solution 7800:38
- Exercise 791 question
- Solution 7900:42
- Exercise 801 question
- Solution 8000:49
Exercises 81-9010 lectures • 19min
- Exercise 811 question
- Solution 8101:07
- Exercise 821 question
- Solution 8201:28
- Exercise 831 question
- Solution 8301:33
- Exercise 841 question
- Solution 8401:35
- Exercise 851 question
- Solution 8501:47
- Exercise 861 question
- Solution 8602:00
- Exercise 871 question
- Solution 8702:04
- Exercise 881 question
- Solution 8802:16
- Exercise 891 question
- Solution 8902:23
- Exercise 901 question
- Solution 9002:39
Exercises 91-100+10 lectures • 2min
- Exercise 911 question
- Solution 9100:07
- Exercise 921 question
- Solution 9200:08
- Exercise 931 question
- Solution 9300:14
- Exercise 941 question
- Solution 9400:11
- Exercise 951 question
- Solution 9500:19
- Exercise 961 question
- Solution 9600:22
- Exercise 971 question
- Solution 9700:26
- Exercise 981 question
- Solution 9800:14
- Exercise 991 question
- Solution 9900:12
- Exercise 1001 question
- Solution 10000:07
Exercises 101+2 lectures • 1min
- Exercise 1011 question
- Solution 10100:10
- Exercise 1021 question
- Solution 10200:17
Configuration (optional)7 lectures • 29min
- Info00:13
- Google Colab + Google DrivePreview02:54
- Google Colab + GitHubPreview03:47
- Google Colab – IntroPreview09:57
- Anaconda installation – Windows 10Preview04:07
- Introduction to SpyderPreview02:56
- Anaconda installation – LinuxPreview04:39
Bonus1 lecture • 1min
- Bonus00:08
Requirements
- completion of all courses in the Python Developer learning path
Description
The “100+ Exercises – Advanced Python Programming” course is designed for intermediate to advanced Python programmers looking to solidify their understanding of the language and broaden their skills. This course provides a variety of challenges that tackle various advanced topics, such as decorators, context managers, generators, exception handling, concurrency, and more.
Each exercise in this course presents a unique problem that requires an understanding of Python’s more intricate features. Solutions are provided for every exercise, offering students the opportunity to compare their work with a recommended solution. This process not only helps to reinforce learned concepts but also stimulates the students’ problem-solving and critical thinking skills.
The course emphasizes hands-on practice and experiential learning, as it believes that the best way to truly understand a programming language is by actually programming. By completing these exercises, learners will have the chance to apply and strengthen their knowledge of advanced Python concepts, leading to greater proficiency and confidence in their programming abilities.
It is recommended that learners have a good understanding of basic Python concepts before attempting this course, as the problems are intended to be challenging and involve more complex aspects of the language.
The “100+ Exercises – Advanced Python Programming” course is perfect for anyone seeking to elevate their Python skills to a new level and become more adept at solving complex problems using this versatile language.
Python – Code with Simplicity and Power!
Python is a versatile and powerful high-level programming language known for its simplicity and readability. It provides a clean and expressive syntax that emphasizes code readability, making it easier to write and understand compared to many other programming languages. Python supports multiple programming paradigms, including procedural, object-oriented, and functional programming, allowing developers to choose the most suitable approach for their projects.
Python boasts a vast standard library and a rich ecosystem of third-party packages, providing a wide range of tools and functionalities for diverse application domains. It is widely used in web development, scientific computing, data analysis, artificial intelligence, machine learning, automation, and more. Python’s popularity stems from its ease of use, extensive community support, and cross-platform compatibility, enabling developers to write code once and run it on various operating systems.
With its beginner-friendly nature and extensive resources for learning, Python has become an excellent language for individuals starting their programming journey. Its simplicity and versatility make it an ideal choice for prototyping, rapid development, and solving complex problems with concise and elegant code. Python’s philosophy of readability, combined with its broad application domain, has propelled it to be one of the most widely adopted programming languages across industries and disciplines.
Who this course is for:
- experienced Python developers who want to deepen their understanding and mastery of advanced concepts and techniques in Python programming
- programmers or software engineers who have a strong foundation in Python and want to explore advanced topics such as metaprogramming, decorators, context managers, generators, and more
- professionals working on complex Python projects or in fields such as data science, web development, or system administration, who want to enhance their skills and solve more advanced programming challenges using Python
- Python enthusiasts who enjoy pushing the boundaries of the language and want to explore advanced features and patterns to write more efficient, maintainable, and Pythonic code
- self-learners who are eager to expand their Python knowledge beyond the basics and develop a deep understanding of advanced programming concepts in Python
- developers from other programming languages who want to master advanced Python programming techniques and leverage Python’s rich ecosystem for their projects
Note: The course is free for a limited time and limited to 500 users. Enroll as soon as possible. If it is no longer free, it means you are late, and it has already exceeded its limits.
